The AI Visionary Podcast

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AI is everywhere. But how much of that investment is actually creating measurable business value?

After 22 years building data, analytics and AI capabilities inside one of Asia’s leading banks, Donald shares what separates AI transformation that delivers meaningful ROI from AI projects that simply look impressive.

In this episode of The AI Visionary Podcast, we explore what it really takes to turn AI investment into sustainable business value — from building the right foundations to transforming entire business processes with AI.

This conversation goes beyond the hype and gets into the difficult questions CEOs, Boards and AI leaders need to answer:

Where should you place your AI bets?
How should you measure AI ROI?
What foundations are essential before scaling AI?
How do you move from POCs to production?
And what does it really take to transform a business with AI?

KEY TAKEAWAYS

• Why successful AI programmes start with a business case — not a POC

• The three fundamental foundations required for scalable AI: data, talent and governance

• Why AI vanity metrics can create a misleading picture of enterprise value

• How one banking process was transformed from around 10 days of effort to approximately one hour using agentic AI

• Why the biggest risk with autonomous AI may be the autonomy itself — and why governance needs to operate at "agentic speed"

• Why organisations need to stop "sprinkling AI" across the business and instead transform major processes end to end

• How senior leadership commitment can determine whether AI transformation creates meaningful value

• Why the Chief Data / AI Officer increasingly needs to focus on value creation, prioritisation and business transformation

TIMESTAMPS

00:00 – 22 years of data & AI lessons begin
02:49 – The secret to sustaining AI investment
06:49 – Why AI ROI is so difficult to measure
08:36 – The problem with AI vanity metrics
10:42 – The 3 foundations behind scalable AI
12:12 – Is there too much AI theatre?
14:04 – The AI project that transformed a high-risk process
16:59 – Where agentic AI can create real enterprise value
19:41 – How AI cut a 10-day process to about 1 hour
22:56 – The biggest risk of autonomous AI
42:50 – Why AI usually fails because of organisational alignment
45:32 – Stop sprinkling AI everywhere: transform end to end

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

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AI won't fix your silos

A conversation with Satyen Desai, Regional Vice President, ASEAN at Tanium

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

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AI efficiency won't give you a competitive advantage. So what will?

AI is rapidly changing how businesses operate—but most companies are still using it to make existing processes faster, cheaper and more efficient.

In this episode of The AI Visionary Podcast, Joel Azariah and Milind sit down with Don Schibenreif, former Gartner executive and co-author of When Machines Become Customers, to explore why the next phase of AI will fundamentally change how companies compete.

Don argues that only 1 in 10 AI projects currently delivers positive ROI, while only 1 in 50 delivers truly game-changing or disruptive capability. The problem? Too many organizations are focused on "everyday AI" and efficiency rather than using AI to create new business models and new sources of value. 

The conversation explores what CEOs and business leaders need to do differently—from preparing for machine customers and agentic commerce, to redesigning operating models, building trust in AI agents, developing AI-savvy workforces and deliberately protecting the human experiences that machines cannot replicate.

Don also shares his thinking on the emerging "Great Customer Shift"—the transition from human customers to machine customers—and why organizations need to start preparing now. 

In this episode, you'll discover:

•  Why AI efficiency alone won't create sustainable competitive advantage
•  Why only 1 in 10 AI projects currently delivers positive ROI 
•  Why CEOs need to invest in game-changing AI, not just automation 
•  How AI agents are creating the era of the machine customer
•  Why 15–20% of revenue could come from machine customers by 2030
•  How companies can prepare for agentic commerce
•  Who should be responsible when an AI agent makes a mistake 
•  Why AI agents need guardrails, transparency and human oversight
•  Why AI should be treated as a collaborator—not simply an employee replacement
•  How organizations can build an AI-savvy workforce 
•  Why "moments of humanity" could become a competitive advantage 
•  How companies can use AI to create new business models, rather than simply cut costs 
•  Why leaders need to think beyond today's efficiency gains and focus on future sources of growth

00:00 The AI Agents That Don't Work For You

00:35 What Happens When Your Customer Isn't Human?

01:23 Why Machine Customers Are Finally Becoming Real

04:04 Are Companies Ready for Machine Customers?

05:06 The Three Phases of Machine Customers

06:54 Who Is Responsible When AI Makes a Mistake?

