Multisensory AI: The Future of Predictive Maintenance

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.