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We are fast moving towards a future where cities will feature hundreds and thousands of smart connected objects, talking to each other, exchanging and producing meaningful data and insights, basically reshaping the urban landscape into intelligent and autonomous systems. Internet of Things will be at the heart of this technological transformation, as sensors and digital tags will find their way into various physical city infrastructure, monitoring traffic, weather, crime and even rat infestations! However, it’s not just hardware IoT and sensors that will provide city planners and authorities to gain more visibility into the working and management of a city. Smart connected products or ordinary consumer products tagged with digital ID’s and digital twins can open up new dimensions in how we imagine Smart Cities to function.

For the sake of painting a picture of the role of connected products within Smart Cities, let’s consider a pharmaceutical company supplying critical drugs to a city. Enabling every drug product at batch and serial item level to have a digital twin of its physical self will allow for exchange of product related data to happen between manufacturer, the supply chain, the city authorities, end consumers and the products themselves. Read on to see how the pharmaceutical industry could look like in the not so distant future.

Smart Logistics & Traceability: Digitally tagged consumer products such as medical products will paint a clearer picture of each item’s journey from the manufacturing facility to the hands of a customer, resulting in intelligent movement of products characterized by autonomy. Each time a product moves, whether it’s from the factory to a truck, or from the truck to a warehouse, its location and movement will be logged against its digital twin in real time with the help of a scanner, RFID reader, smartphone or other connected devices.

So, when situations arise where brands or smart city authorities become aware of substandard or defective products in circulation, the process of factoring on the production source for them and a faster and leaner product recall will become easier by tracing back to the relevant point in the product’s journey.

Smarter Production & Distribution Channels: Smart connected products will help in procuring the right amount in the right place at the right time. Complete visibility at all events of the supply chain will allow brands to better predict demand in respective locations in a city. Better predictive ability will help them to create seamless intelligent systems capable of efficiently managing production and distribution channels, ultimately leading to reduction of wastage by preventing accumulation of unused medicines.

In fact, brands will be able to predict demand on a much larger scale than before. They will anticipate when a particular medicine is supposed to run out at the city-level and trigger production cycles for the particular product.

Smarter response to Public Health Crises: With IoT powered smart products, the engagement and the monitoring does not stop at the customer level. Even after the product leaves the shelf, customers can input valuable data through the digital twins which can be mined into to tailor smarter responses to public health emergency situations.

For example, city authorities will be aware of exactly how many medical products are in inventories across the city by keeping track of their movement across every touchpoint in the supply chain. In situations where a contagious disease breaks out, public health officials will be instantly alerted by hospitals that are also hooked onto the network. By keeping track of the quantity and location of stocks of medicines dispersed across city, public health officials will always be prepared to tackle such high priority situations as they can more efficiently assess and redirect required medicines to appropriate locations.

Even smarter, cities of the future could be prepared for seasonal illnesses by predicting their onset based on algorithms derived from a mix of data from weather forecasts, hospital reports and product supply chains.

Smarter Citizens: Digital twins will give rise to smarter citizens, who will be capable of using smartphones to digitally interact with the packaging in order to obtain accurate information pertaining to authenticity, ingredients, color-coded expiry dates, instructions for use (IFU) etc. Not only will digital twins of medical products enforce transparency, but they will help in improving health literacy by weeding out counterfeits and providing easy-to-read and user-friendly formats to dispense IFUs.

Medical products empowered by IoT will also lay the foundations for a multiway communication channel between consumers, manufacturers, and city authorities, especially aiding researchers to collect and analyze feedbacks for clinical trials and development of new cures.

Smarter ways to tackle Counterfeits: Falsified medical products take the top spot in the fraudulent products market, being worth US$163 billion to $217 billion per year. Falsified, substandard and unlicensed medicines and medical devices pose a serious threat to public health. Counterfeit medicines are on the rise and no place remains untouched by them.

However, medical products with digital twins can have vast implications in fighting the war against falsified medical products. The sophisticated digital tags on these products can act as a unique identifier, at the same time providing a user-friendly way to verify their authenticity. Both retailers and consumers just need to authenticate the product using the digital tag which will allow it to confirm the product’s genuineness by running it against an online database.

Going one step further by taking advantage of a highly connected ecosystem, fraudulent products can instantly be reported by consumers directly to manufacturers and city authorities. City authorities can thus keep track of regions in the city reporting counterfeits and crack down on the sources for such illegal operations.

The goal of smart cities is to create intelligent urban spaces and infrastructures to improve the lives of their citizens. But the first step towards this goal is to set up digital twins for products to bring them onto the Internet of Things platform. For these automated and intelligent systems would be impossible without various products generating and transmitting data about themselves. At this point, we have barely scratched the surface with IoT’s potential to create smarter cities, and smart connected products will lead the way in laying the foundation for the cities of the future.