08:59 What Is an Autonomous Business?

11:22 Will AI Replace Human Jobs?

14:04 Why CEOs Are Getting AI Wrong

16:00 The AI Leadership Trust Gap

17:22 What Companies Get Wrong About AI Customers

18:36 Are AI Agents the New Employees?

20:55 AI Agents Aren't Employees—They're Collaborators

23:37 Are CEOs Ready for Machine Customers?

24:50 The Trust Problem With AI Agents

27:55 How AI Will Change Brands and Marketing

30:20 Why Most Companies Are Chasing Efficiency

31:10 Why Only 1 in 10 AI Projects Deliver ROI

32:42 Why AI Efficiency Won't Create Competitive Advantage

34:10 The AI Companies Creating New Sources of Value

36:54 How Don Predicted the Rise of Machine Customers

39:01 When Everyone Has Access to the Same AI

41:28 How to Protect Your Brand in an AI World

43:01 Can AI Governance Keep Up With AI Speed?

43:57 The Rise of the Guardian Agent

45:14 Humans + AI: Who Should Be in Charge?

46:47 Why Human Creativity Still Matters

49:03 The "Moments of Humanity" Advantage

51:55 The Great Customer Shift

53:28 Rapid Fire: The Future of Machine Customers

54:25 Will Machines Outnumber Human Customers?

54:59 Final Thoughts

If this episode made you rethink how your company should compete in the AI era, share it with another business leader.

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

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How do you transform a bank from data silos to 600 business users writing SQL?

In this episode of  ⁨@TheAIVisionaryPodcast⁩ Chief Data Officer Celine Le Cotonnec shares the playbook behind one of the most impressive data transformation stories in banking.

Instead of creating another centralized data team, Celine's team built a single source of truth, empowered business users to become self-service, and transformed data from an IT function into an enterprise capability. The result? More than 600 business users writing SQL, over 70 non-IT employees building Python applications, and a culture where data drives decisions across the organization.

If you're a CEO, Board Member, Chief Data Officer, Chief AI Officer, CIO, CTO, Head of Data, or business leader, this conversation provides practical lessons on building a truly data-driven organisation and preparing your workforce for the AI era.

In this episode you'll discover:

✅ How one bank enabled 600+ business users to write SQL and access trusted data independently.

✅ Why creating a single source of truth transformed decision-making across the enterprise.

✅ The hub-and-spoke operating model that scaled data access without creating bottlenecks.

✅ Why business users—not just data teams—should own analytics and reporting.

✅ How the organization evolved from exchanging Excel spreadsheets to sharing SQL queries.

✅ Why SQL, Python and AI literacy are becoming core business skills.

✅ How AI is reshaping relationship management in private banking.

✅ Why HR should play a central role in AI transformation and agentic organizations.

✅ The relationship between Data, IT and AI—and why collaboration matters more than ever.

✅ How to think about AI governance, guardrails, and measuring ROI from enterprise AI initiatives.

Chapters

00:00 Introduction

00:45 The challenge of multiple versions of the truth

03:00 Building a single source of truth

05:23 Why people don't want to share data

06:23 Why business users—not data teams—should build dashboards

09:40 From Excel to SQL: Creating a data-driven culture

11:36 How to get hundreds of business users learning SQL

12:49 AI's impact on relationship managers

14:08 Why HR is critical to AI transformation

17:25 Designing organizations for the age of AI agents

22:00 Why everyone should learn Python

23:24 Motivating non-technical employees to code

24:44 Data vs IT: Lessons from the transformation journey

27:24 Governing citizen development and AI at scale

39:41 Governance, culture and AI guardrails

42:18 Who should own AI governance?

43:49 Measuring ROI from AI and data transformation

50:43 Rapid Fire Questions


👍 If you enjoyed this conversation, please Like, Subscribe, and Share this episode with your colleagues.

#AI #ArtificialIntelligence #DataStrategy #DataLeadership #ChiefDataOfficer #DataCulture #SQL #Python #BusinessTransformation #DigitalTransformation #AILeadership #DataGovernance #EnterpriseAI #DataAnalytics #TheAIVisionaryPodcast

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

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Artificial Intelligence is transforming every industry, yet most companies are still struggling to generate meaningful ROI from their AI investments.

