In 2017, McKinsey Global Institute published a surprising report: labour productivity in construction has decreased by 50% since 1970. In addition, McKinsey believes that productivity in construction has registered zero increases in recent years. While other industries have been transformed, construction has stalled. The effect is that, when adjusting to inflation, a building today costs twice as much as 40 years ago.
And although the construction industry is a growing market, there are still some problems that need to be handled to increase profitability and productivity. The main problems facing the construction industry in 2019 are:
Shortage of skilled labour
Rising cost of steel, aluminium, wood and other materials.
The construction industry is notoriously slow in adopting technologies such as IoT that could boost productivity and, ultimately, profitability.
And although it is believed that construction companies that adopt this technology would also be able to attract new labour force to work for them over others and, in general, have a significant advantage over competitors, the reality is that it is not happening. The general vision insists on a reality: construction and engineering companies see the need for change, but in one way or another they resist.
One of the biggest opportunities of the construction sector is its enormous capacity to reinvent itself. Building Information Modelling (BIM), 3D printing and Virtual Reality (VR) can help architects and builders in creating a construction model. These technologies, along with drones and IoT can be of enormous help to construction workers, increasing their efficiency and ensuring their safety. Materials science is also developing newer material that can impact the industry. The integration of technological trends such as IoT, will facilitate many of the tasks of the sector, optimising resources, improving compliance with deadlines and quality in projects and works.
The Opportunity of IoT in Construction
The appetite of investors for start-ups in the construction sector is growing, although not many are in the IoT box. There are still few examples of companies in the sector that are adopting IoT. And although I have no doubt that IoT will positively impact this industry none of the productivity, maintenance, security and safety drivers seem to be convincing them at the moment.
In the global Ecosystm IoT Study, participants from the construction industry were asked about the key business solutions targeted for IoT uptake. While the industry is aware of the IoT solutions and the role they can have in asset and people management, the actual uptake of these solutions is far lower. Around a tenth of Construction companies have some sort of an IoT-enabled asset control and management solutions.
There are ample examples of innovationwith IoT in Construction.
Construction site monitoring (Examples include)
Anchor load monitoring from installation
Control of the deformation of the ground during the construction of a tunnel
Monitoring changes in pore water pressure during soil consolidation
Monitoring of the settlement process during the soil recovery works
Wearables with AR capabilities and safety measures
IoT and other emerging technologies can improve productivity, reduce costs and security in the construction industry. Construction companies, real estate and engineering firms should continue their investments in IoT.
They should not fall back into the same mistakes of the past and should not fear the loss of jobs due to the new technologies like IoT or Artificial Intelligence (AI). The adoption of IoT is unlikely to replace the human element in Construction. Instead, it will modify business models in the industry, reduce costly mistakes, prevent injuries in the workplace and make construction operations more efficient.
Smart Construction is key to building Smart Cities and is an element in Smart Building, Smart Transportation and even Smart Healthcare. The limits of using IoT in Construction is our imagination.
Digital Signage. Digital Signage has proved to be an effective way of target marketing, eliminating the need for employees to put up physical signs and enabling dissemination of the latest product news and promotions to the consumers. Advanced Digital Signs include heat-mapping to upsell items based on high-traffic areas. Prendi, an Australian design agency created an interactive retail experience that is intended for store managers to showcase the most popular products, provide information, and simplify the overall sales and purchase process. Customers can take time to easily navigate through store inventory on a single screen, order for items digitally, which is then sent to a salespersons’ handheld devices, allowing them to take the items over to the customers.
Location-Based Marketing. Many retailers are collaborating with financial institutions and location-enabled apps to send push notifications on latest deals and offers straight to the customers’ devices, once they enter a demarcated location. This provides just-in-time data that increases app engagement and retention. Ukrainian hypermarket, Auchan, started a beacon pilot in Dec 2016 and kept adding new campaigns to strengthen the offerings in 2017. The hypermarket makes use of beacons to enable customers to receive notifications on navigation and promotions as they move through the store.
