IoT hasn’t lived up to its hype but that doesn’t mean it can’t deliver value. The question for most organizations is how to use IoT for more than delivering better data and minor efficiency improvements. This requires rethinking business processes. Recently, SAP asked me to share my thoughts on this topic for their SAP Insider audience. Below is a link to the podcast that describes how equipment manufacturers can use IoT strategies to deliver new business value.
Interview with IoT Expert Maribel Lopez
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If you’d rather read the podcast, the transcript is below.
Hello and welcome to the SAPinsider podcast. I am excited to be joined by Maribel Lopez. Maribel is the founder of Lopez Research, a market research and strategy consulting firm. She’s also the co-founder of the Emerging Technology Research Council, a community of business and technical leaders in Fortune 1000 companies focused on driving innovation and business value with mobile, cloud, IoT, and advanced analytics solutions such as machine learning. Maribel is the author of the Wiley book “Right-time Experiences” and a contributor to Forbes. Her clients range from start-ups to global firms, including 5 of the Fortune 20. Prior to founding Lopez Research, Maribel gained her expertise by working at Motorola, International Data Corp., Shiva Corporation and Forrester Research. Follow her on
Twitter @MaribelLopez and on Forbes.
Maribel: Thank you for having me.
Matt: What is the internet of things?
Maribel: Great question. The internet of things can be really any connected device. The importance of IoT is that it is connected and it can transmit data. It could be as simple as a thermostat in your home or as complex as the instrument board in mining equipment. They are really all about connectivity and delivering data.
Matt: How are manufacturing companies and other businesses using these connected devices to generate data?
Maribel: I think the move to an IoT connected device strategy really provides a lot of great opportunities for manufacturers and businesses in general. One of the things we are seeing is that if you are a manufacturer, you can gain operational insights and improve your product quality by connecting your hardware.
A second thing we see happening is you can improve the customer experience with connected services. I think that is across all kinds of companies. This could be in terms of the pure looking at connecting something that is in the home, if you’re connecting equipment that is for business, or just in terms of building applications and connecting to things that happen in your cell phone. Really, this concept of improving the customer experience, whether it’s a consumer facing product or a B2B facing product.
Then, I think the third opportunity is deriving new revenue opportunities by serving customers in new ways. I think this quite applicable in the manufacturing and equipment space because instead of just building a product and selling it, you have the opportunity to now offer a set of services around it.
Matt: For equipment manufacturers, what are some specific use cases for what they can gain from an IoT evolution?
Maribel: For equipment manufacturers, there really quite a few things they can gain, but I think it comes down into a couple of categories that are really super important.
The first one is being able to baseline equipment performance and improve the future product design. In the past, it was very difficult to collect feedback on how the products were working and how the customers were using them. Now, you can sensor enable a product, you can understand its performance, you can understand its utilization. That can allow you to create a baseline of future iterations of that product. It can be better in terms of cost of repair, it can be better of terms of making it easier for the customer to use.
I think the second thing everyone is quite concerned with is you need to have a quality product in this day and age. Quality is one of the key factors of customer experience and basically product repurchases. In order to do that, you need to create some lead indicators that can indicate failures. You want to understand if a piece of equipment is going to fail before it fails and be able to alert the customer, be able to order a part, send them some information. Whatever needs to happen so that customer doesn’t experience any downtime. I think creating these lead indicators to prevent equipment failures is a very important aspect that IoT can help with.
The third part is combining your data with third party data to enhance your products. Let’s say you an air conditioning manufacturer and you can actually hook into weather data and in a building you can help control the environment based on if its hot or cold, based on how the heat is hitting different parts of the building. Connecting the third party data and using your sensor data combine to deliver a better, more enhanced experience for your products.
Matt: You mentioned how IoT can change the customer experience for manufacturers. Is there any chance in how, with IoT data, manufacturers are changing their supply chain model, with regard to their customers?