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Internet of Things is the talk of the town over in construction, manufacturing, healthcare, transportation and home automation. But we are yet to fully tap into the potential of IoT driven solutions to trigger disruption in and deliver value to the consumer retail industry.

Enabling smart attributes and inter-connectivity to store assets can have a plethora of exciting applications: engaging customer experiences, leaner and more efficient store operations, products and services as well as opening up of new streams for revenue generation. According to Zebra Technologies, 7 out of 10 retail brands will be investing in IoT technology by 2021 and a few have already begun rolling out IoT powered smart stores and services. With more and more retailers looking to reimagine every aspect of their supply chain with technology, let us look at some future possibilities for IoT in the retail industry :

1. Creating Experiences with Lighting

Lighting devices are an ubiquitous presence inside any retail store and connected smart lighting can do more than save energy. Emerging technology is exploring avenues to utilize connected and automated smart lighting for retail displays to create superior customer experiences and indoor positioning, expanding the horizon for an experiential store.

Retail giant Carrefour partnered with Philips to install LEDs in one of their hypermarkets in Lille, France. Enabled with Visible Light Communication (VLC) technology, these LEDs emit a code which is readable by any camera on a smartphone, connecting the smartphone to a digital experience provided by the store. Customers can then locate items on their shopping list using the indoor positioning activated by the LEDs, experiencing an in-store navigation system.

2. Smart Packaging and Digital Labeling

Under the constant pressures of demands for more consumer transparency and capricious regulations, brands and retailers are running out of space on the physical packaging of products to put relevant information. IoT will play a major role in the future of the labeling and packaging industry as brands turn to technology to solve challenges related to packaging.

QLIKTAG Software is providing solutions using their IoT platform to enable all products to have a globally unique identifier “QLIKTAG” and hence a digital twin, allowing “dumb” products to have a presence in and participate in the Internet through smart devices. These digital tags, consisting of barcodes, QR codes and Data matrix codes, pave the way for a vast variety of digital interactions like better stock and inventory management throughout the supply chain, product traceability all through its lifecycle, consumer transparency in multiple languages, product authentication, consumer feedback, insight and analytics as well as better consumer engagement experiences. Brands also save on costs incurred in reprinting and repackaging as these digital tags allow real time edits and updates of label content remotely.

3. Smarter Inventory Management Solutions

The future of retail will see increased integration of technology into brick and mortar stores and a more connected ecosystem giving rise to sophisticated experiences for both customers and retailers. IoT will enable the development of smarter inventory management solutions that will be capable of detecting and solving out-of-stock situations on its own.

WiseShelf is converting shelves in retail stores into smart shelves to address the issue of shelf out-of-stock incidents. Equipped with light sensors, the shelves can detect when an item is removed from the shelf and send alerts to the management application through WiFi when it assesses low levels of stock. Apart from leading to more efficient restocking operations and inventory management, these smart shelves are also freeing up employees to engage in more customer interactions. They are also providing key data and analytics on popularity of products, enabling better design of store layout in accordance to foot traffic.

4. Automated Events Of Supply Chain

Plenty of countries are plagued by an ageing population and rising labor costs and retailers as a result are turning to digital solutions to reinvent supply chains. Panasonic in partnership with Trial Company Inc. conducted a demonstration experiment for an automated self-checkout system with RFID tagged shopping baskets and products. The smart shopping baskets are capable of calculating the total cost and the number of items in the basket due to the RFID tags, generating your bill when you place it on the checkout counter. Not only does it allow automated billing, but on being placed on the self checkout counters, the bottom of the basket can open up releasing all contents into a bag, which the customer can collect and leave.

5. Facilitating Omni-channel Retailing

In order to consolidate online shopping practices with in-store ones, retailers are looking to ingrain technology into physical stores for a seamless customer experience. Ralph Lauren launched interactive fitting rooms in its flagship store in Manhattan, furnished with RFID tagged interactive mirrors. Powered by retail technology platform Oak Labs, the mirrors automatically detect and display the clothing items brought into the room along with available sizes, colors and recommendations for a complete look. Enriching the entire digital experience, customers also have the option to call an associate on the floor to the fitting room, to bring more items to try out for example.

6. Reducing Food Wastage and Spoilage

IoT could have vast implications in reducing global food wastage and spoilage, especially at the retail level. Wasteless, a startup from Israel, has successfully implemented IoT enabled digital pricing labels in an international Spanish retail store in an effort to reduce food waste. Using data regarding expiry dates encoded into the barcodes or RFID tags on labels, Wasteless’s platform enables a dynamic pricing system with the cost of the product dependent on its freshness, becoming cheaper as it nears its expiry date. The platform has led to reduction of waste by 33%, better inventory management and monitoring of products in terms of their expiry dates to reduce out-of-stock incidents as well as improved sales by allowing customers a more dynamic pricing range to shop from.