IoT for Supply Chain Optimisation
Smart Shelves. Shelves have turned out to be more than just a surface for displaying and storing objects. Retail stores are utilising RFID readers, weight sensors, proximity sensors, and 3D cameras for real-time visibility on inventory, layout, and shopper preferences. For FMCG products, monitoring the shelf life of perishable goods and proactive reorder alerts are extremely useful. Kroger Smart shelves are designed to offer digital support – they show ads, digital coupons that consumers can easily add to their mobile devices and changed prices as stores calibrate their product pricing. The shelves are built on top of sensors that keep track of products and real-time in-store inventory counts.
Remote Supply Chain. Retailers are looking to create a competitive edge and grow profits by optimising and digitising their supply chain management through IoT. Tive helps users keep real-time tabs on the condition of their shipped goods, notifying them about shock, vibration, tilt and other factors that might detrimentally affect those goods. Doing so allows retailers to expedite a replacement shipment and give customers a heads-up, and also tells when and where the delay occurred so future shipping routes can be adjusted if necessary.
Warehouse Automation. Devices, sensors and RFID tags help warehouse managers to know the exact details, location, and progress of any product at any time. This gives higher visibility into the inventory and the entire supply chain. UPS is using smart glasses in test programmesto reduce the amount of labelling on packages. Robots are used by the worldwide shipping company DHL in some of the company’s more modern facilities to reduce labour costs and improve order fulfillment speed and accuracy, all without disrupting ongoing warehouse operations.
The Retail industry already has several IoT use cases and AI-enabled IoT will further transform the industry. What are some interesting use cases that you can think of for the Retail and allied industries? Let us know in your comments below.
A preview of the New Zealand Agritech Story, developed along with New Zealand Trade and Enterprise (NZTE), was kicked off on a foggy Waikato morning on day two of Fieldays, providing insights into the country’s competitive advantage in Agritech along with perceptions of key global players. This was then followed by the New Zealand government announcing a new $20 million Agritech investment venture fund.
NZ Tech reports that the tech sector in New Zealand is the third largest and fastest growing export sector, worth $6.3 billion in 2015, and according to the TIN100, the Waikato, has had the fastest growing tech sector in the country two years in a row. New Zealand Agritech exports stand at $1.4 billion in 2018 and is growing – and together with a strong tech sector overall, the investment will help position New Zealand at the forefront of Agritech innovation globally.
Day two also revealed Fieldays Innovation Award winners across a range of categories including Modusense who took out the Gait International Innovation Award for Product Design and Scalability. Modusense, developed here in the Waikato, is a secure, scalable and reliable Internet of Things (IoT) device platform that provides everything needed to deploy remote data collection. In the primary industries sector, Modusense enables complete apiary health monitoring.
Another IoT enabled solution, RiverWatch, was awarded the AWS Innovation Award in Data for their “Fitbit for water” – an inexpensive water quality monitoring device. RiverWatch is currently running trials in the upper Waikato River in partnership with Te Arawa River Iwi Trust to look at the impacts of industry and farming on water health.
Agritech will transform the industry, and innovations such as those mentioned will further advance New Zealand’s position in the agriculture industry. The true value of Agritech will be realised when AI-enabled IoT is leveraged for cost savings through process automation, and for greater visibility of the entire supply chain. And leading organisations in the industry are aware of it. In the global Ecosystm AI study, Resource & Primary industries (including Agriculture) emerged as a leader when it comes to current and future deployments of IoT Sensor Analytics.
Innovations in IoT
Shipping and logistics in the agricultural sector present unique challenges including a lack of transparency, something that Sparrows.io is working to solve with a hardware and software solution that provides actionable insights using custom sensor modules and live tracking to enable visibility over the supply chain.
The recently launched TRex – IoT, Telemetry, Data and Messaging I/O Transceiver, was also being showcased in the Innovation Centre. Designed to be used for long range monitoring and control, the solution enables two-way messaging and is customisable to meet the needs of applications across various industry sectors including agriculture and farming.