In this episode of The AI Visionary Podcast, host Joel Azariah sits down with Matthias Hendrichs, Managing Director, APAC at Pit, former Apple executive, founder of a US$1.5 billion technology company, and investor in leading AI companies including Anthropic and xAI.

Drawing on decades of experience building, scaling, and investing in technology businesses, Matthias shares why most organisations are approaching AI transformation the wrong way and what CEOs, boards, and business leaders must do differently to create sustainable competitive advantage.

If you're responsible for AI strategy, digital transformation, or business growth, this episode provides practical insights that go far beyond today's AI hype.

In This Episode

✅ Why most companies still get AI wrong

✅ Why AI transformation is an organisational challenge—not an IT project

✅ The AI ROI gap holding enterprises back

✅ How AI agents will reshape the future of work

✅ Why workflow redesign matters more than choosing the latest model

✅ The biggest misconceptions about enterprise AI

✅ How CEOs should think about AI investments

✅ The future of SaaS in the age of AI

✅ Will AI replace jobs—or redefine them?

✅ The investment outlook for the next generation of AI companies

Timestamps

00:00 – Why AI transformation isn't a weekend project

00:25 – Meet Matthias Hendrichs

01:11 – Why most companies struggle to generate AI ROI

07:15 – Why AI transformation is different from previous technology waves

11:52 – Will AI eliminate junior jobs?

14:52 – The future of enterprise AI over the next five years

17:15 – Is the SaaS apocalypse real?

23:48 – The biggest risks of AI transformation

26:30 – DeepSeek, Anthropic, xAI and the future of AI investing

30:40 – What every CEO should know about AI risk

35:39 – Why AI budgets are accelerating

40:14 – Is AI really replacing jobs?

42:57 – Why companies still get AI wrong

47:29 – Do graduates still have a future?

48:55 – Are trillion-dollar AI valuations justified?

53:49 – Rapid Fire Round

56:30 – Final thoughts

About Matthias Hendrichs

Matthias Hendrichs is Managing Director, APAC at Pit, a former Apple executive, founder of a US$1.5 billion technology company, and an investor in leading AI companies including Anthropic and xAI. He advises enterprises and investors on AI, digital transformation, and technology strategy, bringing a unique perspective from both operating and investing in some of the world's most influential technology businesses.

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

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Most companies are pouring millions into AI and have very little to show for it.

The problem isn't the technology. It isn't the budget. And it isn't the team.

Dr. Brindha Jeyaraman has seen it from every angle as a regulator, inside big tech, as Head of AI Governance at a major regional bank, and now as founder of an AI governance infrastructure company. The reason most AI transformations fail starts at the top.

In this episode, Brindha breaks down what most organizations are getting wrong about enterprise AI strategy and what the ones succeeding are doing differently.

We cover:

- Why AI projects fail to scale beyond the experiment stage

- The "braking system" case for embedding AI governance frameworks into your architecture from day one

- Why the bottom of your organization is moving faster than the top — and what that leadership gap is costing you

- The real reason hiring consultants to lead your AI implementation backfires

- How AI has cut cybersecurity exploitation speed from months to hours and what that means for enterprise risk management

- What the right AI team structure actually looks like today — and why most organizations have it upside down

- Why human in the loop is one of the most misunderstood concepts in LLM deployment

Whether you are a Chief AI Officer, Chief Data Officer, Head of AI, AI governance lead, or senior executive navigating AI transformation in banking, financial services, or regulated industries — this conversation gives you a practitioner's honest view of what actually works. If you are researching enterprise AI strategy, AI governance frameworks, LLM deployment best practices, agentic AI implementation, AI risk management, how to scale AI across your organization, or why so many AI projects fail to deliver ROI — this episode covers it all.

