Episode archive
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81 episodes
Are Companies Wasting Money on Data & AI?
In this episode of Data Analytics Chat, we welcome Lior Barak, Author & Founder of Impact Operations. After 15+ years in data organisations, Lior now helps data teams and their leadership treat data and AI as a capital allocation decision, so teams can show what their work returns, not just what it costs. Lior is the author of What Data Really Costs, a business fable about the hidden cost of data: the "zombie taxes" and "FTE debt" that organisations pay every year when business teams spend their time checking, rebuilding and second-guessing data. Listeners can read the first two chapters of the book here: https://liorbarak.com/what-data-really-costs We discuss how leaders should decide what is worth funding, when to stop a project, how to escape the POC trap, and how technical teams can stay focused on work that creates real business value. 00:00 Cold Open 01:24 Introduction to Data Analytics Chat 02:15 Introducing Lior Barak and His Background 03:29 Should Technical Teams See the Commercial Value and Cost of Their Work? 09:19 Where the Most Money and Time Is Wasted Across Data & AI 12:15 Why Companies Invest in Projects That Don't Create Business Impact 15:51 Questions Leadership Should Ask Before Funding a Data or AI Initiative 18:50 Building the Business Case Before the Team Starts Building 24:00 Communicating Value Effectively to Senior Stakeholders 27:29 What Are We Actually Getting Back for All This Data & AI Spend? 32:09 Deciding Which Projects to Continue, Deprioritise or Stop 34:19 The POC Trap: What Makes a Project Production-Worthy? 38:29 How Technical Teams Can Work on Problems That Matter, Not Just Tickets 39:52 What a High-Performing Data & AI Team Looks Like 45:22 What Leaders Should Audit First on Their Roadmap Connect with our guests: Lior Barak, Author & Founder, Impact Operations: https://www.linkedin.com/in/liorbarak/
· 48 min
ListenYour AI Is Live. But Is It Actually Working?
In this episode of Data Analytics Chat, we welcome Ryan Stevens, Senior Director of Applied Science at Ramp, the financial technology company helping businesses save time and money across cards, bill pay, expense management, travel and more. Ryan leads a team of machine learning engineers and product data scientists, and before Ramp he worked on ads ranking at Meta. He also holds a PhD in economics.
· 39 min
ListenNestlé’s Chief Data & AI Officer on Scaling AI
In this episode of Data Analytics Chat, we welcome Jessica Matheron, Chief Data & AI Officer at Nestlé. Jessica brings a rare mix of experience to the role, from a French engineering and mathematics background and a Harvard MBA to a decade trading structured credit on Wall Street, followed by roles across fintech, ad tech and e-commerce before joining Nestlé.
· 49 min
ListenAI Is Moving Fast. Is Your Data Ready?
In this episode of Data Analytics Chat, we welcome Erica Howard, Head of Consumer Data Ownership at TD. Erica has spent 18 years at the bank, starting in the call centre before working on TD's early data governance model in 2012, moving into analytics, and returning to data management to bridge the gap between technology and the business. Today she works with business segments to embed data management practices and owns the bank's customer master data.
· 46 min
ListenThey Tried 3 Times. Then AI Changed the Enterprise Data Build
In this episode of Data Analytics Chat, we welcome Mary Alfheim, VP of Data and Analytics, and Joseph Kroon, Data Architect, both from Headspace. Mary previously led analytics teams at Amazon Prime Video and HBO, while Joseph spent time in Cigna's data organisation and, earlier, as a Black Hawk helicopter crew chief in the National Guard.