7. Food Traceability and Quality Control

The entire food supply chain will see a transformation as IoT enabled sensors and smart devices will become more common to track and optimize each supply chain event. With more demands for fresher food products and sustainable sourcing, these sensors will be able to collect and transmit relevant information like location, temperature etc to all supply chain stakeholders in real time. Consumers buying at retail stores can scan digital tags like QR codes, Data matrix codes or RFID tags on packaging to get assurance about the quality and provenance of the food product.

Zest Labs is working to improve real time visibility for farm to shelf at all levels of the supply chain. Their unique ZIPR code (Zest Intelligent Pallet Routing) enables real time tracking and monitoring of the actual freshness of each pallet of food product, using a combination of wireless IoT sensors and cloud based predictive analytics and machine learning. The result is in supply chain managers being able to make better decisions about sending a particular pallet across a certain distance based on its freshness, thus preventing food spoilage in-transit.

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What's IoT Trends 2019

The fourth edition of the Internet of Things Solutions World Congress (IoTSWC), which took place in Barcelona earlier this month, signaled an increasing interest in the technology, with the number of attendees jumping by 25 percent year over year, to 16,250. The range of topics discussed shows that IoT is being embraced by companies in every sector, and that the technology has now passed from the development phase to the implementation of practical solutions whose results are increasingly evident.

The 200 speeches and panels were divided into thematic areas (manufacturing, healthcare, connected transport, energy and utilities, buildings and infrastructures and open industry). Along with two related events, AI & Cognitive Systems Forum and Blockchain Solutions World, these included -- at the insistence of Richard Soley, Executive Director of the Industrial IoT Consortium -- presentations of concrete use cases. The Industrial IoT Consortium was co-organizer of the event together with Fira Barcelona.

Bringing order to the Babel of protocols

Although natural selection -- perhaps facilitated by the future evolution of 5G networks -- is likely to reduce the number, too many standards and communication protocols for the Internet of Things will continue for a long time. The "translation" of the signals and their integration into information flows will therefore continue to represent an opportunity for system integrators and companies operating in this sector. Although frameworks and platforms are emerging to manage and standardize the different peripheral systems (the Foundation's open source EdgeX Foundry proposal deserves attention), they do not exist yet and there will be no "plug and play" solutions for  IoT for a while.

Artificial intelligence to give value to data

Artificial intelligence is the fundamental ingredient needed to make sense of the vast amount of data collected these days, and increase its value for business. The easiest way to implement it is to resort to the API services of cloud operators such as  Amazon, Google, Microsoft and IBM. The risk of using standard solutions accessible to all is that they reduce the competitive advantage of the enterprises that use them, since they can be easily implemented by competitors. Creating a proprietary IA platform, however, will not be possible for  everyone.

Edge computing to overcome the limits of the cloud

The cloud, meanwhile, is showing its limits: Fast and constant connectivity is not always possible, especially in the case of connected vehicles or installations in remote areas; latency between sending data, processing and response is not always compatible with certain applications; and storage costs are are high even for data that is not necessarily indispensable.

There is therefore a growing tendency to relocate part of the storage and processing of data to the periphery of the network, close to sensors and connected objects. This so-called "edge computing" will be increasingly important and increasingly intelligent, thanks to chips optimized for machine learning and solutions able to bring "on premises" the AI algorithms of the "usual suspects", such as Amazon Greengrass, Google Cloud IoT Edge (still in alpha version) or Microsoft Azure IoT Edge.

Digital twins pass from objects to production flows

The creation of a digital twin, which thanks to data collected by sensors can provide a realistic virtual representation of products and systems, will be increasingly applied to entire production processes, allowing not only the monitoring of entire plants, but also predicting what will happen when a new model is out into production, or some variables change. This, according to proponents of the technology, will lead to greater efficiency, faster time-to-market and fewer glitches and non-compliance issues.

 

 

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Top challenges towards IoT Adoption

The discussion around IoT has been around since last 5 years. Take those 2020 projections to the table, and see how many have quoted them as the moment of truth for IoT. But those projections and data remained as it is in 2018 with mass adoption yet to become a reality.

As an IoT practitioner what amazes me is why only a handful enterprises and products have made it so far.

The undeniable truth about IoT is that it definitely brings huge competitive advantage to the table for consumer products and enterprises. While scaling IoT and building LPWAN networks that had more than 100,000 nodes we say more than just connectivity, we saw revolution, we saw how fast we could reduce “revenue leakage”, we saw how fast we could bring “disruption” to the table and we definitely saw business models that were never seen before.

The moment of Truth for me in IoT was when I built an LPWAN network that was more efficient than a six sigma process - That’s how powerful IoT really is!

But, let’s get to the point, what I really said before are the results. There are so many steps to actually reach there. When I take lessons from the software world, there’s something called “First mover’s advantage”, well that changes when it comes to IoT.

First movers fail, that too miserably. First movers for the most part are someone that fail and create a path for others.

So, what is it that makes adopting IoT so difficult?

