july 13 data, AI-Powered analytics
Learn about the latest innovations around DATA - Generative AI-Powered Analytics, Silo Elimination, Security, Governance/Compliance, High-Speed Data Ingestion Across all Data Types, Data Locality and more - featuring expert speakers from Microsoft, AWS and other leading firms. Two (2) CPE credit hours are provided.
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 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 pm ET Balamurugan Balakreshnan, Director/Principal Cloud Solution Architect, AI and Data Analytics Leader
Microsoft Fabric, Data Analytics Powered by Generative AI/ChatGPT: Reshape how everyone accesses, manages, and acts on data and insights by connecting every data source (across databases, data warehouses, data lakes) and analytics service together - on a single, AI-powered platform.
1:30 pm ET Guy Raz, Solution Architect
Expediting Time to Data: How Data Security Platforms make data available and secure, to ensure data analytics applications
1:50 pm ET Talon Miller, Senior Technical Product Marketing Manager, Chief Storyteller
Make Kubernetes Even More Efficient: More Benefits, Fewer Challenges
2:10 pm ET Yadukishore Tatavarthi, Senior Solutions Architect
Amazon DataZone: Unlock data across organizational boundaries with built-in governance, to eliminate Data Silos, meet Data Locality requirements, and ensure that Generative AI applications are compliant with, and do not violate violate, internal corporate guidelines and applicable regulations.
