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Iot and IIoT has made it a long way in the past several years. In fact, according to Forbes, trillions of dollars are at stake as the Industrial Internet of Things rolls out over the next decade. But, has the multi-tillion dollar trend lived up to the hype?

It could be many more years until certain industries reach the levels described in the hype.  Here’s the industries you should keep your eye on when it comes to IIoT technology.

The Internet of Things and the Industrial Internet of Things (IoT and IIoT, respectfully), widely encompasses many concepts, technologies, and products, but can generally be described as:

  • A system that contains wired or wirelessly connected components which relay data that can be analyzed or used to control an output of the system
  • A network that allows for automated information exchange between two devices
  • A vision where any and all systems are connected to gather masses of data that will lead to overall improved performance, insights, and control

As of 2018, we most commonly see IoT being used for location tracking, remote monitoring, and preventative maintenance.  Yet, for IIoT the most common application is preventative maintenance. Many of these IIoT systems report back to a control interface, and are not completely automated control loops that are self-evaluating or self-improving.

 

There are some industries in particular that stand out when looking at the IIoT.  We looked at trends that will progress through the end of 2018 into 2019, and asked the following questions.

  1. What industries will be most affected by IoT solutions?

According to BI Intelligence, the ‘Manufacturing’ and ‘Transportation and Warehousing’ industries have received the highest amount of investment in IoT to date.  These investments, totaling $230B between the two industries over the past few years, will continue to drive impressive progress in the development of IoT solutions. 

  1. Who will be the key players in IIoT Solutions in 2019?

We are currently witnessing a race to capture the IIoT market.  AT&T is collaborating with Honeywell, Verizon offers a machine-to-machine (M2M) management platform called ThingSpace, and startups like Uptake Technologies are raising absurd amounts of capital to compete with existing analytics giants. Uptake alone has raised $218M since 2015, and specializes in analytics of complex data sets. 

Nearly all of the corporate giants you would expect to have a stake in the race are putting serious resources behind their efforts.  GE is offering Predix, and end-to-end Industrial IoT Platform, and has incorporated capabilities like Predix Edge to allow for edge computing within the platform.  Siemens offers their own Industrial IoT platform called MindSphere, and Bosch is also getting in on the action now offering their IoT Suite publicly available on AWS Marketplace. Further, Schneider Electric developed WonderWare and SAP offers Hana.

We expect that through 2019 we will see more partnerships develop, offering cross compatibility between the many platforms which are available today.

  1. What further developments in IIoT can we expect in the near future?

Security will continue to be a major focus for all providers and users of the IIoT.   In a recent publication Steve Watson, CEO of VTO Labs, explains “security and specifically the ability to detect compromised nodes, together with collecting and preserving evidences of an attack or malicious activities emerge as a priority in successful deployment of IoT networks.” This ability to detect and preserve evidence of a cyber-attack will not only need to occur through edge computing, but it will also need to be maintain its integrity with interoperability of different systems that are linked together.

Given the amount of investment we are seeing in the ‘Manufacturing’ and ‘Transportation and Warehousing’ industries we expect to see many breakthroughs in both cyber security for the IIoT and interoperability between the many IIoT platforms. Looking into 2019 we can expect to see more partnerships between major sensor providers and network providers, such as the AT&T Honeywell collaboration we saw in 2018. With more interoperability and collaboration, 2019 may be the year that we see the major breakthroughs in IIoT we’ve been expecting.

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Until recently, we knew unicorns were mythical creatures which made an appearance only in Greek literature, the Bible, and Marco Polo’s travels. While not a single unicorn was ever discovered in the real world, these days, we seem to be dealing with a whole bunch of them, especially when it comes to business.

Technology has played a crucial role in small and medium businesses, made startups fashionable. Today we have many unicorns trotting about the business landscape.

The unicorns are celebrated for their successes and business acumen. Essentially, a unicorn is a start-up that is valued over $1 billion. When you think of them, think about, AirBnB, Uber, Xiaomi or even Flipkart. These are the new set of businesses that have disrupted the market in their respected sphere. But companies rise and fall all the time, so one may be tempted to ask what is so magical about these creatures?

The term Unicorn was coined in a TechCrunch article by Aileen Lee of Cowboy Ventures.

Part of the charm lies in reinventing the business model. They find a better way to do business. It may be a new idea or an improvement over the existing one. They offer a vision; a glimpse of what the future may hold and have an intense desire to grow.

Fuelling these dreams through constant innovation and the ability to adapt quickly. Precisely where some of the giant falter. Large businesses are bogged by internal processes and complexities resulting in delayed decision-making, allowing a start-up to swoop in.

 According to a study by CB Insights, there are around 175 unicorn companies globally.

The Unicorns and the Internet of Things

Many entrepreneurs have realized that IoT/IIOT technologies can level the playing field if they intend to dislodge industry giants. IoT Start-ups are looking to attract consumers or SMBs or large enterprises by increasingly relying on innovation on cloud and edge computing, IoT platforms, Artificial intelligence, IoT networks, IoT security or IoT devices.  Advanced technology is a key differentiator but not the only one- A new business model to attract customers could also become the initiator of a new unicorn.

After five years of exploring the fragmented but rich universe of IoT startups, no new unicorn has yet appeared. The most promising startups have seen their light turned off behind the Tech and Industry Giants check books. Those who are still pursuing their dreams of being unicorns see that the market does not accompany and no longer rely on analysts' predictions.

With all this, we may not see any unicorn of IoT. However, if I had to bet on some startups then these are my suggestions. 

The IoT Application Unicorn

My vote for the startup to become a unicorn in IoT Application category goes to: Uptake

Founded in 2014 by the CEO, Brad Keywell, that was also Co-Founder of Groupon, the company counts with a good number of investors. The company is stealing execs away from GE. (Uptake hiring several General Electric top digital executives) and have raised around $260 million since launching in 2014. Uptake was last valued at more than $2 billion, in fact, this startup is probably the first IoT unicorn. Uptake's revenue run-rate exceeds more than $100 million a year and future rounds of financing are expected.

LinkedIn profile: “Uptake helps industrial companies digitally transform with open, purpose-built software that delivers outcomes that matter. Built on a foundation of data science and machine learning, our vision is to create a world that always works — one where the machines and equipment we depend on daily don’t break, and industrial companies are once again the creators of economic growth and opportunity.”

WHY MY VOTE: Predictive analytics software is hot. The company sells to the mining, rail, energy, aviation, retail and construction industries and hopes to leverage data to improve safety, efficiency and productivity for their clients' operations. In spite his CEO has not accepted my LinkedIn invitation, no surprise to be honest, only 54% approve of CEO in glassdoor, the aggressive campaign against GE could launch the company this year. I like that his employees are sent directly to the field to observe fast hand the needs of its client base so they can really build software that solve real business problems.

ALSO FOLLOWING: FogHorn Systems a developer of “edge intelligence” software for industrial and commercial IoT applications..

The Hardware and Sensor Data platform Unicorn

My vote for the startup to become a unicorn in IoT hardware category goes to: Samsara

Samsara sells hardware and end-to-end solutions for fleet and industrial applications.

Samsara was founded in 2015 by CEO Sanjit Biswas and CTO John Bicket, who previously founded and led Meraki – a successful cloud networking company that was acquired by Cisco in 2012 for $1.2 billion. Samsara is based in San Francisco and was funded by Andreessen Horowitz (Raising $25M in funding). In May 2017, the startup announced that it had secured $40 million in a Series C funding round.

Sanjit Biswas, recognized that “They were definitely not the first to notice the technology trend behind the Internet of Things movement, but they realized no one was building products the way we did at Meraki, by combining hardware, software and cloud into an easy-to-use system”.

LinkedIn profile: “Samsara’s mission is to bring the benefits of sensor data to the organizations that drive our economy—from transportation and logistics to construction, food production, energy, and manufacturing—and to improve the safety, efficiency, and quality of their operations.”

WHY MY VOTE: Although not on this occasion his CEO accepted my invitation to LinkedIn, I like that Samsara disrupts the traditional sensor model with an integrated, software-centric solution. The products combine plug-and-play sensors, wireless connectivity, and rich cloud-hosted software, all tightly-integrated for simple deployment. Samsara is used by customers in a wide variety of industries, from transportation and logistics to energy and manufacturing. The company offers various solutions including fleet, ELD compliance, trailer, industrial, temperature, and power.