Unfamiliar territory for business buyers

How many enterprises do you see that still run on managed data centers and legacy apps? Why do you think they aren’t adopting amazing next generation cloud technologies? Now put IoT at the center stage and try to understand this. At minimum there are three technologies that need closer inspect for any IoT implementation in enterprises: Cloud, hardware and wireless technologies.

Cloud has evolved and maturity is good enough to make sure that the adoption remains streamlined. But even with a mature technology, IoT use case challenges all forms of our existing cloud connectivity models.

As far as hardware is concerned, the last 30 years of manufacturing and other core engineering industries have been working, we have seen mass adoption of close sourced hardware in form of PLM and other technologies. With such a heavy industrial adoption, closed source tech has associated heavy costs even with minor pivots. This created agility issues that are difficult for industries to look through as they can’t simply throw away their entire infrastructure.

Open source tech has been influencing and driving IoT since last 3 years. But majority of our core engineering industries have largely been unaware of how open source tech works. There are potential pitfalls and immense opportunities with open source tech that software world has been extensively leveraging. But with hardwares, everything has a cost or license associated with it. With this closed nature of hardware industry, it gets difficult to customize off-the-shelf products to match with specific process or innovate on top it.

IoT security

Nobody, absolutely nobody has figured this out yet. No matter what you implement can be broken down, or at least blocked to create service disruption. Internal processes being disrupted is one thing, but what’s even more damaging is your IoT product/service compromising customer’s privacy.

It was until 2015, when we shifted IoT communication security from 64 bit encryption to 128 and then to 256 bit encryption. OWASP has established some best practices and awareness around IoT security, but as I said before this has been a largely the biggest factor preventing IoT adoption in enterprises as well as consumer facing products.  

Extremely painstaking product development

Lack of understanding of how IoT technologies work, how IoT product development should be done, and how the costs of product development should be controlled, etc makes IoT product development a discouraging step for many enterprises.

The technology fragmentation and lack of standardization further increases the pain that C-suites have to go through when they implement IoT programs.

For example, we were in middle of implementing a mesh network based out of Zigbee back in 2015, when we meet folks from Bluetooth SIG and nRF that hinted us towards an upcoming mesh network on nRF’s stack.

We saw the subsequent release in 2016, with an extremely easy to manage and govern stack. Point being that these technologies are evolving faster than ever, while the opportunity window seems to be shrinking as the technologies mature as well. So, it really boils down to risk vs opportunities and tons of fragmentation and vagueness ahead of it.

Legacy equipments

The way we have been building connectivity in the last 2 decades was dependent upon wireless, and built for a local-on-premise infrastructure. That had its benefits before Industry 4.0, but now things have changed.

“If you can connect it, you can improve it”

But we never built anything for low power and wireless connectivity. What we built was supposed to talk over RS232s, USB serial or PLCs.

I have met enterprises that have invested more than $20M and can’t replace even 10% of their existing investments in the next 2 years. They are stuck, stuck with legacy equipments that somehow needs to be connected.

If you have a programming experience like I do, you would straightaway think that simply by passing a serial command over USB or RS232/487 interfaces you should receive this information. But things aren’t this easy. The plant that I spoke about had 67 different devices, all have been implemented with Fortran, Cobol, Visual Basic, etc with each equipement being uniquely built. Most of the documentation was lost and the enterprise rarely knew what commands did what. It took us a month to figure that out for their behalf.

Even though we figured out all communication protocols, it was another puzzle to get through how the legacy programs actually worked. Remember, we were doing all of this without documentation. We even had the original programmers sat across the table and look at these programs. Even they couldn’t recall what they did at that time. Glad that code documentation and architectural documentation are a real thing these days.

Lack of off-the-shelf solutions to match for processes

Not each and every C-suite out there is looking towards custom hardware product development as a potential solution. With that being said, off-the-shelf solutions aren’t customizable enough to match their requirements. Not without inducing significant risks to the entire operation the C-suite is concerned with.

Take Beacon’s for example, ready made off-the-shelf beacons look good at the start, but if you are really looking to induce the battery life, implement a different routing algorithm and add more number of states, you will find them to fall short in a lot of ways.

Lack of subject matter expertise

I would personally rate this as one of the major concerns that industry executives have when they work with external or internal teams on IoT programs.

There’s a lack of understanding and product empathy in general when it comes to IoT. How many IoT vendors have you came across that talk about building automation systems and can get into specifics of HVAC?

If that wasn’t enough, the real revenue leakage in an industry comes from understanding real processes, not just blindly enabling tracking. Lack of real subject matter expertise is what prevents IoT adoption.

Well, these are some of the largest challenges that IoT faces before it goes mainstream. If you have any questions, or if you have any suggestions, feel free to drop a comment.

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Given my Telco background, it was logical that back in 2014, I published some of my first articles in my  IoT Blog about the topic “IoT Connectivity . I described how the optimist predictions of analysts and companies like Cisco or Ericsson, made the Machine to Machine (M2M) an attractive market to invest.