Maribel: When we look at the supply chain and IoT, they are a match made in heaven. One of the things that is really important for an equipment manufacturer is to understand how parts are performing and if they are performing poorly and they need to get a new part, understanding where those parts are in the supply chain and how to actually integrate that so you can have just in time repairs or even just in time manufacturing. So understanding perhaps the history of what that part has been performing at. If you have tires, what’s the actual wear and tear, the real mileage on those tires, how often you would have to change things out. All of these are very important to making sure your supply chain runs extremely efficiently and you have the right goods in the right location when you need them.
Matt: For a customer facing IoT strategy, what should manufacturers focus on to ensure their customers benefit from the better data?
Maribel: Obviously when manufacturers are gathering data, they want to make sure that this data is useful to the customers. One of the things they are trying to do is improve the operational visibility, understanding with things such as remote monitoring how they would have to do repairs and services. How they might help the customer optimize the use of the equipment.
This is data that really didn’t exit for the customer before. It was either on/off or break/fix. Now there is an opportunity to have a partnership with the customer where you are actually advising the customer on how to make more use of their assets, on how to make sure their assets have better uptime, and how to basically prevent things such as unscheduled maintenance or downtime. What you can really do is effectively schedule things so that the customer is always operating at its most efficient. This really creates this type of partnership where you want to do more business and work to building new business models with the customer.
Another thing I think is really important in terms of this operational visibility is that if you do have a service call, you want to make sure that these service calls are done efficient way. You want to send somebody out for repair, they don’t have the right part, they don’t know what’s wrong with the equipment, and they are spending a great deal of time just figuring out what the problem is. You want to eliminate that understanding of what the problem is and just say “Ok, we already know what the problem is, we know how to fix it. We are here to help, we are going to get you up and running as fast as possible.” That is the type of service call someone wants to have., which is very different than what we’ve had in the past. That helps in terms of minimizing unnecessary downtime, but it also really helps in that partnership with your client to say “We understand your needs, we are servicing your needs in the most effective way.”
Matt: What are some ways manufacturers can leverage IoT strategy to increase sales?
Maribel: Right now, when you look at manufacturers, they are selling a product. They might be selling that product one time and they might sell it with consumables, think of the razor blade model. You need razor blades with a razor. We can actually go a lot farther with IoT. One of the examples of that is moving from just building and selling a product to delivering equipment as a service to compliment your existing product sales. Its not just the concept of leasing equipment, it’s the concept of delivering something as a service. It’s not just a railroad car, but it is train service. Its not a jet engine, it is hours of flight uptime. You are working with the customer to figure out what is their actual need, how are they going to utilize this, and how can you provide them with ongoing service which gives you an ongoing revenue stream.
The other thing that is interesting about this is, it also means you are constantly updating and evolving the product, so that they get new features. That creates a stickiness with your customer. Instead of just selling them something once and then maybe five years later they come back and they are in a competitive bid and its you against someone else and it comes down to price. You’ve now created a relationship. You’ve created a service cadence. They are invested with working with you and you are invested in making sure their products are always up to date.
Matt: Are there any opportunities to generate revenue from the data that IoT devices are generating?
Maribel: You’ve actually amassed a great deal of data and that data in aggregate can be very valuable and you can start to look at data as services offering. So, for example, if you are in farming equipment, you might look at a connected products strategy that says I’m going to take the data from the farming equipment, I’m going to take all this information about soil, I’m going to take information about yield, and I’m going to put that all together and that delivers a piece of insight. That insight can help farmers understand how to have better yield with their crops. That is valuable insight and that is insight that people will pay for. That is the goal of taking the IoT data and perhaps integrating some of that third party data that might have been weather, soil conditions in specific areas. Pulling all that together and saying “OK, I’ve now analyzed this, I have some insight about how you can have better performance in your business” and that’s a data as a service offering.
