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In recent years I have listened till the satiety about the importance of ecosystems to make the promises of the IoT come true and in some way for not to leave in bad position the analysts who have flooded us with their optimistic predictions.

All, or at least most of those who read my articles know that there is no company in the world, no matter how great it is, it can do everything in IoT. So, ecosystems are the key to successfully in this business.

The ecosystem allows to achieve a multiplier effect and a trusted environment.

Creating an IoT ecosystem either horizontal (technology) or vertical (industry) requires a lot of talent alliance managers able to maintain win-win transactions over the time.

Select an IoT ecosystem is not an easy task. In the IoT ecosystems there are fights between equals, also abuses usually produced from the big ones over the little ones. There are conflicts with companies that are in several ecosystems sometimes with contradictory interests. It is very usual how partners collide with the objectives of the ecosystem and you can imagine betrayals and back stabs.

For instance after IBM acquisition of Red Hat, will the IoT open source architecture designed by the ecosystem Red Hat , Eurotech and Cloudera be a good decision?

In my post “The value of partnership in Industrial Internet of Things”  and subsequent comments I presented several successful cases of collaboration among members of these ecosystems. But let's be honest, there are few references and examples after 4 years.

The fragility of Alliances in IoT is a challenge to accelerate adoption of IoT Ecosystem solutions.

IoT Ecosystems

In Harbor Research article “ Has Anyone Seen A Real Internet of Things Ecosystem?” ,dated November 2013, the analyst firm wrote that no really significant ecosystem or network of collaborators had emerged in the IoT arena in spite there was early and very interesting efforts being made by several players. We can thing that in 2013, these ecosystems were very emergent alliance developments and have had not attained the scale, scope and momentum we expect will be required to really drive this opportunity to its intended and expected scale.  Most of the attempts thus far to drive an ecosystem advantage have failed to scale and reach critical mass.  This just underscores how challenging building a high velocity network of partners can be.

In this article I will focus my analysis on 4 examples of IoT ecosystems that represent a big portion of the value chain in the multiple IoT submarkets: IoT Connectivity Provider, IoT Cloud Platform Vendor, IoT Professional Services and IoT Solution Aggregator.

Telefonica: IoT Connectivity Ecosystem - https://iot.telefonica.com/partners

One of my first attempts to monetize my IoT services was through the Telefonica IoT Solution Partners program. It was four years ago. At the beginning I received a couple of calls from the Operator to help me create my account and describe my services. We were many partners and although the Partners Search portal left a lot to be desired, I did not see much competition in my services and I thought that we would be the perfect accelerator for the ecosystem. I was wrong. Since I register, I have not received any invitation to participate in any event for partners, nor has anyone contacted me to request my services, nor have I needed the portal for contact any other partner (for that I already have my LinkedIn network).

How the hell are you going to find me as IoT Solution partner if Telefonica IoT web page does not offer a link to the partner search page ? and the use of this non update page is frustrating with duplicates names, closed companies, etc.

Telefonica identifies 3 types of Partners: Operators Alliances, Channel Partners and Solution Partners.

Operators Alliances: Telefonica is partnering with other Tier-1 telecom operators including the IoT World Alliance and other operators like China Unicom, Sunrise and Avea in order to provide IoT customers with the best, seamless services worldwide and lower costs.

Channel Partners: Telefonica enables partners to drive growth and differentiate their business by reselling their Global Managed IoT services. It helps to increase their capabilities, enabling deployment on a global scale, in particular in regions such as Europe and Latin America

Solution Partners: Telefonica Solution Partners ecosystem consists of a global network of IoT providers with functional or industrial expertise: IoT Device Providers, IoT System Integrators and IoT Industrial Experts.

I never liked the idea of Telefonica oriented to quantity (around 1000 partners including duplicate names and not updated list) instead of quality in Partners and I think the results have been and are very poor. Clearly a point to improve if they want the IoT to take off inside the Operator.

Talking with Telefonica IoT you quickly recognize that if you are not Microsoft, AWS, or similar unless you bring business to them you will never get business from them.

