August 8 generative AI Apps devops k8
Learn about the latest technology innovations around Generative AI, Machine Learning, Applications, DevOps, Kubernetes, Cloud Native Design, AppSec and more, featuring expert speakers from Microsoft, AWS, Google and other leading firms. Three (3) CPE/CEU/CLE credit hours are provided.
The opening Orrick keynote covers rapidly evolving legal issues around Generative AI, including preventing your proprietary data from being used by competitors, understanding copyright and intellectual property risks from AI-generated content, complying with Federal and International laws, and more.
Please use your Angelbeat account - created on the secure Memberspace platform, at no charge - to register to attend this webinar (hosted on Zoom), which also lets you download slides, watch on-demand videos, plus signup for future programs with one-click. If you already have an account, you will be asked to confirm your registration. Otherwise you are prompted to fill out a simple contact form.
If you have any registration questions email rgerber@angelbeat.com and we will get back to you right away.
Speakers, Topics, Agenda
1 pm ET, 10 am PT Ron Gerber, CEO Angelbeat
Angelbeat and Webinar Overview: Angelbeat CEO and webinar emcee Ron Gerber summarizes the agenda, briefly describes each presentation topic, and encourages attendees to ask live questions at the end of each session.
1:05 Mark Seneca, Corporate Partner, Technology Focus
Generative AI Legal Considerations: Preventing your proprietary data from being used by competitors to train their AI models. Understanding copyright and intellectual property risks from AI-generated content. Complying with newly-evolving Federal, State and International laws. Ensuring that legal considerations do not delay exciting AI-projects that save money and boost productivity.
1:30 Veda Raman, Senior AI/ML Solutions Architect
Generative AI on AWS: Learn about Amazon Bedrock and Amazon Titan models, the easiest way to build and scale generative AI applications with Foundation Models (FMs), plus the general availability of Amazon EC2 Trn1n (powered by AWS Trainium) and Inf2 (powered by AWS Inferentia2) instances, the most cost-effective cloud infrastructure for generative AI.
1:55 Anton Unmikov, Principal Solutions Architect
Redis Real-time Data in Action from ChatGPT to Hello World: Join Redis Principal Solution Architect, Anton Umnikov, for a discussion on generative artificial intelligence, large language models, and databases. Anton will discuss how large language models have taken the world by storm. There will be specific emphasis on real use cases. While there’s a ton of hype, there’s also an explosion of real potential. Thanks to emerging first-party capabilities such as vector storage and search, Redis fundamentally changes how organizations leverage natural language processing, LLMs, GenAI models, and real-time machine learning workloads.