The fact that “Tata Communications have acquired mobility and Internet of Things specialist Teleena is a clear indication of the phenomenal growth rate in the global IoT connectivity market. “By 2021, enterprises’ spending on mobility alone is set to surpass USD 1.7 trillion,” said Anthony Bartolo, Chief Product Officer, Tata Communications.  I hope to see Tata Communications/Teleena in the next Gartner´s Magic Quadrant for M2M Managed Services Worldwide.

There are still people who doubt that connectivity is a key component in the M2M/IoT Value Chain. Please remember without connectivity simply there is not IoT.

Obviously during these years many of my projects have been associated with IoT connectivity. From the analysis of M2M/IoT Service Providers to the conceptual design of end-to-end solutions where connectivity selection was a key component. One of the most interesting projects was the analysis that I made for the Telefonica project "IoT in a box". Without forget projects to compare LPWAN technologies, End to End Security, Identification of Uses cases for 5G. Sometimes also I had to sell IoT connectivity.

In the last years in the IoT connectivity market I have seen:

  • Consolidation of the market like “KORE buys Wyless” or “Sierra Wireless, Inc. Completes Acquisition of Numerex Corp.
  • The appearance of companies like 1NCE, the first dedicated Tier 1, Narrowband IoT MVNO providing fast, secure and reliable network connectivity for low data B2B applications offering a set of optimized product features – such as an IoT flat rate and the first of its kind 'BUY ONCE'​ lifetime fee
  • The still not bloody battle between LPWAN operators (SigFox, LoRA network operators, NB-IOT, LTE-M)
  • Telco Vendors, Operators and Analysts talking about the promise of 5G
  • New Wifi and Lifi IoT use cases
  • IoT Security breaches
  • Operators focus on key industries and use cases
  • The partnership M2M/IOT Service Providers ecosystem evolution
  • Agreements among M2M, MNO and Satellite operators.
  • The lack of standards in the Smart Home connectivity
  • The expectation for solve the real time connectivity challenges in Industry 4.0 and Edge Computing –
  • Time Sensitive Networking Industry 4.0 use cases and test bed by IIC members
  • ….

But in my opinion, enterprises still are confused and delaying their decisions to adopt IoT / IIOT because they need good advice about the right IoT connectivity not just the cheapest prices but easy integration or better customer support.

I want to remember again that I can help you in the selection of the right M2M /IoT Service Provider for your enterprise business requirements as a strategic decision.

IoT Connectivity - the ugly Duckling of IoT Network Operators

Telecoms operators’ more focused approach to bolstering their IoT businesses appears rooted in refining the technology inherent in their connectivity networks. And no wonder, The powerful GSMA has been helping Mobile Operators to define their role in IoT. At first sight, the best way for large telecoms operators generate value from the IoT might appear to be by providing connectivity via their networks. Additionally, they could leverage their vast experience in customer engagement, customer premise equipment (CPE) support and their robust, proven back-office systems by offering their OSS and BSS platforms externally to IoT users, using their OSS to provide users with a turnkey platform to manage their equipment proactively in real time, and their BSS to support the related billing requirements. In fact Global telcos set sights on IoT for growth in 2018.

Nevertheless, Analysys Mason, highlighted “Telcos have been working with the broader ecosystem, including developers, cloud players and hardware vendors this past year – all of which “should set the market up for an active 2018”.

Although many people think that IoT connectivity  is or will become a commodity with little value for customers and along with the hardware will form the ugly ducklings of the value chain, IoT Network Operators should strive to demonstrate that IoT connectivity is vital for the global adoption of the IoT and seek to increase the income derived from its connectivity services with aspect like security and the contextual data value that their networks transport.

IoT Data is the new Oil also for IoT Network Operators

If connectivity seems doomed to play the role of ugly duckling, the data on the other hand see how its value increases and increases with each new technology.

How many times have we seen a presentation with the title "Data is the new Oil”? Even taught by me

Many Telcos are in process of Digital Transformation. The want to compete with the Google, Apple, Facebook, and Amazon (GAFA) and avoid same situation lived with these Over the Top (OTT) vendors.  IoT is giving them an opportunity to monetize the IoT data and convert their networks in pipelines of value.

IoT data is a new source of revenue without forget that will also produce incremental profit through operational productivity and efficiency.

The new stream of data coming from the physical world and the billions connected things are mostly transported by the IoT Network Operator´s networks and once these data is captured, the IoT Network Operators can monitor everything and feed their AI systems. Is then, when finally, IoT Network Operators can make a lot of money of IoT contextual data and aggregated data.

Can you imagine the opportunities leveraged by the connection of millions of devices and intelligent things over your IoT network? A vast amount of useful data generated by smart containers, smart home appliances, smart cities, connected cars, smart healthcare devices, or wearables, which for many businesses is an extremely valuable commercial tool. IoT Network Operators possess the capability of performing real-time data analytics on readily available data to determine product performance, improve customer experience and forecast network capacity, all of all which IoT-ready businesses could benefit from.

