IoT Dev Chat

Smart retail has been a buzzword for years, but we're now at a critical inflection point. The industry grapples with rapid innovation, shifting customer expectations and mounting operational pressures. Retailers don't look just for incremental upgrades—they need a complete digital transformation that integrates automation, AI-driven insights, and real-time data to stay competitive. In this podcast episode, we explore the future of smart retail and how emerging technologies drive the industry forward. From AI-powered customer behavior analytics and personalized digital signage to voice AI for seamless wayfinding and transactions, we examine how innovation reshapes both the store and the customer experience. Join us as we explore these ideas with: Silvia Kuo, Director of Business Development and Partnerships, ASUS Christina Cardoza, Editorial Director, insight.tech Silvia answers our questions about: Challenges smart retail still has to overcome Enhancing employee experience with AI Using technology to make smart retail a reality Integrating technology into existing infrastructure Real-world use cases and lessons learned Leveraging industry expertise Smart retail's ongoing evolution Related Content To learn more about the evolution of retail, read POC Shows What's In Store for Retail Analytics. For the latest innovations from ASUS, follow them on Twitter/X at @asus and LinkedIn.

What if the future of healthcare weren't about replacing clinicians but empowering them to do more, faster, and better? From addressing clinician shortages to processing massive volumes of medical data, AI is rapidly moving beyond diagnostics and imaging into areas like workflow optimization, multimodal input, and real-time decision-making. In this podcast, we dive into how AI scales at the device level, enhancing patient outcomes, and uncovering actionable insights from one of the largest data-generating sectors in the world. Discover how edge computing enables faster, more secure data analysis right where care is delivered, and learn how these advancements shape a more efficient and innovative future for healthcare. Join us as we explore these ideas with: Ian Fogg, Research Director of Network Innovation, CCS Insight Alex Flores, Head of Global Health Solutions Vertical, Intel Christina Cardoza, Editorial Director, insight.tech Ian and Alex answer our questions about: The latest CCS Insight healthcare AI report findings Healthcare industry trends and observations Adopting technologies safely and securely How AI at the edge addresses healthcare data Strategies to bring AI into the healthcare industry The value of working with Intel Examples and case studies of healthcare transformations How AI usage will evolve in healthcare Related Content To learn more about healthcare at the edge, read about the latest innovations in patient care, monitoring, and wellness. For the latest innovations from CCS Insight, follow them on X/Twitter at @ccsinsight and LinkedIn. For the latest innovations from Intel, follow them on X/Twitter at @intel and LinkedIn.

Are long queues and slow service costing your foodservice business time, money, and customer loyalty? The foodservice industry is under constant pressure to serve fast and efficiently while delivering a great experience—but traditional solutions often fall short. In this episode, we uncover how AI-powered self-service technology revolutionizes foodservice operations. Learn how cutting-edge innovations can slash checkout times, enhance customer satisfaction, and empower operators to streamline workflows like never before. Whether you run a busy quick-service restaurant, manage a bustling cafeteria, or strategize for the future of dining, this episode will show you how AI reshapes the industry to meet the demands of modern consumers—and how your business can stay ahead of the curve. Join us as we explore these ideas with: Sergii Khomenko, Founder, Autocanteen Christina Cardoza, Editorial Director, insight.tech Sergii answers our questions about Foodservice industry challenges Customer checkout expectations Bringing automation to foodservice Leveraging technology partners Autocanteen in the real world The changing foodservice industry Related Content To learn more about self-checkout, read AI Self-Checkout Redefines Food Service Efficiency. For the latest innovations from Autocanteen, follow them on Twitter at @autocanteen and on LinkedIn.

Tired of gridlock and traffic jams? Smart cities are the future, but their roads often feel stuck in the past. Traditional traffic management solutions are no match for the complexities of modern urban life. In this episode, we explore the future of transportation with AI and visual data taking the front seat. We discuss the importance of real-time analytics combined with historical data, and gain some insights into the critical role of visual capabilities in traffic management, how AI-driven insights aid city planners, and the ways these technologies promote sustainability. Join us as we explore these ideas with: Joseph Harvey, ITS Market Sector Leader, ISS Christina Cardoza, Editorial Director, insight.tech Podcast Topics Joe answers our questions about: State of traffic management AI's power in city planning Empowering traffic flow Opportunities for improvement Traffic technology implementations Taking security into consideration Partnerships making it possible Related Content To learn more about intelligent transportation systems, read Video Intelligence Illuminates Path to Pedestrian Safety. For the latest innovations from ISS, follow them on X at @isscctv and on LinkedIn.

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.tech Anna 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 evolving Related 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.

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, Capgemini Christina 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 cases Related 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

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.tech Jason 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 engagement Related 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.

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.tech CK 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 power Related 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.

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.tech Rustom 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 AI Related 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.

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.tech Gerald 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 for Related Content For the latest innovations from Quanergy, follow them on Twitter at @quanergy and LinkedIn.