I think you start by connecting equipment, I think you then move into a remote management monitoring and as a service strategy as a second stream of revenue, and then your third stream of revenue is delivering actionable insights to your customers that use big data and analytics tools, that leverage the power of cloud computing to deliver dashboards and visibility and control. These are some of the new models that I think equipment manufacturers can benefit from if they embrace an IoT plus cloud strategy.
Matt: You mentioned the cloud. Is this one the technology upgrades that are needed to prepare for a move to IoT?
Maribel: I think every company, regardless of whether or not they are a manufacturer, needs to think about how cloud computing can impact their strategy. Cloud offers many things. It offers a way to have highly scalable infrastructure. It offers a way to have new platform as a service that can deliver new skills into your cloud services, maybe this is some of that third party data we talked about. It could be calculators, development tools, middleware, machine learning services, there is just a wealth of platform as a service that is on top of the infrastructure that you can access and those two things combined create a tremendous amount of agility in your business and in your backend infrastructure. That agility in your backend infrastructure is going to allow you to think more creatively about how you deliver products and services.
Its also going to provide you with the ability to provide a front end to your customers and connection to these new services that we talked about, where’s their data going to go, how’s it going to be analyzed, how are you going to provide them dashboards. All of that is something that can be impacted positively by a robust cloud strategy.
Matt: Why do IoT deployments fail?
Maribel: There are so many reasons IoT deployments can fail but I think a couple are at the top of the list. The first is connecting is not enough, you can connect your equipment, but you really need to think what is the business goal and outcome I’m trying to generate by that connection. What data am I going to collect, how am I going to analyze that data, what new services am I going to provide as a result of that data. Once you have what I call the “what”, the what or the why. Why am I connecting this and what am I going to do once its connected. Then you have to figure out the how.
A lot of people fail with the what, they spend all this time thinking about how to get devices connected as opposed to what am I going when I connect them. Then, if you know what you’re going to do when you connect them, its only then that you select the right services. Trying to figure out what products and services you need before you understand what services you’re going to deliver makes it very challenging to pick the right solution. You might pick the wrong platforms if you don’t know exactly what you’re doing.
I think having that coordinated strategy of understanding what you’re trying to deliver and then, making sure that you can actually connect that with your existing infrastructure. You got supply chain management, you got enterprise resource planning, you got finance, you have all these systems in your organization that you also need to make sure integrate into your new IoT stack. How do you do that? These are questions that I think people have to be very conscious of when they are selecting.
The other thing is that IoT is really an ecosystem, so you don’t just roll up to the market and buy IoT. You actually have different pieces and you have lead vendors that work together to provide you a solution. It could be your cloud computing provider with your SCM ERP provider combined with a specialized fast software company that does building automation and industrial controls, for example. So these all need to come together and be integrated to deliver an end solution.
Matt: As we finish the podcast, what advice would you like to give customers when creating an IoT strategy?
Pick a business problem that matters, something around generating revenue or improving the product quality and customer experience or reducing the cost. You could have a scenario where your equipment is failing all the time and a connected product strategy could help you find out what’s wrong with that and how to fix it before there are critical issues.
So job one is to pick a problem that matters and then job two is to design solutions and technologies around that problem and expand from there. You need to land with one strong key project, get a quick win, and evolve into multiple things that could transition your business.
Manufacturers in every organization are struggling with the concept of innovation and not just innovation for innovation’s sake, but innovations that matter. How do you get to innovations that matter? Well you could sit in a room or you could gather customer feedback. How do you gather that customer feedback in a way that is quantifiable and fast so that you can act on it in a quick and meaningful way? One of the things that’s great about a connected product strategy is it gives you that data and insight into what’s happening with the customer, what happening with the product, and then you can match that against the market to figure out if you’re competitive or not and what might be the next thing that you move in your innovation cycle, how do you prioritize that innovation cycle, and this data that you get can help you do that.
Matt: Thank you for your time today Maribel. Listeners, you can learn more about this topic by reading the new report by Lopez Research, “Driving New Business Value with Connected Equipment” .