Telefonica does not lead any IoT ecosystem, neither geographically, nor industrially nor technologically. It is just one more logo (important of course) in many presentations of IoT vendors.

I can not understand of its win-win strategy and goto market regarding IoT platforms. In addition to its own platform, Telefonica appears as a partner of at least Microsoft Azure, PTC-Thingworx, SAG Cumulocity, AWS IoT, Cisco Jasper, Libelium, etc. Maybe they should select partners around ‘share of outcome’ rather than share of investment if they want to lead some ecosystem. Pecking is good for the birds.

Telefonica need an open-minded company culture to become comfortable with an ecosystem structure.

IoT Cloud Platform Vendor  -  Microsoft IoT Ecosystem

Having worked at Microsoft, I recognize that I have had the temptation to become an IoT partner. But also, because my business model is based on vendor independence my decision was to help other companies to enter in the MSFT IoT ecosystem

This year I was convinced that I needed to change my approach. But, instead of becoming a partner, I decided to convince other 2 Microsoft partners strong in complementary disciplines (Business Intelligence and Cloud) to create a specific area for IoT. I have not succeeded, which makes me think that despite the efforts and investment planned by Microsoft, Partners do not see IoT business clearly yet.

The list of Internet of Things Trusted Partners certified in Microsoft Azure Certified is impress and I recognize the effort of Microsoft building an IoT ecosystem that fuels business transformation. Without going further, the largest partnership with GE Predix and the partnership with PTC  will help industry customers accelerate their digital transformations by adopting IoT.

In this case, finding an partner de Microsoft Azure IoT is easier than in the previous case. The categories of IoT partners for Microsoft are: Devices, Gateways, security, isv, network and telecommunication and system integrators.

By the way, no partner in Spain according with this web. ☹. Maybe is the right time to invest.

 Microsoft is expert identifying, nurturing and managing partners and Azure IoT is a great opportunity to lead some IoT ecosystems.

IoT Professional Services - EY IoT Ecosystem

EY, otherwise known as Ernst and Young, is a leader in the IoT space. Not involved in the construction of devices themselves, EY is instead helping organisations navigate the largely unchartered waters of IoT.

While working in an engagement with EY IoT, I read a report developed by Forrester Research dated Oct/18, 2017 “Vendor Landscape: IoT Professional Services”. This report segments the landscape of IoT Professional Services firms, based on functional capabilities to help enterprises deploy IoT-enabled processes, vertical market focus, and geographic reach. Based on the service offerings, vertical capabilities, and characteristics of a broad array of professional services firms, Forrester has identified eight categories. The major players in the consulting firm segment include Deloitte, EY, KPMG, and PWC because these strategic consulting firms combine strong business strategy capabilities with the ability to execute on digital transformation initiatives. The report clearly showed EY strong IoT capabilities across the globe. EY was also recognized as Internet of Things services leader by HFS Research.

For EY, initiatives like launch a global IoT/OT Security Lab to help clients stay ahead of emerging threats or to launch EY wavespace™, a global network of growth and innovation centers to help clients achieve radical breakthroughs is a way to demonstrate its strategic alliances like SAP, GE Digital, Microsoft, IBM or Cisco how important is to create an ecosystem with the firm. These technology vendors rely on EY to implement IoT solutions in large customers with a business-driven approach.

Do not expect EY or any of the consulting firms to lead any IoT ecosystem. Their role is to leverage their business strengths and client relationship to empower the ecosystems to which they belong

IoT Solution Aggregator - Tech Data IoT Ecosystem

Perhaps the most complex task I have done regarding advising of IoT ecosystems was with one of the largest IT distributors in the world, Tech Data. The challenge of balancing players like Microsoft, Dell, Cisco, IBM, Schneider or Vodafone with innovative startups in several industry verticals and different use cases without anyone feeling careless was very exciting.

To find a right place for Tech Data in the IoT value proposition schema, , was another challenge. It was great helping the company defining its role as an IoT Solution Aggregator and define which partners should be included for Tech Data IoT repeatable solutions.

Tech Data has been able to demonstrate how to become useful for IT and OT vendors and how provide value to existing and new channel of IIOT system Integrators worldwide.

