Data Analytics Chat

Ben Parker

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🎧 Data Analytics Chat explores how the world's leading organisations are building, scaling and transforming through Data & AI.

Hosted by Ben Parker, Founder of Parker B Associates, each episode features senior Data, AI and technology leaders discussing what they're building, what's getting in the way, and what they've learned along the way.

From AI adoption and data platforms to leadership, talent and transformation — these are conversations with the people actually doing it.

20,000+ downloads | Featuring leaders from AWS, Google, IBM, Oracle and Fortune 500 organisations.

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#74
February 4 · 42 min
From Data Projects to Data Products: Essential Skills for AI Leaders
With Elena Alikhachkina — 4x Chief AI & Data Officer and Board Advisor What does it really take to move from data projects to data products? In this episode, Ben Parker speaks with Elena Alikhachkina about one of the biggest shifts happening across Data and AI and why technical expertise alone is no longer enough. Drawing on more than 25 years in the industry, Elena explores how organisations can build more customer-focused, commercially relevant Data and AI products through stronger product thinking, business understanding and collaboration. You’ll hear practical insights on: Why Data and AI teams need to think in products, not projects How to connect technical work to business outcomes Why product skills are becoming essential in AI Bridging the gap between business and technology The growing importance of communication and commercial awareness The skills future Data and AI leaders need to develop Chapters 00:00 Introduction 01:33 Elena’s career and leadership journey 09:17 From data projects to data products 15:06 Building a product mindset in Data & AI 22:34 The skills Data & AI professionals need next 29:50 Bridging business and technology 34:00 Turning product thinking into business value Thank you for listening!
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#73
January 29 · 37 min
The Future of Data Science & Data Engineering in the Age of AI
With Phoenix Pei — SVP, Analytics Manager at Truist What will the Data Scientist and Data Engineer of the future look like? In this episode, Ben Parker speaks with Phoenix Pei about how AI and automation are changing data roles — and why technical expertise alone may no longer be enough. Phoenix explores the growing importance of business understanding, trust and leadership alignment, why many data initiatives still struggle to create meaningful impact, and how organisations may need to rethink the structure of their data teams. You’ll hear practical insights on: How AI and automation are changing Data Science and Data Engineering Whether the future belongs to specialists or full-stack data professionals The technical, business and leadership skills that will matter most Why so many data initiatives struggle to deliver business value What prevents Data Science projects reaching production How Data Scientists and Data Engineers will work together in the future Chapters 00:00 Introduction 02:18 Phoenix’s career and leadership journey 09:34 How AI is changing Data Science & Engineering 11:08 Why business understanding matters more than ever 24:54 Why Data Science initiatives struggle to deliver 25:07 The importance of leadership alignment 33:53 Preparing Data teams for the future Thank you for listening!
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#72
January 21 · 23 min
How To Make Successful Decisions In AI
With Durai Rajamanickam — Senior AI Leader How do leaders make better decisions about AI when the technology, risks and expectations are changing so quickly? In this episode, Ben Parker speaks with Durai Rajamanickam about what it takes to turn AI ambition into something organisations can trust, scale and create value from. They explore why AI initiatives can go wrong before technology is even the problem, the danger of hype-driven decisions, and why clear business objectives and leadership alignment matter. The conversation also examines build vs buy, balancing speed with governance, when leaders should trust AI outputs, and the decisions organisations can't afford to delay. You’ll hear practical insights on: Why organisations misdiagnose the problems they want AI to solve How to make better build-vs-buy decisions Why promising AI initiatives fail Balancing speed, innovation, governance and trust When leaders should trust or challenge AI outputs The AI decisions organisations need to make now Chapters 00:00 Why AI strategies go wrong 01:09 Meet Durai Rajamanickam 03:46 Build vs buy in AI 05:36 Avoiding hype-driven AI decisions 07:41 Aligning AI with the business 09:11 Building trust and governance 12:22 Balancing speed with control 15:22 Making better decisions with AI 21:03 Advice for AI leaders Thank you for listening!