Maribel: Thank you so much for having me.
Intel’s Movidus Myriad X Chip Source: Intel
Early examples of machine learning and artificial intelligence surround us today, yet we don’t think of it as such. It’s how our voice messages get transcribed. It’s the algorithms that surface the right information for internet searches. It’s the technology that fuels how Amazon and Netflix make recommendations for us. Machine learning and AI are the foundations for voice and digital assistants, such as Amazon’s Alexa, Microsoft’s Cortana, Apple’s Siri and Google’s assistant.
Vison-related machine learning is also prevalent in our day to day existence through features such facial recognition for tagging on Facebook and discovering funny cat videos on YouTube. While voice assistants garnered all the media attention recently, vision-related machine learning solutions have rapidly evolved. Intel’s AI group’s latest announcements highlight an example of this fast-moving progress.
Intel’s Movidius team, part of the new Artificial Intelligence Products Group, announced the third generation of its Vision Processing Unit (VPU) platform called the Myriad X family in late August. The Myriad X platform is a computer vision system on a chip (SOC). The architecture includes a neural network compute engine, which provides the onboard power necessary to support machine learning deep learning and artificial intelligence applications. The architecture offers imaging and vision accelerators to be used for items such as stereo depth, feature extraction and warp/dewarp.
The result of changes in the platform is an overall 10x improvement in the available floating-point performance on DNNs compared to the previous generation. These means faster, more granular and precise image recognition for applications where it matters such as autonomous driving.
This announcement follows quickly on the heels of its July launch of the Movidius Neural Compute Stick, a USB-based development kit for ultra-low power embedded deep neural networks. It a deep learning accelerator and development kit that enables deep learning inference and artificial intelligence (AI) applications at the edge. It can be used to add vision processing capability to low-end computing environments, such as Raspberry Pi. It’s nearly one year since Intel’s acquisition of Movidius, and it’s good to see the company launch two new products within this timeframe.
What does this mean for a company’s digital transformation efforts?
Faster, more accurate vision processing can improve multiple business cases. Remi El-Ouazzane, Intel’s Vice President of the New Technologies Group & General Manager of Movidius, said he believes vision can improve every industry but outlined four clear near-term use cases where VPUs can be deployed today that include drones, augmented reality, security and surveillance as well as robotics.
Each of these applications employs multiple Convolutional Neural Network (CNNs) in parallel. CNNs mimic the biologic structure of human sight and use relatively little pre-processing compared to other image classification algorithms. The CNN network learns the filters that in traditional algorithms that previously had to be designed by data scientists.
The marketplace needed a new type of vision processing because real contextual services require companies to aggregate, analyze and act on new sensor information at the edge. For this to work, you need a low powered hardware, cameras, enhanced algorithms and cloud services. Technologies like Myriad X and Intel’s Nervana allow business to embrace vision as a contextual element.
What does it mean for Intel?
PCs and mainframes rule computing but as the IoT market unfolds the number and type of connected computing devices have proliferated. It’s not enough to just provide a connected device in this new world of Internet of Things (IoT) and AI. Devices need to be smart as well. Part of being intelligent requires the ability to process a certain amount of data at the edge where it’s created and integrate that data into business workflows. It makes sense that Intel would focus on this technology because VPUs, deep learning and AI are the foundations for the next generation of connected computing.
However, it’s still early days in this market, and Intel’s not alone. AMD and Nvidia have their take on the machine learning, deep learning and contextual computing landscape. This competition will keep innovation flowing in the space.
This article was originally posted on Forbes.com.
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IoT connects everything from power plants to toasters
The IoT market has matured over the past three years. Industry leaders are IoT-enabling the business using connected devices, cloud services and analytics to build faster, smarter business processes. These data-enriched processes will improve employee productivity, deliver operational efficiencies and provide new revenue opportunities. Over two-thirds of the IT leaders that Lopez Research surveyed listed understanding IoT’s impact on their business as one of their top strategic IT initiatives for 2017. However, less than half of the companies that Lopez Research surveyed have a documented IoT strategy with clear use cases.
