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Throughout our ten years of working with equipment manufacturers to connect, collect, and integrate operational data with enterprise systems, we’ve seen many trends impacting industrial IoT project success. The world has finally moved beyond most of the technological limitations for building innovative solutions. All the necessary tools exist to create connected product systems that perform as expected. They work. Now there’s a new trend, and it’s not a good one. We’re seeing business teams at equipment manufacturers telling engineering managers and IT leaders to evaluate and choose an IoT platform for the company. Run an online demo. Read API documentation. Build a proof of concept. Compare prices. Most of these projects never see the commercial light of day. They get stuck. Why? They get stuck because this approach to digital transformation is completely backward.

Evaluating the IoT Platform Problem

We’ve said technology isn’t the problem. Here’s the reality. The right technology for your system is available today. When used correctly by experienced teams, it will produce your desired outcomes. This is a well-charted territory. You can have remote monitoring with predictive maintenance and integrate machine data with your business workflows. These are solved challenges.

Source de l’article sur DZONE

To understand the current and future state of IoT, we spoke to more than a dozen IT executives active in the space. Here’s what they told us when we asked, "How can organizations get more from IoT?"

Use Case

  • We’ve seen a lot of B2B implementations with high novelty, smart devices of every kind. There needs to be a legitimate use case. With the continued miniaturization of sensors and devices and the proliferation of 5G, there will be plenty of compelling business problems for IoT to solve. 
  • We are making the transformation from just connecting things and getting data to now figuring out the problem we’re trying to solve. There’s a data explosion. We need to determine how to manage and get value from the data. You need to think about business first. What business problem are you trying to solve? Play the “what if?” Dream ask the big question and put in business metrics. Align people from the technology with the business needs and the business partners. Quantify the business value. Identify the vision, strategies, goals, and hypotheses to validate. Have a clear destination. 
  • I think companies can get the most out of IoT if they start by looking for problems or opportunities that can be addressed by IoT technologies like a temperature monitoring system with alerts or remote control capabilities. Too often, companies look at the products or solutions on the market first and then try to think of ways they could apply them. It’s generally just faster and more productive to go after solving a well-defined issue first — and besides, building some expertise and practice in implementing IoT, it often leads to faster wins and a sense of momentum. 
  • In order to get the most out of the IoT, companies should focus on two things: leveraging most of your technology and building a true revenue model. For example, are you leveraging your data in the best ways? If not, what can you adjust in your business model to ensure you are properly leveraging that data. Companies also need to ask themselves: can I create a business model around connectivity that justifies the recurring cost incurred by connected devices? Many companies work backward by imagining the connected product first, and then the value proposition. These IoT projects are hardly ever successful because the company never took the time to fully understand the problem they were trying to solve. Simply adding an Internet connection to your widget doesn’t mean your business will make immediate profits. IoT products come with significant ongoing costs — web infrastructure, networking, and other connectivity and data-related costs. If you can’t justify the added value to your customers, those costs will eat away at your margins. The most successful IoT products are those that deliver recurring, continuous value for your customers (and recurring revenue for you). Companies are finding ways to deliver this recurring, continuous value by using IoT for preventative maintenance, asset tracking, and environmental monitoring. These are business models that not only contribute back to the business but help the customer as well.

Value of Data

  • One thing IoT companies don’t realize is how valuable their data really is. Take a home automation company. The amount of data streaming through their service is staggering — temperatures, energy usage, humidity, the list goes on. They can take that data, turn it into a data firehose, and make it consumable as a business in itself.
  • 1) Think about short-term design to feed into the long-term. Value comes from applications and services that make use of the data. You need to address a real business need and be able to generate the real value, which is to sell and make money.
    2) In the long-term, you need to be able to support and scale. That’s where standards and open source come in. Devices needed to get smart and detected aren’t real expensive. Make sure you have a support structure to manage the cost so as not to eat up benefits. Right now, every time you get a new IoT device, you get a new app for your smartphone. That doesn’t scale; hence, we have a need for standards. You need to be able to bridge to other ecosystems.
  • Connect the data to the problems people have. Five years ago, we focused on the data but didn’t gain traction until realize how data impacts the people in the industry. Business improvement and optimization software — how it impacts the people in their day-to-day life. If you don’t make the connection, you won’t get the adoption.