· 46 min
ListenWhy Trust Is the Missing Link Between AI and ROI
Trust in AI: How Do You Build Trust That Creates Real Business Value? Companies are pouring billions into AI, but investment alone doesn't deliver value. In this episode, Ben Parker sits down with Paul Drennan to unpack why trust is the missing link between AI spending and real business outcomes. They explore what builds — and breaks — trust in AI systems, how organisations can balance encouraging adoption with maintaining healthy scepticism, and why technically excellent AI can still fail without user confidence. From managing hallucination risks and human-in-the-loop decisions to measuring genuine ROI, Paul shares practical steps leaders can take within 90 days to move from AI experimentation to measurable, trusted results. Timestamps: 1:59 — Quick introduction: Who is Paul Drennan? 4:25 — How much of the AI value problem comes down to trust? 8:26 — What needs to happen before employees and leaders are comfortable relying on AI? 13:13 — Can technically excellent AI still fail without trust and adoption? 15:35 — What are the biggest things that cause people to lose trust in AI? 16:34 — How should organisations manage the risk of convincing but wrong AI answers? 20:36 — Finding the balance between encouraging AI use and questioning its outputs 23:42 — Where should human judgement remain as organisations automate more decisions? 29:22 — What is the relationship between trust, adoption, and ROI? 33:12 — How should leaders measure genuine business value from AI initiatives? 34:40 — What should organisations put in place across technology, data, governance, and people? 43:25 — How should organisations continue testing and monitoring AI to maintain trust? 47:42 — What are successful organisations doing differently to build trust and adoption? 53:17 — The first meaningful action to improve trust and ROI in 90 days
· 59 min
ListenFrom Legacy to AI: The Playbook for Transformation
From Legacy to AI: The Playbook for Transformation
· 45 min
ListenFrom Data Projects to Data Products: Essential Skills for AI Leaders
With Elena Alikhachkina — 4x Chief AI & Data Officer and Board Advisor
· 42 min
ListenThe Future of Data Science & Data Engineering in the Age of AI
With Phoenix Pei — SVP, Analytics Manager at Truist
· 38 min
ListenHow To Make Successful Decisions In AI
With Durai Rajamanickam — Senior AI Leader
· 24 min
ListenWhat It Really Takes to Adopt Generative AI at Scale
With Nayan Paul — Managing Director & Chief Architect, Generative AI at Accenture
· 39 min
ListenWhy Most Organisations Aren’t Ready for AI — Even If They Think They Are
With Sujit Narapareddy — Head of Data & Analytics, AWS Sales
· 31 min
ListenThe Reality of AI Today: Beyond the Hype
With Carlos Pineda — Head of Data Analytics & Insight, Diageo North America
· 34 min
ListenWhy Hiring and Retaining Top AI Talent Has Become Harder Than Ever
With Misha Trubskyy — Head of Claims Data Science, Mercury Insurance
· 1h 11m
ListenThe Hidden Cost of Poor Data Quality
With Carol Kim — Executive Director, IBM
· 24 min
ListenAI Agents: From Hype to Enterprise Value
With Ilya Meyzin — SVP, Head of AI Solutions at Dun & Bradstreet
· 49 min
ListenThe Power of Personalisation: How AI Influences What We Buy
With Allison Olson — SVP, Analytics Solutions at Merkle
· 44 min
ListenWhat It Really Takes to Scale Generative AI
With Viji Krishnamurthy — VP & Head of AI and Generative AI at Oracle
· 58 min
ListenHow to Measure the Real ROI of Data & AI
With Michael Shaw — SVP, Data & AI at Dow Jones
· 1h 5m
ListenHow to Build Effective Data Standards in Pharma
With Priya Gopal — Founder, Inferential Data LLC | Former Takeda & GSK
· 45 min
ListenCore 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.
· 50 min
ListenHow 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.
· 57 min
ListenHow 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.
· 42 min
ListenHow 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.
· 56 min
ListenHow 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.
· 38 min
ListenChoosing 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.
· 47 min
ListenPersonalised 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.
· 41 min
ListenBuilding AI Without Foundations
In this episode of the Data Analytics Chat podcast, we explore the world of data and AI with Linda Powell, former Deputy Chief Data Officer.