Another innovation that caught my attention at the Innovation Centre was a water monitoring and management device designed to be connected to the irrigation system to enable effective management of water through a mesh network. Hailing from the deep south Next Farm has developed two solutions, with their Remote Irrigation Mesh (RIM) product utilising integrated farm sensor technology together with cloud-based dashboards allowing farmers to maximise the efficiency of water usage while minimising runoff.
Innovations in AI
One of my favourites from last year, Halter, were in the Mystery Creek Pavillion this year and after raising $8 million in funding to refine and further trial their solar-powered collar, for herding cows and monitoring their health, in the Waikato they are close to hitting the open market. Head of Data Science at Halter, Harry She, previously employed by NASA, oversees the development of what the team calls “cowgorithms” which form the basis of the AI underpinning much of the product functions. The collars, which can receive signals up to 8 kms away, is available free and farmers then subscribe on a monthly basis, at a cost per cow, to enable the features they require.
Another product back for another year was the PAWS® Pest Identification Sensor Padfrom Lincoln Agritech which is able to identify pests, differentiating these from native species, and transmit the result to the Department of Conservation staff. Utilising machine learning and AI, amongst other technologies, the device greatly reduces surveillance workload and enables staff to detect and respond to re-invasion more rapidly.
However, as exciting as the idea of a Fitbit for cows and innovation in the pursuit of a predator-free New Zealand is, I must admit the highlight of my Fieldays visit was a team of Agribusiness students from Hamilton’s St Paul’s Collegiate school who were awarded the Fieldays Innovations Young Innovator of the Year Award for their floating electro unit “Bobble Trough” designed to keep animal water troughs clean by preventing the growth of algae and microorganisms through the release of copper ions into the water.
I am now working to secure the team’s innovation as a display in a Smart Space being launched in July as part of the Hamilton City Council’s smart cities initiative, Smart Hamilton. A space designed to provide an opportunity for the wider community to engage with technology innovation and be involved in co-creating solutions that enhance the wellbeing of Hamiltonians.
In the year 2016, I considered Rio as the first Internet of Things (IoT) Olympic games in my article “The future of “The Internet ofOlympic Games”. In Rio, we saw how athletes, coaches, judges, fans, stadiums, and cities benefited from IoT technology and solutions which transformed the way we see and experience sports. Next year we will have another opportunity to validate my predictions for the upcoming Tokyo 2020 Summer Olympics. Therefore, we may designate Tokyo as the first Artificial Intelligent (AI) Olympic Games.
During my presentation at the University of Dubai, I explained to the audience how incredible IoT and AI technologies are and to what extent they are impacting our sports experience. I elaborated on IoT and AI’s significant role in health management, improving aptitude, coaching, and training. These technologies are enabling athletes to improve performance, coaching for better preparation, fewer judgment errors, and a better experience for spectators. I also commented on the importance of IoT and AI to enhance the security of teams, audience, stadium, and cities altogether.
With the use of IoT and AI we are creating a world of smart things transforming sports business where every thousandth part of a second is crucial to predict the outcomes of a race, a match or a bet. I cited various examples on how different sports are utilising IoT and AI, and not in the least I shared a vision of the future that’s like 10-15 years onwards from the present – Can you envision a world of a real and virtual world of sports integrated together? Can you visualise robots and humans or super-humans playing together?
On the other side, speaking of the challenges involved with AI, IoT, and machine learning models for sporting, I conveyed the dark side of these technologies. We cannot forget the fact that the sports industry is a market and therefore enterprises, Governments, and individuals may make erroneous uses of these technologies.
In summary, it in this session I shared my point of view on-
How IoT and AI will transform coaches, athletes, judges, and fans.
How IoT and AI will attract the audience to the stadiums
How IoT and AI will transform the Industry?
How AI is changing the future of sports betting?
How IoT and AI will transform athletes, coaches, judges and fans?