-
⏱️ CHAPTERS

00:00 — Why AI Replacements Still Need Human Reviewers
01:32 — Brinda's Journey: Regulator, Big Tech, Bank, Founder
01:55 — How a Family Health Crisis Shaped Her View of AI's Purpose
03:12 — What Senior Executives Get Wrong About Deploying LLMs at Scale
05:29 — Operationalizing AI at the Speed of Change
06:37 — Why Organizations Get Distracted by New Tech Instead of Readiness
08:22 — Experimentation vs ROI — The Tension No One Talks About
09:52 — Why Companies Overestimate How Far Along Their AI Journey They Are
10:38 — The Role of Data Strategy, AI Strategy and Board-Level Buy-In
12:26 — Why the Top of the Organization Is Falling Behind
13:01 — What Separates Companies That Accelerate From Those That Stall
14:31 — The Middle Management Problem: Who Actually Gets the AI Mandate
15:50 — How to Push Leadership Into the AI Journey From the Start
16:45 — The Case for an AI Council
17:12 — Why Siloed Ownership Kills AI Transformation
18:05 — Building AI Foundations: Data, Knowledge and Tech Readiness
20:03 — "AI Governance Is Just Added Cost" — Brinda's Response
22:05 — Why Hiring Consultants to Lead Your AI Strategy Backfires
23:27 — Where the True Risk of AI Implementation Actually Lies
25:21 — The Human in the Loop Problem: Speed, Accountability and Design
26:18 — How to Design Human Oversight Into an AI Architecture
28:15 — How Organizational Culture Shapes Your AI Governance Framework
30:27 — What Worked Across Regulator, Big Tech, Bank and Startup
31:00 — Why Data Teams Are the Hardest to Bring Along
32:49 — What Actually Made Brinda Succeed Across Very Different Environments
34:18 — Why What Works in Big Tech Won't Work in a Bank
36:08 — The Hardest Leadership Conversations on AI Risk
38:28 — Posting AI Success Stories on LinkedIn Without the ROI
38:51 — Building the Right AI Team Structure Today
41:37 — Andrej Karpathy Stopped Writing Code — What That Means for Teams
42:09 — Why Coding Skills Still Matter in an LLM World
43:51 — How AI Team Structures Will Evolve Over the Next Two Years
45:49 — Are Companies Justified in Cutting Headcount Because of AI
47:02 — If You Could Redesign AI Governance From Scratch
48:46 — Claude Mythos, Cybersecurity and the New Threat Landscape
51:21 — Exploitation Speed: From Months to Hours
52:02 — Governance as the Answer to AI-Enabled Cyber Threats
53:45 — Rapid Fire Round Begins
54:07 — ChatGPT, Gemini or Claude?
55:27 — Head of Data Governance or Head of AI Governance?
55:34 — Centralized vs Decentralized AI Teams
55:41 — Most Overrated AI Trend Right Now
55:59 — Most Underrated AI Trend
56:23 — One Global AI Regulation You'd Implement Tomorrow

🎙️ The AI Visionary Podcast is hosted by Joel Azariah and Milind candid conversations with the leaders shaping AI.


#AIGovernance #EnterpriseAI #LLMOps #AIStrategy #AILeadership #AITransformation #AIRisk #ResponsibleAI #ChiefAIOfficer #AIImplementation #TheAIVisionaryPodcast

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

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Most companies are investing heavily in AI.

But how many are actually seeing meaningful business results?

In this episode of the AI Visionary Podcast, we sit down with Gavin Barfield, CTO & VP Solutions for Salesforce ASEAN, to explore the difference between AI experimentation and real AI transformation.

From Agentic AI and customer experience to leadership, trust, adoption, and ROI, Gavin shares practical insights from working with some of the region's most innovative organizations.

If you're a CEO, board member, business leader, AI practitioner, or technology executive trying to understand how to unlock value from AI investments, this conversation is for you.

In This Episode

✅ Why many AI initiatives fail to deliver ROI

✅ The difference between AI transformation and AI theater

✅ Why LLMs alone are not enough

✅ The critical role of context in AI success

✅ How Agentic AI is changing customer experience

✅ What leaders get wrong about AI adoption

✅ The future of AI-powered customer interactions

✅ Why trust is the foundation of successful AI

✅ Real-world examples of AI delivering business value

✅ How leading organizations are preparing for an AI-first future

Timestamps

00:00 – Introduction and Agentforce World Tour Singapore

00:41 – How Gavin stays ahead in the age of AI

01:37 – AI Transformation vs AI Theater

03:49 – Why most AI projects struggle with ROI

05:36 – How Agentic AI is changing customer experience

07:53 – The rise of AI agents as customers

08:39 – How AI agents will interact with software differently

10:35 – The biggest misconception about AI agents

12:26 – Why context matters more than intelligence

13:39 – Leadership lessons for AI transformation

15:02 – Strategy vs use cases: where companies go wrong

15:50 – A real AI ROI success story

17:53 – How to identify high-impact AI opportunities

18:45 – Rapid Fire Round

19:01 – Gemini, Claude, or ChatGPT?