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 contributor Alex 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 benefits Related 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.

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.tech Lauren 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 partnerships Related 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.

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 Talk Podcast 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 implementations Related 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.

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.tech Podcast 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 possible Related 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.

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.tech Sarah 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 Olympics Related Content For the latest innovations from Intel, follow them on Twitter at @Intel and on LinkedIn.

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.tech Our 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 space Related 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.

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.tech Salwa 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 QSRs Related 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.

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: 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: 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 For the latest innovations from Emerson, follow them on Twitter at @Emerson_News  and on LinkedIn.  

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 SYNNEX Mario 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 innovations Related 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.

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.tech Podcast 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 modernization Related 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.

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.tech Christopher 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 spaces Related 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.

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.tech Paula 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 Anything Related 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.

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 Innovations Aji 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 ahead Related 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.

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.tech Ria 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 space Related 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.

Did you know that edge AI can provide better outcomes for surgical operations? A number of factors can influence what happens on the operating table, but with edge AI physicians can get real-time data and information about a procedure at their fingertips, minimizing patient risks. In this podcast, we explore the ways edge AI can assist physicians—both inside and outside the operating room—examining the benefits as well as the challenges, and what to expect from AI in the OR in the future. Join us as we explore these ideas with: Dennis Kogan, Founder and CEO, Caresyntax Christina Cardoza, Editorial Director, insight.tech Dennis answers our questions about Physicians' and patients' expectations Becoming comfortable with new OR technologies Different ways AI assists in surgical procedures The importance of AI combined with human expertise and data Implementing the latest and greatest technologies and innovations AI-assisted surgical operations in action The different types of partnerships that make AI in the OR possible Related Content To learn more about AI-assisted surgical technology, follow Caresyntax at @caresyntax and on LinkedIn.

As demand for the Internet of Things and intelligent solutions continues to grow, the 5G landscape must evolve with it. According to CCS Insight, over the next couple of years, artificial intelligence is expected to gain more traction in this space—enhancing availability, managing traffic, and providing self-healing capabilities to the network. Moreover, the rise of private networks and hybrid solutions, facilitated through network slicing, is anticipated to become the predominant approach for ensuring quality service. In this podcast, we look at how 5G and IoT networks have to adapt to the rapid pace of innovation, what's still to come in the 5G space, and when it will be time to start thinking about 6G. Join us as we explore these ideas with: Ian Fogg, Director of Networks, CCS Insight Christina Cardoza, Editorial Director, insight.tech Ian answers our questions about The changing 5G and IoT network landscape 2024 5G and IoT network predictions The growing demand for IoT and intelligent solutions AI's role in the future of 5G and IoT networks Sustainability efforts with intelligent networks A look toward the future of 6G Related Content To learn more about 5G and IoT network predictions, read the report Edge Computing and IoT Predictions for 2024 and Beyond and listen to Top IoT and Edge AI Predictions for 2024: With CCS Insight. For the latest innovations from CCS Insight, follow them on Twitter at @ccsinsight and on LinkedIn.

AI and edge computing take IoT to the next level, with new and exciting use cases expected over the next year and beyond. But as the rapid pace of advancements and investments unfolds, it raises the question: Are we accelerating too fast? In this podcast, we dive into the forefront of technological evolution, unveiling CCS Insight's top IoT and Edge AI predictions for 2024. We also navigate through responsible development of solutions and explore the impact AI is set to make in the coming years. Join us as we explore these ideas with: Martin Garner, Head of IoT Research, CCS Insight Bola Rotibi, Chief of Enterprise Research, CCS Insight Christina Cardoza, Editorial Director, insight.tech Martin and Bola answer our questions about: How the rise in edge AI impacts IoT If the cloud versus edge debate will continue What the future of AI development looks like The reality of generative AI  Business considerations for AI investments  Upcoming AI regulations and implications Developing AI with privacy in mind Where 5G fits into AI predictions Related Content To learn more about edge AI trend predictions, read the report Edge Computing and IoT Predictions for 2024 and Beyond. For the latest innovations from CCS Insight, follow them on Twitter at @ccsinsight and on LinkedIn. 