While the true essence of a sport still lies in the talent and perseverance of athletes, it is often no longer enough. Therefore, athletes will continue to demand increasingly sophisticated technologies and cutting-edge training techniques to improve performance. For example, we may see biomechanical machine learning models of players to predict and prevent potential career-threatening physical and mental injuries or can even detect early signs of fatigue or stress-induced injuries. It can also be used to estimate players’ market values to make the right offers while acquiring new talent.
Coaches are consuming AI to identify patterns in opponents’ tactics, strengths and weaknesses while preparing for games. This helps coaches to devise detailed game plans based on their assessment of the opposition and maximise the likelihood of victory. In many leading teams, AI systems are used to constantly analyse the stream of data collected by wearables to identify the signs that are indicative of players developing musculoskeletal or cardiovascular problems. This will enable teams to maintain their most valuable assets in prime condition through long competitive seasons.
We tend to think that technology is helping us to make decisions in sports more accurate and justified. That´s why we look at the inventions such as from Paul Hawkins – creator of Hawk-Eye, a technology that is now an integral part of the spectator’s experience when watching sport live or more recently VAR in soccer.
The use of technology is allowing the decision makers to experience the game with multiple cameras angles in real-time combined with the aggregated data from various sensors (stadiums, things, and athletes) thus making them make more objective and accurate decisions.
We as spectators or fans need more transparency about the exercise’s difficulty, degree of compliance and final score. And we have the technology to do it.
The IoT and AI technology don’t claim to be infallible – just very, very reliable and judges also need to be adapted to new technologies.
Without fans, sports would find it difficult to exist. It is understandable companies are also targeting fans with IoT and AI to keep them engaged whether in the stadium or at home.
How IoT and AI will attract the audience to the stadiums?
The stadiums, sports clubs and many leagues across the globe are incorporating technologies both inside and outside the stadium areas to boost the unique experiences for fans and not only during the gameplay.
The challenge is how to combine the latest technologies with old-school stuff to please supporters from both newer and older gen. people looking forward to witnessing a game in a stadium?
How will the stadiums of the future be? I read numerous initiatives of big clubs and leagues, but I am excited about the future stadium of Real Madrid. I wish the club would allow me to advise them how to create a smart intelligent Global environment to provide each fan with an individual experience, know who is in the crowd, learn fan behaviors to anticipate their needs.
How IoT and AI will transform the Industry?
“As long as sports remain a fascination for the masses, businesses will always have the opportunity to profit from it. As long as there is profiting to be gained from the world of sports, the investment in and incorporation of technology for sports will continue.”
I went through an article warning about an entirely new world order that is being formed right now. The author explained how 9 companies are responsible for the future of AI. Three of the companies are Chinese (Baidu, Alibaba, and Tencent, often collectively referred to as BAT), while the other six are American (Google, Amazon, IBM, Facebook, Apple, and Microsoft, often referred as the G.Mafia). The reason is obvious, as far as AI is about optimisation using the data that’s available, these 9 companies will manage most of the sports data generated in the world.
Collaboration is needed now to stop this threat and to address the democratisation of AI in sports. It is important that companies and Governments around the globe work together to create guiding principles for the development and use of AI and not only in Sports. This means we need regulations but in a different way. We do not want AI power to lie only in a handful of lawmakers, renowned and smart people who lack skills in IoT and AI.
Will AI change the future of sports betting?
The impact of technology on sports cannot be specifically measured, but some technological innovations do raise questions about fairness. Are we still comparing apples with apples? Is it right to compare the speed of an athlete wearing high-tech running shoes to one without?
Whether we like it or not, technology will continue to enhance the athlete’s performance. And at some point, we will have to put specific rules and regulations in place about which tech enhancements are allowed.
There is a downside to advanced technology being introduced to sports. Nowadays, Machine Learning models are routinely used to predict the results of games. Sports betting is a competitive world itself among fans, but AI can substantially tilt that playing field.
I am afraid that IoT and AI companies may spoil the result predictions but more concerned about the manipulation of competitiveness that AI algorithms could bring with the Terabytes of data collected with IoT devices and other sources like social media networks, without the permission of the users.