· 45 min
ListenWhy Every Company Needs a Data Platform Strategy
In this episode of Data Analytics Chat, host Ben Parker interviews Manoj Mohan, an engineering executive with experience at Intuit, Meta, Apple, and Cloudera.
· 43 min
ListenHow To Solve Business/Consumer Problems Using AI
In this episode of Data Analytics Chat, host Ben Parker interviews Bilal Ahmed, Chief AI and Data Officer at Paul Tech AG, about his career journey and invaluable insights into the world of data and AI.
· 39 min
ListenHow Do We Thread Gen AI Into Our Processes?
In this episode of Data Analytics Chat, host Ben Parker welcomes Tony Giordano, the Senior Partner and VP for Global Data Platform Services at IBM. They discuss Tony's extensive career, including pivotal moments and lessons learned from working globally in the data space.
· 58 min
ListenWhat Happens When We Adopt AI – The Change Management Journey
Kartick Kalaimani, VP at Dentsu, joins Ben Parker to demystify AI adoption and its critical human element. This insightful episode delves into common misconceptions about AI, highlighting the importance of clean data, clearly defined use cases, and strong change management. Kartick shares his extensive career journey and provides actionable advice on bridging the gap between technology and people, emphasising that successful AI transformation is ultimately a human journey focused on belief and adoption. In this episode, you will learn:
· 34 min
ListenWhy Have Firms Not Focused on Data Readiness
In this episode of Data Analytics Chat, host Ben Parker interviews Nipa Basu, a seasoned data analytics executive. Nipa shares her captivating career journey from pursuing a PhD in economics in India to becoming a Chief Data Officer in the United States. They discuss pivotal moments that shaped her career, the evolution of data science, and what distinguishes good leaders from great ones in the tech industry. They also delve into why many firms struggle with data readiness and the importance of balancing technical expertise with soft skills.
· 46 min
ListenTurning AI into ROI: How to Build Value, Not Just Models
In this episode of Data Analytics Chat, we welcome David Ellison, Chief Data Scientist and Director of AI Engineering at Lenovo.
· 38 min
ListenCan We Trust GenAI?
In this episode of Data Analytics Chat, host Ben Parker welcomes Michael Hicks, Executive Director at Novartis.
· 54 min
ListenThe Hidden Barriers to Data Maturity
In this episode of Data Analytics Chat , host Ben Parker sits down with Jessica Talisman, Senior Information Architect at Adobe, to uncover why so many organisations struggle to move beyond basic data management.
· 1h 7m
ListenHow to Lead and Coach High-Performing Data Teams
In this episode of Data Analytics Chat, host Ben Parker speaks with Joe Bugajski, former Chief Data Officer at Visa and Gartner.
· 1h 19m
ListenWhat It Really Takes to Drive AI Adoption
In this episode of Data Analytics Chat, host Ben Parker talks with Anju Gupta, the Chief Data and AI Officer at BNSF Railway, to explore her successful career journey to date and discuss AI adoption.
· 57 min
ListenWhy Data Projects Keep Failing
Why do so many data and analytics projects fall short, even in the most well-funded companies?
· 49 min
ListenThe Gen AI Shift: Data Engineering Redefined
In this episode of Data Analytics Chat, host Ben Parker talks with Shashi Kumar, Head of Data Engineering & Analytics at Hearst, to explore how the rise of generative AI is reshaping the role of data engineering.
· 35 min
ListenBMW’s AI Leader on Soft Skills, Career Growth & Thriving in Tech
In this episode of Data Analytics Chat, Ben Parker chats with Gerrit Grotewold, Head of Personalisation at BMW Research, to explore what it takes to build a long, impactful career in data and AI.
· 29 min
ListenHow to Lead and Succeed in Data
In this episode of Data Analytics Chat, host Ben Parker sits down with Sassoon Kosian, Corporate Vice President of Data Science at New York Life, to explore the journey from early challenges in physics to becoming a leader in the data and AI space.