By now, almost everyone has heard of generative AI and its potential to revolutionize many industries. But does the hype align with the reality? As businesses search for ways to harness its power and gain a significant competitive edge, there are many questions: Which current generative AI opportunities can businesses start to take advantage of today? And what limitations do we still need to overcome? In this podcast, we dive into key benefits as well as challenges of building generative AI business solutions. We also talk about how to successfully build and deploy solutions that can help businesses take their efforts to the next level. Join us as we explore these ideas with: Teresa Tung, Cloud First Chief Technologists, Accenture Ramtin Davanlou, AI & Analytics Principle Director, Accenture Waleed Kadous, Chief Scientist, Anyscale Christina Cardoza, Editorial Director, insight.tech Teresa, Ramtin, and Waleed answer our questions about: The rise of and interest in generative AI Considerations for deploying generative AI solutions Taking generative AI out of the experimentation phase Biggest opportunities and use cases for generative AI The importance of partnerships and collaboration What's next for generative AI Final thoughts and key takeaways Related Content For the latest innovations from Accenture and Anyscale, follow them on: Twitter: @Accenture_US and @anyscalecompute LinkedIn: Accenture and Anyscale

Explore the groundbreaking AI innovations unveiled at Intel® Innovation 2023 to learn about the role of AI in solving real-world problems and becoming more accessible to developers. Paula answers our questions about: (1:54) Advancing AI and its role in real-world problem-solving (4:05) Intel's role in making AI easier and more accessible to developers (6:53) The biggest announcements from Intel® Innovation 2023 (10:46) OpenVINO™ and its impact on the Intel partner ecosystem (14:46) How developers can take advantage of the new SDK for Intel® Geti™ (18:22) Empowering women in AI (22:30) The future of AI development and tips for new developers Related Content To learn more about AI trends, read Evangelizing AI: The Key to Accelerating Developers' Success and listen to Personalized AI Shopping Experiences: With FIT:MATCH. For the latest innovations from Intel, follow it on Twitter @intel and on LinkedIn at Intel Corporation.

Shopping for a new wardrobe is an experience that should be enjoyable and stress-free. But with the range of choices available thanks to modern fashion, it can easily turn into a tedious chore of navigating the maze of sizing discrepancies among different stores and brands. Imagine if you could just step into the fitting room and have a selection of perfectly fitting garments already waiting for you. Thanks to the advent of AI and 3D technology, this vision is becoming a reality. The future? A personalized AI shopping experience. This podcast explores innovative ways that AI transforms the fitting room, both online and in-store, by providing shoppers with personalized recommendations tailored to their unique body measurements and preferences. This custom approach not only enhances customer satisfaction but also drives sales and conversion rates. Join us as we delve into the future of retail fitting rooms, where AI serves as the catalyst for an immersive, personalized, and seamless shopping experience. Join us as we explore these ideas with: Hillary Littleton, Head of Marketing, FIT:MATCH Christina Cardoza, Editorial Director, insight.tech Hillary answers our questions about Current AI trends in the retail space (2:47) Retail challenges for providing quality shopping experiences (4:31) AI helping advance retail technology (6:31) Benefits of improving the fitting-room experience (8:48) Implementing new retail technology online and in-store (11:13) Value of partnerships when creating innovative retail solutions (14:45) Future of retail technology (15:31) How AI can optimize the shopping experience (17:06) Related Content To learn more about personalized AI shopping experiences, read Phygital Experiences Help Fashion Retail Shine. For the latest innovations from FIT:MATCH, follow them on Twitter at FIT:MATCH.ai and LinkedIn at FIT:MATCH.ai.

When you have easy access to services like healthcare, it's easy to take them for granted. But rural areas all over the globe struggle to secure quality healthcare services. Due to a shortage of healthcare professionals and resources, extensive travel distances, and infrastructure limitations, many rural communities find themselves in an unfortunate position. But it doesn't have to be this way. Digital health solutions have made significant progress in recent years, allowing rural areas to overcome these challenges and ensure patients receive top-tier healthcare regardless of their location. In this podcast, we discuss the many benefits of digital health solutions for rural communities, as well as some of the challenges that need to be addressed to ensure the accessibility and effectiveness of these technologies. We also hear from experts about how digital health is used around the world to reshape the healthcare landscape. Join us as we explore these ideas with: Leonardo Melo, Co-Owner, Diagnext Jason Miao, Oversea Business Director, imedtac Moji Ghodoussi, VP of Business Innovation & Partnerships, Teladoc Health Christina Cardoza, Editorial Director, insight.tech Leonardo, Jason, and Moji answer our questions about: The struggle to bring quality healthcare to different regions How digital healthcare solutions have evolved over the past few years Challenges hospitals and healthcare providers face in rural areas Breaking down barriers with new tools and technologies Types of infrastructure necessary for virtual healthcare How to successfully deploy digital health solutions Lessons learned from end users and customers The value of partnerships for rural healthcare Healthcare opportunities still on the horizon Related Content To learn more about virtual care and digital health solutions, read Telemedicine Solutions: Closing Healthcare's Digital Divide, IoMT Technology Automates Vital Signs Measurement, and Teladoc Charts the Future of Telehealth.

