Achieving Factory Automation: With Siemens

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.