The sports industry is already generating billions of dollars every year and without control and awareness, we could find the future generation of ludopaths and a small number of service providers controlling the game.
Let me know what else would you like to see in my future posts. Leave your comments below.
Some of the key benefits we can expect from the digital exchange are:
Co-innovation between startups looking for partners and established vendors looking for external ideas for product improvement
Collaboration to solve like-minded industry challenges
Creation of open and interoperable tools to speed up new products and services offerings
Ability to leverage a large and diverse set of partners who can help each other discover new markets and services within their own industry and beyond
Digital exchanges can be wild and confusing, and they may seem disorganised to the newcomer. Think of the first impression you have when you walk into a large open-air market selling antiques. Initially everything seems to be piled into stalls with no logical reason. However, to the experienced shopper and stall owner, there is an organised manner to it that makes sense. And there are many wonderful things waiting to be revealed.
At this year’s Hannover Messe an original example of a digital exchange was rolled out by Schneider Electric called Schneider Electric Exchange — their digital ecosystem and business platform. Schneider Electric Exchange also has a structure to it that is geared up to help specific roles or personas and make it easier for anyone to find the right partner for solving specific business challenges. It is also set up to step someone through the life-cycle process of creating a solution by connecting them to the right tools with the right partners for the right markets. Business value can be created within the Exchange but is equally powerful outside when delivered to the end user. For example, building management designers can use Schneider Electric Exchange to find partners who are also experts of emerging technologies such as digital twins, 3D-Print, AR, and analytics.
We believe that digital exchanges will create immediate economic benefits by reducing friction and inefficiencies in the overall customer supply chain. Participants will be able to innovate faster and deliver quicker — even as customers’ experiences and expectations rise, evolve, and change at the lightning pace of the digital economy. Over time we expect that vendors’ Net Promoter Score (NPS) to rise as a result of improved business processes from these exchanges.
In conclusion, IoT will be the pebble that creates the ripple in the DX pond. Data will be created from every sensor that will be used to create competitive differences at every stage of a company’s value chain. Businesses that do not embrace the use of the data and innovate themselves as well as their products do run the risk of being very quickly disrupted. Companies also do not have the financial and technical resources to do all of this by themselves – hence, the opportunity to be part of a digital exchange is the way to be agile, cost-effective, and competitive. Every time, businesses that waited while a new ‘industrial revolution’ was taking place, lost out. Today, who will dare to disrupt instead of being disrupted? We are at the tipping point of digital transformation and there is no time left to sit on the sidelines – businesses need to jump in to a dynamic digital ecosystem and partner with each other through their industry’s digital exchange!
The Vodafone-Arm agreement expands on the previous collaboration which was on integrated SIM (iSIM) technology, a system on chip(SOC) design which can be reprogrammed with respect to the requirements. The iSIM allows customers to remotely provision and manage IoT devices across the globe which proposes reduced complexities and offers significant cost reduction.
To carry on the existing relationships this agreement is expected to bring Vodafone’s IoT global platformand Arm’s IoT software services to offer organisations a world of connected systems. This characterises a major initiative enabling a wide ecosystem of manufacturers to tap into the potential of trillions of connected devices.
Speaking on the subject, Ecosystm’s Executive Analyst, Vernon Turner thinks that “this announcement will help customers who look to and need a cellular-based IoT solution. Traditionally, mobile devices require a physical process to change their SIM (Subscriber Identity Module) card when there is a change of ownership or carrier, but in a world of trillions of connected devices, this is just not practical.”
Arm’s announcement of its iSIM is the latest in a series of announcements to resolve the size, cost, and scalability of SIM cards. SIM cards are critical for secure identity so the challenge has been to create a cost-effective IoT System On Chip (SOC) that has the SIM function embedded on it. Through its Kigen product family, Arm’s tech buyers will be able to build solutions on the latest cellular standards and specification suitable to run on 5G and backward compatible networks.