By focusing Samsara system for ease of use and streamlining deployments in the field, the teams were able to make several design choices that help them deliver a 10 times overall improvement over traditional solution. Samsara was in the list of “The 20 Fastest Growing IoT Companies” and is demonstrating is able to capture customers  in the fleet management and logistics industry against Verizon. The challenge is growth globally not only in US.

ALSO FOLLOWINGGeotab

The IoT Connectivity Unicorn

My vote for the startup to become unicorn in IoT connectivity category goes to: SigFox

LinkedIn profile: Founded in 2010 by Ludovic Le Moan and Christophe Fourtet, the company is headquartered in Labège near Toulouse, France’s “IoT Valley”. Sigfox provides connectivity for the Internet of Things (IoT). The company has built a global network to connect billions of devices to the Internet while consuming as little energy as possible, as simply as possible.

WHY MY VOTE: There are drastic limitations in the Sigfox global network. I could say that this will be the network of the stupid devices, but if they improve the network, ensure scalability, quality and security and allow interoperability with their competitors that will connect the most intelligent devices, then this startup will continue empowering companies to create new innovations on the IoT.

Sources announced that Sigfox is in peril as Senior Execs exit. The company has reacted but the pressure to growth in revenues and network deployment is high. Compete with the Telco Incumbents and the mighty powerful GSMA is a Hercules' own task. Some help from the French government and the EU will be appreciated, so the company can not be acquired. The Board and investors should guarantee the money the company need to comply with the high expectations of the market. In my opinion the window of opportunity is 2020. They have 2 years to demonstrate they can become the IoT-Connectivity unicorn.

ALSO FOLLOWINGActility, Link Labs, and of course the LORA alliance and M2M Service Providers.

The IoT -AI Platform Unicorn

My vote for the startup to become a unicorn in IoT/AI platform category goes to: C3IoT

I have written a lot about IoT platforms and I think that most startups will disappear in 3-5 years or they will never become a digi-unicorn. But there is a special case that can reach the end of the road. Mainly for who is behind, my old CEO Thomas Siebel.

LinkedIn profile: C3 IoT is an AI and IoT software platform provider for digital transformation. C3 IoT delivers a comprehensive and proven platform as a service (PaaS) for rapidly developing, deploying, and operating large-scale AI, predictive analytics, and IoT applications at scale for any enterprise value chain in any industry. At the core of the C3 IoT offering is the revolutionary C3 Type System—an extensible, model-driven AI architecture that dramatically enhances data scientist and application developer productivity. C3 IoT also offers configurable, high-value SaaS products for predictive maintenance, fraud detection, sensor network health, supply chain optimization, energy management, and customer engagement.

WHY MY VOTE: In January 17, 2018, the company announced a new round ($100 Million) of financing by existing investors TPG Growth, Breyer Capital, Sutter Hill, Pat House, and Thomas M. Siebel.

After the sale to Oracle of its CRM business, Tom, could with this new adventure, return to be relevant in the industry and I think he will not allow his new baby to be acquired. Not at least until he makes C3 IOT a unicorn.

ALSO FOLLOWING: The competition in the AI-powered industrial IoT sector is brutal, but the opportunity is big enough that the 10 startups highlighted here still have room to maneuver and time to scale up. I also keep an eye on them because one or more could well be the next unicorn in this hot market.

Key Takeaway:

Not being a IoT unicorn is not a tragedy. Many companies that started in the M2M business or that have been born in the heat of the IoT are doing well. Their employees are happy and satisfied customers guarantee a long life.

In my post “Is it possible to democratize the Internet of Things? How to avoid that a handful of companies can dominate the IoT”, I pointed out the opinion of Ryan Lester (Director of IoT Strategy, Xively by LogMeIn company acquired by Google). Ryan alerted that IoT feels only achievable to those companies with unlimited resources to make it happen. Looks like, the facts have given him the reason.

Yes, I admit, I would like to see unicorns in IoT. I would also like startups not to be obsessed with this issue and not throw in the towel too soon. If they are acquired, their legacy is very likely to be lost soon and in exchange for money they will have lost the opportunity to contribute to changing the world with their unique innovation in IoT.

Thanks in advance for your Likes and your Shares.

References:

http://www.moneycontrol.com/india-business-live-ibl/growth-for-sme/article/unicorns-in-our-midst-7501221.html

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One year ago, I wrote the first part of this article: “Who need an IoT Analyst?. In those first part, I classified the different types of analysts who are involved in one way or another in the Internet of things (IoT).

In this second part, I will address the special case of analysts specializing in IoT Platforms. For them, I have created 4 categories of IoT Platform Analysts (The Powerful, the Specialists, The Opportunist and the Intruders) and then I ranked them following two high level criteria: Technical Experience criteria and Business Experience criteria.  The level of influence is a subjective value based on my own research and perception.  Likewise, the position in terms of technical and business criteria is also subjective. As usual in these graphics some will feel comfortable and I will receive critics from others. Nothing new under the Sun.

Let us start for the Powerful category:

The IoT Platforms Powerful Analysts' Firms

We will never remove at 100% the shadow of doubt flying over the reports and recommendations that prestigious and powerful firms like McKinsey, Gartner, IDC or Forrester continue to publish. But it also true that these multinational companies count with great analysts and they have the contacts with the right people in the Big IoT platform vendors, so they can get not only marketing info but strategic info from these vendors that is nearly impossible to get for others.

Not all the Powerful always agree, just read the Forrester reports of Q4/2016 and Q4/2018 and compare with Gartner report 2018 or IDC report 2017 to see the differences and the reasonable doubts for customers that only read these reports.

In Forrester reports from 2016 and 2018 we see some leaders maintaining their positions while other companies are losing moment, or they are not anymore in the picture.

Surprise even more if you see the Gartner graphic below with no leaders and most companies in the Niche players segment.

Finally, in the IDC Marketspace IoT Platforms picture dated in 2017 we see that Microsoft, PTC and IBM repeat as Leaders but new companies are included. No Contenders neither participants are interested for the guys of IDC.

Recommendation –  In terms of methodology and scope the reports of these Powerful analyst is not so bad, but they lack the in deep analysis firms required for a customer to take a final decision. These reports are valuable to shortlist candidates in RFIs/RFPs and of course the report is an excellent sales tool for companies that appear in the picture. My recommendation is used it for a first filter.

The IoT Platforms Specialist Analysts' Firms

Some of them started with the M2M market and have evolved to the IoT in a gradual way, without losing its essence like ABI Research, Berg Insight, Beecham Research, Harbor Research. Others like MatchManation or IoT Analytics, however, focused from the beginning in the IoT platform market analysis.

The populated market of IoT platform vendors and the need of these startups for brand recognition with low cost marketing, have made it bloom IoT platform specialist analyst firms offering their services.  Their suspense sales strategy can be annoying. Go discovering who is who is not easy and put all the tracks together is expensive. Some examples below. Nevertheless, I want to thanks to some vendors included in the report that allow download partial reports.

Recommendation - The reports of IoT Platform specialists will help us discover some jewels that the Powerful have overlooked or have not wanted to pay to appear in their famous reports. I do not like how these companies use a game-strategy offering partial pictures or partial reports through their most valuated clients or generic pictures with no names. I believe they need to be courageous and present graphics will all companies’ logos. Otherwise they will be continuing in a niche market that soon will be owned for the Big Players.

The Opportunistic Firms

These analyst firms want to take advantage of the IoT platform moment. Companies such as Navigant, IHS market, 451 Research or Constellation Research have published reports on this topic.

Recommendation - I find their IoT reports useful from a vertical or an individual vendor analysis.

The Intruders Firms

There are other firms (The Intruders) that in my opinion are aggregators of content. Companies like Markets and Markets or Data Bridge deliver big reports with excellent pictures, tables and infographics.

Recommendation - Sometimes they provide for free a Table of Contents with dozens of tables, and a list of dozens of IoT platforms info but I am afraid that in 1 page per platform the info sounds irrelevant for take a decision. They facilitate the multi search in Google to identify IoT platform vendors.

