The End of BI: What Every Data Pro Should Know
Prepare to rethink everything you know about Business Intelligence (BI) in "The End of BI: What Every Data Pro Should Know." This captivating episode dives deep into the transformation of BI and how foundational models are set to revolutionize data science, machine learning, and analytics. You'll gain insights into the advantages and disadvantages of large language models and discover their specific applications in decision support systems. Compare and contrast the evolution of technologies like Kubernetes with the rise of small language models, and explore how these advancements impact data governance and quality.
Stay ahead by understanding the role of Python, R, REST API, SOAP API, and Transformers in this new era. Keep exploring, keep learning, and join the discussion! Don't forget to like, subscribe, and share your thoughts in the comments. Follow us on social media for more cutting-edge insights. Our mission is to make data a mainstream topic, empowering you to leverage it for your business success. Tune in and be part of the data revolution!
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CHAPTERS:
00:00 - Introduction
01:42 - Eric Kavanagh’s Radio Station
03:44 - The End of Business Intelligence
08:00 - Importance of Data Management and Governance
09:16 - Impact of Foundational Models on Business Intelligence
13:18 - Understanding Generative AI
15:16 - RAG Ecosystem Overview
17:46 - Functionality of Emerging Technologies
20:50 - Best Use Cases for AI
22:19 - Business Intelligence Insights
24:30 - Chatbots in Modern Business
26:34 - Misuse of AI Technologies
27:21 - Building Custom AI Models
31:33 - Ending the Madness in AI
33:16 - Future of Decision Support Systems
36:40 - AI Agents and Their Role
38:52 - User Story Highlight
42:15 - AI Chips for Small Companies
44:27 - Future of Microsoft Copilot
46:12 - Career in Prompt Engineering
47:25 - Delphix Discussion
50:03 - Ensuring Data Quality
57:00 - Closing Remarks
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