Vodafone’s customers will now be able to create a cellular-based IoT solution that can be continuously connected and deployed globally, giving them better investment protection and reduced operational costs. In addition, customers will have the choice of managing these devices through a ‘single pane of glass’ on either Vodafone’s IoT platform or Arm’s Pelion IoT Platform.
“Any time complexity is removed from an IT or mobile solution, customers respond by deploying and using that solution more” says Vernon. “ SoC-based solutions tend to have more functionality that allows for innovation, so we should expect to see an uptick in cellular-based IoT deployments”
Winner MWC2019 – Deutsche Telekom – IoT Solution Optimiser
IoT and Network Infrastructure Vendors
This section is reserved for a few players – Ericsson, Huawei, and Nokia share most of the pie around the network infrastructure. A suspicion of Huawei security and doubts on the Operator’s role in election outcomes can delay 5G deployments in Europe. The Americans and the Chinese have already placed their decisions.
Only Huawei granted me an opportunity to meet their VP, a friend of mine.
I tried several times to reach Nokia whereas I did not even try to reach Ericsson this year, I already heard its strategy three times in the last year.
By far, Nokia has gained in terms of its connectivity offer with Nokia Wing, the ecosystem and the use cases (somewhat more advanced than those presented last year).
Winner MWC2019 – Nokia – Nokia Wing
IoT and IT Technology Vendors
The technology behemoth Microsoft revealed its second-generation HoloLens AR and all I can say is that it left a ridiculous gap for IoT. Other IT giants such as Dell-EMC-VMware, SAP, Cisco, Oracle, SAS or SAG-Cumulocity did not showcase anything new.
Moving towards the System Integrators, they are not even expected at this fair in relation to IoT. Neither the Cloud, nor the Edge IIoT, nor the IoT Platforms, nor the IoT applications had any new ideas that could have attracted the interest of veterans and novices. Where are the millions of dollars going in the industry, which they say are being spent on IoT?
Winner MWC2019 – No Conclusión
IoT and Countries
Finding an IoT gem among the many tiny cubicles of various countries was similar to finding a needle in a haystack. To me, there was hardly any interest to go through the dozens of small companies that used this event as a stage to make themselves visible to the world. The umbrella allows them to be here but attracting visitors between so much noise and variety to their booth was a big and miraculous task.
Every year, I get in touch with IoT companies and know companies from Israel, UK, Sweden, Canada or France. However, this year to my surprise, I found an interesting company in the pavilion of Belgium. They have developed another league of IoT platform and I liked what they have achieved with Orange. They are my winner of this year.
My special regards to the Colombia pavilion and my friend Edgar Salas.
Winner MWC2019 – AllThingsTalk
IoT and Start-ups
I could not visit 4YFN, but I went to IoT Stars. My friend Marc Pous and his colleagues always do a great job, who comes as a jury every year. It was a good time spent with them over a beer while sharing impressions of the IoT and discussing new ideas to accelerate this market once and for all.
In my opinion, there was no great achievement this year and I still notice a gap in the Industrial IoT start-up space. Most ideas are like “Déjà vu” applications for Consumer IoT which reminds me of the post-years after the Internet boom. Much remains to be done here and it will take time for Universities to train innovators and entrepreneurs of IoT.
Winner MWC2019 – No Conclusión
P.S. The IoT Stars jury awarded two prizes
It does not matter; this Congress was as soporific as the Oscars ceremony but for some strange reasons I keep coming back every year. Although after the fiasco of 2019, my expectations were set to find progress and opportunities in IoT but considering the after-effects, I think next year I will reduce my stay to only two days.
It has become clear that the MWC no longer holds anything interesting with respect to IoT to attract visitors, exhibitors, companies. Instead, IoT enthusiasts should probably look to other – more focussed – industry events.
If you want me to cover anything specific on IoT from MWC,19 then let me know in your comments.
As large hardware manufacturers like Cisco, HPE, Dell and more are building specific, robust and secure infrastructure for the edge, it is believed that there will be a lot of money flowing in the IIoT Edge computing world.