19:45 – The most underrated AI trend

20:48 – The most overrated AI trend

21:53 – Gavin's favorite AI tool

22:45 – Final thoughts

Key Takeaways

The companies generating the greatest ROI from AI are not simply deploying more models.

They're redesigning how work gets done.

The future belongs to organizations that combine trusted data, business context, and Agentic AI to create entirely new ways of serving customers and operating at scale.

🎙 Subscribe to the AI Visionary Podcast for conversations with world-leading AI executives, founders, researchers, and innovators shaping the future of business.

#AI #ArtificialIntelligence #AgenticAI #Salesforce #Agentforce #DigitalTransformation #BusinessStrategy #CustomerExperience #GenerativeAI #Leadership #Innovation #AIROI #FutureOfWork #EnterpriseAI #TechnologyLeadership

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

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What happens when AI becomes the customer?

In this episode of the AI Visionary Podcast, we sit down with Katya Forbes — globally recognized CX strategist, futurist, and author of Machine Customers: The Evolution Has Begun.

We explore the rise of AI agents, machine customers, agentic commerce, and what business leaders must do NOW to survive the next wave of AI transformation.

From trust, ethics, and AI-driven purchasing… to why brand loyalty may no longer matter in an AI-first economy — this conversation challenges everything CEOs, boards, and business leaders think they know about customer experience.

If you work in AI, strategy, customer experience, digital transformation, or leadership — this episode is essential viewing.

In This Episode

- Why AI customers are already here
- How machine customers make buying decisions
- Why APIs alone are NOT enough
- The future of brand loyalty in an AI economy
- Why values and ethics become competitive advantages
- The hidden risks of AI agents and misinformation
- What CEOs are missing about AI transformation
- How companies should redesign customer experience
- The future of AI procurement and autonomous buying
- New jobs that AI will create

About the AI Visionary Podcast

The AI Visionary Podcast is hosted by Joel Azariah and Milind. Our mission is to share actionable, unique and bold insights on one central question: how do we generate sustainable ROI from AI?

Each episode features global AI leaders speaking candidly about the real challenges, pathways to success, and pitfalls to avoid on the journey to meaningful AI transformation.

Available on YouTube, Spotify and Apple Podcasts. Please like, subscribe and leave us a review — it helps more leaders find these conversations.

Guest: Katja Forbes - CX Evolutionist

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

LinkedIn Podcast Page
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Joel Azariah LinkedIn Page
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91% of AI transformations fail.

Not because of the technology. But because of the questions nobody asks, the structures nobody wants to change, and the human side of transformation that gets quietly shelved in favour of another pilot.

In this episode of the AI Visionary Podcast, Joel Azariah and co-host Milind sit down with Dr. David Hardoon, one of the most candid and experienced AI leaders in the world today.

David has taken a path very few leaders in this space have. From academia to global consulting. From architecting Singapore's national AI strategy at the Monetary Authority of Singapore to building a greenfield AI consulting firm from scratch. He has seen AI transformation from every angle: as a researcher, a practitioner, a regulator, and the person accountable for making it work at a national level.

In this conversation, David shares what he has learned from two decades at the intersection of AI, business, and human behaviour. And he holds nothing back.

In this episode you will hear:

• Why the technology is the easy part of AI and what the hard part actually is
• The one question David asks in every AI meeting that most leaders are afraid to ask
• Why making AI the crown jewel of your transformation almost guarantees it will underdeliver
• How to move AI from a cost centre to a profit centre — and what organisational structures make that possible
• Why 91% of AI efforts fail — and what the 9% do differently
• How to manage fear and resistance in your organisation without losing your best people
• Why David believes standalone AI regulation is the wrong approach — and what should replace it
• The personal story behind David's resilience — and why it is the most important thing he brings to every boardroom

This is not another conversation about AI tools or trends. It is an honest, experience-driven discussion about what it actually takes to generate meaningful, sustainable ROI from AI.

If you are a CEO, board member, Chief AI Officer, or a leader trying to understand why your AI investments are not delivering the returns you expected — this episode is for you.