Do you have an IoT strategy?
Every business must rethink its overall operational and information technology strategy to maximize business value from the IoT. Companies must optimize existing business processes with IoT data and create new workflows to drive the business forward. IoT strategy was the topic of a recent ebook from SAP titled Insights on the Future of IoT where TopRank Marketing asked 21 Digital Transformation influencers, to provide their thoughts on the future of IoT and its impact on various businesses.
The answer is tricky because the use cases and technologies vary dramatically across industries. The wonderful thing about IoT is that it isn’t limited to one type of business or vertical. Every company can benefit from IoT use cases such as improved asset utilization, predictive maintenance and security threat prevention.
I’m most excited about the potential for businesses to create new business workflows by using data from their own internal sources and data mashups with third parties for information such as weather, traffic, pricing and customer sentiment.
There are many excellent points in the ebook that you can read here. For example, Dion Hinchcliffe, the Chief Strategy Officer of 7Summits, discussed how IoT changes the customer experience. Meanwhile, Yves Mulkers, a Data Architect for 7wData, discussed how IoT could improve industries such as travel and agriculture. In my opinion, one of the greatest benefits of IoT is that machines can talk to people in a meaningful way, requiring product makers rethink how every aspect of engagement from sales through support.
Companies approach IoT in various ways
While there’s no single answer to the question, there are at least three ways that Lopez Research’s enterprise clients are approaching IoT strategies. These plans include using the IoT to:
- Deliver faster access to existing data. Before mobile and IoT, data was locked in systems that required a person to monitor and manage a device at the equipment’s location. Today, connected devices can talk to systems and individuals. For example, retailers can have up to the minute access to inventory availability and supply chain tracking. A plant manager can view alerts and decide on an action while walking the manufacturing floor. And a telecom provider can analyze network issues in real-time to respond to customer support call.
- Improve business with access to new data. In many cases, IoT provides the opportunity to create new business processes and workflows by providing a company with information it didn’t have in the past. For example, Coca-Cola connected its Freestyle machines allowing the company to reduce stock out, understand buying behavior and even provide a new service that allowed its customers to create customized beverages.
- Transform the business with new workflows and business models. IoT offers the opportunity to disrupt industries with new services and business models. One example is how GE has moved from selling jet engines to selling uptime. Another is an extension of an existing model with a new twist, such as an elevator company using IoT to deliver remote monitoring and improved field service.
Fortunately, the industry hype has led to new IoT platform and point solutions from a wide range of established vendors and startups. While a company can’t become an IoT-enabled business overnight, it can build a foundation to support better workflows and fuel business growth with a phased IoT deployment. We’re at the beginning of an exciting journey.
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The Enterprise of Things (EOT) Spells Opportunity For BlackBerry
BlackBerry made several announcements in favor of its expanding security and services portfolio, in the quest to further shed its device legacy. Like other mobile management vendors, BlackBerry has expanded its services to offer unified endpoint management (UEM). BlackBerry’s UEM will allow companies to support corporate and Bring Your Own Device (BYOD) programs for mobile devices as well as Windows 10 and MacOS computers. Part of the announcements also extended endpoint and software management for new workforce devices such as wearables. In its press conference, BlackBerry highlighted support for enterprise devices such as the Recon Jet Pro.
On the application front, a partnership with Microsoft will enable IT to manage and apply protection policies to Microsoft Office 365 mobile applications such as Word, Excel, and PowerPoint from BlackBerry UEM. Mobile app support got a boost with new analytics capability will allow developers to track daily and monthly active users, daily minutes used, usage by OS type and version, as well as user engagement by feature. Additionally, the company updated its collaboration secure Enterprise File Synchronization and Sharing (EFSS) solution, called BlackBerry Workspaces, with in-line comments, @mentions and alerts. It also integrated DocuSign for signature capabilities.
