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Paul Koullick: AI-Driven Systems, Beyond Rules-Based Software and Revolutionizing Tax Filings
Manage episode 378834704 series 3515340
Το περιεχόμενο παρέχεται από το Tina Yazdi. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Tina Yazdi ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.
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
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