The Development and implementation of Edge-Machine Learning solutions is a complex process and requires a combination of rich industry experience, knowledge of automation (PLCs, SCADAS, HMIs), electrical & mechanical engineering along with unique Edge Computing distributed system. This is used by Data Scientists to develop Machine Learning algorithms which can be utilised by IIoT applications in the manufacturing industry.
For organisations looking to implement these solutions, it is always a good idea to know more on adoption and ask for the continuation of a pilot project for more than a year.
Below are the top 5 things that one should follow to accelerate implementation of IIoT edge computing solutions in the Manufacturing industry –
1) Get help to find the needle in the haystack
With the fragmented ecosystem of IIoT vendors and companies talking about the Industrial Internet or Industry 4.0, the challenge that always appears in front of the customers is to ask for free pilots from the manufacturers.
It is not just finding the needle (IIoT best or cheaper solution) in the haystack (ecosystem), it is how this needle matches with your business and technology strategies.
I know, I am selling myself, but my recommendation to you is to get advice from independent IIoT experts.
2) Avoid OT Vendor Lock-In: We need machine data availability
Powerful Edge Analytics-Machine Learning applications require data exchange with the Programmable Logic Controllers (PLCs) of the manufacturers. By looking at the specifications we may think that it will be an easy task to extract the data from PLCs going through different ways or manufacturer’s help-guides. However, the problem is vendor lock-ins, most of the top PLC manufacturer’sdo not allow “easy” data access and extraction methods neither to the customers nor to any third parties.
It is not a question of protocols, it is a question of vendor lock-in and data availability.
Customers must seek and claim for open-source solutions to avoid vendor lock-in during the long run. The open source can better lead to the path of innovation in their manufacturing plants.
3) Edge Computing and Machine Learning: The last frontier to break between IT/OT
Edge Analytics is a key component in the integration of IT & OT and requires a knowledge of both to make it work. The lack of skills & knowledge in the IT and OT fields impact the business & operations and creates a dilemma on which department should lead the Edge Analytics projects.
Today, many cloud vendors offer IoT platforms and tools that combine the Cloud and the Edge application development, machine learning and analytics at the edge, governance, and end to end security. On the OT side, companies like Siemens have launched MindSphere, an open cloud-based IoT operating system based on the SAP HANA cloud platform.
Manufacturers should continue to deploy and develop Edge Computing – Machine Learning applications to monitor the health of their machines or to improve their asset maintenance or to monitor the quality control of their plant floor processes and shouldn’t stop because of the fear of the integration of their platform with the Public or Hybrid Cloud environment.
Edge Computing solutions help manufacturers to improve their competitiveness without the Clouds but make sure your Edge IIoT solution is ready for easy integration with the Clouds.
5) Connected Machines is the only way for new Business Models
Security is another major obstacle for the adoption of IIoT in the manufacturing industry. Manufacturers have been reluctant to open their manufacturing facilities to the Internet because of the risks of cyber-attacks.
In a fast-moving era where platforms and services require products and machines connected, every manufacturing factory should be able to tap into machine data remotely and make it available for Machine vendors. This requires every Edge Computing / Machine Learning system to be built with the capability to share data remotely via open and secure protocols/standards like MTConnect and OPC-UA.
Having machines connected is the first step to make machines smarter, to build smarter factories and to flourish new business models as Remote Equipment Monitoring.
The benefits of using Edge Computing / Machine Learning solutions are very attractive to the manufacturers because it offers minimal latency, conserve network bandwidth, improve operations reliability, offers quick decision-making ability, gather data, and process the collected data to gain insights. The ROI in such IIoT solutions is very attractive.
To get these benefits and to grace IIoT journey, manufacturers have to step-up and accept to receive tangible and innovative business value.
