AI is transforming healthcare — from early diagnosis to long-term patient care — but the stakes couldn’t be higher.

In this episode of Product Bakar, Rishikesh Kankal — seasoned Product Manager — explores how AI is being used in medical diagnostics, personalized care, and hospital operations, while addressing the critical challenges of trust, bias, and regulation.

You’ll learn:

• How AI supports doctors in diagnosis and decision-making

• How patient journeys are becoming more personalized and continuous

• The risks of bias and compliance in healthcare AI

• What PMs must consider when building responsible health products

If you’re working on healthcare or health-tech products, this episode offers practical guidance on applying AI with empathy and accountability.

📩 Looking for a Product Manager to build your digital product?

Get in touch: [email protected]

In fintech, trust is everything — and AI plays a critical role in building and protecting it.

In this episode of Product Bakar, Rishikesh Kankal — seasoned Product Manager — explores how AI is used in fintech to detect fraud, assess risk, and improve customer experience, while navigating challenges around fairness and transparency.

You’ll learn:

• How AI powers fraud detection and credit scoring

• Why balancing security and user experience matters

• The risks of bias and false positives in AI models

• A practical playbook for PMs building fintech products

If you’re working on financial products, this episode will help you understand how to use AI responsibly and effectively.

📩 Looking for a Product Manager to build your digital product?

Get in touch: [email protected]

What can Product Managers learn from the world’s best AI-driven products?

In this episode of Product Bakar, Rishikesh Kankal — seasoned Product Manager — breaks down how Spotify, Netflix, and Duolingo use AI to drive personalization, engagement, and growth.

You’ll learn:

• How Spotify uses AI to build a strong personalization moat

• Why Netflix combines AI with constant experimentation

• How Duolingo delivers personalized learning at scale

• Key product lessons for building AI-powered experiences

If you’re building digital products, this episode offers practical insights on turning AI into real business value.

📩 Looking for a Product Manager to build your digital product?

Get in touch: [email protected]

SaaS is moving beyond simple automation to intelligent, AI-powered workflows.

In this episode of Product Bakar, Rishikesh Kankal — seasoned Product Manager — explains how AI is transforming SaaS products into smart copilots that guide decisions and improve productivity.

You’ll learn:

• How automation shaped early SaaS

• Why rule-based systems are no longer enough

• How tools like Salesforce, Grammarly, and Jira use AI

• What this shift means for Product Managers

If you’re building or scaling SaaS products, this episode will help you rethink how AI fits into your product strategy.

📩 Looking for a Product Manager to build your digital product?

Contact: [email protected]

AI doesn’t just learn from data — it learns from our data.

And that means it can inherit the same biases, blind spots, and inequalities that exist in the real world.

In this episode of Product Bakar, Rishikesh Kankal dives into one of the most critical — and often uncomfortable — topics in AI product building: bias, fairness, and inclusivity.

This isn’t just a technical problem for data scientists. It’s a product problem, and Product Managers play a central role in either amplifying bias or preventing it.

In this episode, we cover:

• How bias quietly creeps into AI systems through data and usage patterns

• Real-world examples of biased AI in hiring, facial recognition, and credit scoring

• Why fairness directly impacts user trust, business growth, and regulatory risk

• Practical actions PMs can take to design more inclusive AI products

• How to move fairness from an afterthought to a core product principle

If you’re building AI-powered products, this episode will help you ask better questions, define better metrics, and build products that work for more people — not just the majority.

AI innovation is moving fast — but regulation is catching up.

From the EU AI Act to US executive orders, and evolving rules across India and China, governments worldwide are setting boundaries for how AI products can be built and deployed.

And for Product Managers, this creates a tough reality:

If your AI product isn’t compliant, it doesn’t matter how innovative it is — it’s a liability.

In this episode of Product Bakar, we unpack the regulation puzzle and break down what PMs actually need to know to ship AI products that are both fast and safe.

We cover:

• Why AI regulation is uniquely complex and constantly changing

• The core areas regulators care about: transparency, privacy, accountability, and risk

• How frameworks like the EU AI Act think about low vs high-risk AI use cases

• A practical PM playbook for staying compliant without slowing delivery

• Why compliance isn’t a blocker — but a long-term survival strategy

This episode is essential listening for PMs building, scaling, or planning AI-powered products in a global market.

AI doesn’t just make products smarter — it makes them more powerful.

And with that power comes a responsibility that Product Managers can’t ignore: ethics.

In this episode of Product Bakar, Rishikesh Kankal tackles one of the most uncomfortable — yet unavoidable — topics in modern product management: AI ethics and the PM’s role in drawing boundaries.

We explore:

• Why AI ethics is not a legal or engineering problem — but a PM problem

• The real ethical questions AI products force on teams, whether they’re ready or not

• The three biggest ethical fault lines in AI: bias, transparency, and harm

• How PMs can bake ethics into requirements, not slide decks

• Why trust, not just accuracy or engagement, determines long-term product success

This episode isn’t about slowing innovation. It’s about making sure what you build is defensible, trustworthy, and sustainable.

If you’re a PM working on AI-powered products — this conversation will change how you think about responsibility and leadership.

AI product teams don’t look like traditional product teams anymore.

Designers and software engineers are now joined by data scientists, ML engineers, and research-heavy roles — and for many Product Managers, this shift can feel intimidating.

In this episode of Product Bakar, Rishikesh Kankal breaks down how PMs can work effectively with data-heavy AI teams — without being data scientists themselves.

You’ll learn:

• The real difference between data scientists, ML engineers, and software engineers

• Where PMs add the most value in AI product teams

• How to frame problems instead of prescribing technical solutions

• Why data availability and feasibility matter more than flashy AI ideas

• How to define success beyond model accuracy — focusing on adoption, trust, and business impact

• Practical ways to build strong collaboration and protect your team from “AI magic” expectations

If you’re a PM working with AI teams — or about to — this episode will help you lead with clarity, credibility, and confidence.

Episode Tags / Keywords

Product Management, AI for PMs, Data Scientists, Machine Learning Engineers, AI Product Teams, Generative AI, Product Leadership, AI Strategy, PM Skills, AI Collaboration

Building AI products isn’t just about models, prompts, or metrics — it’s about people.

In this episode of Product Bakar, Rishikesh Kankal dives into one of the hardest challenges Product Managers face today: stakeholder management in the age of AI.

On one side, you have AI evangelists pushing for AI everywhere, fast.

On the other, AI skeptics worried about risk, bias, hallucinations, and compliance.

As a PM, your job isn’t to pick a side — it’s to bridge the gap.

In this episode, we break down:

• How to manage over-enthusiastic AI evangelists without derailing your roadmap

• How to win over skeptics using evidence, guardrails, and small experiments

• Practical frameworks PMs can use to balance speed and safety

• Why stakeholder trust is becoming a core PM skill in AI-driven products

If you’re building, shipping, or even talking about AI inside your organization, this episode will help you stay credible, calm, and in control.

Getting real users for interviews is hard. AI is changing that.

In this episode, we break down how synthetic users and AI-driven UX research are reshaping product discovery. Learn how PMs and designers can instantly test flows, simulate edge cases, and accelerate insights — without waiting weeks for recruitment.

But we also unpack the limits: bias, false confidence, and why humans can’t be replaced.

If you’re building in AI or pushing for faster discovery, this episode is a must-listen.

Keywords (SEO): synthetic users, AI UX research, AI in product management, UX automation, user research at scale, product discovery, AI personas, PM AI workflow, synthetic testing, AI product tools