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#71
January 14 · 39 min
What It Really Takes to Adopt Generative AI at Scale
With Nayan Paul — Managing Director & Chief Architect, Generative AI at Accenture Why are so many organisations experimenting with Generative AI, but so few turning it into meaningful business impact? In this episode, Ben Parker speaks with Nayan Paul about what it really takes to move GenAI from experimentation into production and scale. They explore why successful adoption isn't simply a technology challenge. It requires business ownership, the right operating model, strong data foundations and a clear approach to governance. The conversation also examines how organisations can move quickly without sacrificing trust and responsibility and what separates AI experimentation from genuine business transformation. You’ll hear practical insights on: Why GenAI pilots struggle to reach production Moving from experimentation to measurable business value Why business ownership matters as much as technology Building the foundations for GenAI at scale Creating an effective AI operating model Balancing speed, governance and responsibility Turning GenAI from an experiment into an organisational capability Chapters 00:00 Why scaling Generative AI is difficult 01:08 Meet Nayan Paul 05:08 Early GenAI experiments and lessons 07:02 Moving from experimentation to business value 10:14 Driving adoption across the business 16:15 Building the foundations for AI at scale 29:24 Balancing speed with responsibility 34:09 Moving from curiosity to impact Thank you for listening!
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#70
January 7 · 30 min
Why Most Organisations Aren’t Ready for AI — Even If They Think They Are
With Sujit Narapareddy — Head of Data & Analytics, AWS Sales What separates organisations experimenting with AI from those actually changing how work gets done? In this episode, Ben Parker speaks with Sujit Narapareddy about what it really takes to embed AI into an organisation and why technology is only part of the challenge. Sujit explores the importance of human judgement, strong data foundations and leadership alignment, alongside the organisational changes required to move from AI experimentation to real adoption. The conversation also examines how AI could reshape everyday work by embedding intelligence directly into workflows, helping people move faster from insight to action without removing the need for human judgement. You’ll hear practical insights on: Why organisations underestimate what AI adoption really requires What separates AI experimentation from real adoption Why strong data foundations still matter How AI can complement people rather than simply replace roles How leaders should rethink teams and decision-making Why human judgement becomes more important, not less What organisations should be doing now to prepare Chapters 00:00 The challenge of AI transformation 01:42 Meet Sujit Narapareddy 02:32 Sujit’s journey from technology to leadership 09:21 How AI changes human roles 16:17 Why organisations struggle to integrate AI 28:28 Preparing organisations for what comes next Thank you for listening!
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#69
Dec 17, 2025 · 33 min
The Reality of AI Today: Beyond the Hype
With Carlos Pineda — Head of Data Analytics & Insight, Diageo North America Where is AI actually creating value today and where are organisations still getting distracted by the hype? In this episode, Ben Parker speaks with Carlos Pineda about the reality of implementing AI inside large organisations and what separates experimentation from meaningful business transformation. Carlos explores why successful AI starts with understanding the business problem, having the right data foundations and embedding AI into real processes rather than simply adopting the latest technology. The conversation also covers leadership, stakeholder engagement, experimentation and why organisations need to think about AI transformation end-to-end if they want to create lasting value. You’ll hear practical insights on: Where AI and GenAI are creating genuine business value today Why AI initiatives need to start with the business problem The importance of strong data foundations Why business understanding matters alongside technical expertise What prevents organisations from successfully integrating AI How experimentation can lead to scalable transformation How leaders should evaluate the cost and potential value of AI Chapters 00:00 The reality of AI today 01:53 Meet Carlos Pineda 02:51 Carlos's career and leadership journey 08:02 Where AI is actually creating value 09:58 Why business understanding matters 13:13 The challenges of implementing AI 30:38 Understanding the cost and value of AI 33:39 Final thoughts Thank you for listening!
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#68
Dec 12, 2025 · 1 hr 11 min
Why Hiring and Retaining Top AI Talent Has Become Harder Than Ever
With Misha Trubskyy — Head of Claims Data Science, Mercury Insurance Why is hiring exceptional AI and Data talent still so difficult even in a market full of candidates? In this episode, Ben Parker speaks with Misha Trubskyy about what organisations are getting wrong when hiring, assessing and retaining AI and Data professionals. Drawing on his experience leading Data Science in insurance, Misha explores the disconnect between companies struggling to find the right skills and candidates who feel hiring processes have become too selective. The conversation examines what leaders should really look for beyond technical ability, why critical thinking and authenticity matter, and what organisations need to do differently to keep their strongest people once they've hired them. You’ll hear practical insights on: Why AI and Data talent remains difficult to hire The disconnect between employers and candidates What actually separates exceptional candidates Why technical skills alone aren't enough How to assess critical thinking and real-world capability The case for investing in junior talent What keeps top AI and Data professionals from leaving How the talent market could evolve over the next few years Chapters 00:00 Introduction 02:24 Misha's career and leadership journey 07:37 Lessons in leading Data Science teams 29:52 Why hiring AI & Data talent is so difficult 37:02 What to look for beyond technical skills 44:21 What's happening in the talent market 48:55 Why organisations should invest in junior talent 01:04:33 How to retain top performers 01:10:03 The future of AI & Data hiring Thank you for listening!