I always have believed this approach could make easy for their small and medium end clients to adopt IoT solutions quickly.

I did not have time during my engagement with Tech Data to analyse and support the launch on new business models, but I am sure they will leverage its position to offer new services based on data aggregation.

Education, the latest products, support services, and firm footing in the B2B world put IoT Solution Integrators  at the centre of the Internet of Things craze.

 Key Takeaway

The IoT market is still in its early stage. Enterprises face many different options for IoT partners and suppliers. Choosing the right ecosystem is critical not only for a successful IoT project implementation but for the journey in their Digital Transformation.

IoT ecosystems need to understand that most industries thrive on "coopetition," it’s important to become cognizant and respectful of competitors, as they may also be your potential partners.

Just like with people, when it comes to IoT business, no two ecosystems are alike. We have been helping different type of companies to build or enter in the most suitable ecosystem. I have no doubt only the best ecosystems will survive; the challenge is to rank among so many. It is really a nightmare.

Ecosystems is hardly new but as rapidly evolving and if they are able to leverage the shared data and information from intelligent sensors, machines and assets, radical new modes of value creation will emerge.

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Your home security system. Air condition system. Your car. Why, even your coffee maker. Almost every imagine digital appliance is now connected to the Internet. The era of connected things has arrived.

IoT is no longer a science project that businesses are putting off for the future. It is a promise to a future that must be leveraged now. In fact, today, it is more difficult to find a coffee-maker or any home appliance without Wifi or Bluetooth connectivity. Not just at homes, even at corporations, connected devices has become a serious boardroom topic. According to DigiCert’s State of IoT Security survey 2018, 83% of organizations say the Internet of Things (IoT) is important to business today, and 92% say it will be in two years.

IoT can bring to businesses several benefits like improved operational efficiency, new revenue channels, business agility, and enhanced customer experience.

However, there are enterprise concerns that dwarf the possibility of gaining these benefits.

Among the top 4 enterprise concerns for IoT are security and privacy.

Source: DigiCert’s State of IoT Security survey 2018

How the Internet of Things can become the Internet of ‘Threats’

If not controlled, secured and monitored, the Internet of Things can go from smart connected things to a web of connected threats. Here are some ways how connected devices can go rogue.

#1 The connected risk of BYOD

Global corporations are losing no time in enabling their employees with BYOD (Bring Your Own Device) and WFH Work From Home working models. Although these working models amplify productivity, they also carry with them the risk of IoT.

For instance, an insecure connected device at an employee’s home can be hacked into by a hacker thereby gaining access to the office system. If the employee has failed to take adequate security measures for the office gadgetry, then it leaves the ground open for the hacker to seed an infectious malware, virus or anything malicious into the office network. That is the connected risk of BYOD which IoT creates.

#2 DDoS attacks

Source: DigiCert’s IoT Security Infographic

Do you know that insecure IoT devices can take down cities? IoT botnets combined with DDoS attacks can bring connected urban infrastructure to a grinding halt. This is not any sci-fi or fictional scenario. Hackers can track down IoT sensors, hack into their weak interfaces and run commands to shut down services or to hijack their functioning.

To cite a real-world example, cities like New York, Singapore, Barcelona, etc. are already running extensive public utilities with the help of IoT. IBM’s white paper - The Dangers of Smart City Hacking found more than 17 security vulnerabilities that make it “painfully easy” to take down large IoT-based urban networks. The security vulnerabilities included public default passwords, SQL injection, authentication bypass and so on.

#3 Premise Intrusion

Home security device shipments worldwide is expected to touch 700 Millions by 2019. According to Alarms.org, three-fourth of homeowners buy security systems that can be monitored through their mobile devices. While these systems saves time and provide convenience, they also become easy targets that hackers can infiltrate easily.

By hacking into the smartphone or a weak smart device, the hacker can take down the home security system thereby gaining access to the entire household. The same scenario applies to corporate offices as well, which makes IoT a certain Internet of Threats.

So, do these security threats mean that it is the end of the road for IoT app development? Not so. There are best practices that enterprises can embrace to insulate their IoT networks from vulnerabilities.