Note: I have not included in this article Universities that produce very interesting to read reports including more granular technical criteria than most of the powerful or specialist analyst firms. 

Key Takeaway:

Recommending a client an IoT platform is a very delicate matter. The IoT platform will play a key role in the execution of its IoT strategy. Giving good advice on the choice of these platforms requires a lot of time and dedication with the client to understand their objectives, identify their use cases, know their organization and their IT / OT systems.

The reports of the analysts of IoT platforms, both those of the Powerful and those of specialists help to make a first filter and to select 3 or 4 vendors that best adapt to their needs. Thereafter, these finalists need to be analyzed in greater depth. That is why I decided to create our IoT Platforms services, which have been so successful and well received by our customers.

We value positively that this combination of IoT Platform vendors and IoT platform analysts exists. The Powerful ones help them as always and the small ones help them in their efforts to be noticed in a technological world as little democratic as the present one.

Thanks in advance for your Likes and your Shares.

 

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Those who regularly read my articles know that I like movies and TV series. Just remember my article "About IoT Platforms, Super Powers Methodology, Superheroes and Supervillains".

This time my article is dedicated to the two trilogies: Jurassic Park and Jurassic World (the latter still pending the third movie).

 

Have not passed millions of years since the appearance of the first telemetry species and their evolved cousins of Machine to Machine (M2M.) But the tempo in technology is measured differently. The unit of time here has to do with Gartner Hype Cycle. For Gartner the technologies pass quickly from Innovation Trigger to Productivity. Companies that want to appear in Gartner´s  Magic Quadrants have to adopt successfully these technologies or are condemned to  disappear.

 

Large companies that have been in the IT world for more than 15 years seem like dinosaurs and they themselves are afraid of disappearing because of a meteorite (IoT metaphorically).

 

In this article I present some technology companies that we could consider as dinosaurs and that are undergoing a cloning (transformation) to adapt to the new world of the Internet of Things (IoT), Artificial Intelligence(AI) or Blockchain.

 

As usual in this type of articles, the included companies and the classification is subjective. Therefore, not all dinosaurs are represented (47 species of cloned animals have been portrayed in the novels and films) nor all companies can feel be represented by the dinosaur that I have chosen for them.

 

Welcome to my Jurassic World of IoT.

The threats to these cloned dinosaurs are constant. Despite its size and strength many predators lurk to take down these giants (Uptake digital safe package over GE Digital).

Some species go in packs (Google and Ayla Networks or Microsoft and Electric Imp) to survive and others seek alliances with other cousins giants (Rockwell to take $1 billion stake in software maker PTC) the best way to reign in its territory.

 

There are also dinosaurs in the WestWorld of the Telcos and in the world of Industrial companies that are adapting or cloning, but that is another story.

 

Your comments and suggestions can vary my Jurassic World table of the IoT.

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The internet of things is huge right now. Where is it headed? What is the future of IoT? Take a look at our infographic to understand what exactly the internet of things is and some intriguing statistics on where it is headed.
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The dream of making money with IoT, AI and Blockchain

Have you ever think about how could you make money with the Internet of Things (IoT) or Artificial Intelligence (AI) and of course with Blockchain?  What would happen if you could use the three of them in a new business model?.  Apparently, Success, Success and Success.

In the next sections I provide information of some business models implemented with these three technologies.

IoT Business Models

As IoT moves past its infancy, certain trends and economic realities are becoming clear. Perhaps the most significant of those is the realisation that traditional hardware business models just don’t work in IoT. Take a look at “The top 5 most successful IoT business models” that have emerged as particularly effective applications for IoT.

If any of you is building an IoT product, this article ” IoT Business Models For Monetizing Your IoT Product”  show how to make money with IoT.

Zack Supalla, the founder and CEO of Particle, an Internet of Things (IoT) startup, suggest “6 ways to make money in IoT”.

Finally, in “How IoT is Spawning Better Business Models” we can read three ways companies like Rolls Royce, Peloton, MTailor or STYR Lab  was rethinking their business model and have created revolution in the marketplace. 

Blockchain Business Models 

It sounds repetitive, but yes "Blockchain technology may disrupt the existing business models”. The authors´ s findings concerning the implications of blockchain technology for business models are summarised in the following picture.

 

Do you think that blockchain will likely to cut into big-players’ revenues? Then, this article: “New Blockchain-Based Business Models Set to Disrupt Facebook and Others”, is for you.

If you are ambitious and you are planning to build a viable business on blockchain, then read “Building an International Business Model on Blockchain”.

I am also an advocate of the coming era of decentralization (at least in my most optimistic version) and Blockchain is a step more to create value when the End of All Corporate Business Models will arrive.

AI Business Models 

Companies from all industries, of all shapes and sizes are thus faced with an important set of questions: Which AI business models and applications can I use ? And what technologies and infrastructures are required?.

It seems that we all are convinced that artificial intelligence is now the most important general-purpose technology in the world that can drive changes at existing business models. Not surprised then, that  AI is Revolutionizing Business Models.  The “data trap” strategy, that in venture capitalist Matt Turck’s words consists of offering (often for free) products that can initialize a data network effect. In addition, the user experience and the design are becoming tangibly relevant for AI, and this creates friction in early stage companies with limited resources to be allocated between engineers, business, and design.

This article introduces  some good examples of AI business models :

New Business models with the intersection of IoT, AI and Blockchain

With IoT we are connecting the Digital to the Physical world. Connected objects offers a host of new opportunities for companies, especially in terms of creating new services. The amount of data generated by the billions of connected objects will be the perfect complementary feed to many AI applications. Finally, blockchain technology could be used to secure the ‘internet of things’ and create smart contracts in a decentralized infrastructure that boost the democratization of technology and creation of sustainable communities.

You must remember that new business models that include IoT, AI and blockchain need among other characteristics: Volume and Scalability. Volume of devices, Volume of data, Volume of customers, volume of developers and powerful ecosystems to escalate. 

Good luck in your search and implementation of your new business model.

Thanks for your Likes, Comments and Shares

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Too much time waiting for the IoT year

After years of waiting for my wishes to finally come true that it was finally the year of IoT, I give up. There will be no IoT year. Other technologies are usurping the dubious privilege of leading the technology bubble. Blockchain and Artificial Intelligence are now much cooler.

As has happened on many previous occasions, the IoT will be replaced by other acronyms that will make you forget bad experiences and failed expectations. And with the new acronyms the illusions of those of us who continue to trust in the beneficial implications that the "new IoT" will bring to society will appear again.

Event Organizers were the first to notice the decline of IoT

The first to realize this situation were the organizers of IoT events. If a couple of years ago the weight of the new secondary on stage (Blockchain and AI) did not seem worrying to detract from the main actor (#internetofthings). Now they are the stars and the IoT is marginalized and surrounded by other technologies, badly hurt and melancholy.

Quo Vadis IoT events ?

Will IoT events disappear? Sure. Doesn’t matter if is in 2 or 3 years, but IoT only events will not make sense. In the last 3 months I attended several IoT events in London, Amsterdam, Madrid, Bilbao. I see a slow decline and transformation of #IoT events. Most of them do not satisfy my expectation. I am tired and saturated of see the same tired case studies parroted over and over again.

As my friend Rick Bullotta, I'd like to see some more innovative stories, some failure stories/lessons learned, some HARD FACTS about how long it looks to build, what it cost to build, return on investment.

Of course, we will continue seeing IoT companies, products and services in the Big Events like CES in Las Vega, MWC in Barcelona or Cebit and Hanover Messe in Germany or in industry specific events or company specific events like PTC LiveWorx or Bosch ConnectedWorld .  But the same way that we do not see today Internet events we will not see Internet of Things events beyond 2020. It will be a good sign because the Hype will have disappeared and the reality and the market will have been imposed.

                                                 Thanks for your Likes, Comments and Shares                  

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We are in the dawn of a new cyber society. A society where organizations shall design plans to utilize the unique skillsets of both AI Systems and humans. A society where Humans and AI systems shall work and live together and without fear. A society where humans shall use newfound time and freedom to advance strategic skills and individual talents.
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As the Global PM and CTO for Lumada, it's been a rewarding journey to create a portable Industrial #IoT platform that could run at the Edge on a factory floor, in a train, inside a data center or in any hyper-scale public cloud.

