May 4 AI/ML ChatGPT — Angelbeat.com

MAy 4 AI, ML, Automation, Chatbots

Generative AI, Machine Learning (ML), Chatbots and Automation are some of the most important technology developments in 2023 - and the focus of this highly relevant webinar. Learn about Microsoft ChatGPT enterprise use cases and deployment recommendations, competing offerings from Google Bard and AWS Sagemaker, and complementary solutions from third party providers like Redis, that work across all Chatbot and AI platforms.

Scroll down for the agenda; click on speaker’s name and subject for more information. The webinar (hosted on Zoom) starts at 11:30 AM ET, 8:30 AM PT. Two (2) CPE credit hours are provided.

ANGELBEAT ACCOUNT: ONE-CLICK WEBINAR REGISTRATION, VIDEO & SLIDE ACCESS
Please use your Angelbeat account - created on the secure Memberspace platform - to register to attend this webinar. If you have an account, you are asked to confirm your registration (very simple). Otherwise you are prompted to fill out a basic form with your contact details, which signs you up for this webinar, creates an account for easy, one-click future registrations, plus gives you access to slides and videos.

With this new initiative, there may be questions. Email CEO Ron Gerber at rgerber@angelbeat.com and he will get back to you immediately.

Speakers, Topics, Agenda

11:30 am ET, 8:30 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.

11:35 ET Balamurugan Balakreshnan, AI/Cloud Transformation Leader

ChatGPT and AI Enterprise Deployments: Live demonstration of the Azure OpenAI Chatbot and functionality within Bing Search, plus insights on Responsible AI and creating real business value from deploying ChatGPT within your organization.

12:05 ET Akshay Saxena, Principal Solutions Architect

AWS Generative AI Solutions: Integration of AI/ML services and Sagemaker capabilities within your software and IT operations.

David Marsh, Principal Solutions Architect

AWS Generative AI Solutions: Enterprise Case Study Examples and Deployment Recommendations.

12:35 ET Sam Partee, Principal Applied AI Engineer

Build an Ecommerce Chatbot With Redis, LangChain, OpenAI: OpenAI language models were not trained on your company’s data. If you want the chatbot to rely on it, you need to retrieve then provide OpenAI with relevant data at runtime. This retrieval process is critically important in ensuring the accuracy and speed of your Chatbot, and is the focus of this session.

12:55 ET Sagar Kewalramani, Customer Engineer, Advanced Analytics, ML, AI Leader

Generative AI Enterprise Solutions on the Google Cloud: Build generative AI applications quickly, efficiently, and responsibly, using the Pathways Language Model (PaLM). PaLM is a 540-billion parameter, dense decoder-only model that leverages “Transformer”, a novel neural network architecture with a self-attention mechanism, that is very well suited for language understanding.