Best practices to establish security in IoT app development

IoT is a relatively new concept. The IT industry as a whole is yet to attain widespread knowledge and authority on its usage, maintenance and security. Here are some best practices that can help thwart the security risks involved in IoT app development.

#1 Review the risk involved

Having a brief idea of the risk landscape will help device a strategic security policy specifically for IoT devices. Penetration testing can be carried out to identify key vulnerabilities that should be addressed on high priority. For example, default public passwords is a vulnerability that can be resolved quickly without much ado.

#2 Setup device identity

Each device in the IoT network must be identified and tagged to grant secure access. Use secure over-the-air updates to keep the device security intact and in tune with the latest development.

#3 Encryption

More than the connected device, it is the data that it creates and exchanges that is of value. Every data exchange by the devices in the network should be secured with end-to-end encryption, code signing or with SSL certificates.

#4 Public Key Infrastructure

Public Key Infrastructure (PKI) can help create the basic framework required for authenticating device identities and for establishing the integrity of security patches. It also facilitates easier management of public-key encryption thus making it a perfect choice for establishing IoT security.

#5 Plan long-term

IoT is going to be here for the long-term. It is not any short-term fad that can be easily replaced. It is got a strong hardware presence which cannot be removed easily. Hence, any security measures made for IoT networks should be planned for the long-term.

What’s next?

With the promise of IoT comes several perils as well. IoT botnets can take down large-scale and sensitive connected networks, including urban infrastructure, home security systems, etc. McKinsey Global Institute estimates the economic impact that IoT can create to be in the range of $3.9 trillion to $11.1 trillion worldwide by 2025. But, the true economic benefit of IoT can be attained only if it is secured and insulated from security threats. To sum it up, security should be the bottom line of IoT app development. Without security, IoT can create more damage than the benefits that it can provide.

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What is an Intelligent Transportation System (ITS)?

The European Telecommunication Standards Institute states that intelligent transport systems are those which include telematics and all types of communication between vehicles, in vehicles and between vehicles and fixed locations. Moreover, ITS is used not only in road transport but also in rail, water, and air transport. The Integrated System is quite capable enough of consuming a large amount of data and hence producing useful information to the traveler. This efficient information guides the traveler to reach their destination in the most optimized way.

Why a large amount of data is important?

We hear more often that people are getting fastly connected than ever because of accessibility to high-speed transportation and increased capability for sharing information, IoT in transportation is a fusion of this large amount of data which comes from multiple sources.

According to a study by McKinsey Global Institute recently it was stated that automotive industry will be the second largest producer of data in the forthcoming years and if we combine automotive with travel and logistics industry then the output for the same grow by an additional 30%.

How the data is fetched from sensors?

Sensors are highly important to get the raw data and if we consider the data of one sensor with another than we can get a deep understanding of the performance and behavior of the system. With the IoT in transportation, sensors and fetched data from them helps in detecting whether a wheel on the vehicle is slipping or not and accordingly alerts the driver or the concerned person to apply brakes. The data from these sensors help in the real-time analytics within the vehicle.

How this sensor system enables to take quick business decisions?

Data from various sources is collected and is integrated to reduce the uncertainty. Data collected from sensors is gathered and is analyzed further to have a deep insight such that it reduces the uncertainty for a particular situation. For example, the ambient air temperature being used alerts that the temperature is below freezing and the sensors used on the axle reports slippage then the situation come out to be that there is ice in that area. These alerts are sent by the cloud analytical system and (not sent manually) which warns the driver before entering a particular area.

Further, the cloud-based system sends this report to the operations center as well. This analysis report is further sent to nearby and surrounding systems which are outside the geo-fenced area. Alerts tell them about the detected ice region so that they can re-route if possible.  

 

The Industrial IoT and its myriad potential have changed the scenario of the Transportation industry. the system has enabled to make smarter and more informed decisions. The IoT technologies need to be embraced to cope up with the competition. As the industry was in continuous suffering from heavy operational costs, the implementation of Internet of Things has made safe and cost-efficient business operations. On leveraging IoT, the connectivity and capability for predictive analytics has streamlined the processes and hence has enhanced their bottom line.