IoT has permeated nearly every industry as businesses seek better access and insights into data and operations. But not all IoT devices are well suited for the rugged and sometimes harsh environments they are needed in—both outdoor and indoor. For example, a business that wants to deploy an IoT device in the field to monitor assets and detect anomalies must consider factors like the range of weather conditions and temperatures that the device may encounter. Fortunately, recent advancements in technology have made it easier to develop ruggedized industrial IoT devices that can reliably and efficiently operate in harsh environments. In this podcast, we will explore the recent advancements that have made rugged IoT a reality, the types of environmental concerns and risks that these devices must withstand, and the best approach for implementing rugged IoT devices in the field. Join us as we explore these ideas with: Jason Lu, Product Manager, ASUS David Zhu-Grant, Senior Product Manager, OnLogic Chad Hutchinson, Vice President of Engineering, Crystal Group Christina Cardoza, Editorial Director, insight.tech Jason, David, and Chad answer our questions about: The importance of rugged IoT Deployment challenges for harsh, outdoor environments Deployment challenges for indoor environments Overcoming rugged IoT deployment challenges Implementing rugged IoT devices Choosing scalable and future-proofed rugged IoT devices Use cases and real-world examples Leveraging partnerships to create better rugged IoT solutions Related Content For the latest innovations from ASUS, OnLogic, and Crystal Group, follow them on: Twitter: @ASUS, @OnLogic, @CrystalGroup LinkedIn: ASUS, OnLogic, Crystal Group

Location intelligence is already a part of our everyday lives, from using our phones to get directions to finding a nearby restaurant. But businesses now are starting to see the transformative potential of location intelligence. In fact, 95% of businesses now consider location intelligence to be essential, thanks to its ability to lower costs, improve customer experience, and enhance operations. But many businesses struggle to get the most out of their location data because it's often siloed in different departments or systems. AI and digital twins can help businesses to break down data silos and create a single, comprehensive view of their spaces in real time. AI can be used to analyze large volumes of location data and identify patterns and trends. Digital twins are virtual replicas of real-world objects or environments that can be used to track and monitor changes over time. In this podcast, we discuss the importance of location intelligence, the use of AI and digital twins for tracking and monitoring, and how to implement AI-powered tracking and monitoring safely and securely. Join us as we explore these ideas with: Tony Franklin, GM and Senior Director of Federal and Aerospace Markets, Intel  Christina Cardoza, Editorial Director, insight.tech Tony answers our questions about The importance of location intelligence Businesses' challenges with achieving real-time insights The role digital twins and artificial intelligence play Tools and technologies necessary for success Using Intel® SceneScape OpenVINO™, Geti™ for location intelligence Addressing privacy concerns with AI-powered tracking and monitoring Future advancements of AI, digital twins, and location intelligence Related Content To learn more about the importance of location intelligence, read Monitor, Track, and Analyze Any Space with Intel® SceneScape. For the latest innovations from Intel, follow them on Twitter @intel and on LinkedIn at Intel Corporation.

Edge computing is quickly becoming known for its ability to improve business operations by reducing latency, delivering high performance, and providing real-time insights. But despite its promise, many businesses—especially in the industrial space—struggle to successfully adopt edge computing. One challenge is that industrial edge computing can be complex to scale. While it is relatively easy to get started with a few edge devices, managing a large-scale edge computing infrastructure can be daunting. Additionally, lack of a single edge computing standard can make it difficult to integrate edge devices and applications from different vendors. To overcome these challenges, businesses need to take a strategic approach to edge computing adoption. This includes carefully planning their edge computing architecture, selecting the right edge devices and applications, and implementing a robust management and orchestration framework. In this podcast, we discuss the state of edge computing across different environments, how businesses can successfully approach edge computing, key challenges and how to solve them, and what the future holds for edge computing in this space. Join us as we explore these ideas with: Martin Garner, Head of IoT Research, CCS Insight Dan Rodriguez, VP and GM of the Network and Edge Solutions Group, Intel Christina Cardoza, Editorial Director, insight.tech Martin and Dan answer our questions about: 2:49 The state of edge computing 7:04 Different edge opportunities for businesses 11:14 Why adoption is more challenging for manufacturers 15:02 How to successfully approach edge computing 20:52 Lessons learned from industry examples 24:08 The edge computing ecosystem and partnerships 26:36 Future proofing investments and efforts 28:00 What's next for edge computing Related Content To learn more about adopting edge computing, read IoT Initiatives to Scale Industrial Edge Computing. For the latest innovations from CCS Insight and Intel, follow them on Twitter @ccsinsight and @intel, and on LinkedIn at CCS Insight and Intel Corporation.

There is a common misconception that AI will become an intrusive part of our everyday lives—but it's actually quite the opposite. The reality is that AI has the potential to enhance everyday life in many ways that we may not even notice. For example, AI video analytics can be used in smart cities to monitor traffic flow, identify hazards, and help emergency responders quickly respond to incidents. Of course, there are still concerns around security and privacy. But many companies are committed to implementing AI in a way that prioritizes user security. In this podcast, we talk about the opportunities AI video analytics provide communities, real-world use of AI video analytics in smart cities, and how to successfully deploy these systems in a safe and secure way. Join us as we explore these ideas with: Srivikraman Murahari, VP of Products and Strategic Alliances, Videonetics Christina Cardoza, Editorial Director, insight.tech Srivikraman answers our questions about ChallengesAI video analytics address in smart cities Implementing AI solutions that balance citizen privacy and well-being Developing and deploying solutions citywide Technology infrastructure that goes into successful deployments Creating end-to-end solutions with ecosystem partners Additional opportunities and use cases for AI video analytics Related Content To learn more about what Videonetics is doing in the AI video analytics space, follow them on Twitter and LinkedIn.