This composable platform (use just what you need for your specific use case) combined with our revolutionary Asset Avatars (Digital Twins) that bring Lumada to life, is the very definition of "Visionary." I also want to send a big congratulations to our Visionary friends at PTC (ThingWorx) and SAP (Leonardo).

Our #Lumada #IIoT platform coupled w/ our IoT Hardware Appliance takes you from #Edge to #Cloud.

Thanks to all the Hitachi collaborators, colleagues and friends I was lucky enough to take this journey with.

Get a free copy of the Gartner report here:
https://www.hitachivantara.com/ext/gartner-magic-quadrant-for-industrial-iot.html

-Rob

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After years of evangelization waiting for the promises of the Internet of Things (IoT) to come true it seems that we are finally close to reaching the trough of disillusionment phase, we begin to forget all the hype generated so far and focus on reality. A harsh reality that involves selling IoT and not continue selling smoke anymore

THE TIME TO SELL IoT IS NOW

The sale of IoT is perhaps more complex than the sale of other disruptive technologies such as Big Data, Cloud or AI and maybe as complex as Blockchain today.  In the article “ Welcome to the first “Selling IoT” Master Class!” I commented how it should be  the evolution of M2M Vendors for sell IoT and how should be the evolution of IT Technology Vendors for sell IoT. However, many of these companies still have difficulty in forming and finding good sellers of IoT

The truth is that nowadays it does not make any sense to sell IoT as a technology. Enterprise buyers only want to buy solutions that provide measurable business outcomes while, in the other side, many IoT Vendors only want to sell their portfolio of products and services that have been categorized under the umbrella of IoT, either as quickly as possible or at the lowest possible cost.

During last 5 years, I have been analysing how IoT companies sell their products and services. Some of my customers (Start-ups, Device vendors, Telco Operators, Platform vendors, Distributors, Industry Applications, System Integrators) requested me to create IoT sales material to train their sales team about how to sell their IoT solutions and services. And sometimes I also helped Head Hunters or customers searching for IoT sales experts

Based on this varied experience I have launched this year a new service: “IoT Sales Workshops” to help companies train their internal teams in how to sell IoT. Here are some of the lessons I learned

  • There is a time for act as an IoT Sales generalist and a time for act as an IoT Specialist.
  • You need to adapt the IoT storytelling based on your audience.
  • Being an IoT expert is not synonymous with being successful in selling IoT.
  • You need to show how companies can get more out of IoT by solving a specific business problem.
  • Make it easy for the customer to see the benefits of your IoT product or IoT service and what is the value you are adding.
  • Given the complexity and specialization of IoT by vertical, explain companies the need to focus more closely at business cases, on their IoT business model as well as the ROI over three to four years before jumping into technology.
  • You need to be patient because IoT selling is not easy and takes time align strategy and business needs with the IoT products and services you are selling.
  • Build a strong ecosystem and make easy the customer the adoption of end to end IoT solution collaborating with your partners.
  • Train your IoT Business and Technical experts to get better at telling stories. Design a new marketing and sales communications playbook. Keep it simple. Build your narrative from the foundation up – one idea at a time.
  • If you want an IoT sales expert you need to pay for it (not expect miracles from external sales agents working on commission base).
  • IoT Sales is a full-time job. You will not have time to other enterprise activities.
  • Selling IoT to large enterprises is a teamwork process.
  • Be Persistent. Do not expect big deals soon.
  • Be Passionate, Be Ambitious, Be Disruptive to sell IoT.

Summary

I do not consider myself an IoT sales expert. And of course, neither a superman of sales. In fact, I have shied away from classifying myself in the role of a pure salesperson even though over time I have given a weight and value to this work that once seemed derogatory to me.

Sell IoT is not easy. In a few years we will have forgotten of the word IoT and we will be selling new hypes, but in the mean time you need to be prepared for disillusionment moments, long sales cycles and a lot of work with sometimes poor results. However, I do not know if will be 2020, suddenly if you persevere you probably will be awarded as the best IoT sales expert and you finally will earn a lot of money.

Be Persistent, Be Passionate, Be Ambitious, Be Disruptive to sell IoT

 

Thanks for your Likes and Shares

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IoT Evolution or IoT Revolution

During all these years evangelizing on the Internet of Things (IoT), I have been explaining to customers, partners and friends that IoT can positively change the way we do business and the way we live our lives.  I have been asked if IoT is a new revolution in our society, or it is just one more step in the technological evolution of the he digital revolution. Today, the debate continues but whether evolution or revolution, The Internet of Things is here to stay.

If you have read AIG´s whitepaper entitled “Internet of Things: Evolution or Revolution?” you learned IoT, from its origins, to its applications in business, the risks associated with its inevitable arrival and how with the IoT is coming bringing dramatic changes. In the whitepaper we discover that in spite IoT is often presented as a revolution that is changing the face of society or the industry in a profound manner. It is an evolution that has its origins in technologies and functionalities developed by visionary automation suppliers more than 15 years ago

I definitely think it’s an evolution

The development of the Internet of Things is a bold move. IoT is not just a leap from the Internet. The Internet of Things brings with it an evolutionary force that we rarely see in technology.

It is important not scare the most conservative enterprises. It is not about ripping out current automation systems to replace them with new technologies. End users will resist rapid and radical change because of the increased risk of downtime and associated costs.

I think that this debate should be framed in a more general question. What Age period are we living?

 

The Connected Age or the Age of Sensorization

I consider the start of the Connected Age when the Internet of Things term was coined by Kevin Ashton executive director of the Auto-ID Center as the title of a presentation he made at Procter & Gamble (P&G) in 1999. Probably Kevin envisioned that the move to sensorization will transform every industry in the world.  In the Age of Sensorization, it’s possible to make more accurate and quantifiable assessments using real time sensor based information.

The main driving force behind the Connected Age is data – data that can be collected, data that can be analysed, data can be shared and data can be used to improve many service offerings.

Data is the new oil in this AgeThe global sensorization is driving new ideas and thoughts that will ultimately drive innovation in our personal, business and working lives. Sensor´s data is opening up new opportunities, driving new business models and taking innovation to new levelsNo doubt that sensors’ data is a valuable commodity. The European Commission has proposed to impose a tax on the revenue of digital companies based on their users’ location, on the grounds that “a significant part of the value of a business is created where the users are based and data is collected and processed.”

We are still living in the Connected Age. I expect this Age ends in 2025, no because there will not be more things to connect but because is when most of things will become intelligent and start controlled by robotsThe Robotic Age or the Age of Artificial Intelligence

Reading Genesis of AI: The First Hype Cycle, I  rediscovered how Artificial Intelligence (AI) was born and evotution till now. But it was after I read Your Data Is Crucial to a Robotic Age. Shouldn’t You Be Paid for It? I realised maybe I was wrong and we already living the final years of the Connected Age and we are entering before 2025 , not without a certain fear, the Robotic Age.

According to IDC: ”By 2019, 40% of digital transformation initiatives – and 100% of IoT initiatives – will be supported by AI capabilities.

Qualcomm envision a world where edge AI makes devices, machines, automobiles, and things much more intelligent, simplifying and enriching our daily lives.

AI has emerged as the most exciting capability in today’s technology landscape. It’s potential is rich in large, complex organizations that generate massive amounts of data that can be fed into AI systems.

Data is the crucial ingredient of the AI revolution. We can envision that  AI -driven companies will represent the future of broader parts of the economy and  we may be headed for a world where labor’s share falls dramatically from its current roughly 70 percent to something closer to 20 to 30. At the same time the number of robots will increase and be part of the society.

Robotics and Artificial Intelligence have reached a crucial point in their evolution. A robot is no longer just a mechanical device capable of interacting with its environment and carrying out an assigned task. At present, the main research laboratories all over the world are developing and implementing in sophisticated robots technical, practical and even philosophical tools. Nevertheless, we can not forget that there are still problems in the land of AI.

Could we avoid psychopath and sociopath robots?