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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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As we covered in the past, Gartner is out with their predictions for IoT. This time for the year's 2018-2023. The announcement was made at the Gartner Symposium/ITxpo 2018 in Barcelona, Spain. 

Nick Jones, research vice president at Gartner said, “The IoT will continue to deliver new opportunities for digital business innovation for the next decade, many of which will be enabled by new or improved technologies. CIOs who master innovative IoT trends have the opportunity to lead digital innovation in their business.”

And CIOs if you're not paying attention, get on it. Gartner says you need skills and partners to support IoT. Come 2023 the average CIO will be responsible for more than three times as many endpoints as this year.

Gartner shortlisted the 10 most strategic IoT technologies and trends that will enable new revenue streams and business models, as well as new experiences and relationships:

Trend No. 1: Artificial Intelligence (AI)

Gartner forecasts that 14.2 billion connected things will be in use in 2019, and that the total will reach 25 billion by 2021, producing immense volume of data. “Data is the fuel that powers the IoT and the organization’s ability to derive meaning from it will define their long term success,” said Mr. Jones. “AI will be applied to a wide range of IoT information, including video, still images, speech, network traffic activity and sensor data.”

The technology landscape for AI is complex and will remain so through 2023, with many IT vendors investing heavily in AI, variants of AI coexisting, and new AI-based tolls and services emerging. Despite this complexity, it will be possible to achieve good results with AI in a wide range of IoT situations. As a result, CIOs must build an organization with the tools and skills to exploit AI in their IoT strategy.

Trend No. 2: Social, Legal and Ethical IoT

As the IoT matures and becomes more widely deployed, a wide range of social, legal and ethical issues will grow in importance. These include ownership of data and the deductions made from it; algorithmic bias; privacy; and compliance with regulations such as the General Data Protection Regulation.

“Successful deployment of an IoT solution demands that it’s not just technically effective but also socially acceptable,” said Mr. Jones. “CIOs must, therefore, educate themselves and their staff in this area, and consider forming groups, such as ethics councils, to review corporate strategy. CIOs should also consider having key algorithms and AI systems reviewed by external consultancies to identify potential bias.”

Trend No. 3: Infonomics and Data Broking

Last year’s Gartner survey of IoT projects showed 35 percent of respondents were selling or planning to sell data collected by their products and services. The theory of infonomics takes this monetization of data further by seeing it as a strategic business asset to be recorded in the company accounts. By 2023, the buying and selling of IoT data will become an essential part of many IoT systems. CIOs must educate their organizations on the risks and opportunities related to data broking in order to set the IT policies required in this area and to advise other parts of the organization.

Trend No. 4: The Shift from Intelligent Edge to Intelligent Mesh

The shift from centralized and cloud to edge architectures is well under way in the IoT space. However, this is not the end point because the neat set of layers associated with edge architecture will evolve to a more unstructured architecture comprising of a wide range of “things” and services connected in a dynamic mesh. These mesh architectures will enable more flexible, intelligent and responsive IoT systems — although often at the cost of additional complexities. CIOs must prepare for mesh architectures’ impact on IT infrastructure, skills and sourcing.

Trend No. 5: IoT Governance

As the IoT continues to expand, the need for a governance framework that ensures appropriate behavior in the creation, storage, use and deletion of information related to IoT projects will become increasingly important. Governance ranges from simple technical tasks such as device audits and firmware updates to more complex issues such as the control of devices and the usage of the information they generate. CIOs must take on the role of educating their organizations on governance issues and in some cases invest in staff and technologies to tackle governance.

Trend No. 6: Sensor Innovation

The sensor market will evolve continuously through 2023. New sensors will enable a wider range of situations and events to be detected, current sensors will fall in price to become more affordable or will be packaged in new ways to support new applications, and new algorithms will emerge to deduce more information from current sensor technologies. CIOs should ensure their teams are monitoring sensor innovations to identify those that might assist new opportunities and business innovation.