Are we in for an autonomous mobile robot (AMR) takeover? Not exactly. But we can expect to see more AMRs implemented across industries to streamline production, improve operations, enhance work safety, and increase productivity. That's because recent technology advancements have made the hardware and software components necessary to building these systems more cost-effective and accessible. And with artificial intelligence becoming more mainstream, it's now possible not only to create AMRs capable of doing human tasks but integrate them into human worker environments. In this episode, we talk about how all this is possible today, what we can expect in the future, top applications and opportunities for industries, and all the ins and outs of developing, deploying, and implementing AMRs safely and securely. Join us as we explore these ideas with: Claire Liu, Senior Product Marketing Manager, congatec Timo Kuehn, Systems Architect and Product Manager, Real-Time Systems Christina Cardoza, Editorial Director, insight.tech Claire and Timo answer our questions about: The meaning of autonomous mobile robots Implementing AMRs safely on the factory floor Developing AMRs to meet real-time demand Taking a modular approach when designing AMRs Tools and technologies necessary for AMR development Biggest use cases and opportunities for AMRs today AMR advancements we can expect Related Content To learn more about autonomous mobile robots, read IoT Virtualization Jump-Starts Collaborative Robots. For the latest innovations from congatec and Real-Time Systems, follow them on Twitter at @congatecAG and LinkedIn at congatec and Real-Time Systems GmbH.

Businesses and organizations are filled with all kinds of data that could provide valuable insights into their operations and decision-making. But first they need a strategy and the proper tools and technologies in place to put it all in motion. In this episode, we look at various data-driven strategies, challenges, and best practices from across industries. We also explore the key components of a successful data-driven culture, such as collecting and managing data, leveraging artificial intelligence and predictive analytics, and forming partnerships with other businesses. By understanding these concepts, businesses can harness the power of data to unlock insights and make informed decisions. Join us as we explore these ideas with: Saransh Karira, Head of Engineering, Awios Atif Kureishy, CEO and Founder, Vistry Christina Cardoza, Editorial Director, insight.tech Saransh and Atif answer our questions about The meaning of data-driven cultures Technological advancements making data more accessible Successfully implementing a data-driven strategy AI's role in creating data-driven cultures Lessoned learned from the industry Leveraging expertise from partners For the latest innovations from Awiros and Vistry, follow them on: Twitter at @awirosweb and @vistryai and LinkedIn: Awiros and Vistry

Long wait times and slow checkout lines have become all too familiar in retail stores. With each passing second, customers grow increasingly frustrated, leading to a negative impact on customer satisfaction, store business, and reputation. In today's fast-paced world, shoppers no longer tolerate such experiences. Fortunately, recent advancements in AI have opened doors to developing solutions that can significantly improve store operations and enhance customer journeys. But lack of in-house development resources poses a challenge for many retail stores looking to implement these innovative solutions. In this podcast, we explore the shifting landscape of customer expectations, innovative ways AI is used to address retail challenges, and skills and knowledge necessary to build, deploy, and implement AI across retail stores. Join us as we explore these ideas with: Ria Cheruvu, AI Software Architect and AI Evangelist, Intel Nicole O'Keefe, Senior Product Marketing and Operations Manager, Pathr.ai Christina Cardoza, Editorial Director, insight.tech Ria and Nicole answer our questions about Changing customer expectations and retail challenges How retailers can become more actionable with AI Building, developing, and deploying AI retail applications AI's business value and benefits for retailers Tools necessary for developing AI applications  Where developers can get started building solutions Successfully implementing AI solutions in stores Creating an end-to-end retail operations solution Continuing the success of AI in the retail space Related Content To learn more about developing retail technology, read The Future of Retail Technology Is Spatial Intelligence, visit Intel's AI Reference Kits, and join the OpenVINO™ discussion on GitHub to share your experiences. For the latest innovations from Intel and Pathr.ai, follow them on Twitter at @intel and @pathr_ai and LinkedIn at Intel Corporation and Pathr.ai.