· 28 min
ListenWhat It’s Really Like Being a CDO in 2025
In this episode of Data Analytics Chat , host Ben Parker sits down with Aaron Hand, Chief Artificial Intelligence Officer at ArcelorMittal, to reveal what life is really like in the C-suite.
· 48 min
ListenBreaking Barriers in AI
In this episode of the Data Analytics podcast, we welcome Pablo Vega Behar, Director of Machine Learning at Fitch Group.
· 29 min
ListenData ROI Unlocked: Turning Analytics into Real Business Value
In this episode of the Data Analytics podcast, we welcome Milan Dhore, Director of AI Strategy and Cloud Engineering at The Hartford.
· 41 min
ListenHow To Get Right Data Prepared For Generative AI
In this episode of Data Analytics Chat, we welcome Swetha Devabhaktuni, Head of Data & Analytics at Synechron.
· 28 min
ListenLeading with Data in the Age of AI
In this episode of Data Analytics Chat, we welcome Shaina Boone, Chief Analytics Officer at PHD Media.
· 36 min
ListenYou Don’t Need to Code to Succeed in Data: Here’s What Matters Most
In this episode of Data Analytics Chat, we welcome Robin Sutara, Field Chief Data Strategy Officer at Databricks.
· 45 min
ListenWhy Purpose Matters: From Pharma Exec to Startup
In this episode of Data Analytics Chat, we welcome Oscar Carrasco Zevallos, the former Director of Data at Johnson & Johnson and now a startup founder.
· 39 min
ListenWhy Data is No Longer Just an Enabler
In this engaging episode of Data Analytics Chat, host Ben Parker interviews Stephen Harris, an industry expert in cloud, data, and AI.
· 33 min
ListenFrom Consultant to Global Data Leader
In this episode of Data Analytics Chat, host Ben Parker interviews Parag Shrivastava, Head of Data and Analytics Portfolio at Hewlett Packard Enterprise.
· 44 min
ListenHow AI and Generative AI is Transforming Healthcare
In this episode of Data Analytics Chat, we explore how AI and Generative AI is transforming the healthcare industry. Amit Shukla, VP for Global Consulting Services at IQVIA, joins us. Amit shares his insights on the impact of AI and generative AI in the healthcare sector. We explore the advancements in drug discovery, data integration, and patient outcomes, as well as the challenges of implementing AI technologies.
· 46 min
ListenHas Gen AI Overshadowed Traditional AI
In this episode of Data Analytics Chat, we discuss whether generative AI has overshadowed traditional AI models. Hugo Delgado, a Senior Data Executive, joins us. We explore why generative AI is currently dominating conversations. Hugo shares his journey from a fixed-income trader to a data science consultant, offering insights into the challenges and limitations of AI adoption. The topics covered include the differences between generative and traditional AI, the cultural shifts required for AI integration, and how companies can build effective AI strategies. 00:00 Introduction to the Episode 00:21 Guest Introduction: Hugo Delgado 01:33 Diving into Generative AI 04:23 Generative AI vs Traditional AI 08:10 Challenges in Scaling Gen AI 08:57 Cultural Impact and Change Management 14:50 Traditional AI Solutions and Their Value 21:12 Building Effective AI Strategies39:03 Conclusion and Final Thoughts
· 42 min
ListenRedefining the Workplace: The Power of AI & ML