Why EoT is important for Blackberry
As noted in the BlackBerry press release, the next wave of connectivity and change lies with the Internet of Things (IoT), which refers to a growing network of physical objects that have sensors and Internet connectivity. IoT efforts that focus solely on enterprise-related devices are called the EoT. With billions of connected devices coming online, BlackBerry’s real market opportunity lies in services to support connected things for the enterprise. Beyond the obvious reason that IoT/EoT is the future of computing, this market could help BlackBerry return to growth because:
- There’s no predetermined leading vendor in the EoT space. The EoT refers to numerous use cases, products and vendors that vary across different industries. Given the diversity of the market, BlackBerry could win business by partnering with established vendors in the industrial space such as Schneider and Rockwell.
- The buyers extend beyond IT for IoT/EoT use cases. Roles such as plant manager, facilities maintenance and logistics managers are new buyers for EoT services, providing an opportunity for BlackBerry to reach a new untapped audience.
- BlackBerry already has IoT/EoT products and customers. The company has purchased several IoT companies. For example, BlackBerry’s QNX line delivers secure, mission-critical solutions for general embedded, automotive and connected transportation systems. The company’s software operates in areas as diverse as automobiles, surgical equipment and nuclear power plants. These markets have the high security and reliability. It also offers an asset tracking and health service called Radar.
Moving beyond UEM to real EoT
UEM is slowly gaining traction as organizations look to support Windows 10 environments. All of these features are necessary to compete in the UEM space but is that enough for BlackBerry to be successful in such a competitive market. My theory is that UEM is table stakes for anyone entering the EoT space, but it’s not the end game. Given the company’s early EoT success, Blackberry should spend more time marketing its EoT knowledge as a long-term differentiator, but it also must push the ball forward in EoT. VMware is already nipping at BlackBerry’s heels with its recent announcement of the EoT management service.
So, how can BlackBerry deliver more value to its customers? It must continue to ramp its solutions business. Today’s EoT environment is a complicated set of technologies that need to be deployed and integrated as a solution before EoT can deliver business value. For example, a typical EoT solution contains connected devices, analytics, and software that can consume the data before a customer can gain new insights into their operations.
With this in mind, it’s clear that managing and securing EoT devices is important, but not enough to be considered a strategic EoT play. Products that offer immediate insight, such as asset tracking, workforce optimization and logistics will provide the value to purchasers. Note, I didn’t say another “platform” for connecting devices. The market has plenty of platforms that connect data but stop short of delivering insights. BlackBerry already launched a solution called Radar for asset tracking, but it needs to add more services, faster. The company has also focused on delivering a broader security portfolio that complements its other EoT initiatives.
IoT/EoT is a difficult market for any vendor to crack. BlackBerry will need to acquire, partner and enhance existing market solutions to drive EoT efforts forward.While the EoT has reached the top of the hype cycle, actual deployments are nascent, suggesting a huge opportunity for any vendor that can come up with the right stuff. Keeping UEM current is essential for BlackBerry, but it needs to aggressively define a new EoT future for its clients that’s beyond what companies like Microsoft and VMware are discussing with UEM. It will be interesting to see how the next chapter unfolds.
This post originally appeared on Maribel’s column at Forbes.com. Sign up for my free newsletter here so you’ll never miss a blog, video recording or research note. Maribel is the founder of Lopez Research, a market research and strategic advisory firm. She’s the author of the Wiley book “Right-time Experiences” Twitter:@MaribelLopez
The platform includes modules such as IoT, analytics, machine learning and blockchain
The IoT market is an ill-defined, nebulous space. While the industry refers to it as the IoT, it isn’t a single product. In reality, the IoT refers to numerous use cases and products that vary across different industries. For example, a mining company and a hospital can both benefit from predictive maintenance, but the problems and implementations are completely different.
