50 episodes

Between the coming Industry 5.0 (yup, we’re already there), machine vision and IoT, there are endless conversations with industry experts. On the IoT Chat, we bring the best of the best into the studio to talk with our Editor-in-Chief about what matters most to engineers and developers. Come for the latest design ideas in AI, security, DevOps and more. Join the conversation with #iotchat.

IoT Chat Podcast insight.tech

    • Technology
    • 5.0 • 3 Ratings

Between the coming Industry 5.0 (yup, we’re already there), machine vision and IoT, there are endless conversations with industry experts. On the IoT Chat, we bring the best of the best into the studio to talk with our Editor-in-Chief about what matters most to engineers and developers. Come for the latest design ideas in AI, security, DevOps and more. Join the conversation with #iotchat.

    Product Defect Detection You Can Count On: With Mariner

    Product Defect Detection You Can Count On: With Mariner

    The time is now for manufacturers to start moving toward a smart factory before being left behind by their competitors. But where do they begin? The challenge is that there’s no right answer. To come up with workable solutions, manufacturers must clearly understand the operational problems they face.
    For example, a lot of manufacturers still conduct manual defect detection on the production line. This is not only expensive and time consuming, but often leads to inaccurate results. One way to address this issue is to apply machine vision and deep-learning models to smart cameras and automate the quality inspection process.
    In this podcast, we explore changes happening on the factory floor, what makes a smart factory run, and how machine vision and AI improve the product inspection process.
    Join us as we explore these ideas with:
    David Dewhirst, VP of Marketing, Mariner
    Christina Cardoza, Associate Editorial Director, insight.tech
    David answers our questions about:
    What is a smart factory? How manufacturers have adapted to digital transformation Getting started on the smart-factory journey Computer vision vs. machine vision Importance of AI for product defect detection What to do when there is lack of IT support Data processing in the cloud and at the edge Working in a partner ecosystem Related Content
    To learn more about defect detection, read A Guaranteed Model for Machine Learning. For the latest innovations from Mariner, follow it on Twitter at @MarinerLLC and LinkedIn at Mariner.

    • 27 min
    Manufacturers Unlock AI at the Edge: With Lenovo and ZEDEDA

    Manufacturers Unlock AI at the Edge: With Lenovo and ZEDEDA

    Computer vision has already cemented its place in smart manufacturing and industrial IoT solutions. But to unlock the full potential of these applications, more and more processing needs to be moved to the edge. The problem is that there is no one-size-fits-all approach when it comes to edge computing.
    In this podcast, we will talk about the different “flavors” of edge computing, how to successfully deploy AI at the edge, and the ongoing role of the cloud.
    Join us as we explore these ideas with:
    Jason Shepherd, VP of Ecosystem at ZEDEDA
    Blake Kerrigan, General Manager at Lenovo
    Christina Cardoza, Associate Editor Director, insight.tech
    Jason and Blake answer our questions about:
    Recent transformations in the manufacturing industry The role of edge computing in industrial IoT solutions Successfully deploying AI at the edge The tools and technologies for edge computing When to use (and not use) the cloud Having the proper AI expertise and IT support Future-proofing manufacturing process and strategy Related Content To learn more about edge computing in manufacturing, read Cloud Native Brings Computer Vision to the Critical Edge. For the latest innovations from Lenovo and ZEDEDA, follow them on Twitter at @Lenovo and @ZededaEdge, and LinkedIn on at Lenovo and Zededaedge.

    • 38 min
    The Power of Omnichannel Experiences with meldCX and Intel®

    The Power of Omnichannel Experiences with meldCX and Intel®

    Customer interactions have gone digital. Whether it is shopping online, ordering food, checking into a hotel, or paying for your bill with your phone—customers expect the same level of convenience and experience online and in stores. This creates pressures for retailers to implement new technologies and transform physical spaces. But if done correctly, it could have huge benefits beyond the customer experience.
    For instance, imagine if retailers could use new digital experiences in stores to track and predict every touchpoint in the customer journey similarly to how they would online? With companies like meldCX and Intel®, it’s becoming more and more possible. In this podcast, we talk about the evolution of customer experiences, what retailers can do to meld physical and online stores together, and what a successful omnichannel experience looks like. 
    Join us as we explore these ideas with:
    Stephen Borg, Co-Founder and CEO of meldCX
    Chris O’Malley, Director of Marketing for the IoT Group at Intel®
    Christina Cardoza, Associate Editorial Director
    Stephen and Chris answer our questions about:
    The evolution of customer experiences How retailers are adapting to the changes Top retail pain points when working with new technologies What a successful retail omnichannel looks like How to gain more value from your business Making sense of available retail data The importance of a partner ecosystem Future-proofing your technology investments Related Content For the latest innovations from meldCX, follow them on LinkedIn.

