Paul Koullick: AI-Driven Systems, Beyond Rules-Based Software and Revolutionizing Tax Filings

You can view screen-share from Paul on Youtube here

In this episode, Keeper's Founder and CEO Paul Koullick explores the transformative impact of AI for tax preparation software. He discusses the limitations of rules-based systems and how AI, as exemplified by Keeper, simplifies tax preparation with machine learning.

Paul also delves into the changing perception of AI, from being a novelty to a valuable tool for various industries, emphasizing its broader applications in user interfaces and product development.

Additionally, the podcast addresses the role of AI in job markets, emphasizing its potential to enhance productivity rather than replace jobs. Paul provides practical advice for job seekers assessing AI technology in companies and offers insights into personal AI use cases, including travel planning and customer support.

Tune in for a comprehensive exploration of AI's evolution, impact, and practical implications in various domains.

Episode References:

• Choosing between a rule-based vs. machine learning system
• GPT 3 vs. 4: Know The Difference
• CLIPPY
• Ask an AI Account Research Paper (Keeper)
• More Whitepapers on Keeper
• More about Keeper

Connect with Paul here:

• Paul Koullick on Linkedin
• Paul Koullick on Medium
  
  

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Disclaimer: The opinions expressed in this episode are personal and do not reflect the official stance of any organization. Content is for informational purposes only.