Companies need to move quickly to embrace AI so that they can support the burgeoning Internet of Things (IoT) and deliver the kinds of services customers are demanding.

Finally, if your company is thinking about Build or Buy Artificial Intelligence, take a look at this article.

The Cognitive Age

The cognitive revolution was a period during the 1950s-1960s when cognitive psychology replaced Behaviourism and Psychoanalysis as the main approach in psychological fields. Increasing focus was placed on observable behaviours in conjunction with brain activity and structureFor those of you who believe the mind the centre of all things, David Brooks, the New York Times columnist, wrote two editorials  that point to wider transformations that are shaping the world in which we liveWe could consider the start of Cognitive Age when Facebook abandoned an experiment after two artificially intelligent programs appeared to be chatting to each other in a strange language only they understood. The two chatbots came to create their own changes to English that made it easier for them to work – but which remained mysterious to the human.

Are we sure Facebook shut down Its Artificial Intelligence Program?  Facebook not the only company or government running secrete AI programs. Are you scaredThere are many myths about Cognitive. This article pusblished by Deloitte the Consulting company help dispel five of the most persistent myths.

  • Myth 1: Cognitive is all about automation
  • Myth 2: Cognitive kills jobs
  • Myth 3: The financial benefits are still remote
  • Myth 4: AI is overhyped and bound to disappoint
  • Myth 5: Cognitive technology is just for ‘moonshots’

We need to start thinking how to  prepare ourselves and our business for the Cognitive Age.” As I explain in “Bring Your Own Cyber Human (BYOCH) – Part 1: Augmented humans” we are in the path to being cyber humans. To live in the Cognitive Age, I encourage companies to invest in how to enhance our senses and to increase our intelligence to compete and win over robots.

Key Takeaways

The Connected Age is a fact. ARM is predicting 1 trillion IoT devices will be built until 2035.  For those who think that the IoT is a revolution, not be worried because we are just simply in an evolutionary process.

With the introduction of AI and machine learning, enterprises will be able to embark on projects never thought possible before. The Robotics Age is going to be a great challenge for humanity. The fear of being inferior to our creation, not being able to control them, to compete with machines for a job, to have to obey them will really mean the beginning of a revolution.

What does AI mean for the future?. What will be the implications and the risks? Will AI really understand humans?. With the current skills humanity will be in inferiority to face the cognitive systems that will populate Cognitive Age.  That is why I encourage governments, private laboratories and researchers to work on  Augmented Humans projects if we do not want to be slaves to our uncontrolled inventions.

Thanks for your Likes and Comments.

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What is a smart city? The answer depends on who you ask. Solutions providers will tell you it’s smart parking, smart lighting or anything to do with technology. City officials may tell you it’s about conducting city business online, such as searching records or applying for permits. City residents may tell you it’s the ease of getting around, or about crime reduction. Everyone is right. A smart city, built properly, will have different value for different stakeholders. They may not think of their city as a “smart”city. They know it only as a place they want to live in, work in, and be a part of. To build this type of city, you have to first build the smart city ecosystem.

 

A smart city is built on technology, but focused on outcomes

A scan of the various smart city definitions found that technology is a common element. For example, TechTarget defines a smart city as “a municipality that uses information and communication technologies to increase operational efficiency, share information with the public and improve both the quality of government services and citizen welfare”. The Institute of Electrical and Electronics Engineers (IEEE) envisions a smart city as one that brings together technology, government and society to enable the following characteristics: a smart economy, smart mobility, a smart environment, smart people, smart living, smart governance.

But what does a smart city really do? Our scan of smart city projects worldwide showed that initiatives fell into one or more smart city “outcomes” (Figure One).

Figure One. Smart city projects are aligned to one of seven outcomes.

 

As a starting point, we define a smart city is one that uses technology extensively to achieve key outcomes for its various stakeholders, including residents, businesses, municipal organizations and visitors.

 

The smart city ecosystem framework

Figure Two shows our framework for a smart city ecosystem. A vibrant and sustainable city is an ecosystem comprised of people, organizations and businesses, policies, laws and processes integrated together to create the desired outcomes shown in Figure One. This city is adaptive, responsive and always relevant to all those who live, work in and visit the city. A smart city integrates technology to accelerate, facilitate, and transform this ecosystem.

Figure Two. The smart city ecosystem framework.

 

Four types of value creators

There are four types of value creators in the smart city ecosystem. They create and consume value around one of the outcomes listed in Figure One.

When people think of a smart city, they automatically think of services provided by municipal and quasi-government agencies, such as smart parking, smart water management, smart lighting, and so on. In fact, there are three other value providers and users that co-exist in the smart city – businesses and organizations, communities, and residents.

Businesses and organizations may create services that use and create information to create outcomes for its stakeholders. Some examples of “smart” businesses include Uber and Lyft for personal mobility, NextDoor for information sharing, and Waze/Google for traffic and commute planning.

Communities are miniature smart cities, but with very localized needs. Some examples of potential smart communities include university campuses, office parks, airports, cargo ports, multi-dwelling unit (MDU) or apartment complexes, housing developments/neighborhoods, business districts and even individual “smart” buildings. They have needs for smart services that may be tailored specifically for their stakeholders.

Residents or individual citizens are also smart services providers in the smart city. A resident living near a dangerous street intersection can point a camera at the intersection and stream that information live to traffic planners and police. Residents place air quality measurement sensors on their properties to monitor pollution and pollen levels during certain times of the year, and make that information available to other community members. Residents can choose to make these smart services temporary or permanent, and free or fee based.

 

The Smart City is built on layers

A smart city is an ecosystem comprised of multiple “capability layers”. While technology is a critical enabler, it is just one of many foundational capabilities that every smart city must have. No one capability is more important than the rest. Each capabilities plays a different role in the smart city. These capabilities must integrate and coordinate with each other to carry out its mission.

 

Value layer. This is the most visible layer for city residents, businesses, visitors, workers, students, tourists and others. This layer is the catalog of smart city services or “use cases”, centered around the outcomes (Figure One), and offered by value creators and consumed by the city stakeholders.

Innovation layer. To stay relevant, value creators in the smart city must continuously innovate and update its services for its stakeholders. Smart cities proactively facilitate this through a variety of innovation programs, including labs, innovation zones, training, ideation workshops, skills development and partnerships with universities and businesses.

Governance, management and operations layer. The smart city creates disruption and results in digital transformation of existing processes and services. Smart city management models must integrate a new ecosystem of value creators and innovators. They must plan, support and monetize new business models, processes and services. They must upgrade their existing infrastructure and management processes to support “smart” services. Finally, they must measure the performance of the city with a new set of metrics.

Policy, processes, and public-private partnerships, and financing layer. The smart city doesn’t just magically appear one day. An entirely new set of engagement models, rules, financing sources, and partners are required to build, operate and maintain the smart city. Cities must develop a new set of “smart” competencies in order to get and stay in the “smart city game”.

Information and data layer. The lifeblood of the smart city is information. The smart city must facilitate this in several ways, including open data initiatives, data marketplaces, analytics services, and monetization policies. Equally important, they must have programs that encourage data sharing and privacy policies to protect what and how data is gathered.

Connectivity, accessibility and security layer. People, things and systems are interconnected in the smart city. The ability to seamlessly connect all three, manage and verify who and what is connected and shared, while protecting the information and users is crucial. The highest priorities for smart cities are to provide a seamless layer of trusted connections.

Smart city technology infrastructure layer. Most people automatically think of technology when talking about smart cities. The smart city technology infrastructure must scale beyond the traditional municipal users and support a new class of value creators, and city/user stakeholders.

 

Leveraging the smart city ecosystem framework

The smart city is a complex ecosystem of people, processes, policies, technology and other enablers working together to deliver a set of outcomes. The smart city is not “owned” exclusively by the city. Other value creators are also involved, sometimes working in collaboration and sometimes by themselves. Successful and sustainable smart cities take a programmatic approach to engage its stakeholders across the ecosystem.

Our research has found that many cities are not taking an ecosystem approach to smart city projects. This is due in part to smart city projects being managed by the Information Technology (IT) organization where their charter is on systems development and deployment. In contrast, more experienced smart cities manage their smart city programs through internal cross functional “Transformation” or “Innovation” organizations.