In this episode of Data Analytics Chat, we explore the transformative impact of AI and machine learning on the workforce. Barbara Widholm, VP of Bionics at State Street, a leading financial services company, joins us. She shares insights from her nine years at State Street, covering topics like AI's impact on data-intensive tasks, generating strategic insights, and the future of AI in financial services. We discuss strategies for integrating AI, managing resistance to change, and fostering a culture of continuous learning. 00:00 Introduction to AI and Workforce Transformation 00:31 Meet Barbara Widholm, VP of Bionics at State Street 03:06 Impact of AI on Job Roles 05:30 AI: Augmenting vs. Replacing Jobs 07:37 Overcoming Resistance to AI Adoption 12:15 Skills for Success in an AI-Driven World 14:25 Challenges in Integrating AI 15:45 Effective Upskilling and Reskilling Strategies 22:18 Managing Stress and Preventing Burnout 24:51 Advice for AI Newcomers 26:09 Conclusion and Final Thoughts
· 26 min
ListenHow AI is Disrupting FinTech
In this episode of Data Analytics Chat, we explore the transformative impact of data analytics and AI in the fintech sector, particularly focusing on startups and maturing businesses. Manil Manohar, Head of Data at Ratepay, a FinTech organisation based in Berlin, joins us. We discuss many topics, including advancements in AI and analytics, customer experience personalisation, fraud detection, risk assessment, and the operational efficiencies of AI technologies. 00:00 Introduction to Today's Topic: Fintech and Analytics 00:31 Meet the Expert: Manil Manohar from Ratepay 00:56 The Role of Data in Decision Making 03:27 AI's Impact on the Fintech Industry 07:11 Leveraging Analytics for Market Opportunities 08:58 The Future of Crypto in Fintech 10:27 AI in Business Operations and Decision-Making 13:12 Challenges and Opportunities in AI Adoption 25:00 AI for Customer Experience and Fraud Detection 34:16 Optimising Operations and Reducing Costs with AI 36:26 Balancing AI Power with Data Privacy 38:03 Emerging Trends and Future Predictions in Fintech 42:27 Conclusion and Final Thoughts
· 43 min
ListenCan AI Cure Disease?
In this episode of Data Analytics Chat, we discuss the impact of AI on clinical research. Ben Gmeiner, Director of Medical Data Strategy and Science at Novartis, a global pharmaceutical organisation, joins us. We discuss AI's massive potential to revolutionise healthcare, enhance precision medicine, and improve clinical trials. Ben highlights the importance of integrating AI smoothly into existing workflows, ensuring data privacy, and overcoming regulatory challenges. We explore how AI can boost patient engagement and trial adherence and overcome the biggest barriers. 00:00 Introduction to Data Analytics Chat 00:30 Meet Ben Gmeiner, Director of Medical Data Strategy at Novartis 01:51 The Explosion of Health Data 02:45 AI's Transformative Impact on Clinical Research 04:13 Advancements in Clinical Trials with AI 10:23 Leveraging Health Data for AI Solutions 14:31 Challenges in AI Adoption in Healthcare 25:56 Regulatory Environment and AI Integration 31:39 Improving Patient Engagement with AI 34:04 Conclusion and Final Thoughts
· 35 min
ListenBuilding a Data Team From Scratch
In this episode of Data Analytics Chat, we discuss building a data team from scratch. Spriha Gogia, Senior Director of Data at Ophelia, a US healthcare organisation, joins us. As businesses strive to become data-driven to leverage insights, establishing a strong team is essential to being equipped to respond to market changes. We cover crucial topics such as identifying talent, establishing a data-driven culture, handling challenges, and aligning data team goals with overall business objectives, plus much more. Gain insights into forming a cohesive and effective data team in today's fast-paced business environment.