Trend No. 7: Trusted Hardware and Operating System

Gartner surveys invariably show that security is the most significant area of technical concern for organizations deploying IoT systems. This is because organizations often don’t have control over the source and nature of the software and hardware being utilised in IoT initiatives. “However, by 2023, we expect to see the deployment of hardware and software combinations that together create more trustworthy and secure IoT systems,” said Mr. Jones. “We advise CIOs to collaborate with chief information security officers to ensure the right staff are involved in reviewing any decisions that involve purchasing IoT devices and embedded operating systems.”

Trend 8: Novel IoT User Experiences

The IoT user experience (UX) covers a wide range of technologies and design techniques. It will be driven by four factors: new sensors, new algorithms, new experience architectures and context, and socially aware experiences. With an increasing number of interactions occurring with things that don’t have screens and keyboards, organizations’ UX designers will be required to use new technologies and adopt new perspectives if they want to create a superior UX that reduces friction, locks in users, and encourages usage and retention.

Trend No. 9: Silicon Chip Innovation

“Currently, most IoT endpoint devices use conventional processor chips, with low-power ARM architectures being particularly popular. However, traditional instruction sets and memory architectures aren’t well-suited to all the tasks that endpoints need to perform,” said Mr. Jones. “For example, the performance of deep neural networks (DNNs) is often limited by memory bandwidth, rather than processing power.”

By 2023, it’s expected that new special-purpose chips will reduce the power consumption required to run a DNN, enabling new edge architectures and embedded DNN functions in low-power IoT endpoints. This will support new capabilities such as data analytics integrated with sensors, and speech recognition included in low cost battery-powered devices. CIOs are advised to take note of this trend as silicon chips enabling functions such as embedded AI will in turn enable organizations to create highly innovative products and services.

Trend No. 10: New Wireless Networking Technologies for IoT

IoT networking involves balancing a set of competing requirements, such as endpoint cost, power consumption, bandwidth, latency, connection density, operating cost, quality of service, and range. No single networking technology optimizes all of these and new IoT networking technologies will provide CIOs with additional choice and flexibility. In particular they should explore 5G, the forthcoming generation of low earth orbit satellites, and backscatter networks.

Gartner clients can learn more in the report “Top Strategic IoT Trends and Technologies Through 2023.”

Photo credit: Jim Templeton Cross www.templeton-cross.com, Gartner Symposium/ITxpo Barcelona 2011

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Despite the industry being in a state of post-revolution following the onset and adoption of machinery, there is a batch of technologies that already define the state of technological innovation in agriculture.

 

The agricultural sector is in the middle of the data-driven transformation. Farmers and commodity traders are heading towards technological innovation in agriculture, adopting data analytics and smart farming technologies. Facing a crucial period in their history, agricultural businesses are tasked with combating the issues that will change not only their working methods but the world as we know it.

The agribusiness issues at hand

One of the greatest pain points associated with agriculture is the ability to predict the events that will achieve a given result.

Conditions play even less in the favour of farms positioned within markets that face rising production costs. The global population reaching 9.6 billion people by 2050, up from around 7 billion at present, according to forecasts from the United Nations, combined with the spread of economic prosperity are adding great pressure to the market. The UN suggests the doubling of crop production by 2050 as a countermeasure to this growth.

Some farmers simply cannot increase their land in order to grow more crops. As a result, there is a case for technology to make better use of the space available.

 

How IoT and predictive analytics can solve agriculture’s pressing problems

To become more efficient, agricultural businesses need data and plenty of it. This opens the door for technological innovation, as the size of these businesses and their plots of land prevent any kind of manual surveying.

Already we are seeing an active use of IoT devices to analyse the status of crops, capturing real-time data with sensors. For instance, with soil sensors, farmers can detect any irregular conditions such as high acidity and efficiently tackle these issues to improve their yield.

The data gathered from sensors allows to apply advanced analytics and get the insight that aid decisions around harvesting, while machine learning can transform the figures into solid predictions. Using advanced analytics, agricultural businesses can forecast yields, foresee unexpected weather conditions, predict market demand and mitigate risks, as well as better plan their capacity.

