IoT Chat Podcast insight.tech

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.