A successful IoT implementation requires a coordinated technology and business process transformation strategy. The business process improvement strategy is often overlooked as the technology teams jump into the nuts and bolts of deploying a set of IoT tools. Technology-first thinking is precisely what leads to failed implementations. Companies, fearing they’ll be left behind, have rushed to purchase various IoT components — such as sensors, hubs, and platforms–before the business has defined the problem it’s trying to solve. Leaders in the space have sought out use cases where IoT will improve employee productivity, deliver operational efficiencies and enable new revenue opportunities.
The IoT requires more than one technology change
Once a company defines a set of potential business outcomes, the real fun begins. IoT deployments are anything but simple. Information and operational technology leaders face a morass of vendors, products and integration issues. At a minimum, an IoT solution requires multiple layers that include:
- Connected devices and communications. The IoT vision requires connecting existing and new equipment with sensors. Additionally, there are many wireless connectivity options such as 3G, WiFI, BlueTooth and LPWAN. A complete list of IoT protocols can be found here. Most organizations get hung up on this first stage of defining the proper devices and connectivity options.
- A set of connection platform tools. The first iteration of IoT platform solutions was a hub that could connect to data from multiple devices that used different protocols to communicate. Today a broad set of IoT software platforms solutions exist that include items such as device management that focus on configuring, provisioning, troubleshooting and operating the endpoint devices. Like mobile device management, IoT device management supports monitoring, testing, updating software, and troubleshooting connected devices. Wired and wireless connection management must be part of this suite. API management is necessary for connecting to device data and linking this data to applications and system of record/engagement. This layer continues to evolve rapidly.
- Big data storage and analytics. IoT creates a multitude of new information that varies in volume type and frequency. Connecting and collecting sensor data is useless if you don’t have the right solutions to manage, analyze and create meaningful insights from all this data. Business must decide what data needs to be analyzed in near real-time versus batch processed. The tech team must also define what data will be analyzed centrally versus locally. In some cases, companies will need to balancing marketing’s desire for personalization with the need to maintain the privacy and confidentiality of a user’s data. Once you’ve corralled all of this data, a company also needs to design a long-term machine learning strategy to understand patterns.
- Security. In a recent Lopez Research study, security topped the list of IoT technology concern for 2017. Companies need a security strategy that extends from the IoT devices through the application layer. This will require multiple software solutions. In some cases, the endpoint IoT devices can’t run security, such as embedded encryption, and companies will need an edge gateway to act as a security intermediary.
- Applications that use the data & analytics insight. Once companies have collected and analyzed IoT, this data needs to be integrated into a company’s existing systems of record and engagement to create need insights and opportunities for action. For example, a cold supply chain solution can be redesigned to use IoT data such as temperature and humidity to have fact-driven information on product health through its distribution. Many IoT deployments fail because application integration strategies were an afterthought.
SAP aims to help companies run IoT simply with Leonardo
As you can see, there is a mixture of business and technology decisions that need to be coordinated for an IoT solution to deliver value and market differentiation. On the technology front, vendors are racing to deliver more comprehensive IoT solutions to minimize customer’s implementation woes. Enter SAP’s Leonardo. At the company’s annual SAP SAPPHIRE and ASUG group meeting, a variety of executives took the stage to help SAP’s customers understand how AI, IoT and cloud computing were changing the company’s products and the future of computing.
The company’s CEO, Bill McDermott defined digital business as intelligently connecting people, things and businesses. The conference keynotes showcased how SAP was making efforts to live up to the corporate tagline “Run Simple”. While SAP made many announcements, the bell of the ball was the Leonardo system, which it defines as a digital innovation system. SAP’s Leonardo, not to be confused with the famous polymath Leonardo da Vinci, was clearly chosen as a name to invoke visions of a multi-disciplinary platform that can help its customers achieve IoT success. The sheer volume of products in SAP’s Leonardo highlights the growing complexity of designing an IoT solution.