——

About the AI Visionary Podcast

The AI Visionary Podcast is hosted by Joel Azariah and Milind. Our mission is to share actionable, unique and bold insights on one central question: how do we generate sustainable ROI from AI?

Each episode features global AI leaders speaking candidly about the real challenges, pathways to success, and pitfalls to avoid on the journey to meaningful AI transformation.

Available on YouTube, Spotify and Apple Podcasts. Please like, subscribe and leave us a review — it helps more leaders find these conversations.

——

Guest: Dr. David Hardoon
Former Chief Data Officer, Monetary Authority of Singapore

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

LinkedIn Podcast Page
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Joel Azariah LinkedIn Page
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Most companies aren’t failing at AI because of the technology.

They’re failing because of leadership, incentives, and execution.

And it’s costing them millions.

In this episode, a former CIO, Stanford AI PhD, and global AI transformation leader breaks down why most AI initiatives never deliver meaningful ROI — and what business leaders must do differently.

If you’re a CEO, board member, Chief Data Officer, or senior executive navigating AI investments, this conversation will challenge how you think about AI strategy, org design, hiring, and transformation.

This isn’t about hype.

It’s about execution.

You’ll learn what actually drives AI ROI, why endless pilots happen, how AI leadership must evolve, and the structural mistakes that keep companies stuck.

• The 3 reasons most AI initiatives fail
• Why hiring engineers won’t fix your AI problem
• The “AI Translator” role every organization is missing
• Why AI leaders must report directly to the CEO
• The execution gap blocking AI ROI worldwide
• How to structure your first 90 days as a Chief AI Officer
• Why endless AI pilots are often intentional
• The dangerous myth about humans in the age of AI

00:00 – Why AI ROI keeps failing
03:18 – From Wall Street CIO to AI transformation leader
07:01 – The 3 real reasons AI initiatives fail
10:37 – Where AI leadership must sit in the org chart
15:55 – Are we in an AI bubble?
17:51 – The execution gap nobody talks about
19:18 – Why some companies move fast — and others stall
23:31 – Real use cases: Where banks see ROI first
31:52 – The first 90 days as a Chief AI Officer
34:45 – Why AI leaders fail (even with great resumes)
38:02 – Rapid fire: CDO vs Chief AI Officer
39:27 – The most underrated truth about AI

Dr. Maxim Afanasyev is the Financial Services Industry Head for Asia-Pacific and Japan at Google Cloud, where he's leading AI strategy for one of the fastest-growing industries across some of the world's most dynamic markets.

But what makes Maxim's perspective truly unique is the journey that got him here. He holds a PhD from Stanford in Operations and AI, spent years as a derivatives trader at Royal Bank of Scotland, became Chief Investment Officer managing over a billion dollars in AI and tech investments, then pivoted to become one of McKinsey's first "Analytics Translators" - a role McKinsey predicted would need millions of professionals worldwide.

From there, he led the digital transformation of an $11 billion corporate banking business at Standard Chartered across 50+ markets, before joining Google Cloud where his work has contributed to FSI revenue growing at 2x the market average for three consecutive years.

He's behind some of the most impressive AI deployments in financial services - including HSBC's Anti-Money Laundering AI system that processes over a billion transactions per month and cut false positives by 60% while increasing true fraud detection by up to 4x.

Please like and subscribe to our channel to get notified as soon as new episodes and content are released.

The AI Visionary Podcast is a platform where AI leaders share bold, unique and tangible insights about pathways to realizing meaningful ROI from AI, pitfalls to avoid and their success stories.

These conversations go beyond the hype to uncover what it takes for organizations to be successful in their AI transformation journeys from a leadership, talent, strategy and operating model perspective. 

Co-hosted by Joel Azariah and Milind, new episodes release every month via You Tube, Spotify, Apple Podcasts and various other Podcasts Channels

Links

YouTube Channel

https://www.youtube.com/@TheAIVisionaryPodcast

Spotify Channel

https://open.spotify.com/show/3Bt27yjIzXP9Yr1JyqzpTv?si=feq6M3RTR1ywJS_694-Q7A&nd=1&dlsi=ce2a21ba58db44b6

LinkedIn Podcast Page
linkedin.com/company/the-ai-visionary-podcast
Joel Azariah LinkedIn Page
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