Key Takeaway

IoT connectivity is still at the core of all IoT Network Operators / M2M Service Providers. But some of them are implementing different strategies to capture more business of the IoT value chain. The idea of IoT connectivity will become a commodity with not added value is influencing the decision to invest in new IoT enabled networks (5G, LTE-M, NB-IoT).

It’s clear that there are some strong opportunities for IoT Network Operators / M2M Service Providers looking to capture the full potential of IoT, and it’s time that they open up their services to support companies from all sectors who are looking to employ IoT connectivity but also machine data intelligence as part of their business models in this IoT driven digital transformation.

Telcos offering IoT connectivity should look to monetise data and offer businesses unique insights that could potentially open doors to new revenue streams or even improve operational efficiencies. 

If IoT business is about data and assets, Telcos need to shift from technology and connectivity to business value and creation of valued services.

 

Thanks in advance for your Likes and your Shares.

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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.

 

About the Author: Taylor Welsh is a writer for a Speedtronic reseller, located in Fuquay-Varina, NC. To see more, visit AX Control.

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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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Supply chain managers know better than anybody how many things can go wrong between point A and point B. Damage from mishandling and the elements, contamination, and product and IP theft are all very real threats. So how can you use technology to secure yourself against known and unknown threats in your industry? Just as importantly, how can you keep that technology sufficiently secure?

An ounce of prevention is worth a pound of cure — and IoT technologies for the supply chain boast a lot of potential cures. Luckily, with the right approach, you can have all the benefits and still minimize the risks.

What Kinds of Supply Chain Challenges Do IoT Technologies Cater To?

The most obvious advantage of bringing IoT technologies aboard is that you grant yourself true visibility of all your operations. You might justifiably feel a little intimidated at the prospect of newfound access to real-time data at a truly granular level. However, depending on the type of work you do, there are many IoT solutions that might add to your value and help you work more intelligently — without a crippling learning curve.

For example, some elements in your industrial IoT might be as large as pallet trucks and order pickers. Major companies are already deploying warehouse and supply chain equipment with self-driving functionality to achieve higher levels of vehicular safety and productivity throughout their operations.

Other times, bringing IoT to your supply chain provides far quieter, but equally impressive, results. The cost of RFID tags and near-field communication has been dropping reliably for years. What this means is that even large quantities of shipped products and components can receive per-unit identification through trackable, sensor-equipped tags. The right technology can feed you real-time information about the condition of your shipments and details about the environment in which your remote vehicles, personnel and teams are operating.

Of course, gathering all this information is one thing. Sifting through it and actually arriving at efficiency-boosting action items requires the right data analysis talent. In some cases, you'll need a reliable third party who can help you make sense of it with a dashboard or cloud business tool that's tailored to the work you do.

As you've probably been able to gather, the rest of the challenge centers on keeping all these devices — and the vital data they carry — safe from prying eyes. It also has to be accessible and useful to your team and partners.

The IoT Comes With Challenges of Its Own

With few exceptions, the major challenges that accompany a supply chain's integration of emerging IoT technologies fall along these lines:

  • Ensuring continued connectivity throughout networks with virtually no downtime
  • Safeguarding vital data, such as shipment locations, and making proprietary information, source code and other IP resistant to theft and tampering
  • Making sure new hardware and software integrates well with existing platforms and IT solutions

You won't be surprised to hear this, but a majority of IT specialists in the corporate world cite increasingly complicated networks as the source of most of their security concerns. Think about the complexity of the IoT — and all its satellite devices, beaming information to each other and to you. You'll start to get a sense of the challenge awaiting you when your facility or supply chain operation performs its own digital upfit.

Using the IoT to augment your abilities as a market leader and add transparency to your organization doesn't have to come at the expense of security-mindedness, however. In fact, in making strategic IoT purchases, you're very likely to find yourself better prepared than ever for some of the general and industry-specific compliance and quality standards you might be expected to uphold, such as HIPAA, PCI-DSS and Sarbanes-Oxley.

These probably sound like consumer-centric security regulations, and they are — but they exist to protect you and your partners, as well. They're a reminder that every piece of technology in an industry that touches human lives is an opportunity and a responsibility in equal measure.

Productivity and Security Work Hand-in-Hand

One of your first steps is to work with your partners to develop a holistic security solution for your newly connected supply chain. Anything you come up with needs to be consistent and as strong as the weakest link. Where are mistakes or security breaches most likely? In client-facing operations? In the last mile of delivery? Communication is paramount at this stage.

After that, it's a matter of gradually rolling out the hardware and software you're bringing into your operations. There will be a learning curve, after all, but ensuring buy-in from your managers and process specialists can go a long way.