    • 32 min
    Deploy AI Apps with Intel® OpenVINO™ and Red Hat

    Deploy AI Apps with Intel® OpenVINO™ and Red Hat

    What can artificial intelligence do for your business? Well, for starters, it can transform it into a smart, intelligent, efficient, and constantly improving machine. The real question is: how? There are multiple different ways businesses can improve their operations and bottom line by deploying AI apps. But it’s not always straightforward and it requires a lot of skills and knowledge the business often does not have.
    Thankfully, companies like Red Hat and Intel have worked hard to simplify AI development and make it more accessible to enterprises and developers.
    In this podcast, we will discuss the growing importance of AI across all industries, what the journey of an AI application looks like from development to development, and what comes next, and the partners and tools that make it all possible.
    Join us as we explore these ideas with:
    Audrey Reznik, Senior Principal Software Engineer, Red Hat
    Ryan Loney, Product Manager for OpenVINO™ Developer Tools, Intel®
    Christina Cardoza, Associate Editorial Director, insight.tech
    Audrey and Ryan answer our questions about:
    The business benefits of AI and ML AI and ML use cases and adoption Challenges to deploying AI applications The recent release of OpenVINO 2022.1 Red Hat’s experience with the new OpenVINO capabilities The AI app journey from development to deployment How to get started on an AI journey How OpenVINO can boost AI efforts Related Content To learn more about AI and the latest OpenVINO release, read AI Developers Innovate with Intel® OpenVINO™ 2022.1. For the latest innovations from Intel and Red Hat, follow them on Twitter at @Inteliot and @RedHat, and LinkedIn at Intel-Internet-of-Things and Red-Hat.

    • 40 min
    The Meaning of IT/OT Convergence with IDC and Intel®

    The Meaning of IT/OT Convergence with IDC and Intel®

    As the world becomes more connected, businesses no longer can afford to have their IT and OT teams operate as separate islands. They need to collaborate and communicate to adapt and respond to their ever-changing business needs. But how do you merge these two separate worlds?
    In this podcast, we explore how to break down IT and OT silos, the biggest business benefits, and the new opportunities IT/OT convergence creates for systems integrators.
    Join us as we explore these ideas with:
    Jan Burian and Head of Manufacturing Insights for IDC
    Sunnie Weber, IoT Ecosystem Strategy Leader for Intel
    Kenton Williston, Editor-in-Chief for insight.tech
    Podcast Topics Jan and Sunnie answer our questions about:
    The importance of IT/OT convergence New businesses opportunities stemming from this convergence What businesses can do to bring people and platforms together How the convergence of IT and OT changes key skills, roles, and responsibilities Key considerations for systems integrators How IT/OT convergence will play a role in the metaverse The best way to approach IT/OT convergence in your organization Related Content To learn more, read IT-OT Convergence: A Growing Opportunity for System Integrators. For the latest innovations from Intel and IDC, follow them on Twitter at @IDC and @Inteliot or on LinkedIn at IDC and Intel-Internet-of-Things.

    • 32 min
    Into the IoT Partner Multiverse with Tech Data EMEA

    Into the IoT Partner Multiverse with Tech Data EMEA

    Do you have the right tools, budgets, and expertise in place to take advantage of all the IoT world has to offer? Probably not. Most businesses are dealing with constrained budgets, limited resources, and a small staff. But that can be extremely troubling in today’s modern and digital landscape as customers demand better, faster, and more advanced solutions and services.
    Luckily, you don’t have to do it alone. There are multiple different partnerships and programs out there to help put IoT businesses on a successful path. Take Tech Data’s Better Together strategic alliance as an example. The company partnered with Intel® and Microsoft to leverage their unique knowledge and experience to create seamless end-to-end IoT solutions and improve business outcomes.
    If you’re looking to learn more about how IoT partners can help you, what to look for in a partner, and the whole IoT solution provider ecosystem, then this podcast is for you.
    Join us as we explore these ideas with:
    Evan Unrue, European Chief Technologist for Data and IoT at Tech Data EMEA
    Kenton Williston, Editor-in-Chief at insight.tech
    Evan answers our questions about:
    What drives enterprises to move toward IoT How successful companies have been at deploying this technology Easing the barrier of entry Solutions and use cases that support IoT development Tech Data’s Better Together Alliance with Microsoft and Intel® The value of IoT solutions aggregators What IoT businesses should think about moving forward Overcoming the biggest IoT business challenges Related Content For the latest innovations from Tech Data, follow it on Twitter at @TechDataEurope and LinkedIn at TDSYNNEX.

    • 31 min

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