· 41 min
ListenImpact of AI and ML on Investment Firms
In this episode of Data Analytics Chat, we discuss the impact of AI and ML on Investment Firms. Limor Gultchin, VP of AI/ ML at Berkshire Partner, a Boston based Investment company, joins us. This field has had a magical influence across industries and here we explore the profound impact on the investment industry. We cover a range of topics, including current trends, disruptive technologies, and the transformative potential of large language models. Learn best practices for AI adoption and common pitfalls and strategies for staying ahead in this rapidly evolving field. 00:00 Welcome and Introduction 00:19 Guest Introduction: Limor Gultchin 01:16 Limor's Journey in AI and ML 03:13 The Impact of LLMs and AI in Business 05:37 Challenges and Opportunities with AI 08:10 Market Research and Trend Analysis 12:29 Leveraging AI for Innovation and Growth 19:45 Supporting Portfolio Companies with AI 23:19 Hands-On AI Development and Partnerships 25:02 The Role of NLP in Market Research 27:51 Key Lessons for AI Integration in Portfolio Companies 34:34 Challenges in Adopting AI Technologies 40:21 Common Misconceptions About AI 43:44 Importance of Data Quality and Governance 47:36 Staying Updated with AI Advancements 49:43 Conclusion and Final Thoughts
· 50 min
ListenEvolution of Data Governance
In this episode of Data Analytics Chat, we discuss the evolving world of data governance. Eric Falthzik, Data Governance Leader at Nousot, a Data & Analytics consulting business, joins us. We discuss the growing importance of data governance in today's data-driven landscape. Learn about the origins, current trends, and future of data governance, how it intersects with data privacy and security, and the crucial role of executive buy-in, organisational change, and continuous improvement in successful implementation. Eric also shares real-life examples and practical tips for managing and enhancing data governance strategies across various industries. 00:00 Introduction to Data Analytics Chat 00:23 Meet Eric Falthzik: Data Governance Leader 01:48 The Importance of Data Governance 02:46 Challenges in Data Governance 08:11 Data Governance and Data Privacy 11:53 AI and Machine Learning in Data Governance 17:15 Evolving Roles in Data Governance 27:57 Data Quality Challenges and Improvements 28:57 The Power of Incremental Improvements 29:51 The Importance of Consistency in Data Governance 31:03 The Never-Ending Journey of Data Governance 33:05 Growing Focus on Data Ethics 36:40 Challenges in Implementing Data Governance 42:22 Ensuring Business Value in Data Governance 45:57 Case Study: Successful Data Governance Transformation 49:29 Top Tips for Data Governance 51:58 Final Thoughts
· 52 min
ListenHumans and Data Strategy
In this episode of Data Analytics Chat, we discuss the complex interplay between data strategy and human elements. This conversation discusses critical aspects of the guest's five Cs framework (competence, collaboration, communication, creativity, and conscience) and the importance of empathy, communication, and leadership in successful data-driven transformations. We advise on overcoming resistance to change, fostering a data-centric culture, and the relevance of continuous training and development in implementing effective data strategies.
· 33 min
ListenHow to Empower Your Data Team
In this episode of Data Analytics Chat, we will discuss how to get the best out of your data team. Getting the most out of your team is essential for achieving peak performance and reaching organisational goals. A fully engaged and optimised team can drive innovation, improve efficiency, and deliver better results. Peilin Corbanese, Vice President of Analytics at EXL, a global Gen AI and Digital Transformation Management consultancy, joins us. 00:00 Introduction to Data Analytics Chat 01:03 Meet Peilin Corbanese: From Violinist to Data Leader 03:10 The Journey from Music to Data 07:55 Building a High-Performing Data Team 10:23 The Importance of Communication in Data Teams 14:11 Defining Roles and Responsibilities 22:08 Creating a Collaborative and Inclusive Team 23:04 Psychological Safety and Continuous Learning 31:19 Hiring Challenges and Strategies 39:00 Understanding Self and Others 39:47 The Role of Psychological Tests 41:31 Motivating and Engaging Teams 42:56 Balancing Team Dynamics 45:31 The Importance of Communication 46:37 Challenges in Leadership 49:18 Opportunities in the Insurance Industry 58:24 Encouraging Continuous Learning 01:02:14 Overcoming Productivity Challenges 01:06:01 The Value of Emotional Intelligence in Leadership 01:09:45 Conclusion and Final Thoughts