Making conservative changes, one at a time, is also good for getting your team members acclimated to changes in their workflows and helping them iron out the kinks. Think about the waste you'd incur if the sensors you've deployed with your outgoing shipments aren't recovered and returned to your facility, for instance. Technology is filled with opportunities, but some of it also requires attention to detail. A deliberate approach ensures things progress smoothly.

Depending on the technologies you deploy, the granular, real-time data you gather from your logistics, sourcing, handling, shipping and returns departments can help you peer into the future and more accurately anticipate fluctuations in customer demand. You can also plan for changes in parts and material availability throughout your supply chain.

You get to think several steps ahead of the game and stay ahead of your competitors. Think about the benefits of getting ahead of something like the electronics components shortage currently gripping the market.

That level of planning ahead is useful for keeping your operation secure in many ways. One is anticipating where your products will be needed and planning ahead for potential roadblocks. Others include better preparedness and more complete contingencies for emergencies such as natural disasters, lost or stolen shipments, lost internet reception for connected devices, extended power outages and more.

In this way, technology is a bit like a snowball. As it solves one problem, it seems to elegantly solve other interrelated issues. As a consequence, if you play this right and work with the correct talent, you'll find yourself improving efficiency throughout your operations — even as you make them more resilient against outside forces and unforeseen interruptions.

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The Internet of Things will do more than make our homes and cities stronger. They’ll also make everything more connected - including our people. To put it simply, we’re moving into the era of Civic Engagement 2.0. And that’s a wonderful thing, provided your city is prepared for it. Here’s how you can be.
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It is still the early days for autonomous trucks, and a report by Gartner estimates that by 2021, less than 1% of long-haul, over-the-road freight will be carried by driverless trucks.

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The trucking business already leverages the advantages of using mobile technologies, but the volatile nature of rising labor rates, fuel costs, increased traffic, and a changing regulatory environment, continuously making operations challenging.

Inefficiencies caused by lack of visibility create considerable costs. However, with the help of disruptive technology such as the Internet of Things (IoT), visibility into equipment, assets, personnel, and transactions, enterprises can better support crucial operations in real-time and improve operational efficiency and performance.

By leveraging enterprise IoT asset intelligence, the trucking can tackle problems with solutions powered by IoT. 

Problem # 1: The traditional transportation model lacks the operational efficiency of the trucks.

The Solution: IoT in transportation has empowered trucking business owners to improve the operational efficiency of trucks by real-time monitoring and tracking of the fleets. With real-time monitoring capability, decision-makers can make out-of-the-box business decisions. Whenever there is an engine oil leakage, an alert is sent well before time indicating about the threshold it has reached, that’s how the internet of things makes a difference in the trucking business.

 

Problem # 2: The consumption of fuel was increasing and congestion problems start arising. 

The Solution: Usually, the traditional transportation business models consumed energy affluently due to improper route management, so an optimized route management was crucial to building a sustainable trucking business. With the help of real-time field data, efficient fleet route management eliminated almost 175 grams of carbon emission, produced by every extra mile traveled by any vehicle. With the manual monitoring getting expensive and inaccessible, the IoT enabled heat and motion sensors to utilize the energy resources more smartly, which provides huge value to the administrators. 

 

Problem # 3: Tracking of public transport became a serious issue.

The Solution: Managing the traveling from one point to other was possible by the traditional public transport but not the tracking real-time location of the vehicle and knowing when it will arrive at a particular stop. With the help of real-time sensor data, selecting the optimal route based on real-time conditions got easy, resulting in better public transit management. The IoT sensors tell where the traffic is jammed up and reduces the congestion and find an alternate route became easy which consumed the energy and time. IoT sensors tell where the traffic is jammed and convey the alert to the fleet and find an alternate optimized route to save time and energy.

 

Problem # 4: Increase in operational cost and damage to the infrastructure.

The Solution: From the traditional transportation model, loading the exact amount of load in the trailers was near to impossible. So, a proper check on the vehicles like size, weight, and type of vehicles is done and the load in the trailer is measured in real-time using weight sensors. Through IoT and smart devices, the overloaded vehicles can be identified and can be partially unloaded to evade fines. From the real-time tracking, alerts are sent well before time so that an optimized efficiency can be achieved.

 

Problem # 5: No advance alerts and availability of parking slots.

The Solution: The integrated smart transportation system tells the real-time information of the driver as well as the vehicle and warns them about the potential engine outbreaks. IoT in transportation can also ensure the smart parking, which tells about the lots that are presently available in real-time. Also, the multi-level parking system helps in reducing the operating and maintenance expenses. IoT sensors help in increasing the safety, comfort, and efficiency in driving and parking.

 

CONCLUSION:

Over several recent years, the Internet of Things has unlocked a box of new opportunities in the trucking industry and has undoubtedly advanced beyond recognition. IoT is all about digitally connecting devices and analyzing the data to predict future outcomes or possibilities and the transportation industry is at a point where it can leverage the full potential of this disruptive technology.