Agricultural drone is also among the key components of smart farming today. Tasked with the surveying of crop and livestock conditions from up high, their use of time lapsing within onboard cameras is helping farmers identify problems in areas like irrigation, which would otherwise go undetected.

Other members of the drone family allow for the spraying of crops at a greater accuracy than a tractor. As an added benefit, this also seeks to reduce the risk of human exposure to harmful chemicals. Back to ground level, there is potential for other robots to help out with manual duties like planting, ploughing and meat production.

The end goal in this case? A more efficient, more effective farm.

 

Conclusion

To spell things out: population growth could mean that every agricultural business will have to increase their levels of productivity over the next 30 years. That said, a review of the tech on today’s market suggests even the most specific problems can be matched with smart agribusiness solutions.

In the era of smart agriculture, IoT and predictive analytics are powering more efficient operations around the world. Combining IoT with analytics, agribusinesses get accurate predictions for crops and market conditions, allowing to increase their yields and profits. Smart application of technologies can facilitate warehouse and inventory management, help plan and execute seasonal works with the automated flow of data from the fields and agro-research labs.

Get in touch to discuss where the IoT can help futureproof your own agricultural business.

 

Originally published at eleks.com

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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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A Broad View of the Impact of Artificial Intelligence on Remanufacturing 

The advancement and utilization of Artificial Intelligence (AI) is poised to make a similar impact in the 4th Industrial Revolution we are currently experiencing as Henry Ford’s assembly line did over 100 years ago.  A convergence of machine learning algorithms, big data analytics, and connectivity between machines due to Internet of Things (IoT) capabilities are impacting and reshaping industry and business around the globe.  Here is a broad overview of some of the contexts within remanufacturing these advances are rapidly being applied.

 

Design for Remanufacturing

Barriers for remanufacturing can always be traced back to the initial product design stage.  If products were better designed to accomplish the goals of the remanufacturing process, massive improvements and efficiencies can be accomplished.  The adoption of ubiquitous information and communication technologies (ICTs) thanks to elements of advanced AI as described above continue to blur the lines between virtual environments and the real world to create more sophisticated cyber-physical production systems (CPPSs).

 

Advanced Remanufacturing Processes

Artificial intelligence technologies are exponentially expanding computing power and connectivity which results in greater volumes of data that can be analyzed in a more robust manner than ever before.  This will allow remanufacturers to think big and push the envelope to develop more ambitious goals and objectives for their programs.  Lack of data or advanced robotics capabilities will no longer be impediments for remanufacturers to successfully process a higher percentage of product components and materials.

 

Robotics in Remanufacturing

Robots have already proven their capabilities in remanufacturing under certain conditions with relatively small and simple batches of components that usually involve some significant human oversight.  Advances in AI are moving the needle in identifying and creating new patterns in the way humans and machines interact.  This application of emerging technology shows significant promise to expand the capabilities of robotics in remanufacturing to tackle progressively more complex scenarios with less and less human interaction with greater efficiency.

 

Critical Failure Prediction

In industrial manufacturing settings, there is continuous pressure to improve efficiency, increase productivity, and reduce costs.  IoT connectivity and other elements of AI are being brought to bear in this environment to improve predictive maintenance and avoid machine failure during critical phases of production.  These same benefits of monitoring automated equipment on the front-end of the manufacturing process can also deliver the same benefits to the remanufacturing setting as well.  Not only can unexpected downtime be eliminated, but the ability to plan and schedule preventive maintenance more proactively and efficiently can occur as well.

 

Inventory Forecasting

One of the most significant challenges all remanufacturers face is predicting how much demand there will be for returned products with the flow of returned items coming into the remanufacturing process.  Of course, the quality of the materials being returned can make a significant difference as well.  AI technologies can greatly improve upon existing forecasting models that attempt to predict product returns.  Elements of Big Data and Machine Language Learning can leverage and up-date real-time data on sales, product usage, and warranty activity and more accurately predict product life expectancy and the rate and timing of returns into the remanufacturing process.  

