Navigating the Generative AI Solutions Landscape

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