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One year ago, I wrote the first part of this article: "Who need an IoT Analyst?". In this 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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With literally hundreds of IoT platforms on the market, how do you know which ones to add to your short list? As a rule of thumb, an IoT platform should connect to Things, manage their identity + security, collect data, store, manage, analyze and visualize that data, integrate with enterprise systems and take action on insights. 

In this podcast, Rob Tiffany walks you through these minimum requirements to help you make an informed choice.

http://theinternetofthings.io/iot-podcast-8-what-to-look-for-in-an-iot-platform/ 

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We are well aware that IoT offers a range of possibilities across various industries including consumer electronics and cars, healthcare, utilities, transportation, manufacturing, and so on. Also, Industrial IoT offers means to obtain insights into the business operations.

IoT offers a greater promise in the healthcare sector than in other sectors. This is because the IoT principles are already being applied to enhance the quality of care, reduce the cost of care, and improve the overall access to care. 

The integration of IoT features into medical devices greatly enhances the effectiveness and quality of service, especially bringing greater value to those requiring constant supervision and elderly patients suffering from chronic illnesses. The IoT has the potential to not only keep the patients healthy and safe but also to improve how the doctors provide care as well.

A few estimates have revealed that by 2025 spending on Healthcare IoT solutions will reach around $1 trillion, and hopefully, will make the conditions favourable for highly accessible, on-time, and personalized health services for everyone.

The IoT can also enhance patient satisfaction and engagement by allowing patients to spend more time interacting with their doctors. This article will explore some of the major applications of healthcare IoT and the challenges it poses for healthcare today.

Applications of Healthcare IoT

Starting with managing chronic diseases to preventing a disease, there are a broad range of applications for IoT in the healthcare sector. Now, let’s dig deeper into each of the major applications.

Providing Constant Attention

The patients who are hospitalized and whose health status requires close attention can be monitored constantly using noninvasive, IoT driven monitoring. This kind of solution uses sensors to gather comprehensive physiological data and the cloud and gateways to examine and preserve the data and then send the examined information wirelessly to physicians for further analysis and review.

This eliminates the need for the doctor having to visit at regular intervals to check the vital signs of a patient, instead offering a continuous and automated flow of data. In this way, it enhances the quality of care via constant attention and lowers the cost involved by eliminating the need for a physician to engage actively in data gathering and analysis.

Building Trust

The connectivity of a healthcare system with the IoT places emphasis on the patient needs. This means timely intervention by doctors, enhanced accuracy in case of diagnosis, proactive treatments, and improved treatment outcomes result in a care that is highly accountable and gains trust among the patients.

Remote Patient Monitoring

All over the world, there are many people who face health issues due to lack of access to effective health monitoring. But, with the help of powerful, interrelated IoT solutions, monitoring the patients has become easier than ever.

These solutions can be utilized to capture the health data of a patient in a secure way from different sensors, make use of complex algorithms to examine the data and then share it via wireless connectivity with the physicians who can make proper health recommendations.

Reduced Costs

With the availability of real-time data from the connected healthcare solutions, the doctors can not only take better care of their patients but also lessen their number of visits to the patient as they can monitor their patients remotely. This decreases the overall health care costs as the costs involved in hospital stays and readmissions are cut down to a greater extent.

Configuring Emergency Alerts

Healthcare IoT allows care teams to gather and connect millions of data points regarding the personal fitness of a patient from wearables like activity, temperature, perspiration, sleep, and heart-rate. As a result, the information obtained from sensors can send out real-time alerts to caregivers and patients so they obtain event-triggered messaging such as triggers and alerts for elevated heart-rate and so on. This will hugely enhance workflow optimization and ensure all the care is handled from home.  

Challenges of IoT in Healthcare

The IoT continues to face challenges in spite of the promise of what it can achieve in healthcare. If these challenges are not addressed soon, they could put the IoT at risk of failure.

By intent and design, the IoT devices collect and transmit real-time data. The infrastructure required to receive and process this information should be designed and developed for scale. This means obtaining, processing, and storing data in real-time from millions of IoT devices and applying analytics to gain insights from this data. Unfortunately, most of the providers lack the know-how and infrastructure to access the data.

Also, most of the devices reporting healthcare data suffer from a lack of common security practices or standards. Due to this, many healthcare IT professionals have raised concerns about the risks associated with data breaches and IoT device tampering.

Other major challenges include lack of EHR system integration and lack of adoption of interoperability. Addressing these problems will further revolutionize the health industry as more organizations will start implementing IoT for their healthcare services.

Conclusion

Healthcare IoT is transforming the way the facilities are delivered to patients. In order to derive the true value of healthcare IoT, the interrelated healthcare devices and the processes that are supporting them must work as a joint system that is comprehensive, integrated, and secure. With healthcare IoT facing few challenges, the healthcare providers are hopeful that the IoT will have a positive impact on delivering valuable data and supporting patient care.  

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