Episodit
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The manufacturing industry is undergoing a digital revolution, driven by adoption of Industry 4.0 technologies and the Industrial Internet of Things (IIoT). While this transformation promises increased efficiency and productivity, it also raises concerns about energy consumption.
In this podcast episode, we delve into the critical role of energy efficiency in the factory. We explore how integrating green principles into automation solutions can not only reduce environmental impact but also lower operational costs and enhance competitiveness.
Join us as we explore these ideas with:
Anna Kiseleva, Product Manager, NexAIoT
Christina Cardoza, Editorial Director, insight.techAnna answers our questions about:
The meaning of a green manufacturer Tools and technologies necessary for change Taking the Industry 4.0 sustainability path NexAIoT’s role in green manufacturing Partnerships powering sustainability efforts How green manufacturing will keep evolvingRelated Content
To learn more about green manufacturing, read Smart Factory Tech Proves Data Is Power. For the latest innovations from NexAIoT, follow them on LinkedIn.
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Our energy landscape is undergoing rapid transformation. The power grid is no longer just infrastructure; it's a strategic enabler for sustainability across industries, allowing us to electrify processes traditionally reliant on fossil fuels. But this transition requires a modern, collaborative approach.
In this podcast, industry thought leaders emphasize the urgency for grid modernization and the importance of partnerships among operators, manufacturers, and service providers. They discuss the need for standardized technologies and open digital architectures to optimize investments for a smarter, future-ready grid.
Join us as we dive into the challenges and solutions, and learn how to optimize grid performance while balancing energy demands.
Join us as we explore these ideas with:
Marc Delandre, Director of Advanced Network Technologies, Enedis
Ian Fogg, Research Director of Network Innovation, CCS Insight
Valerie Layan, Head of Power & Grid Europe, Schneider Electric
Paul O'Shaughnessy, Sector Head of Energy & Utilities, Advantech
Philippe Vié, Global Group Lead for Energy, Utilities, & Chemicals, CapgeminiChristina Cardoza, Editorial Director, insight.tech
Paul, Philippe, Valerie, Marc, and Ian answer our questions about:
Current state of grid modernization efforts What drives the grid of the future Demand pressures and technology limitations Renewable energy challenges and considerations Digital technologies shaping the smart grid Bringing edge AI into the energy space The role of the substation in grid modernization Future-proofing ongoing smart-grid efforts Working with partners like Intel and the E4S Alliance Customer examples and use casesRelated Content
To learn more about grid modernization, read The Grid of the Future. For the latest innovations from:
Advantech, follow them on X at @Advantech_USA and LinkedIn Capgemini, follow them on LinkedIn Schneider Electric, follow them on X at @SchneiderElec and LinkedIn Enedis, follow them on X at @enedis and LinkedIn CCS Insight, follow them on X at @ccsinsight and LinkedIn -
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Are you ready to take your AI career to the next level? We dive deep into the world of strategic partnerships, uncovering everything from finding the perfect match to harnessing the power of developer communities. Get ready for insider tips that will help you build the future of AI.
We explore the game-changing potential of AI partnerships—how can businesses and developers come together to create groundbreaking solutions? What’s the secret sauce to a successful collaboration? We also dive into the crucial role that developer communities and events play in driving innovation and building connections.
Join us as we explore these ideas with:
Jason Corso, Cofounder and Chief Science Officer, Voxel51
Paula Ramos, AI Evangelist, Intel
Christina Cardoza, Editorial Director, insight.techJason and Paula answer our questions about
The evolving artificial intelligence landscape How developers can keep up with the changes Gaining developer support from large companies Being part of developer communities and events Staying on top of upcoming AI trends Fostering community engagementRelated Content
For the latest innovations from Voxel, follow them on Twitter at @voxel51, LinkedIn, and GitHub. For the latest innovations from Intel, follow them on Twitter at @intel, LinkedIn, and GitHub.
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In today's rapidly evolving technology landscape, businesses increasingly turn to network edge solutions to meet the demands of real-time data processing, enhanced security, and improved user experiences. But deploying these solutions comes with its own set of challenges, including latency issues, bandwidth constraints, and need for robust infrastructure.
This podcast episode explores the world of network edge computing, and the unique challenges businesses face when deploying these advanced solutions. We discuss the critical features of network edge devices and how AI can help drive efficiency. Additionally, we examine the specific challenges and demands industries encounter and how they can overcome them.
