AI in healthcare sounds complex, but the real challenge isn’t AI—it’s data, trust, and decision-making.

In Episode 3 of AI Thoughtmakers, host Prem Goswami sits down with Rakshith Gowda, Product Manager at GeekyAnts, to discuss the realities of healthcare transformation in the AI era.

The conversation explores why healthcare organizations often focus on AI before addressing their biggest challenge: data quality. Rakshith shares practical insights from healthcare consulting engagements, explaining how trust, accountability, and decision-making play a far bigger role in successful AI adoption than the AI models themselves.

From messy healthcare datasets and system integration challenges to predictive healthcare and responsible AI implementation, this episode offers a grounded perspective on what it takes to build healthcare solutions that create real value.

Whether you're a healthcare founder, product manager, technology leader, or someone exploring AI in healthcare, this episode provides actionable insights on building systems that are reliable, scalable, and trusted.

What You'll Learn

• Why data quality is the biggest challenge in healthcare AI
• The myth that AI can solve every problem
• How trust impacts healthcare technology adoption
• The role of product managers in healthcare AI initiatives
• AI consulting: solving business problems vs implementing tools
• Why not every healthcare problem requires AI
• The risks of poor-quality healthcare data
• Accountability in AI-powered healthcare systems
• Real-world examples of healthcare data validation
• The future of predictive healthcare systems

Connect with the Speakers

Rakshith Gowda
LinkedIn: https://www.linkedin.com/in/rakshith-gowda-pm/

Prem Goswami
LinkedIn: https://www.linkedin.com/in/premgoswami/