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/

In this episode of AI Thoughtmakers, Prem Goswami sits down with Sridhar, Associate Director of Design at GeekyAnts, to explore the future of AI-powered customer experience, UX design, and digital product innovation.

The conversation covers how AI is reshaping product design, why customer experience often fails in large enterprises, and how designers can leverage AI tools like Figma and Claude to enhance creativity, research, and decision-making. Sridhar shares practical insights on design thinking, UX research, mobile-first product strategy, system thinking, and the growing importance of AI literacy and prompt engineering for modern design teams.

Key topics discussed:
• AI and the future of digital customer experience
• Will AI replace UX and product designers?
• Customer experience (CX) vs technology-first thinking
• UX design as a cross-functional business function
• Mobile-first design and digital product strategy
• AI tools for designers and product teams
• UX research and customer journey optimization
• Design systems and scalable product experiences
• Prompt engineering for designers
• Personalization and predictive customer experiences
• Design leadership in the AI era
• Building user-centric digital products

Whether you're a designer, product manager, founder, CX leader, or technology professional, this episode provides actionable insights into creating meaningful, AI-enhanced customer experiences that users love.

Connect with Sridhar:
LinkedIn: https://www.linkedin.com/in/sridhar-design-leadership

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

Subscribe to AI Thoughtmakers for conversations on Artificial Intelligence, Product Innovation, Digital Transformation, UX Design, Customer Experience, and the future of technology.

What does it really mean to become an AI-first enterprise?

In this episode of AI ThoughtMakers, we sit down with Sarika Gowtham, Principal Technical Consultant at GeekyAnts, to explore why so many AI initiatives fail despite significant investments and growing enthusiasm around artificial intelligence.

The conversation dives into the reality behind AI adoption, highlighting the challenges organizations face when trying to integrate AI into legacy systems, modernize their architecture, and build engineering teams ready for an AI-driven future.

From system design and software architecture to AI-assisted development and enterprise transformation, this episode offers practical insights for founders, engineering leaders, CTOs, and developers looking to move beyond the hype and build AI the right way.

In This Episode

✅ What an AI-first enterprise actually looks like
✅ Why most AI projects fail (and it's not because of AI)
✅ The biggest misconception organizations have about AI adoption
✅ Legacy systems vs AI-ready architecture
✅ Why system design is becoming more important than coding alone
✅ How AI is changing the role of software engineers
✅ Can AI replace engineers? The real answer
✅ Measuring AI success beyond demos and prototypes
✅ The balance between trusting AI and validating outputs
✅ Why enterprises struggle against AI-native startups
✅ The skills engineers need to thrive in the AI era

Key Takeaway

AI is not just another technology upgrade—it's a shift in how organizations think, build, and operate.

While AI can accelerate development and decision-making, success depends on strong architecture, thoughtful system design, and engineers who can solve complex problems beyond code generation.

AI won't replace engineers. Engineers who understand systems, architecture, and business context will lead the future.

Connect with Sarika Gowtham

🔗 LinkedIn: https://www.linkedin.com/in/sarika-gautam-047749238/

Connect with Prem Goswami

🔗 LinkedIn: https://www.linkedin.com/in/premgoswami/

About AI ThoughtMakers

AI ThoughtMakers is a podcast by GeekyAnts where technology leaders, builders, and innovators discuss the latest developments in AI, software engineering, product development, and the future of technology.

Subscribe for more conversations on AI, engineering leadership, enterprise transformation, and emerging technology trends.

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