· 1h 10m
ListenHow Agile is Impacting Data Projects
In this episode of Data Analytics Chat, we will discuss how utilising the agile framework can help deliver data projects. Incorporating agile into data projects unleashes the power of adaptability and rapid iteration, transforming evolving challenges into opportunities for innovation and unlocking high-impact insights. Andrew D'Avanzo, Vice President of Data Analytics at Citi, a leading Financial Services company, joins us. In this episode, we will learn: 00:00 Introduction to Data Analytics Chat 00:52 Guest Introduction: Andrew from Citi 01:05 Andrew's Journey into Data 04:00 The Importance of Agile in Data Projects 06:44 Agile Development Lifecycle Explained 09:54 Applying Agile to Data Projects 13:12 Managing Changing Requirements with Agile 16:55 Promoting Collaboration with Agile 20:28 Managing Technical Debt with Agile 24:49 Challenges in Adopting New Technologies 26:54 Adopting Agile for Data Projects 29:48 Implementing Agile Methodologies 32:29 User Stories and Acceptance Criteria 35:31 Real-World Agile Success Story 40:42 Scaling Agile for Complex Projects 47:17 Conclusion and Final Thoughts
· 48 min
ListenHow to Do Data Engineering
In this episode of Data Analytics Chat, we explore how to do data engineering. Data engineering has become crucial for companies as it enables efficient data management, supports advanced analytics, ensures compliance, and drives data-driven decision-making. It is important for businesses to transform their raw data into valuable insights that inform strategic decisions. Samit Korgaonkar, Head of Engineering for Enterprise Data at Google, the global technology giant, joins us. In this episode, we will learn: 00:00 Introduction to Data Analytics Chat 00:32 Meet Sumit Korgaonkar: Head of Engineering for Enterprise Data at Google 01:55 The Evolution and Challenges of Data Management 07:38 The Role and Importance of Data Engineering 20:33 Key Components of a Successful Data Engineering Framework 24:17 Designing and Maintaining Robust Data Pipelines 28:31 Choosing the Right Tools for Your Project 30:21 Ensuring Data Quality and Integrity 34:08 Essential Tools for Data Engineering 36:06 Scaling Data Infrastructure 38:49 Compliance and Security in Data Engineering 40:29 Delivering Business Value Through Data Engineering 42:33 Emerging Trends in Data Engineering 46:23 Key Skills for Aspiring Data Engineers 50:22 The Evolving Role of Data Engineers 54:04 Conclusion and Final Thoughts
· 54 min
ListenHow Data Engineering Has Changed
In this episode of Data Analytics Chat, we look into the evolution of the DBA role into data engineering. Data is moving at a fast pace, and this insightful topic will explore how DBAs have transformed into data engineers, mastering data integration and analytics to drive data-driven business insights. Brad Lowenstein, Head of Data Engineering at AWS Finance, a global cloud technology company, joins us. In this episode, we will learn: 00:00 Introduction to the Evolution of DBA to Data Engineering 00:26 Guest Introduction: Brad Lowenstein 01:09 Brad's Journey into Data Engineering 03:39 The Role of a Traditional DBA 04:39 Technical Advancements Driving the Evolution 09:12 Skills and Competencies: DBA vs Data Engineer 14:52 Challenges in Transitioning from DBA to Data Engineer 20:28 Impact of Cloud Adoption on Data Engineering 24:34 Essential Tools and Platforms for Data Engineers 28:51 Advice for Aspiring Data Engineers 32:15 Future Trends in Data Engineering 37:02 Conclusion and Final Thoughts
· 43 min
ListenHow Can Businesses Make Better Decisions Using Data
