Hey, Software Without Borders fans! Tomas Hilliard here, joined by Olivier Poulard, diving into the AI revolution with Jack Teitel, founder of Tidal AI and an AI/ML maestro with over a decade of experience. Jack shares game-changing insights on leveraging AI in healthcare, software development, and beyond, emphasizing data privacy, human-AI collaboration, and avoiding overhyped pitfalls. From speeding up coding 3-5x to ensuring scalable solutions, this episode is packed with actionable strategies for business leaders. If you’re ready to unlock AI’s true potential for your organization, hit play now! Subscribe, leave a five-star review, and join us for more tech innovation talks.

Guest Introduction:

Folks, we’re thrilled to have Jack Teitel on the show! Jack’s a trailblazing AI/ML specialist and founder of Tidal AI, with a stellar career spanning healthcare, computer vision, and large language models. From leading data science teams in hospital networks to revolutionizing software development, Jack’s all about delivering real business value. His insights are a goldmine for anyone looking to harness AI’s power—let’s dive in!

Key Takeaways:

AI shines brightest when it’s targeted: Jack emphasizes building AI for specific tasks to assist humans, not replace them, for maximum impact.

Data privacy is non-negotiable: Lessons from healthcare, like HIPAA compliance, show how to secure data while unlocking AI’s potential.

Code faster, but stay sharp: AI coding tools can boost speed 3-5x, but developers must understand every line to avoid tech debt.

Monitor and adapt: Regular model and data drift checks are crucial to keep AI tools effective in dynamic environments.

Start now or fall behind: AI adoption is becoming a business requirement—act within 3-5 years to stay competitive.

Train your team: Proper training ensures employees embrace AI tools, driving measurable ROI.

Chapter Markers:

0:00 Intro

0:04 Guest Introduction

0:50 Jack’s Journey into AI

4:06 AI in Healthcare: Impact and Insights

7:44 Data Privacy Lessons from Healthcare

11:04 Gaps in AI Adoption: Avoiding the Hype

14:21 Turning AI Concepts into Business Value

17:07 AI’s Role in Software Development

29:57 Garbage In, Garbage Out: Ensuring Quality

32:28 Scaling AI for Small and Mid-Sized Companies

35:09 Monitoring AI for Efficiency

39:03 Tackling Model and Data Drift

43:33 Signals for Reevaluating AI Strategy

46:23 Closing

Keywords:

Tomas Hilliard, Olivier Poulard, Jack Teitel, Software Without Borders, AI, machine learning, Tidal AI, healthcare AI, data privacy, HIPAA, AI coding tools, software development, business value, model drift, data drift, AI strategy