Regardless of where cities are in their smart city journey, they must get ahead of the “curve” with smart city projects. They begin by thinking in terms of building the broader ecosystem in order to create a sustainable and scalable smart city. Key next steps include:

  1. Understand the smart city ecosystem framework and tailor it to the realities of their specific city. Incorporate this model into the development of their smart city vision, strategy and execution plans.
  2. Relative to the smart city ecosystem framework, identify current capabilities and gaps across the various layers. Understand what is needed to support the four types of value creators.
  3. Evaluate existing and new smart city projects and initiatives against the ecosystem framework. Use this framework to identify what is missing from the project plans and what is needed to make the projects fully successful.
  4. Prioritize and develop competencies across the various ecosystem layers. A smart city requires new skills and competencies. Augment existing capabilities through strategic partnerships and contracting with service providers, as required.

 

About:

Benson Chan is an innovation catalyst at Strategy of Things, helping companies transform the Internet of Things into the Innovation of Things through its innovation laboratory, research analyst, consulting and acceleration (execution) services. He has over 25 years of scaling innovative businesses and bringing innovations to market for Fortune 500 and start-up companies. Benson shares his deep experiences in strategy, business development, marketing, product management, engineering and operations management to help IoTCentral readers address strategic and practical IoT issues.

This post was co-authored with Renil Paramel, an IoT Innovation Catalyst, Strategist and Senior Partner at Strategy of Things.

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The rise of IoT is good because it has enabled humans to gather, process and understand vast sums of data. This understanding helps us observe the nature of Human existence in real time, both collectively and individually.

Supply chain management is an integral business process. It affects people in every industry from farmers in Food Supply Chain to manufacturers in Industrial Supply Chain. We are going to observe the up and coming technologies and how they are revolutionizing this fundamental business process.

How is IoT being used in today’s World?

The Understanding of Mass Human behavior at an individual level has enabled services and technologies to exist that cater to personalized needs.It is introducing a new genre of innovation in Mobile App Development.

Companies use this data to develop applications that can efficiently increase revenue by cutting liability costs because of Big Data Analytics and IoT prompting all investments.

Take for example the efficiency with which you can use GPS trackers and environment sensors to keep track of your inventory and the storing conditions of your goods. Asset Tracking has created transparency in the supply chain, providing manufacturers with scope for business customization.

The kind of granular data that can and is being generated using RFID tags and global SIMs can create efficient staffing practices. Also, addressing the availability of complementary resources at the right place and right time.

There is Beacon technology, which is Low Energy Bluetooth devices (BLE), capable of transmitting information over short distances. Bluetooth SIG (Bluetooth Special Interest Group) is pushing this wireless personal area network as a factory floor network.

BLE is being used to create an Internet of Things solution, for instance, take IoT Development companies that created apps that help in Airport Baggage Management all by using these BLE devices or Beacons.

Another great example can be that of Amazon Go. It uses computer vision, machine learning and AI to create a shopping experience where you can just walk in, pick up what you want and walk out.

You check into the store with your mobile Phone and through a technology they have developed called “Just Walk Out” you can shop and just leave. It is one of the best examples of an Internet of Things Company, using a variety of sensors and computer vision tracking working together over a secured shared network.  

How is IoT affecting the Supply Chain Processes (SCP)?

Gartner the leading research and advisory organization, recently released a study, showing a thirty-fold increase in Internet-connected physical devices by 2020. 

International Data Corporation (IDC) reports: Largest IoT segments in 2017: manufacturing operations: $105B

Just imagine the kind of data that will be generated when we could observe the real-time shopping habits of individuals, their waiting time in each aisle, their preference. And the rate at which products and services are sought will see an unprecedented rise.

We will be able to automate a system that will conduct targeted marketing and efficient manufacturing. Research shows three-quarters of all retail and manufacturing ventures beginning to transform their supply chain processes.

IoT is enabling a more bidirectional flow of communication. Now engineers can run efficient diagnostics using the most recent captured data enabling them to conduct remote repair, increasing machine uptime and better customer service.

Unlike previously available passive sensors, this generation of sensors can keep track of the state of products in shipment, such as external surrounding and execute actions. Also, it can monitor utilization of Machine and update cloud platforms that can, in turn, optimize performance and workflow.

IoT is playing an integral role in increasing the scope of digitizing the Supply Chain in the Agro-Industry. Modern farmers are now incorporating Cloud Platforms to keep track of their farm produce and fine-tuning storage conditions.

A much more inter communicative channel is being formed between the different talking heads of the Supply Chain. And the funny thing is IoT devices are guiding how the products reach the market and talking has nothing to do with it.

Industries are trying to create the process more transparent for the consumers, certifying quality checks and an invasive feedback process.

Fleet Management for industries that comprise of companies like FedEx and DHL. Driver headcount, maintenance, and fuel consumption can all be brought down using IoT cloud Platforms. These platforms take in enormous amounts of data about diverse variables like traffic models, weather reports etc. and chart out efficient routes and delivery itineraries.

Having a connecting channel among all the components of the supply chain enables vendors to form better relations amongst themselves and with the customers. This is done by linking the shipping companies to the on-ground delivery services to the shopkeeper, all in real time.

We generate a truly end to end offering by providing vendors with domain expertise in IP connectivity, cloud service, security, hardware, and positioning.

With the help of IoT, we can accurately forecast inventories; keep track of the expiry dates of products and restocking schedules. It can also be used for cutting on Downtime with smart sensors, which are assessing maintenance requirements around the clock, propagating positive revenue generation.

Fitting the factory floors and machinery with sensors helps the system to tail workflow efficiency and logistics short-comings and respective requirements.

The Industrial Internet of Things revolution is pushing entire businesses towards an approach of local connectivity. Many businesses are adopting tools like AT&T’s Low-Power Wide-Area Technology, which has smaller modules with extended battery life and capable connectivity even in underground environments.

This has also created a demand for developers who excel in creating IoT Applications. And lately, it seems IoT technology and software framework has become essential to the 21st-century consumer market at par with Big Data Analytics and Management.

IoT compatibility is the need of the hour for businesses that want to stay ahead of the curve.One should investigate functional ways to integrate IoT technology and Applications into their Business Back-End and generate new streams of revenue.

Also, existing Businesses need to acknowledge the potential of IoT to redesign existing SCP. Building strong bridges to support the convergence of physical and digital supply chain.

In today’s market, SCP isn’t just for tracking your product. It’s an opportunity to gain an edge over your competitors and even establish your own brand.

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The Internet of Things is network connectivity between physical devices such as appliances, vehicles, etc. which contain inbuilt sensors, software, and microchips that facilitate data transfer between each other. Each device has its own unique computing processor which allows them to interoperate with other similar infrastructure via the internet. Things are always changing, we must accept the ebb and flow of things. The real question you should ask yourself is where you should concentrate your efforts in the next few years to avoid alienation. Our concerns over the past few years have changed drastically, in terms of the things we build and design and how the users interact with these devices.

The Shape of Future: The applications of the Internet of Things are extensive. The number of devices with the capability to link up with each other via the internet went up by 31% in 2017. Experts predict by 2020 the Internet of Things will have a total value of $1.7 trillion in the global market and a total of 30 billion new devices will be designed with network connectivity features.

Human intervention will reduce in the years to comes, some careers might become obsolete in a few years for example taxi and delivery packages, translators and interpreters, pilots and air traffic controllers and many more. IoT allows devices inclusive of all the computing enabled infrastructure can be remotely controlled therefore integrating the physical world with the computer system resulting in more economic benefits, efficiency, and accuracy.

How to Secure Future: To secure your Internet of Things career there are several things you could do. First, start by learning a few programming languages, most recommended JavaScript. This will not only secure your career but also gives it longevity. The language is not only used on browsers but increasingly, with Node.js, it’s a language for the servers, which is more often than not found directly embedded within devices.

Ensure you are always updated in terms of internet security. Constantly refine your security skills on how to maximize security on an ever-increasing number of connected devices. Try and run tests to ensure the security measures put in place can hold up when required.

