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  • Imagine being able to predict machine failures, detect defects, prevent costly downtime, and ensure working safety in real time. That’s exactly what AI-powered manufacturing aims to do.

    It’s no longer just about efficiency. AI revolutionizes the factory floor, boosting product quality, reducing waste, and personalizing training for higher productivity. Is your factory ready to take on these changes?

    Join us as we explore the opportunities and challenges of embracing and integrating AI in manufacturing. We address concerns, share success stories, and equip you with the knowledge to build a smarter, safer factory.

    Join us as we explore these ideas with:
    Aji Anirudhan, Chief Sales & Marketing Officer, AllGoVision
    Jonathan Weiss, Chief Revenue Office, Eigen 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.

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  • 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_