The electric vehicle market is growing rapidly, and with it comes a number of challenges and opportunities. On the one hand, EV technologies offer significant environmental benefits. On the other hand, there could be consequences plugging these devices into the power grid. In this podcast, we explore the key challenges that need to be addressed before EVs can become truly mainstream. We will discuss the need for a robust charging infrastructure, the potential for EVs to revolutionize transportation, and how this technology can be safely and sustainably adopted on a large scale. Join us as we explore these ideas with: Maurizio Caporali, Chief Product Officer, SECO Ezana Mekonnen, Chief Technology Officer, Imagen Energy Christina Cardoza, Editorial Director, insight.tech Maurizio and Ezana answer our questions about: The rise of, and interest in, electric vehicles How the grid can keep up with the pace of the EV market Implementing EV technologies in a safe and sustainable way How EV technologies can utilize existing infrastructure Futureproofing today's efforts for scale and flexibility Leveraging expertise from different companies EV technology benefits from a user and business perspective Related Content To learn more about electric vehicles, read AI and CV Power Up the EV Charging Station Boom. For the latest innovations from SECO, follow them on Twitter at @SECO_spa and LinkedIn, and follow Imagen Energy on LinkedIn.

Did you know the average bare-metal physical security hardware system uses only 60% of available CPU resources and 45% of memory? As more industries transform their video camera systems into intelligent solutions capable of providing valuable insights, they could be underutilizing their resources. Fortunately, by adopting a virtual architecture, businesses can optimize their system resources by consolidating them within a virtual environment. This approach not only maximizes resource utilization but also reduces reliance on physical hardware, sometimes even by up to 50%. In this episode, we delve into the profound impact of virtualization on the video analytics field. We explore strategies to overcome implementation challenges and discuss why businesses should seriously consider making this transition sooner rather than later. Join us as we explore these ideas with: Darren Giacomini, Director of Business Development, BCD Christina Cardoza, Editorial Director, insight.tech Darren answers our questions about The evolution of physical security systems Challenges with obtaining valuable video data analytics The role of virtualization in providing valuable insights How to successfully make the move toward virtualization Lessons learned from others in the industry Partnerships backing the move toward virtualization The future of virtualization for businesses Related Content For the latest innovations from BCD, follow them on Twitter at @BCDvideo and on LinkedIn.

From diagnosing diseases to detecting defects on the production line to providing deeper insights into customer behavior—AI increasingly transforms the way businesses across all industries operate today. But who truly makes these deployments successful is developers creating AI models and solutions capable of providing business value. When AI developers are equipped with the right tools, technology, and knowledge, they have the power to make all kinds of exciting and innovative use cases. In this podcast episode, we discuss how AI is used to improve efficiency, make better decisions, enhance customer experience, and provide a competitive advantage. We also explore tools and technologies that allow developers to successfully build and deploy these AI models and solutions as well as touch on some of the latest capabilities in the OpenVINO™ 2023.0 release. Join us as we explore these ideas with: Yury Gorbachev, OpenVINO architect, Intel Raymond Lo, AI Software Evangelist, Intel Christina Cardoza, Editorial Director, insight.tech Yury and Raymond answer our questions about The evolution of artificial intelligence in recent years How developers benefit from AI advancements  Best practices for successful AI deployments  The five-year anniversary of the AI toolkit OpenVINO  New tools making AI more accessible to business users The future of AI and the role of OpenVINO What developers can expect in OpenVINO 2023.0 Related Content To learn more about AI development, read Development Tools Put AI to Work Across Industries. To learn more about the latest release of OpenVINO, visit https://openvino.ai/. For the latest innovations from Intel, follow them on Twitter and LinkedIn.

Get ready for the next phase of smart manufacturing, where a plethora of exciting advancements and transformative changes are expected to take center stage. We've already seen real-time analytics provide deep insight into operations and production, AI enhance worker safety and defect detection, and autonomous mobile robots introduced on the factory floor. But what about robots building robots or collaborative robots introduced alongside human workers on the production line?  These are just a few demonstrations presented at the latest Hannover Messe conference in April, and there's still so much more to look forward to. In this episode of the IoT Chat, we learn more about opportunities for industrial digitization, tools and technologies enabling manufacturing innovations, and obstacles the industrial space needs to overcome to achieve them. Join us as we explore these ideas with: Ricky Watts, Industrial Solutions Director, Intel Teo Pham, digital trends expert Christina Cardoza, Editorial Director, insight.tech Ricky and Teo answers our questions about Where the manufacturing space is headed Upcoming industrial AI applications we can expect How manufacturers can take advantage of new opportunities Determining the need for CPUs or GPUs Benefits of moving manufacturing to the edge The role of cloud in smart manufacturing  Related Content To learn more about smart manufacturing, read  Hannover Messe 2023: The Next Phase of Smart Manufacturing. For the latest innovations from Intel, follow them on Twitter and LinkedIn, and follow Teo on Twitter at @teoAI_