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#67
Dec 4, 2025 · 23 min
The Hidden Cost of Poor Data Quality
With Carol Kim — Executive Director, IBM Can an organisation really be data-driven if its data can't be trusted? In this episode, Ben Parker speaks with Carol Kim about why Data Governance and Data Quality are fundamental to better decision-making and what happens when organisations fail to get them right. Carol explores how poor-quality data affects far more than technology, creating hidden costs across decision-making, operations and the wider business. Drawing on her journey from finance into technology and Data and AI leadership, Carol also discusses the importance of curiosity, storytelling and authentic leadership — and the lessons she's learned navigating transformation across different cultures and environments. You’ll hear practical insights on: Why trusted data is essential for better decision-making The hidden business costs of poor Data Quality Where Data Governance typically breaks down How people, process and technology need to work together What organisations need to build effective Data Governance Why storytelling matters for Data leaders The importance of curiosity and continuous learning in leadership Chapters 00:00 The importance of continuous learning 02:01 Carol's career and leadership journey 07:54 Why storytelling matters in Data 09:59 Leadership and career transformation 15:13 Why Data Governance & Data Quality matter 24:06 Final thoughts Thank you for listening!
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#66
Dec 3, 2025 · 49 min
AI Agents: From Hype to Enterprise Value
With Ilya Meyzin — SVP, Head of AI Solutions at Dun & Bradstreet Are AI agents genuinely the next major shift in enterprise AI or are many still sophisticated workflows wrapped around LLMs? In this episode, Ben Parker speaks with Ilya Meyzin about what AI agents can actually do today and what it takes to turn experimentation into real business value. Ilya explores how agents differ from traditional AI systems, where the strongest use cases are emerging, and why many promising pilots struggle when organisations attempt to scale them. The conversation also examines data quality, enterprise architecture, cross-functional collaboration and whether AI agents will become a fundamental part of how organisations operate. You’ll hear practical insights on: What AI agents can do that traditional LLMs cannot How to identify genuinely valuable agentic use cases Why AI agent pilots struggle to scale The difference between orchestration and genuine intelligence Why data quality remains critical How teams need to collaborate to deploy agents successfully Whether agents will become embedded in enterprise architecture Chapters 00:00 Introduction 01:14 Ilya's career and leadership journey 14:45 Balancing technical expertise with business understanding 23:18 What AI agents actually are 28:40 Where AI agents create real value 32:14 Building and scaling agents in the enterprise 37:21 Why data quality matters 45:12 The future of AI agents Thank you for listening!
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#65
Nov 26, 2025 · 44 min
The Power of Personalisation: How AI Influences What We Buy
With Allison Olson — SVP, Analytics Solutions at Merkle How much of what we buy is influenced by AI without us even realising it? In this episode, Ben Parker speaks with Allison Olson about how AI and real-time data are transforming personalisation and changing the way brands understand, influence and interact with their customers. Allison explores the shift from static recommendations to dynamic experiences that adapt to customer behaviour in real time, the data required to make this possible, and where personalisation can cross the line from helpful to intrusive. The conversation also examines how Generative AI could transform customer experiences further and what the next generation of personalisation might look like. You’ll hear practical insights on: How AI influences the decisions customers make The shift from static to dynamic personalisation How real-time data creates adaptive customer experiences Balancing personalisation with privacy and trust The challenges of personalising experiences at scale How Generative AI could reshape customer interactions What the future of personalisation could look like Chapters 00:00 Introduction 02:12 Allison's career and leadership journey 08:37 Learning from failure and taking risks 13:45 Lessons in leadership 21:01 How AI is changing personalisation 23:23 Static vs dynamic personalisation 30:42 Balancing personalisation with privacy 35:12 Delivering personalisation at scale 38:16 How Generative AI changes what's possible 43:57 Final thoughts Thank you for listening!
