Are we on the brink of a narrative revolution in AI analytics? This week I had a conversation with Steve Wasick, Founder & CEO of infoSentience, where we explore the intersection of AI, storytelling, and data analytics. Unlike the conventional approach of large language models (LLMs) like GPT, we explored world of 'conceptual automata', a game-changing technology that redefines how we perceive and generate narratives from complex data sets.
We touched on the challenges that traditional LLMs face in maintaining accuracy and context, especially when dealing with large volumes of data. We also highlighted the unique flexibility and customization capabilities of conceptual automata, which allow for more accurate, interactive, and context-aware reporting – akin to having an intelligent, data-savvy journalist at your fingertips.
But, this wasn't just about the tech as is true with all my discussions. We hit on the future of AI in business, the ethics of AI-generated content, and most importantly, the irreplaceable value of the human element in interpreting and strategizing from AI-provided insights. For anyone intrigued by the potential of AI to transform not just how we analyze data but how we narrate and understand it, you'll want to check it out.
And, be sure to read the complete summary on SubStack: https://christopherlind.substack.com
Show Notes:
00:00 - Introduction AI in Reporting and Analytics
13:56 - InfoSentience's Unique AI Approach
28:09 - AI's Impact on the Role of Analysts
32:09 - Human Behavior and Psychology in Tech
38:15 - Adapting to Technological Shifts in Professional Roles
46:04 - Customization and Data Modeling in AI Solutions
50:16 - Content Creation and Transparency in AI
57:40 - Limitless Potential of AI in Business Intelligence
