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Male models pose in a factory run by women.  - ModelsPosingInAFactory 600x338 - IoT-Driven Manufacturing Trends to Look for in 2018

With Internet of Things (IoT) technology spending forecast to reach $772.5 billion this year — an increase of 15 percent over 17 — the world’s top manufacturers are set to shift into exhilarating overdrive down the path to AI-driven and IoT-enabled automation. So where will take us on this journey? First and foremost, the year ahead will see manufacturers rapidly connecting the unconnected, consolidating workloads, focusing on analytics and virtualizing as much as they can on the manufacturing floor. Furthermore, the manufacturing industry will continue its quest to connect to the halos transmitted by all of the instrumented people, places and things. They will make further sense of this by applying analytic algorithms to turn into actionable information, providing better insight into facilities and production.

While the industry is embracing IoT, they’ll begin to reveal its value in 2018. Unlike the enterprise resource projects (ERPs) of the 1980s and ‘90s, manufacturers understand that there’s tremendous value in IoT. As a result, 2018 will see a growth in pilots that will showcase results to inform further investment and business benefits — from intelligent manufacturing and field service automation to industrial system consolidation and robotic assembly. Industry leaders will emerge and apply these experiments at high-value locations where they see that they can automate functions.

The rapid growth in automation of routine tasks will free up humans to apply their own unique intuition and creativity to infer associations from disassociated objects. That’s where humans are most effective. Manufacturers will increasingly look for places and ways to automate functions while also looking for ways to apply IoT for improving their business processes. This will certainly appear across the supply chain as businesses take a closer look at the quality of the raw materials that arrive, work in progress and quality steps along the way.

As businesses dig in and begin to uncover the value of IoT, they will increasingly deploy analytic solutions where it makes sense. It’s a tremendously exciting time for the industry, at a time when IoT technology is still growing and being developed. There are nuances and new discoveries that need to be made, as with any new evolution in the industry. While we’re still very early on, everyone is experimenting, learning quickly, failing quickly, and gleaning solid learning objectives out of the pilots they deploy, slowly bringing it on board.

IoT will also disrupt the market in places where technology can enable businesses to provide more personalization for customers. If a customer wants a certain part created from a certain pattern, from a certain material, delivered on a certain date then they should be able to convert that request to a manufacturing line to delight the customer when it shows up at their door. Manufacturing is heading down the path toward personalization, shaped by the increasing amounts of data insights that are streaming from people, places and things. It will give manufacturers the ability to become so much more efficient and safe in how they deliver their product to customers, aided by disruption in automation and controls, virtualization and software-defined machine control.

As manufacturers continue on their journey with IoT they can start to make sense of data by applying algorithms and analytics. This, in turn, will enable the ability to leverage machine learning that will inform them on normal versus abnormal behaviors. The next phase will be able to make smart machines to use that data in decision-making and the introduction of control logic. As a result, analytics for large, unstructured data sets like video and audio will increasingly occur at the edge, or other places along the network. This will allow manufacturers to detect anomalies for further examination back at the factory command center.

From workload consolidation and virtualization to revealing IoT insights and expanding automation, as manufacturers apply analytic algorithms that turn data into actionable information there’s not a place in our lives that won’t be touched by industrial IoT. We are in as transformative a phase right now as when electricity was invented. In 100 years, people will look back at this time and wonder how we ever got along without IoT devices, or solutions invented because of IoT. 2018 is shaping up to be a tremendously transformative year that will usher us forward to a better tomorrow.

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Chet Hullum  - 6e4a7449d0006d2b352815b64a1982f2 s 60 d retro r g - IoT-Driven Manufacturing Trends to Look for in 2018

About Chet Hullum

Chet Hullum joined the Internet of Things Group (IOTG) of Intel Corporation as General
Manager of Industrial Solutions in September 2015 to develop and deliver IoT solutions for the Industrial vertical. The goal of Industrial IoT is to implement solutions supporting industrial manufacturing and production to optimize customer output and efficiency.

Chet is working with the ecosystem of equipment manufacturers, automation and software vendors, as well as service providers and system integrators to develop and deploy ubiquitous connected devices, edge analytic platforms and architectures for operational excellence and transformative business solutions.

Chet has 23 years of experience providing advanced solutions most recently at GE, he was responsible for selling the complete set of GE Energy offerings to global industries worldwide, including metals, mining, food and beverage, shale and petrochemical producers. Chet’s background includes working in power generation for GE Power Generation Services as CMO, and as the Regional Services Director. He has also held leadership positions in business operations including quality and services and design engineering. Chet began his as a Field Engineer for heavy duty turbines and generators. He is located in Santa Clara, CA.





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