Join us as we explore these ideas with:
CK Chou, Product Manager, CASwell
Christina Cardoza, Editorial Director, insight.techCK answers our questions about
The move to the network edge Network edge devices built for success Moving to AI at the network edge Addressing network edge challenges Overcoming the increased demand Implementing network edge devices Partnering on performance and powerRelated Content
To learn more about the network edge, read AI Everywhere—From the Network Edge to the Cloud. For the latest innovations from CASwell, follow them on LinkedIn.
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Downtime is a costly killer. But traditional predictive maintenance methods often fall short. Discover how multisensory AI is used to uplevel equipment maintenance.
Multisensory AI uses sight, sound, and smell to accurately predict potential equipment failures, even with limited training data. This innovative approach can help businesses reduce downtime, improve efficiency, and save costs.
In this podcast, we explore how to successfully implement multisensory AI into your existing infrastructure and unlock its full potential.
Join us as we explore these ideas with:
Rustom Kanga, Co-Founder and CEO, iOmniscient
Christina Cardoza, Editorial Director, insight.techRustom answers our questions about
Limitations to traditional predictive maintenance A multisensory and intuitive AI approach Training AI to emulate human intelligence Providing accurate and valuable results Investing in a multisensory AI approach How businesses leverage intuitive AI Partnerships and technologies behind success The future of multisensory and intuitive AIRelated Content
To learn more about multisensory AI, read Multisensory AI Revolutionizes Real-Time Analytics. For the latest innovations from iOmniscient, follow them on Twitter at @iOmniscient1 and LinkedIn.
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Video imaging has become a cornerstone of business operations, but its limitations are clear. Challenges like low light, obstructions, and tracking multiple targets hinder its effectiveness. Enter 3D LiDAR: a solution known for its unparalleled situational awareness and accuracy.
While 3D LiDAR isn’t a new technology, it’s capabilities are becoming more affordable and accessible to businesses. In this episode, we explore how to unlock the full potential of 3D LiDAR in your business. We discuss real-world applications, overcome implementation hurdles, and discover how this innovative technology can drive your business forward.
Join us as we explore these ideas with:
Gerald Becker, VP Market Development and Alliances, Quanergy
Christina Cardoza, Editorial Director, insight.techGerald answers our questions about:
Bringing 3D LiDAR beyond autonomous vehicles Making 3D LiDAR more accessible to businesses Implementing 3D solutions into existing infrastructure Gaining actionable insights and decision-making Real-world 3D LiDAR application results The partnerships and technology behind the solutions Emerging trends and technologies to look out forRelated Content
For the latest innovations from Quanergy, follow them on Twitter at @quanergy and LinkedIn.
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The power of edge AI transforms the embedded systems industry with new levels of performance, energy efficiency, memory optimization, and accuracy. But how can businesses leverage these capabilities to build applications that deliver real value?
In this episode, we explore where and how the latest technology is deployed and how companies should approach their next-generation solutions. We dive into real-world edge AI applications, highlight their impact on various industries, and showcase their potential to solve complex challenges.
Join us as we explore these ideas with:
Alex Wood, Global Marketing Director, Avnet
Christina Cardoza, Editorial Director, insight.tech
Brandon Lewis, insight.tech contributorAlex answers our questions about:
Current state of the embedded systems industry Driving factors behind edge AI applications Real-world use cases from customers When to leverage the latest technologies Meeting the different technology demands Processor advancements and benefitsRelated Content
To learn more about the latest edge AI innovations, see what Intel partners across the global do in their industries. For the latest innovations from Tria Technologies, follow them on LinkedIn.
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Buildings account for a staggering 40% of global carbon emissions. With mounting regulatory pressures, escalating energy costs, and growing corporate sustainability goals, the demand for greener buildings has never been more urgent.
AI is emerging as a game changer in this space with its ability to deliver precise insights into a building’s performance—enabling businesses to optimize energy consumption, enhance occupant well-being, and reduce their environmental impact.
In this podcast, we explore practical applications of AI, revealing exactly how businesses and building owners can accelerate their sustainability journey and achieve tangible green building objectives.
Join us as we explore these ideas with:
Lauren Long, Vice President of Brand and Marketing, Nantum AI
Maciej Łabuszewski, Onboarding Specialist, Blue Bolt
Christina Cardoza, Editorial Director, insight.techLauren and Maciej answer our questions about:
3:25 – The role of buildings in the fight against climate change 5:31 – Sustainable building goals for building owners and managers 9:20 – Recent smart building technology innovations 13:01 – Leveraging AI to create insights and track performance 16:15 – Inside a sustainable smart building 19:36 – Overcoming challenges of implementation 21:37 – Real-world examples and smart building use cases 27:26 – Valuable technology partnershipsRelated Content
To learn more about sustainable smart buildings, read Mobile Access Control Promotes Sustainable Buildings and From Smart Buildings to Intelligent Ones. For the latest innovations from Nantum AI, follow them on X/Twitter at @nantumai and on LinkedIn. For the latest innovations from Blue Bolt by NTT, follow them on LinkedIn.
