AI (Artificial Intelligence) Webinars

Learn how to enable task automation, enhance productivity, and improve design accuracy in this webinar. Register now to get access to AutoCAD technical experts for live Q&A.

Maximizing image quality is a key objective when developing embedded vision systems, since computer vision algorithms can only interpret what they can "see." This webinar explores the major types of Image Signal Processors (ISPs) currently in the market, the role of ISPs in embedded vision systems, and how ISPs can be fine-tuned. The webinar also includes real-life case studies that illustrate the power of ISPs.

Generative AI has opened doors to innovative possibilities and is considered an essential part of enterprise transformation. But, developing and deploying an end-to-end AI pipeline poses opportunities and challenges. A full-stack approach allows enterprises to overcome obstacles - such as technical complexities, model performance, and time to value - and speed up success.

Discover an informative webinar delving into the important and potential impacts of radiomics and artificial intelligence (AI) based technologies in modern drug development. The discussion will cover how AI is currently being utilized, especially in drug discovery, and delve into the emerging field of radiomics and AI approaches in clinical-stage drug development and drug commercialization. The webinar will also explore real-world use cases and discuss the current and future challenges of this field.

Join us for an inspiring webinar as we hear the career journey of Tayo Adesanya. Tayo has navigated a unique trajectory to become a leading expert in computer vision custom chip design. Discover his insights, challenges, and triumphs as he shares his story of breaking barriers and excelling in a cutting-edge field. Don't miss this opportunity to gain valuable perspectives and motivation for your own journey into the world of tech!

The big to better data imperative has arrived. We are squarely in the middle of an AI boom, with Generative AI promising to take us into a new era of productivity and prosperity. But delivering on that promise will require a new model that promotes better - and trusted - data. Which data, analytics, and AI trends are looming as a result - and what do you need to know to get and stay ahead? Join us on January 17 for a Qlik webinar, Bridging the Trust Gap in Generative AI: The Big to Better Data Imperative. We'll reveal and explore the top 10 trends around data, analytics, and AI that will impact your organization over the coming year. Hint: it's all about trust.

Discover how AI can revolutionise education and empower educators at our online event "Harnessing AI for Educators" on 17.01.24 at 15:30

With the rapid adoption companies across all industries have the opportunity to use generative AI to create personalized content, improve customer engagement, and increase operational efficiency. In this talk, Alexander Wachtel, Microsoft AI MVP & MCT, explains how you can revolutionize your company using Azure OpenAI. Through generative AI and the integration of company-internal knowledge sources, human-like texts can be generated for all customer inquiries. This talk provides a basic understanding of generative AI and introduces the possibilities of Azure OpenAI.

More than 80% of Gartner clients are investing in AI or generative AI (GenAI) in some capacity. Join this complimentary AI webinar as Gartner expert Fran Karamouzis takes you through different categories of generative AI, the cost side of the equation, the value measurements, and real-life examples of organizations that have taken action and funded initiative, so your organization can determine your best path forward.

Presented by Chris Von CsefalvayLarge language models (LLMs) like GPT have captured the public's attention, raising both overinflated expectations of generalized artificial intelligence (AGI) and fears of a takeover of the machines. Yet, in the right hands, LLMs can be powerful tools of improving public health surveillance, detecting early signals of pathogenic outbreaks from noisy social media and support data-driven decision-making at a hitherto unprecedented scale. This presentation will briefly introduce what LLMs are (and, more importantly, what they aren't), followed by a discussion of possible applications in public health as well as their risks, concluding with an equity-centered perspective on creating safe and unbiased AI/ML tools. Public health experts will undoubtedly find themselves as consumers of, and sometimes interactors with, such models, making it all the more crucial to build a fact-based understanding of this new tool and discuss how its risks are best mitigated.