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Manufacturing Group

 

Welcome to the Manufacturing Industry Group

Our IDC Manufacturing Insights community has been created to enable you to engage with our manufacturing industry analysts, share your knowledge and best practices, and connect with your colleagues.

  • Participate in the manufacturing discussions in our Blogs or Forums
  • Learn about and share best practices, tips, tricks and tools related to business/technology alignment
  • Network with your colleagues within your industry
  • Provide feedback to IDC's industry analysts and your peers

We welcome your participation! 

analysts blogging about manufacturing

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Engage with IDC Industry Analysts

New beginnings are exciting. The promise of something fresh, new things to explore, and a rejuvenation of outlook and energy. In my new journey as the Program Director for Service Innovation & Connected Products within IDC’s Manufacturing Insights group, I feel all those emotions. For the last ten years, I have researched the trends and the opportunities for growth that impact the field service and customer support leader. In my next decade of exploration, I am excited to hone in more specifically on the future for the manufacturer within service.

The evolution of robotic technology is, in part, a function of the related technology ecosystem and the rapidly improving capabilities of the technology areas that are being built into robots. One of the most influential technology areas that is helping to deliver modern intelligent robotics is Artificial Intelligence (AI). In this sense, I am considering Machine Learning, Deep Learning, Cognitive Computing, and such under the umbrella of AI. AI is not just about technology that can think for itself, in fact, AI is more a function of a robust set of inputs and outputs that allows a machine to make intelligent decisions based on a deep data base of existing knowledge, coupled with the ability to continuously add to that data set and respond to its environment in real time. In January, IDC spent time visiting with Kindred.ai, RightHand Robotics, and Nvidia to discuss the role that AI plays in the evolution of modern commercial service robotics. One particular use case, which was the focal point of several of these conversations, is the use of robotics for picking and handling eaches within the fulfillment process.

I recently attended CES 2018 held in Las Vegas, Nevada, to hear about connected product advances, including the latest with connected and autonomous vehicles and the ecosystem required to make this a reality— manufacturers, vendors, and services providers. What's clear is that CES continues to be an eclectic mix of consumer tech gadgets, home technology, smart cities, and autonomous vehicles, which collectively are transforming the way we live our personal and business lives.

The definition of what it means to manage the lifecycle of a product has evolved dramatically over the past 5-10 years to the point where Product Lifecycle Management (PLM) is no longer confined only to a single enterprise application. There are multiple tools and new technologies that enable easier collaboration across a disparate global design and development team that consists not only of engineers and R&D, but also business line, marketing, sales, manufacturing, and supply chain. This is why PLM software companies have opened and broadened their offerings to a product innovation platform, where multiple enterprise applications are tied together, with product and customer data at the core.

This blog highlights the key worldwide connected vehicle predictions that will impact the enterprise in the next three years and beyond, developed by a team of IDC analysts across product and service innovation, mobility, semi-conductor, and smart cities: Heather Ashton, Brian Haven, Nina Turner, Ruthbea Yesner, and Mark Zannoni.

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