AI Partnerships Drive Developer Innovation

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.