As telecoms strive to lower costs, improve scalability, and increase innovation, the move toward Open Radio Access Networks (RAN) and virtualized RANs (vRAN) is becoming more common. But this path forward is not without its challenges.  In this episode, we discuss the various interoperability, performance, and reliability considerations that telecoms must take into account as they move toward these new technologies. In addition, we'll explore how these concepts relate to one another, the latest advancements in the mobile and connectivity space, and how to stay one step ahead of the curve.  Join us as we explore these ideas with: Randy Cox, VP of Product Management and Industry Verticals, Wind River Brandon Lewis, Editor-in-Chief, Embedded Computing Design Christina Cardoza, Editorial Director, insight.tech Randy and Brandon answer our questions about Trends in the mobile and connectivity space The move to Open RAN and vRAN Wind River's role in telecom transformations Why telecoms should look at the latest Intel® Xeon® processors Wind River Studio's latest single-core support Important partnerships for mobile and connectivity What else there is to know about O-RAN, Open Ran, and vRAN Related Content To learn more about Open RAN and vRAN, read MWC 2023: Where IoT Networking Meets the Intelligent Edge. For the latest innovations from Wind River, follow them on Twitter and LinkedIn; and follow Brandon at @TechieLew.  

Join us as we explore these ideas with: Lisa McGarvey, Vice President, Solutions, Verticals, and Alliances at TDSYNNEX Matt Tyler, Vice President, Strategic Innovation and Business Development at Wachter, Inc. Ben Kotvis, Senior Architect at Insight Tobias Enders, CEO at GPA Christina Cardoza, Associate Content Director at insight.tech  Lisa, Matt, Ben, and Tobias answer our questions about: The evolving role of SIs and aggregators in the IoT world Challenges SIs and aggregators face in the IoT space The importance of SIs and aggregators when scaling across markets and regions Key IoT trends and opportunities for SIs and aggregators  Examples of how SIs and aggregators provide IoT support What they look for when choosing an SI or aggregator  The future of the IoT space and the roles of SIs and aggregators Related Content To learn more about system integrators and the IoT space, listen to Into the IoT Partner Multiverse with Tech Data EMEA and Seven Dirty Secrets of IoT. For the latest innovations from TD SYNNEX, Wachter, Inc., Insight, and GPA, follow them on Twitter at @TDSYNNEX, @WachterInc, @InsightEnt, and @GPA_AV and on LinkedIn at TD SYNNEX, Wachter, Inc.,  Insight, and GPA. 

Healthcare AI has become a powerful tool in the fight against cancer, allowing researchers to analyze vast amounts of data and make new discoveries faster than ever before. Join us as we learn about the innovative tools and technologies making cancer research and treatment improvements possible. We look at how AI is being used to identify new cancer treatments, predict patient outcomes, and how these systems can ensure personal information remains safe. We also discuss challenges and opportunities of using AI in cancer research, and how this technology transforms the way we approach cancer treatment and prevention. Join us as we explore these ideas with: André Aichert, Research Scientist, Siemens Healthineers Dr. Johannes Uhlig, Assistant Professor of Radiology, University Medical Center Göttingen Christina Cardoza, Editorial Director, insight.tech André and Dr. Uhlig answer our questions about: Recent AI advancements transforming healthcare Importance of technology and healthcare provider partnerships Advanced research platforms versus traditional platforms Using technology for cancer research and clinical purposes  Additional industry partners powering AI cancer research  The future of technology collaborations and cancer research  Related Content To learn more about healthcare AI transformations, read The Doctor Will View You Now. For the latest innovations from Siemens Healthineers, follow them on Twitter and LinkedIn. 

Join us as we explore these ideas with: John Dwinell, Founder and CEO, Siena Analytics Christina Cardoza, Editorial Director, insight.tech John answers our questions about Current challenges and trends facing the supply chain  IoT technologies for smart supply chain logistics Why AI-powered supply chains matter How to implement IoT and smart tracking technologies Ensuring the security and privacy of customer data The role of Siena Analytics in this space Dealing with changes in supply and demand Where smart supply chain logistics are going next Related Content To learn more about AI-powered supply chain logistics, read AI Unlocks Supply Chain Logistics. For the latest innovations from Siena Analytics, follow them on LinkedIn. 

Electric utility companies face multiple challenges in maintaining a reliable power supply. With extreme weather events, the impact of climate change, and an increasing global demand for electricity, they need to keep the lights on while also focusing on sustainability, energy efficiency, and decarbonization. These obstacles require electric utilities to rethink how they design, manage, and maintain the power grid to ensure its resilience, reliability, and affordability for the future. In this IoT Chat episode, we hear from industry experts and thought leaders at the forefront of this transformation. They discuss the latest innovations in grid modernization, including use of artificial intelligence, machine learning, and blockchain technology, and how these solutions help make the grid more resilient and secure. Join us as we explore these ideas with: Jani Valtari, Technology Center Manager, ABB Russell Boyer, Global Energy Field Director, Dell Technologies Prithpal Khajuria, Director of Energy, Intel Anthony Sivesind, Edge Solution Architect, VMware Christina Cardoza, Editorial Director, insight.tech Jani, Russell, Prithpal, and Anthony answer our questions about: Power grids' recent evolutions and changes State of the power grid today Ongoing efforts to modernize the power grid How to scale and measure the success of grid modernization The biggest opportunities for changes within the grid Emerging technologies to improve the power grid Real-world examples of grid modernization across the globe Importance of industry standards The future of grid modernization Related Content To learn more about efforts to modernize the grid, read Grid Modernization Powers the Way to a Decarbonized Economy and listen to ABB Talks Smart Grids, Substations, and Security. For the latest innovations from these companies, follow them on LinkedIn: ABB, Dell Technologies, Intel Internet of Things, and VMware.