Other

  • The main benefit that APIs bring is the ability to stitch together IoT deployments within a wider ecosystem of other applications and capabilities across the business. When IoT assets are exposed internally as APIs, they form part of an application network, which provides a way of connecting IoT capabilities with other applications, data, and devices. In this model, these assets are reusable across the business, removing the need for IT to create point-to-point connections for every IoT deployment. As such, APIs become the ‘digital glue,’ providing a future-proof way of combining IoT with other business systems to create a rich ecosystem that gets the most benefit from IoT deployments, all within a secure-by-design approach.

    Source de l’article sur DZONE

In this ever-growing network of physical devices, Internet of Things (IoT) has become much more realistic, with smart devices that allow less human input and more machine output. Today, it is very much a reality that smart home hubs, wearable devices, connected cars, industrial Internet, smart retail, and many more consider IoT for functionality. 

The desktop apps, servers, and mobile apps use some programming languages that are more or less the same. So it makes us believe that there is no difference in smart objects as they are like minicomputers. IoT comprises of a three-tier architectural environment that consists of generating the data, organizing the data by the local gateways, or hubs and centralized servers that are geographically distant where all the data ends up.

Source de l’article sur DZONE


Creating the Perfect End-to-End IoT Solution

If you are building an Enterprise IoT application, you need to make sure that it is easily managed, scalable, and performant. InfluxData and Particle bring to you a powerful end-to-end IoT ecosystem where you’ll benefit from faster time-to-market, lower startup costs, easy scalability & maintained performance for your IoT application. With a combined community of over 280,000, these two popular tools will help you gather metrics from your IoT devices and sensors to help you successfully manage your devices.

In this webinar, David Simmons from InfluxData and Jeff Eiden from Particle will provide you an overview of this solution with a detailed step-by-step instruction on how to get started!

Source de l’article sur DZONE

Last week, I attended the WIRED Smarter conference in London and wrote an article about a presentation from the Energy track that explained how Google is using DeepMind to reduce energy consumption in its data centers.

My favorite presentation of the day came from Maria McKavanagh, the Chief operating officer at Verv, called “Creating a new energy marketplace that’s powered by data,” and brought together machine learning, IoT and blockchain.

Source de l’article sur DZONE

“Smart but insecure” sounds like you’re talking about a high achiever who needs therapy.

Which you could be. But in the online world, it applies to semi-animate objects — the hundreds of millions of devices in American homes that are, at one level, smart.

Source de l’article sur DZONE

This article is part of the Key Research Findings from the 2018 DZone Guide to IoT: Harnessing Device Data.

Introduction

For this year’s DZone Guide to IoT, we surveyed 522 software professionals on various aspect of the Internet of Things. From this data, we’ve created an article around the potentially waning popularity of IoT development. 

Source de l’article sur DZONE

Finance is probably one of the first fields to adopt innovations. These days, IoT, AI, and blockchain are the technologies reshaping multiple industries, especially FinTech. AI solutions attract immense investments and for the right reasons. Analysts have counted that Artificial Intelligence is going to save the industry more than a trillion dollars (!) through the year 2030.

How exactly are financial institutions planning to leverage AI? Is it already a part of the processes? Skelia dug into this issue.


Source de l’article sur DZONE (AI)

Along with AI, IoT is changing the expectations of consumers. With that, this growing technology will forever change the way that businesses operate. The initial uptake of interconnected smart devices was slower than anticipated. But, the demand for the technology is now developing at a rapid pace. That demand will implement new pressures on businesses. It will also provide businesses with new opportunities. Here are some of the ways that the Internet of Things will impact business.

What Is the Internet of Things?

The simple definition of the Internet of Things (IoT) is the interconnection of devices over the Internet. It allows devices to communicate with us, with applications, and with other devices. The technology has been demonstrated with the advent of smart home appliances. It’s the Internet of Things that now allows us to control our home heating, lighting, sprinklers, and other appliances from our phones with solutions like Apple’s HomeKit.

Source de l’article sur DZONE

The deployment of IoT in the oil and gas industry ensures better field communication, real-time monitoring, digital oil field infrastructure, reduced cost of maintenance, mine automation, reduced power consumption, higher productivity, and, thus, enhanced safety and security of assets and workforce.

Source de l’article sur DZONE