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Today’s cities face ongoing issues related to pollution, waste management, and energy consumption. But as smart technology and solutions get more integrated into urban environments, efforts are being made to promote sustainability. Axiomtek, for example, uses artificial intelligence and edge computing in recycle and waste bins to enhance efficiency and accuracy.
In this podcast, we explore sustainable smart city efforts, examine real-world use cases, and discuss the necessary infrastructure to achieve sustainability goals.
Join us as we explore these ideas with:
Jody Cheng, Product Solution Manager, Axiomtek
Manny Hicaro, Application Engineer Supervisor, Axiomtek
Christina Cardoza, Editorial Director, insight.tech TalkPodcast Topics
Jody and Manny answer our questions about:
Driving factors of sustainable smart cities Latest innovations for sustainable smart cities How edge AI contributes to sustainable solutions Necessary smart city infrastructure Examples of AI-powered sustainability efforts The value of Intel and its technologies Future edge AI smart city implementationsRelated Content
To learn more about the latest innovations for smart buildings and spaces, check out our smart cities page. For the latest innovations from Axiomtek, follow them on Twitter/X at @Axiomtek and on LinkedIn.
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The retail landscape is riddled with challenges – staffing shortages, supply chain disruptions, and inflation. But there's a solution with a powerful ROI: AI in retail.
Imagine self-checkout with flawless image recognition, streamlined checkout, and reduced labor costs. AI can also free employees up so they can provide more meaningful customer interactions and boost customer satisfaction.
This podcast dives deep into how AI transforms retail operations and enhances the in-store experience. Discover how AI in retail improves efficiency, cuts costs, and boosts customer loyalty.
Join us as we explore these ideas with:
Matt Redwood, Vice President of Retail Technology, Diebold Nixdorf
Christina Cardoza, Editorial Director, insight.techPodcast Topics
Matt answers our questions about:
Different challenges retailers face today Real AI benefits to in-store experiences Where retailers can start implementing AI The human element in AI transformations Real-world customer use cases Technology partnerships making AI in retail possibleRelated Content
To learn more about AI in retail, read New Retail POS Solutions Transform the Checkout Journey. For the latest innovations from Diebold Nixdorf, follow them on Twitter/X at @DieboldNixdorf and on LinkedIn.
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Pulling off an event like the Olympic and Paralympic Games involves intricate behind-the-scenes work. From connecting people through private 5G platforms to creating virtual experiences and using AI and digital twins for planning and execution, expertise and reliable partnerships are crucial.
This podcast explores how advanced technology is leveraged to create interactive and immersive event experiences, the essential partnerships involved, and a forward-looking perspective on future innovations in event management.
Join us as we explore these ideas with:
Sarah Vickers, Head of the Olympic and Paralympic Program, Intel
Christina Cardoza, Editorial Director, insight.techSarah answers our questions about
Intel’s involvement in the Olympic and Paralympic Games Event preparation before, during, and after the event The process of launching a large-scale event experience What happens with all the data after the event New technology innovations for event experiences The value of Intel’s ecosystem and partnerships Applying Intel technology beyond the OlympicsRelated Content
For the latest innovations from Intel, follow them on Twitter at @Intel and on LinkedIn.
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Addressing supply chain inefficiencies continues to be a problem for manufacturers. Legacy systems and information silos cause inventory shortages and production delays.
This podcast explores how digitizing the manufacturing supply chain, from raw materials to delivery, can revolutionize your operations. We discuss how AI, real-time data analysis, and other technologies can optimize performance, unlock valuable insights, and shape the future of supply chain management.
Join us as we explore these ideas with:
Stefano Linari, CEO, iProd
Kemal Levi, Founder and CEO, Relimetrics
Christina Cardoza, Editorial Director, insight.techOur guests this episode are Stefano Linari, CEO of iProd, a manufacturing optimization platform provider; and Kemal Levi, Founder and CEO of Relimetrics, machine vision solution provider.
Stefano and Kemal answer our questions about
2:41 – Manufacturing supply chain pain points 4:47 – Supply chain areas ripe for digitization 7:49 – Technologies optimizing supply chain efficiency 11:14 – AI’s role in modernizing the supply chain 12:59 – Real-world manufacturing supply chain efforts 23:00 – The value of leveraging technology partnerships 27:57 – The future of the supply chain from end to end 30:18 – How AI is going to continue to evolve this spaceRelated Content
To learn more about the manufacturing supply chain, read AI Boosts Supply Chain Efficiency and Profits and Unified Data Infrastructure = Smart Factory Solutions. For the latest innovations from iProd, follow them on LinkedIn. For the latest from Relimetrics, follow them on Twitter/X at @relimetrics and on LinkedIn.
