DZone Research: How to Get More From IoT
Have a specific business case in mind, understand the value of your data, identify how to monetize the data.
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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?"
- 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.
Value of Data
- 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.
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.
- Discuss cost. Companies are willing to spend a lot of money to set up a data center but not IoT devices. Self-sufficient, self-managed. Always looking for a cost-effective solution to work on an IoT device and a data center as well. Cloud vendors have a great story to tell. But no longer is the public cloud most cost-effective. However, Google Cloud IoT is hungry and eager to grab share from Amazon and Azure. Driving more cost-effective solutions for customers. Customers also want overall seamless experience. Cloud vendors do not offer a good on-prem solution.
- New product home environmental monitor — lights, humidity, and clear air. Automate everything to optimize for sleep, productivity, and exercise. Most people don’t have connected homes. The ecosystem is not as pervasive. We had to launch our own solution on top of the platform. Since we're still a couple of years away from an integrated platform, what else do we need to do to delight the customer? Most of the devices, like Alexa, are speech-enabled — you have a speaker and microphone. You don’t see that with a lot of appliances. Some of the basic tools in a home are still quite expensive (e.g. smart light bulbs).
- Train large organizations to think of these as large projects — like moon shots scale at large investment. Think big, start small, iterate often. Prove out a minimum viable product. Learning will be significant, help you learn to evolve. Observe, decide, act, iterate.
- AI — smart automation results in a faster and more reliable workforce!
Here’s who we spoke to:
- Mike Donovan, V.P. of Product, Aquicore
- Adam Fingerman, CEO, ArcTouch
- Dave Schuman, Mobility Leader, Cloudera
- OJ Ngo, CTO and Co-founder, DH2i
- Suzy Visvanathan, Director of Product Management, MapR
- Uri Sarid, CTO, MuleSoft
- David McCall, President, and Clarke Stevens, Chair, Data Model Tools Task Group and Vice Chair, Data Modeling Work Group, Open Connectivity Foundation
- Zach Supalla, Founder and CEO, Particle
- Steven Blum, CTO, PubNub
- David Bericat, Global Technical Lead, Industrial IoT and Edge Computing, Red Hat
- Vaughn Shinall, Head of Product Outreach, Temboo
- Ray Wu, CEO, Wynd
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