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#64
Nov 19, 2025 · 57 min
What It Really Takes to Scale Generative AI
With Viji Krishnamurthy — VP & Head of AI and Generative AI at Oracle Why do some organisations turn Generative AI into real business value while others struggle to move beyond experimentation? In this episode, Ben Parker speaks with Viji Krishnamurthy about what it really takes to implement and scale Generative AI inside the enterprise. Drawing on more than two decades across research, startups, Samsung and Oracle, Viji explores the technical, cultural and organisational challenges that emerge as companies move GenAI into production. The conversation examines how organisations can demonstrate real business value, manage risks such as hallucinations and bias, build trust in AI systems, and prepare for a future where people increasingly work alongside AI agents. You’ll hear practical insights on: Why Generative AI initiatives struggle to scale Where GenAI is creating real business value Moving from experimentation into production Managing hallucinations, bias and trust The cultural changes required for successful AI adoption How the role of Data and AI professionals is evolving Why AI agents could change how we work What enterprise AI could look like over the next 3–5 years Chapters 00:00 The emerging world of AI agents 02:08 Viji's career and leadership journey 07:41 From scientist to product leader 18:19 How Data & AI roles are evolving 27:43 Staying ahead as AI changes 41:08 Why Generative AI is difficult to scale 44:08 Where GenAI is delivering business value 48:52 Managing hallucinations, bias and trust 52:09 The organisational shift required for GenAI 57:05 AI agents and the future of work Thank you for listening!
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#63
Nov 12, 2025 · 1 hr 5 min
How to Measure the Real ROI of Data & AI
With Michael Shaw — SVP, Data & AI at Dow Jones How should organisations measure the real value of their Data and AI investments? In this episode, Ben Parker speaks with Michael Shaw about one of the biggest challenges facing Data and AI leaders: defining what success actually looks like. Drawing on experience at Dow Jones, Google, Facebook and Instacart, Michael explores how organisations can connect Data initiatives to business objectives, balance quick wins with long-term value, and set realistic expectations with stakeholders. The conversation also examines why ROI goes beyond financial returns, the importance of strong data foundations and adoption, and how AI is changing expectations around the value Data teams are expected to deliver. You’ll hear practical insights on: How to define success for Data and AI initiatives Connecting Data investments to business outcomes Balancing quick wins with long-term value Why Data Quality and Governance affect ROI Driving adoption across the wider organisation Measuring value beyond direct financial returns How AI is changing expectations of ROI Chapters 00:00 Introduction 01:58 Michael's career and leadership journey 28:08 Defining success and ROI in Data 32:04 Why strong Data foundations matter 33:05 Balancing stakeholder expectations and quick wins 44:31 Driving adoption and cultural change 54:31 How AI is changing expectations of ROI Thank you for listening!
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#62
Nov 5, 2025 · 45 min
How to Build Effective Data Standards in Pharma
With Priya Gopal — Founder, Inferential Data LLC | Former Takeda & GSK Why are strong data standards so important in pharma and why are they so difficult to implement consistently? In this episode, Ben Parker speaks with Priya Gopal about what it takes to build and implement effective data standards across complex pharmaceutical organisations. Drawing on her experience across clinical research and major pharma companies including Takeda and GSK, Priya explores the importance of cultural readiness, the challenges of implementing standards across global teams, and how organisations can balance regulatory requirements with internal Data Governance. The conversation also examines how better data standards can enable innovation, the growing role of AI and automation, and why greater collaboration across the industry could help pharma move faster. You’ll hear practical insights on: Why data standards matter in pharma The biggest barriers to implementing standards consistently Balancing global regulation with internal Data Governance Why culture matters when driving Data transformation How stronger standards can enable innovation The role of AI and automation Why cross-industry collaboration matters Chapters 00:00 Introduction 01:23 Priya's career and leadership journey 10:20 Lessons from Data transformation in pharma 20:34 Building effective Data standards 28:42 Balancing regulation and Data Governance 34:18 AI and automation in pharma 39:42 Collaboration and the future of pharma Data Thank you for listening!