Intel has recently released some of the most versatile processors available to IoT hardware engineers, AI software developers, and systems architects today. The 4th Gen Intel® Xeon® Scalable processors, codenamed Sapphire Rapids, offer a secure and powerful foundation for workload consolidation, edge AI, deep learning, and long life needed in demanding environments. In this podcast, we take a closer look at what this release means for the industrial and federal space, and explore advantages of these processors over previous generations, including increased versatility, security, and power. We also discuss how these new processors can help industrial organizations optimize their operations and improve efficiency. Join us as we explore these ideas with: Christine Boles, VP of the Network & Edge Group and GM of Federal & Industrial Solutions, Intel Christina Cardoza, Editorial Director, insight.tech Christine answers our questions about: What the release means to the federal and industrial space How the latest processors compare to previous generations Top use cases to benefit from the 4th Gen Xeon processors The role these processors play in edge adoption Related Content To learn more about the 4th Gen Intel® Xeon® Scalable processors, read Intel Boosts Edge Productivity with Processor Innovations. For the latest innovations from Intel, follow them on Twitter and LinkedIn.

In this podcast, we look at what this latest-generation CPU release means to the overall IoT and enterprise space, performance and capability advantages of hybrid microarchitecture design, and advantages that 13th Gen Intel® Core™ processors offer over previous generations. Join us as we explore these ideas with: Jeni Panhorst, Vice President & General Manager, Network & Edge Compute Division, Intel Christina Cardoza, Editorial Director at insight.tech Jeni answers our questions about Exciting new features of 13th Gen Intel® Core™ processors Advantages of hybrid microarchitecture How it compares to previous generations of processors New opportunities made possible by the latest processors Related Content To learn more about the capabilities and hybrid microarchitecture of 13th Gen Intel® Core™ Processors, read Intel Boosts Edge Productivity with Processor Innovations. For the latest innovations from Intel, follow them on Twitter and LinkedIn.

Ask manufacturers if they're familiar with Industry 4.0 and it's likely you'll get a “yes.” But ask if they're taking full advantage of its benefits, and many of those yesses change to no or I'm not sure.  As the world becomes increasingly digital, it's critical that factories keep pace with changes by bringing AI to the shop floor and adopting software-defined factory automation. In this podcast, we examine key trends transforming industry operations—including the increasing use of digital twins and the expanding role of edge devices and AI capabilities. We also look at why it's vital that factories close the communication gap between OT and IT teams, implement technology standards for standardization, and ensure new manufacturing technologies are as accessible and user-friendly as possible.   Join us as we explore these ideas with: Rainer Brehm, CEO of Factory Automation, Siemens Christina Cardoza, Editorial Director, insight.tech Rainer answers our questions about: The ongoing evolution of the factory floor Challenges associated with industrial digital transformation New complications and opportunities that come with edge and AI Examples of how others in the industry handle these changes The value of collaboration and partners for factory automation  How to leverage the latest technology updates  Related Content To learn more about factory automation, watch 5G Is Here: What Does It Mean for the Factory? For the latest innovations from Siemens, follow them on Twitter at @Siemens and LinkedIn. 

Operating a quick-service restaurant is not for the faint of heart. Whether it's ensuring inventories are sufficient, kitchens are suitably staffed, fickle customers are satisfied, or meal quality is consistent across multiple locations, food service is one industry in need of a ready solution that can address these challenges. In this podcast, we discuss why AI may be the ideal answer for overstretched restaurants. Specifically, we dive into how restaurants can use cloud vision AI platforms to guarantee only the freshest food is served. In addition, we explore how AI can help transform restaurants into efficient, data-driven operations capable of ensuring meal order accuracy, reducing kitchen stress, and seamlessly integrating with third-party delivery services. Join us as we explore these ideas with: Hauke Feddersen, Vice President of Operations, PreciTaste Christina Cardoza, Editorial Director, insight.tech Hauke answers our questions about Demand for AI in the food service industry New expectations from customers Integrating with third-party delivery services Implementing AI into a quick-service restaurant (QSR) Taking an edge computing and cloud approach QSRs that have implemented AI-based solutions Future use cases of AI in restaurants Related Content To learn more about AI in the food service industry, read When the Customer Experience Feels Deeply Human. For the latest innovations from PreciTaste, follow them on LinkedIn.