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Join us for our very first episode of “insight.tech Talk” where we talk about how voice AI transforms the QSR experience—boosting efficiency and creating a smoother experience both for customers and employees.
Just as our new name reflects the ever-changing tech landscape, this episode explores how voice assistants enable QSRs to take orders faster and more accurately, reducing staff workload and handling complex requests. The result: shorter lines, happier customers, and more consistent service.
Listen in as we explore benefits, address potential challenges, and peek into how voice AI impacts other areas of the industry.
Join us as we explore these ideas with:
Salwa Al-Tahan, Research and Marketing Executive, Sodaclick
Stevan Dragas, EMEA Digital Signage Segment Manager, Intel
Christina Cardoza, Editorial Director, insight.techSalwa and Stevan answer our questions about
How voice AI enhances QSR experiences Voice AI infrastructure and investments Technological advancements making voice AI possible Real-world examples of voice AI in QSRs Voice AI opportunities beyond QSRsRelated Content
To learn more about conversational voice AI, read Talking Up Self-Serve Patient Check-In Kiosks in Healthcare. For the latest innovations from Sodaclick, follow them on Twitter at @sodaclick and on LinkedIn. For the latest innovations from Intel, follow them on Twitter at @sodaclick and on LinkedIn.
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Tired of chasing Industry 4.0 goals? AI automation unlocks optimization, productivity, and cost savings. Explore its revolutionary impact and discover how manufacturers can overcome challenges and thrive in the digital age in this podcast episode.
We dive into how AI-powered automation can boost your competitiveness, spark innovation, and drive sustainable growth.
Join us as we explore these ideas with:
AI’s role in industrial automation Benefits of AI-powered solutions Challenges implementing AI Overcoming the risks DeltaV’s AI capabilities Impact of AI manufacturing Leveraging industry expertise AI infrastructure and investments Related Content
Camilo Fadul, DeltaV Solution Marketing Director, Emerson
Curtis Thompson, Product Marketing Manager, Emerson
James Green, Business Development Manager, Intel
Christina Cardoza, Editorial Director, insight.tech
Camilo, Curtis, and James answer our questions about:For the latest innovations from Emerson, follow them on Twitter at @Emerson_News and on LinkedIn.
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Gone are the days when artificial intelligence and computer vision were exclusive to tech giants. These powerful tools hold immense potential for businesses of all sizes. What remains limited is the skill sets required to bring some of these AI solutions to market.
In this webinar, we uncover the significance of democratizing artificial intelligence and computer vision, as well as explore how partnering with the right allies can propel AI initiatives forward.
Join us as we explore these ideas with:
Mario Lopez, Chief Innovation Officer, Bravent
Michael Nelson, Field Solutions Architect, TD SYNNEXMario and Michael answer our questions about
The transformative power of AI and computer vision Challenges and limitations to building AI solutions Bringing partners and technologies together What to consider and evaluate in a partner Real-world examples of democratizing AI Making AI development more accessible A look at future AI innovationsRelated Content
To learn more about democratizing AI, read Bravent Creates Agile, Scalable Industrial Vision Solutions with the Intel® Geti™ Platform and OpenVINO™ Toolkit and The Power of IoT Partnership: Work Better, Together. For the latest innovations from Bravent, follow them on LinkedIn. For the latest innovations from (company), follow them on Twitter at @TDSYNNEX and on LinkedIn.
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Mobile World Congress 2024 unveiled game-changing innovations that will redefine how we connect. Think private mobile networks and AI that learns to optimize performance!
In this podcast, we unpack these exciting trends and explore the future of intelligent networks. Join us to unlock the potential of tomorrow's technology and embrace a world of possibilities.
Join us as we explore these ideas with:
Ian Fogg, Director of Networks, CCS Insight
Wei Yeang Toh, GM of Ecosystem Development Organization, Intel
Christina Cardoza, Editorial Director, insight.techPodcast Topics
Ian and Wei answer our questions about:
Key network trends from Mobile World Congress Advances and benefits AI brings to the network space How these key trends and themes impact the industry Importance of the hybrid model for intelligent networks What’s on the horizon for 6G networks Ecosystem partnerships for network modernizationRelated Content
To learn more about key network trends, read Private Mobile Networks: Options for Scaling the Market and MWC 2024: Private 5G Networks Take Center Stage. For the latest innovations from CCS Insight, follow them on X/Twitter at @ccsinsight and on LinkedIn. For the latest innovations from Intel, follow them on X/Twitter at @Intel and on LinkedIn.