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#61
Oct 29, 2025 · 50 min
Core Data Principles That Drive Business Value
In this episode of Data Analytics Chat, we welcome Shourabh Mukherji, a data and analytics expert with 25 years of experience at major firms such as Chubb and JPMorgan Chase. Shourabh shares his journey from starting a small enterprise in India to working with senior executives in the United States. The discussion examines his career milestones, key challenges, and the vital leadership skills required in the industry. The data topic explores essential data management principles, the importance of aligning data strategies with business objectives, and the role of AI and new technologies in modern enterprises. Shourabh emphasises the significance of building strong data foundations and fostering empathy within teams to drive successful data-driven decisions. 00:00 A Defining Moment: Leap of Faith 01:19 Introduction to Data Analytics Chat 02:08 Shourabh Mukherji's Career Journey 07:07 Challenges and Defining Moments 09:47 Building Trust and Stakeholder Management 15:57 Key Skills for Leadership 22:32 Core Data Management Principles 25:38 Understanding Business Needs Before Data Management 26:42 Centralised vs. Embedded Data Quality Ownership 28:09 The Importance of Needs Analysis in Data Management 31:54 Identifying and Prioritising Business Needs 34:15 Building a Strong Data Solution Framework 40:05 Effective Data Distribution for Decision Making 42:53 Aligning Business Objectives with Data Initiatives 44:42 Evolving Data Management Strategies with AI Thank you for listening!
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#60
Oct 22, 2025 · 56 min
How Hard Is It to Get Things Done in Data Projects
In this episode of Data Analytics Chat, we sit down with Juan Gorricho, a leader in data analytics with experience at top companies like Walt Disney, Visa, and TD Bank. Now the founder of Strategic Data Transformation, Juan shares his journey in the data field, the challenges of delivering data projects, the importance of aligning data projects with business goals, and managing expectations amid the AI hype. He also provides leadership lessons, emphasising the value of empathy, listening, and team growth. 00:00 Introduction to Data Analytics Chat 00:07 Guest Introduction: Juan Gorricho Career Journey 01:00 Early Career and Education 01:37 The Intersection of Data, Technology, and Business 06:05 Challenges and Success in Data Projects 11:46 Managing Expectations in the AI Hype Cycle 15:25 Leadership Lessons and Team Management 23:36 Influences and Principles of Leadership 27:22 Breaking into Leadership: Overcoming Fears and Embracing Change 29:56 The Importance of Servant Leadership 30:45 Challenges in Data Projects: Business Alignment and Adoption 34:23 Human and Cultural Roadblocks in Data Projects 43:22 The Role of Communication in Data Project Success 52:03 Overcoming Obstacles and Achieving Success in Data Projects Thank you for listening!
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#59
Oct 15, 2025 · 42 min
How Gen AI and Agents Are Reshaping The Game
9In this episode of Data Analytics Chat, we sit down with Dushyanth Sekhar, Head of AI and Data Platforms at S&P Global. Dush shares key insights from his career journey, emphasising the importance of learning from failures in the AI space. He discusses his transition from a non-technology background to leading AI and data initiatives, the role of continuous learning, and the significance of setting a vision and promoting a risk-taking culture in leadership. The conversation highlights the strategic implementation of generative AI and agents in transforming data workflows and enhancing company growth. 00:00 Embracing Failures in AI 01:07 Introduction to the Podcast and Guest 01:50 Career Journey and Early Beginnings 03:03 Transition to AI and Key Learnings 04:19 Defining Moments and Career Decisions 05:33 Moving to the US and Professional Growth 10:16 Leadership Insights and Risk-Taking 17:19 Staying Updated in a Fast-Paced Field 19:36 Excitement for the Future of AI 21:10 Overestimating Risk and Underestimating Opportunity 21:54 The Evolution of Language Models at S&P 23:49 Integrating AI into Workflows 28:31 Enhancing and Creating New Products with LLMs 30:54 Future-Proofing and Optimising with AI 37:19 The Role of Agents in AI 40:19 Lessons Learned from AI Integration 41:40 Conclusion and Final Thoughts Thank you for listening!
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#58
Oct 8, 2025 · 56 min
How Agentic AI Will Impact Business
In this episode of Data Analytics Chat, we welcome Sundip Gorai, Global Head of Data Science and AI at Global Payments, a Fortune 500 company. Sundip shares insights from his expansive career journey, which spans across various industries like banking and manufacturing, and discusses how agentic AI is revolutionising business. He offers insight into AI strategy, the challenges of adopting AI, and the importance of striking a balance between technology and ethics and social responsibility. Sundip also reflects on the future of work, the impact of AI on jobs, and the need for continuous learning in this rapidly evolving field. 00:00 Introduction and Initial Thoughts on Leadership 01:04 Welcome to Data Analytics Chat 02:18 Sundip Gorai's Career Journey 08:11 Defining Moments and Challenges in Career 17:17 Leadership Skills and Attributes 19:47 Meditation and Stress Management 24:10 Approaching AI Strategy 28:54 Choosing the Right Tools for AI Strategy 29:04 The Unchanging Layers of AI Strategy 30:01 The Obsession with Tools and Technologies 31:07 Understanding Agent AI 34:07 Industries Adopting Agent AI 39:01 Challenges in Deploying AI 43:15 Impact of AI on Jobs and Skills 49:10 Future of Business and Mankind with AI Thank you for listening!
