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Details

Register on the event website to receive join link:
https://www.aicamp.ai/event/eventdetails/W2022092807

Description:
Join us for a FREE one-day virtual event where we'll explore the importance & impact of using a semantic layer for data & analytics.
Hear from top data leaders, technologists, & industry experts on how to deliver actionable insights for everyone in your organization.
Featuring 30+ Enterprise Data Leaders & Top Industry Technologists, including:

  • Keynote Sessions: 3 keynote sessions featuring Bill Inmon (the father of the data warehouse) & Kirk Borne (Chief Data Scientist & top AI influencer) as well as leaders at Cigna, Bank of America, & many more Enterprises
  • Expert Sessions: The 30-minute sessions will span a variety of formats and subjects. From semantic layer basics to best practices, there’s bound to be something for everyone
  • Interactive opportunities: We see this as a conversation for everyone. Throughout the day, you’ll have the chance to participate, chat with other attendees, and more
  • Meaningful connections: Be ready to meet other brilliant minds, exchange ideas, network, and lay the foundations for new, valuable partnerships thanks to our Networking area
  • Extra content and recordings: You’ll have access to all recordings after the event is over, so you can go back and rewatch the sessions you didn’t catch live. We’ll also share slides and more

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More AI/ML/Data tech events up coming (free join from anywhere):
🔷 Aug 23, ML Tutorial: Taking ML models into production (Online)
🔷 Aug 23, Conference: Ray ML Summit (San Francisco and Online)
🔷 Sep 7, Data Engineering Night (London)
🔷 Sep 13, Chief Data and Analytics Officer, Government 2022 (Washington DC)
🔷 Sep 19, Chief Data and Analytics Officers, APEX West (Phoenix)
🔷 Sep 20, DoorDash: Building Scalable Real Time Event Processing with Kafka and Flink (Online)
🔷 Sep 28, Semantic Layer Summit 2022 (Online)
🔷 Sep 29, Data-Centric AI Summit 2022 (Online)

Related topics

Artificial Intelligence
Machine Learning
Data Analytics
Data Science
Business Intelligence & Data Warehousing

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