Learn about the latest innovations around Generative AI, featuring AWS, Microsoft and Google keynotes, and how to architect safe, responsible and secure LLM solutions.
Scroll down to see the full and detailed agenda, plus expert speakers. Click on their name to view their Linkedin profile, and session title for additional information. There is time for live interaction/Q&A with the speakers so have your questions ready. CPE credit hours are provided.
Date/Time: Tuesday, July 30, 9:30 am until 12 Noon ET
Please use your Angelbeat account - created on the secure Memberspace platform, at no charge - to register to attend this program, 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.
9:40 Naresh Jasotani, Principal Technologist, Gen AI Ambassador, Google
Vertex AI offers access through the Google Cloud to Gemini models, which are capable of understanding virtually any input, combining different types of information, and generating almost any output.
Learn how to prompt and test in Vertex AI with Gemini, using text, images, video, or code.
With Gemini’s advanced reasoning and state-of-the-art generation capabilities, developers can try sample prompts for extracting text from images, convert image text to JSON, and even generate answers about uploaded images to build next-gen AI applications.
In addition to Gemini, you can access and deploy Gemma, a family of lightweight, state-of-the-art open source models, built from the same research and technology used to create the Gemini models.
10:05 Dwayne Natwick, CEO, Principal Cloud and Security Training Architect, Captain Hyperscaler
How to Organize your Data Estate for AI
Governance and preparation of your data is an important part of developing a strong strategy for the use of artificial intelligence. Using the tools available to you to know, classify, and protect your data is one of the most important steps in protecting the privacy of sensitive information and PII. This session will discuss strategies to manage this risk and create a organizational level of governance and digital trust.
Amazon Bedrock, the Easiest Way to Build and Scale Generative AI Applications with Foundation Models.
Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI, and Amazon through a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.
Using Amazon Bedrock, you can easily experiment with and evaluate top FMs for your use case, privately customize them with your data using techniques such as fine-tuning and Retrieval Augmented Generation (RAG), and build agents that execute tasks using your enterprise systems and data sources.
Since Amazon Bedrock is serverless, you don't have to manage any infrastructure, and you can securely integrate and deploy generative AI capabilities into your applications using the AWS services you are already familiar with.
10:50 Shadab Hussain, Data and AI Sales Director, Microsoft
Empowering the future of industry through Microsoft's Generative AI Platform
Learn about Microsoft’s strategic partnership with OpenAI and the value of running Generative AI applications, power by OpenAI, through the Microsoft Azure Cloud.
11:15 Priya Aswani, Director Architecture and Strategy, Microsoft
Copilot for Work: Get to know your new AI assistant
This informative and technical session will focus on Copilot for Microsoft 365, Microsoft’s Generative AI agent that turns your words into the most powerful productivity tool on the planet.
You will learn about the various components of CoPilot and how to successful deploy/customize it within your organization, covering both technical considerations and the human impact on changing job/work responsibilities.
11:40 Aaron Trockman, WW Channel SE Leader, Wiz
Build a Cloud Security Program for Resiliency and Scale: In an era where cloud resilience is paramount, financial institutions face the challenge of effectively managing risks in their cloud infrastructure. This session delves into essential strategies for comprehensive cloud security, covering hybrid, multi, public and private architectures/platforms, addressing these highly relevant topics:
Discover how to achieve complete visibility, analyze risk, protect sensitive data and workloads, enhance threat detection, and maintain compliance.
Drawing on Wiz's extensive experience in securing cloud environments for financial institutions, learn about the capabilities of Wiz's leading cloud security platform.
Gain insights into minimizing risks, detecting threats early, and building a robust cloud resiliency plan tailored to the evolving demands of 2024 and beyond.