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#57
Oct 1, 2025 · 38 min
How a Measured Data Stack Can Impact Business Decisions
In this episode of Data Analytics Chat, host Ben welcomes Matthew Paruthickal, Global Head of Data and AI Architecture Engineering at Sanofi, to discuss the evolution of data technology from single-box systems to agent AI. They explore Matthew's career journey, the importance of solving business problems with technology, and the significant moments that shaped his approach to data. Topics include the layered data stack, overcoming technical and organisational challenges, the role of trust and speed in data, and how businesses can leverage AI for better decision-making. 00:00 The Evolution of Data and AI 00:48 Introduction to the Podcast and Guest 01:48 Matthew's Career Journey 02:17 Technological Shifts in Data Management 03:46 The Importance of Trust and Speed in Data 07:40 Defining Moments and Career Setbacks 09:46 Mentorship and Business Value 16:51 Building a Layered Data Stack 19:09 Understanding the Layered Data Stack 20:12 Challenges in Executing a Layered Data Stack 21:14 Top-Down and Bottom-Up Approach 22:07 The Importance of Business Focus 23:53 Aligning Data Stack with Strategic Decision Making 26:30 E-commerce Data Challenges and Solutions 29:14 Common Difficulties in Data Tool Investments 31:17 Evaluating New Data Tools 35:27 Balancing Automation with Real-Time Insights 37:12 Conclusion and Final Thoughts Thank you for listening!
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#56
Sep 24, 2025 · 46 min
Choosing The Right Signal on Human Intuition or AI Insight
In this episode of the Data Analytics Chat podcast, we welcome Sameer Sethi, Chief AI Officer at Hackensack Meridian Health, to discuss his exciting career journey and the evolving balance between human intuition and AI-driven decision signals. Sameer offers his perspective on the maturation of data analytics, the acceleration of technology adoption during the COVID-19 pandemic, and the role of AI in transforming healthcare delivery. He also examines the risks associated with over-reliance on AI, the value of human-factor engineering in successful AI implementation, and why human judgment remains indispensable in high-stakes environments. 00:00 Introduction to Data and AI Journey 00:29 Impact of COVID on Technology Adoption 01:06 Welcome to the Podcast 01:41 Sameer's Career Journey 03:13 Pivot to Healthcare 06:22 Defining Moments in Healthcare Technology 14:18 Challenges and Setbacks 15:53 Importance of Mentorship and Self-Awareness 20:40 Networking and Experiencing the Field 23:40 Choosing the Right Data Signals 25:08 AI and Job Security: A Balanced Perspective 28:18 Human Intuition vs. AI Signals in Healthcare 29:56 The Importance of Human Factor Engineering 33:50 Ensuring Trustworthy Data Signals 35:32 The Future of AI in Process Automation 38:16 Blending Human Oversight with AI Decision Making 44:09 The Critical Role of Data in AI 46:18 Conclusion and Final Thoughts Thank you for listening!
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#55
Sep 17, 2025 · 40 min
Personalised Medicine & Why The Right Data Matters
In this episode of the Data Analytics Chat podcast, host Ben Parker welcomes Steve Labkoff, Vice President for Development and Medical Analytics at Bristol Myers Squibb. Steve shares his incredible career journey, from starting as a traditional physician to pioneering roles in medical informatics and analytics across various pharmaceutical companies. The discussion explores the intricacies of personalised medicine, highlighting the importance of identifying the right data and the challenges it presents. Steve also highlights the impact of life experiences on his career, the value of mentorship, and his innovative contributions, including the development of video game simulations for medical training and the establishment of a hospital for AIDS care in Africa. 00:00 Introduction to Data Analytics Chat 00:33 Steve Labov's Career Journey 02:09 Transition to Informatics 03:49 Major Projects and Achievements 09:54 Challenges and Setbacks 12:50 The Role of Mentorship 20:43 Personalised Medicine and Data 24:15 The Future of AI in Healthcare 32:14 Challenges in Data Interoperability 39:08 Conclusion and Final Thoughts Thank you for listening!
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