My return to CES, the Consumer Electronic Show, was something that I had been looking forward to for some time. After all, it had been almost 4 years since I attended the last CES when the Internet of Things (IoT) was the latest solution looking for problems to be solved. As an industry analyst whose passion for IoT is well known, I was frustrated at the weak offerings, poor quality demos and wasted money at the booths. CES had halls and halls of IoT ‘stuff’ that made little or no sense to me, with almost no chance of these startups being around in 2019. But, that’s what these shows are meant to do.
Roll forward to 2019 and my mission was very specific. I was only interested in two major things – 5G and autonomous/self driving vehicles. I was determined not to get soaked up in the awesome glory of 8K televisions, and kitchens that would even scare off Chef Gordon Ramsey! 5G has been positioned as the natural platform for IoT innovation – fast, high capacity connectivity for applications such as autonomous vehicles, video and medical services. However, at this year’s CES, it seemed that the technology world and the trade press had finally gotten into the same room and realized (just like IoT) that 5G can mean many things. To that point, businesses were keen to call their new technology offerings that can be called 5G, 5G. I could see history repeating itself – hype and confusion this year, followed by disillusion and disappointment next year.
Let’s start with AT&T. When is 5G not 5G – when it is 5G E? AT&T insists on using the term 5G for its advanced 4G LTE network. I assume that if AT&T’s commercials say that 5G E is 5G then who are we to doubt them! In my humble opinion it is misleading and muddies the waters into convincing customers that they already have 5G. (By the way the ‘E’ stands for Evolution, or as one journalist put it “it’s a work in progress towards 5G’. Other global operators also made claims that they too were the first to market or the first to have a customer. However, 5G from a marketing aspect was a bust at this year’s CES. It was supposed to be a leading theme, but in reality it lacked reality. Perhaps selling to consumers is easier than selling to enterprise customers who know that 5G will require an upgrade of the entire network infrastructure, which in turn will take time.
Despite the marketing and messaging confusion, 5G is the underpinning technology of some very exciting technologies being shown at CES – in particular in the transportation industry. Here there was proof that progress has been made in the last 4 years. It was clear that core technologies such as mapping and location tracking have made it possible for the auto industry to think about services both inside the vehicle and outside it. Companies such as TomTom, Naver Labs and HERE showed the levels of progress that they have made in navigation, mobility services, and fleet management. Adjacent technologies for EV (Electric Vehicle) combined with advanced high quality mapping, make it possible to know better where to recharge and how to accurately navigate highways as efficiently as possible.
Innovation in this space takes on a new meaning when the vehicle isn’t a concept car, but rather a fully laden truck. At CES there was no shortage of trucking companies showing off their highly connected vehicles. For example, Paccar Inc., the parent of Peterbilt Motors Co. and Kenworth Truck Co. had an exhibit that featured a pair of battery-electric Peterbilt models and a hydrogen-electric truck from Kenworth and Toyota. Autonomous truck startup TuSimple also returned to CES, where it offered demonstrations of the sensors and machine vision behind its self-driving technology and announced plans to expand its US fleet to 40 trucks by June.
At CES, autonomous vehicle concepts from all of the global car brands were on display. Typically the German and Asian manufacturers showed a wide range of vehicles that continued to look like ‘travel pods’ or people movers rather than traditional automobiles, while US-based brands tended to focus on the infotainment services within the car. In summary, CES’s auto offerings showed that there is a very strong ecosystem of partners determined to change the way that we get from point A to point B in a safe and sustainable manner. In parallel, the ability to extend vehicle ride sharing across multiple modes of transportation including bicycles and helicopters (Bell’s Nexus product) is driven by high speed, real-time and accurate data fed from thousands of intelligent sensors.
In conclusion, CES confirmed for me that despite the technical greatness of 5G, telecom operators continue to appear to be lost in their positioning of the product. Part of this may be stemming from the significant investment and consequently the risk of return on that investment. Part of it may be – like IoT – defining what 5G is really all about. Early IoT success stories have shown that it’s as much about positioning the business value around the data as it is about connectivity. Finally, CES showed me that while fully autonomous driving societies are several decades away, the strong industrial ecosystems that exist today are making significant progress towards that future.