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Struggling to keep your hybrid workforce engaged and productive? Enter high-impact spaces, driven by the transformative power of AI and changing the way we work and interact in both physical and digital spaces.
In this episode we dive into the existing possibilities of high-impact spaces, exploring their potential alongside the technology, tools, and partnerships making them a reality.
Join us as we explore these ideas with:
Christopher Jaynes, Senior VP of Software Technologies, Q-SYS
Christina Cardoza, Editorial Director, insight.techChristopher answers our questions about
High-impact spaces versus traditional spaces How AI transforms hybrid environments Various business opportunities Considering the human element Necessary technology and infrastructure Leveraging different partnerships Future evolutions of high-impact spacesRelated Content
To learn more about high-impact spaces, read High-Impact Spaces Say “Hello!” to the Hybrid Workforce. For the latest innovations from Q-SYS, follow them on X/Twitter at @QSYS_AVC and LinkedIn at QSC.
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Across all industries, businesses actively adopt computer vision to improve operations, elevate user experiences, and optimize overall efficiency. Image segmentation stands out as a key approach, enabling various applications such as recognition, localization, semantic understanding, augmented reality, and medical imaging. To make it easier to develop these types of applications, Meta AI released the Segment Anything Model (SAM)—an algorithm for identifying and segmenting any objects in an image without prior training.
In this podcast, we look at the evolution of image segmentation, what the launch of Meta AI’s Segment Anything model means to the computer vision community, and how developers can leverage OpenVINO™ to optimize for performance.
Join us as we explore these ideas with:
Paula Ramos, AI Evangelist, Intel
Christina Cardoza, Editorial Director, insight.techPaula answers our questions about
The importance of image segmentation to computer vision Traditional challenges building image segmentation solutions What value the Segment Anything Model (SAM) brings Business opportunities for image segmentation and SAMs The power of OpenVINO to image segmentation The future of OpenVINO and Segment AnythingRelated Content
To learn more about image segmentation, read Segment Anything Model — Versatile by Itself and Faster by OpenVINO. For the latest innovations from Intel, follow them on X at @IntelAI and on LinkedIn.
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Imagine being able to predict machine failures, detect defects, prevent costly downtime, and ensure working safety in real time. That’s exactly what AI-powered manufacturing aims to do.
It’s no longer just about efficiency. AI revolutionizes the factory floor, boosting product quality, reducing waste, and personalizing training for higher productivity. Is your factory ready to take on these changes?
Join us as we explore the opportunities and challenges of embracing and integrating AI in manufacturing. We address concerns, share success stories, and equip you with the knowledge to build a smarter, safer factory.
Join us as we explore these ideas with:
Aji Anirudhan, Chief Sales & Marketing Officer, AllGoVision
Jonathan Weiss, Chief Revenue Office, Eigen InnovationsAji and Jon answer our questions about:
Industry 4.0 challenges and pressures Safety risks for factory workers Creating a data-driven factory Ongoing factory floor transformations Data-driven factory strategies Industrial AI video analytic use cases Industrial machine vision examples Manufacturing opportunities up aheadRelated Content
To learn more about AI-powered manufacturing, read Machine Vision Solutions: Detect and Prevent Defects. For the latest innovations from AllGoVision and Eigen Innovations, follow them on Twitter/X at @AllGoVision and @EigenInnovation, and on LinkedIn at AllGoVision and Eigen Innovations Inc.
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Despite what many may think, generative AI extends beyond just generating text and voice responses. Among the growing fields is audio-based generative AI, which harnesses AI models to create and/or compose fresh and original audio content. This opens a world of new possibilities for developers and business solutions.
In this podcast, we discuss the opportunities presented by audio-based generative AI and provide insights into how developers can start building these types of applications. Additionally, we explore the various tools and technologies making audio-based generative AI applications possible.
Join us as we explore these ideas with:
Ria Cheruvu, Generative AI Evangelist, Intel
Christina Cardoza, Editorial Director, insight.techRia answers our questions about
Generative AI landscape overview Generative AI for audio business opportunities Developing generative AI audio applications Available generative AI technology stack Developer resources for generative AI development What else we can expect from this spaceRelated Content
To learn more about generative AI, read Generative AI Solutions: From Hype to Reality. For the latest innovations from Intel, follow them on X at @IntelAI and on LinkedIn.
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