The ability to come up with small accurate sensors e.g. sensors that can detect a change in temperature, speed, and other physical elements will be an invaluable skill in the future as far as the internet of things is concerned. Some sound knowledge of simple things such as Wi-Fi, Bluetooth, and transfer of data to the cloud will go a long way in safeguarding your career.

Don’t be daunted: Don’t stop what you are doing because humans will always need to interact with devices and machines to make them work. Rather than looking at Internet of Things as means of reducing jobs, look at it as a channel that could create even more job opportunities. Don’t be daunted, after all, you have come this far and along the way you have developed some useful skills. With a little effort, your Internet of Things career will thrive.

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What are going to be new things in IoT 2018?

The Internet of Things (IoT) wasted no time spreading across the world and connecting a huge number of individuals. Apart from, we have seen almost every major industry put lots of resources into IoT, and foremost industries are rapidly moving to implement IoT solutions that drive the primary concern. Despite the huge gains in connectivity, the truth is, 2018 will be more of a steady growth period for the IoT. Using IoT, successful organizations will create a self-learning environment. 

These five innovations will be the top IoT trends in 2018 and could be an essence of the world yet to come.

IoT future shaped by wearables

While 1 out of every 3 smartphone users trusts they will have at least 5 wearables by 2020. So, high demand towards wearable devices such as smartwatch, health & fitness band etc. In this manner, a setback in wearable adoption may delay the overall adoption of the IoT among consumers.

Roll out voice-based services to consumers

Google Assistant, Google Virtual Assistant that lives on devices like smart speakers and gaining enormous fame. An ever-increasing number of devices will open marketers’ eyes to better approaches for interacting with customers. Industries like financial and some other businesses that request authentication for much else, besides a simple task, will slack. The complexity, broadness and quality of voice-based services will grow in 2018 with accessible services.

Security: Blockchain

Security is still the weak link in the internet of things, so security remains a prime challenge for IoT. Blockchain will play a vital role in improving security for financial transactions in 2018. Watson IoT Blockchain enables devices to participate in Blockchain transactions as a trusted party. IoT and Blockchain empower more transactions overall because they eliminate centralization.

Big Data, Machine learning and AI

The amount of processed data will grow, and due to more number of smart devices, we will use IoT much more than we do now. So, we should work with Big Data in order to consider assets that would empower us to process and analyse problems accurately. Here, Machine Learning is the most demonstrated AI innovation that can process data based on predictive analytics, without the need of manual programming and activate real-time tasks in the IoT channel.

Connected devices will double

In 2018, Internet of Things will have considerably more interconnected devices, like a digital nervous system with interfacing devices together and be exchanging data. It is not only laptops and mobile phones also there will be more smart devices that we use daily, like smart doors, smart jar, smart locks, smart fork and more. The number of connected devices grew exponentially from 4.9 million in 2015 to 6.1 billion in 2016. It is expected to 46 billion by 2021. 

 

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From smart devices and home automation systems to smart cars and smart buildings, the Internet of Things brings important innovations in our life. In the next years, IoT solutions will continue to take the center stage in the tech environment.

With huge investment in this technology, the global IoT spending is expected to reach $1.29 trillion by 2020 and $1.4 trillion by 2021 (IDC report).

For now, manufacturing industry is still the main investor in the Internet of Things. According to recent surveys, 66% of manufacturers say that the use of IoT solutions is essential for staying competitive and resolving various issues.


 

Smart factories

 

Capgemini research reported that smart factories are going to add $500 billion to $1.5 trillion in value added to the global economy in 5 years. By now, 56% of manufacturing companies have already invested $100M in smart factory initiatives.

Today the creation of smart factories with the Internet of Things is gaining momentum and so far, only 6% of manufacturers can be designated to “Digital Masters”, an advanced stage in digitizing various production operations with a strong foundation of smart management, process automation, and employee skills.

Analysts expect smart factories to revolutionize the industry by providing a 7X increase in overall productivity by 2022. Among the most interesting findings, Capgemini reports smart factories will be able to speed up on-time delivery of finished products by 13 times, with the enhancement of quality indicators at more than 12 times the rate of improvement since 1990.

Also, Capital Expense & inventory costs will be rationalized 12 times and material, logistics and transportation costs are predicted to be optimized at 11 times the rate of improvement since 1990.

On the graphic below you can see a comparison of manufacturer’s annual gains since 1990 versus expected annual gains referred to smart factory technologies in the next 5 years.

 

Besides the Internet of Things, contributing technologies to smart factories also involve Big Data Analytics, machine learning, advanced robotics, and 3D printing, while cloud computing platforms unify all of these technologies together, leading to more rapid smart factory adaptation and bringing revolution in the industry.

 

IoT use cases in manufacturing

 

With smart connections of multiple devices, equipment, and production processes, manufacturers get such benefits as minimized human intervention, remote machinery maintenance, employee safety, production automation, and reduced operational costs.

 

The main IoT applications include:

 

  • Production flow monitoring - leads to flow optimization, minimize waste, and reduced labor and operational costs.
  • Remote equipment monitoring & management - Results in saved energy and reduced costs. Predictive analytics allows repairs and replacements to be automatically ordered even before something breaks.
  • Condition-based maintenance notifications - enables to successfully maintain machinery health and increase throughput.
  • Supply chain management

    with the help of vehicle and asset tracking, you improve the efficiency of manufacturing and supply chain operations.

     

     

 

There is a plenty of other successful IoT use cases in manufacturing: equipment predictive maintenance, vehicle and asset tracking, temperature/energy conservation/air quality control, facility management, smart ventilation, production flow monitoring, and smart radiation monitoring and measurement.

By integrating a smart factory initiative, you can connect all production stages, accelerate production, enhance various management processes, ensure working safety, reduce operational costs, and improve the entire company performance.

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The White Knight of IoT Platforms

In spite the Internet of Things term was coined by Kevin Ashton executive director of the Auto-ID Center as the title of a presentation he made at Procter & Gamble (P&G) in 1999, it was only when companies like Pachube (an early leader in the burgeoning “Internet of things” field) launched a web service  that enabled to store, share & discover real time sensor, energy and environment data from objects & devices around the world, when most of us believed that the time to IoT was finally had arrived.

 

Since its founding in 2008, Pachube pretended to be the leading open development platform for the Internet of Things.  In 2011 when the company was acquired by Woburn, Massachusetts-based LogMeIn in a deal that was worth "approximately $15 million in cash that re-branded the service as Cosm, but it was still a “beta” test version, to finally launch Xively that become a division of LogMeIn.  LogMeIn did not want or did not know how to incorporate the potential of Xively into its business. And in 2017 again Xively lost its charm.

Google the White Knight of Xively

On February 15, we wake up with the new that Google will acquire IoT platform Xively from LogMeIn for $50 million, according to Bloomberg, to expand in market for connected devices. Google has been the White Knight of Xively.

 

Another White Knights

In December 30, 2013 - PTC announced it had acquired ThingWorx, a PTC Technology for approximately $112 million, plus a possible earn-out of up to $18 million. The acquisition of ThingWorx positioned PTC as a major player in the emerging Internet of Things era. Later, in July 2014 PTC acquired Axeda Corporation for approximately $170 million in cash which Gartner estimated is an acquisition multiple of just over 6 times revenue.

In February 2016, Cisco Acquired Jasper Technologies for $1.4 Billion in cash. How wonderful White Knight.

A software goliath company like SAP acquires a small IoT startup like PLAT.ONE  now part of SAP?

In 2016, Microsoft did not disclose the sum for Italian start-up Solair acquisition. Th startup  expanded Azure capabilities.

In March 2015, Amazon was taking another step into the Internet of Things acquiring 2lemetry, a startup with a system for sending, receiving, and analyzing data from Internet-connected devices.  2lemetry had raised at least $9 million. Investors included Salesforce Ventures.   

 

We all know that the IoT Platform market need a quick consolidation

The M2M/IOT Platform market has changed in the last 10 years. The fragmentation is unsustainable and I can say that I do not see a clear IoT platform market leader yet that works as a plug-and-play fix for all kind of connected-device creators. Besides, the rush of investors for IoT platform companies trigger rumors of new acquisitions increasing significantly their actual valuation and encourages thousands of entrepreneurs and startups to create new IoT platform copies of each other. Although there is still room for new innovative IoT platform startups, the decision to trust in a company able to simplify the complexities of the IoT, with a scalable and robust infrastructure and drive real results for your business, will reduce the choice among a short list. The bad news is that the hundreds of IoT platforms startups must compete now with the platforms offered by Tech and Industrial Giant vendors.

