Technology
Join us for an illuminating virtual event in our AI series, "The Art of the Possible: Putting LLMs to Work for You," where cutting-edge insights meet practical applications.
Delve into the transformative world of Large Language Models (LLMs) with an educational introduction and get an up-to-the-minute understanding of the capabilities that make these AI marvels tick.
Led by Gregg Burke from Stellar, this event goes beyond theory to showcase real-world examples across various industries. Explore high-level instances of how different verticals harness the power of LLMs today to streamline processes, enhance customer experiences, and unlock novel opportunities for growth.
We will save time for a dynamic Q&A session and open forum, where your questions and curiosities can take center stage. Seize this chance to gain insights, share thoughts, and explore the vast potential of LLMs with industry peers and AI enthusiasts.
Don't miss "The Art of the Possible: Putting LLMs to Work for You." Reserve your spot now for this enlightening virtual and free event.
ABOUT GREGG BURKE:
Gregg is an expert in exploring customers business problems and providing unique technology solutions to enable growth, customer value, and cost optimization. He is a business intelligence expert, designing data structures that enable high value business insights and outcomes. Gregg has been a critical part of driving growth at leading technology businesses including Nimble Storage, Nutanix, and AI/business analytics leader, ThoughtSpot. He has powered customer solutions across healthcare, CPG, retail, and financial services always focusing on meaningful outcomes for customers.
Find us online:
- Website: https://www.greatdataminds.com/
- List of upcoming events: https://www.greatdataminds.com/events/
- Community page: https://www.greatdataminds.com/commun...
Connect with us on social:
- LinkedIn: https://www.linkedin.com/company/great-data-minds/
- LinkedIn Group: https://www.linkedin.com/groups/14013748/
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- Twitter: https://twitter.com/GdMinds
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