 

Resilient Remanufacturing Networks (ReRuN)

Sustainability is the objective of remanufacturing in a world that has shifted from a linear model where products used to end up in a landfill once they are no longer functioning for their intended use.  As a society, we continue to grow more aware of the finite nature of our natural resources that has led companies to produce products according to a circular model whereas many components of an item are reused as many times as is practical.  

 

As stated in the points above, AI and other emerging technologies are already making significant improvements in all phases of the product life-cycle that occur prior to remanufacturing.  By embracing a ReRuN mindset that is calculated as early as the product concept/design phase, remanufacturing outcomes are positioned for greater outcomes due to improved forecasting in all elements of the remanufacturing process.

 

Closed-Loop Supply Chain Management

There can be no true resiliency for remanufacturing unless a complete closed-loop supply chain management strategy is employed.  In-depth studies on remanufacturing are just now starting to take place and raise awareness of the opportunities to be leveraged during the remanufacturing process to impact economic and environmental sustainability.  The advances in AI and all emerging technologies will help put remanufacturing on equal footing with all other phases of product life cycle.  Because this emphasis on remanufacturing is just starting to expand and receive attention, it also holds the most potential for impacting the entire product lifecycle.

 

The Future is Now

In the news, every day we continue to see advancements in the development of products and processes that seem to be right out of science fiction movies and shows of the 1960’s and 1970’s.  From flying cars to putting a colony of people on Mars, humankind is entering a bold new era where we now have the technology to execute just about anything we can imagine.  This coupled with an increased global awareness of our finite resources and need to be good stewards of our planet, will continue to bring greater emphasis and attention to remanufacturing in all phases of the product cycle.  AI and other emerging technologies are finally catching up and giving industry the tools to create this new reality.

 

Joseph Zulick is a writer and manager at MRO Electric and Supply. MRO Electric and Supply maintains a comprehensive stock of FANUC CNC and FANUC Robotics parts which are used in several industries including but not limited to engineering, manufacturing, packaging, and plant automation.

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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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One of the more significant elements of AI and IoT is the rise in automation technology, with the use of robots in particular having risen substantially between 2016 and 2017. According to Statista, the worldwide shipment of robots has risen from 294,000 to 387,000 - a huge number in a relatively small period of time.

This rise in industrial robotics has led to an increased interest in the use of robots in our everyday lives as well. While this technology is being designed to make our lives easier, how do people feel about the rise of robotics?

The capability of robots in the near future

From a long-term perspective, as technology develops there is a very high ceiling on the tasks that robots can realistically perform. At present, however, robotics are mostly used in an industrial setting, particularly for manufacturing.

As this technology continues to develop, in the near future, many experts believe that robotics will be more capable at assisting with everyday tasks domestically and at work - particularly household chores and other manual tasks.

This increased capability of robots has led to a dividing of opinion amongst the public, so how do people feel about robots, and what tasks are people most comfortable with a robot performing?

What the public thinks of robots around the home

In a study of people’s opinions towards the increase of robotics, there was a mixed attitude towards this technological development. While 34% of those surveyed believed that robots would make everyday life better, 32% disagreed, believing that robots would instead disrupt their lives.

A considerable element of this opinion seemed to be rooted in a fear of job loss, with 22% of those surveyed suggesting this concern. There was also a far greater percentage of those who claimed they would trust a human over a robot (54%) than vice versa (14%), suggesting there is a generalised mistrust of robotics amongst the general public.

The study also shows that the women surveyed were more concerned about robots than men, with 34% of female respondents worried about the influence of robots, compared to 29% of men. Additionally, only 32% of women believed that robots would benefit everyday life, compared to a far greater 46% of men.


There was also a higher level of acceptance and trust towards robotics amongst the younger respondents in the survey, compared to the older interviewees, who displayed a bigger fear of robots than their younger contemporaries.

Perhaps because of this divide in opinion, there were very few tasks that a large number of respondents claimed they’d be happy to let a robot perform. Only household chores received a large percentage in favour, with 40% of respondents saying they would be happy to use robots around the house.

These numbers suggest that while researchers and business innovators are confident that robots will have a big part to play in the future, the general public is yet to be convinced of their role in our everyday lives.

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