 

Given the confusion that exists about the IoT platforms, companies need to approach experts’ advisors that will recommend which platform(s) is most suitable for your current and future business and technical requirements.

 

There will not be White Knights for everyone

In “Be careful of the Walking Dead of IoT, I alerted that in spite that no one has the crystal ball, it is almost sure that many IoT platforms are not going to continue within 10 years, not even within 1, 2 or 3 years in this inflated market. As show in the picture below, some Tech Giants have been looking and found some of the best pieces. What will happen to the 700+ platforms out there? There will not be White Knights for everyone. At least for Xively it has been a happy end.

Thanks in advance for your Likes and Shares

Thoughts ? Comments ?   

 

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Within the few months of its release, Internet of Things (IoT) has taken everyone by storm in numerous ways. As a result, more and more organizations, industries, and technologists catch the IoT bug. Right from Data streaming to data collection, events, decisions, processes, messaging, and integration, everything is involved in the form of developer’s activities. Now, do you think that IoT is just another opportunity for vendors to sell or update developer tools? Well, according to several resources nearly 40 billion which is approximately 30 devices for each and every active social network user in the world. In addition to this, trillions of sensors will comprise the IoT.

What is Internet of Things?

It is the network of physical objects, whether in terms of devices, vehicles, buildings or even humans, which are embedded with electronics, sensors, and software and network connectivity. And of course, these devices help us to send, transfer and collect important data anywhere and at any point in time. I strongly feel that the technology, in particular, has turned out to be a growing sensation that’s captured everyone in the technology world. And it is assumed that companies, as well as individuals, are investing $6 trillion in IoT devices within the next five years.   

Bringing IoT to Developing Countries

Now you must be thinking that getting IoT technology to developing countries might be a major problem but in the actual scenario, there’s already a standard infrastructure in many countries. I am sure that you must be well aware regarding the fact that 95% of the world has basic 2G phone coverage, and while 29% of those in rural areas have 3G coverage, 89 percent who reside in urban areas are able to access 3G coverage with ease.

In addition to this, IoT is affordable with some saying that the IoT at its basic capability is already in place in developing countries, where citizens and government officials would bear little cost in tweaking it. Last but certainly not the least, IoT devices have a “plug-and-play” attribute to them, that doesn’t require proper setup from skilled laborer. This allows scalability within the devices. After all, technology grows only at the speed the city or the country wants to it.

What kind of Industries is gaining benefit from IoT?

With the increase in technology, more and more software development firms are establishing across the globe providing full-fledged IoT services among numerous industry verticals such as:

Healthcare

It seems like almost every year, there is an extreme health crisis in a developing nation. But what if that could be prevented? Wearable tech devices called “Sensor, technology, and analytics to monitor, predict and protect Ebola patients” are scaled and shipped to international aid offices worldwide. Such kind of devices collect all data regarding the patient, i.e. from body temperature to oxygen saturation. And once the data is complete, doctors can ship it to a central location, where people can track patient’s health over time.

In short, tracking a group of people or a city as a whole can help with disease containment as well as migrant population tracking. Over time these sensors can help predict where an outbreak is going to spread, allowing enough aid workers to get to the infected area before it's too late. 

Water delivery

Do you know that billions of people in developing countries are going through their day-to-day lives drinking unsafe water? IoT cannot just help in monitoring both water quality, and water delivery but also alert municipalities when a water pump breaks, allowing for a quicker replacement time to ensure that an area's citizens are still getting enough, and quality water.

Agriculture

I am sure you must be well aware regarding the fact that there are many countries in the developing world that are still agriculturally based, where plenty of people still prefer working out in the fields. Here’s a good news for these people, around 75 million IoT devices will be agriculture-related by 2020.

Which means with the help of such devices, farmers can easily place them in soil to track acidity levels, as well as temperature, and crop growth so they can create a successful harvest.

City living

Cities like India, Pakistan, Bangladesh, Sub-Saharan Africa and other parts of the world are some of the densest cities in terms of population. IoT devices can help with the traffic flow, by regulating lights based on the number of vehicles on the road, sensors placed in homes can help warn residents of impending disasters like fast-moving fires, mudslides, or other disasters, helping to save lives, as well as personal property.

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One of my LinkedIn contacts suggested me last year not to write more articles about MWC event. However, a couple of weeks ago talking with another contact that not attend this year told me he was expecting my article. So here it is, my fourth MWC article in a row since 2015. Am I a MWC addictYou can read previous articles here:

Unfortunately, the Powerful GSMA rejected my ticket request as Analyst / Press (LinkedIn please help me next year) and of course I did not pay the prohibitive prices of Silver Pass, Gold Pass and Platinum Pass. At the end, conference sessions content is very generic and I can read free the content. I cannot justify the ROI for pay these tickets. Can you?

Avoiding the politics issues between Catalonia and Spain, it was the first MWC where the snow was probably the biggest surprise of the show. The snow and the rain did not allowed visitors to spend some time outside.

A painI do not know the final numbers, but I notice this year less attendants than 2017. No doubt GSMA will try to find excuses eg, political issues, but the reality is that the cost of the show do not convince to many usual large / medium / small companies. It is a fact that some big companies did not attend or send less delegates and use less square meters

Again, visitors that attend 1 or 2 days do not have had time to move to other parallel events like 4YFN.  Running from meeting to meeting, bad lunch as usual. I'm sure I've lost weight these days

The MWC18 has been an evolution of what we saw last 2 years. Not revolution. We need to wait another 5 years to see some notorious technological advances although GSMA should continue helping to create a better future

Before #MWC18

I was angry with the Search exhibitor page of the web . Please GSMA you have 1 year to improve. None exhibitor has included any product in the category of Blockchain or Internet of Things. Duplicates filters, etc. I read some LinkedIn post and articles and talked with people to plan my visit and capture their feeling this year.

During the #MWC18

The euphoria of 5G has dropped – More info about 5G at MWC18 here “ Intel, Qualcomm Talk About Accelerating 5G Efforts at MWC 2018 

IoT - The word that describes my feeling is disappointment. Although expected, something sad because the word IoT begins to lose brightness and disappear from the stands. The Pavillion 8.0 dedicated to the IoT, was not star this year. Do you really deserve to be exhibitors at the MWC

At least it was good to pulse the evolution and transformation of the IoT / M2M market. A new impulse will be necessary before 2020

Unfortunately, I could not attend any of the Top 7 IoT Activities at Mobile World Congress. Please tell me if any of it was worth it.

It was funny to hear how Operators trying to explain the use cases of Blockchain in Telco sector.

Artificial Intelligence, Connected Vehicles and Robots the starts of MWC18.  It was interesting discuss with some Operators about the practical potential of Machine learning, Artificial Intelligence (AI), Robots in this sector.  The conclusion in this article “ You Can't Teach an AI to Run a Telecom Network—Yet.

MWC18 was in my opinion the year of the Connected Intelligent Vehicle. Operators, Technology Vendors and Car Manufacturers need to cooperate to avoid a technology nightmare for future drivers/passengers.   

After #MWC18

I cannot resist to compare this congress with the Groundhog Day festivities. I make no secret of my discomfort for the continuous decisions of GSMA to make this show useless for many. My unpleasantness for the prohibitive cost of the tickets, hotels in the town, and the arrogant executives who attend the event as movie stars and finally for the many parallel events that I have missed or meetings of 15 minutes because I had spent hours daily walking by the walk sides of Fira Halls and my frustration for not finding some companies in the labyrinth of  the pavilions

Like Bill Murray in the movie, I discover year after year that MWC's events repeating almost exactly. I feel I am trapped in a time loop that probably most of you are aware of

I am glad if you have spent these days indulging in night parties, looking for new jobs or cheering you for the work you have in your great company.  Luckily for me, I do not return depressed, but my mind do not escape for some days to the MWC loop. Am I a MWC addict?

See you next year at MWC19 Barcelona

 

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