In this episode of Data Analytics Chat, we discuss how businesses can make better decisions using data. It is a fascinating topic and a crucial one because it empowers companies to make informed, evidence-based decisions that enhance efficiency, competitiveness, and profitability. Linda Conrad, a Senior Executive who has worked for several leading global organisations, joins us. In this episode, we will learn: 00:00 Introduction to Data-Driven Decision Making 00:24 Meet Linda Conrad: A Data Executive's Journey 02:00 Understanding Data-Driven Businesses 03:45 Leveraging Data for Risk Management 06:41 Building a Data-Driven Culture 11:53 Improving Business Decisions with Data 23:34 Ensuring Data Accuracy and Quality 32:06 Future Trends in Data Analytics 35:58 Conclusion and Final Thoughts
· 39 min
ListenHow to Turn a High Volume of Information into Deep Insights
In this episode of Data Analytics Chat, we look at how to turn a high volume of information into deep insights. This insightful topic will examine how vast data can be transformed into meaningful insights for informed decision-making. Arvind Balasundaram, Executive Director, Commercial Insights & Analytics at Regeneron, a multinational Biotechnology company, joins us. In this episode, we will learn: 00:00 Introduction and Welcome 00:28 Guest Introduction: Arvind Balasundaram 02:42 Importance of Transforming Data into Insights 07:02 Challenges in Handling High Volumes of Data 12:44 Strategies for Collecting High-Quality Data 19:36 Data Cleaning in the Analytics Process 22:20 Data Cleaning and Provisioning 22:45 Tools and Techniques for Data Management 23:49 Challenges with Generative AI 24:32 Advanced Analytics Techniques 28:04 Integrating and Linking Data 30:27 Visualizing and Communicating Insights 40:16 Trends in Data and Analytics 44:37 Conclusion and Final Thoughts
· 45 min
ListenHow to Create Data Products to Drive Business Strategy
In this episode of Data Analytics Chat, we discover distilling insights and creating data products to drive business strategy. This insightful topic covers many exciting areas in today’s data field. Florencia Ardissone, Head of Customer Insights at JP Morgan Chase, a multinational Financial Services company, joins us. In this episode, we will learn: 00:00 Introduction and Today's Topic 00:41 Guest Introduction: Florencia Adesone 02:32 Challenges in Data Integration and AI 03:05 Building Robust Data Infrastructure 08:52 Balancing Data Privacy and Insights 16:43 Ensuring Compliance with Data Privacy Regulations 22:24 Prioritizing Features for Data Products 27:17 Strategies for Integrating Multiple Data Sources 33:47 The Journey of Data Integration 34:37 Navigating Vendor Relationships 37:31 Balancing Innovation and Delivery 42:03 Monetizing Data Effectively 49:10 Creating Value-Driven Data Products 52:18 Aligning Data Insights with Business Strategy 57:49 Real-World Examples of Data-Driven Decisions 01:04:42 Concluding Thoughts and Reflections
· 1h 11m
ListenHow AI and Generative AI Has Impacted The Insurance Industry
In this episode of 'Data Analytics Chat,' we explore the impact of Artificial Intelligence (AI) and Generative AI (Gen AI) on the insurance industry.
· 45 min
ListenThe Impact Of Data Science and AI In The Rail Industry
In this episode of Data Analytics Chat, we explore the impact of data science and AI in the railway industry. This interesting discussion provides great insights into our beloved rail industry. Olga Spackova, a Data Science Team Lead at KONUX, a startup organisation based in Germany, joins the podcast.
· 32 min
ListenThe Challenges and Importance of Data Monetisation
This episode explores the challenges and importance of data monetisation in the analytics industry.
· 37 min
ListenHow Is TinyML Being Used In Business Today
In this episode, we explore the emerging field of TinyML and its impact on business today. Bartmoss St Clair, a leader in the AI and Machine Learning industry, joins the podcast. We discuss TinyML and its advantages, including low power consumption, reduced latency, enhanced privacy, and lower business costs. In this episode, we will learn: 00:00 Introduction and Welcome 00:35 Meet Bartmoss Sinclair 02:38 TinyML: An Overview 03:36 Advantages of TinyML 06:29 Industry Applications of TinyML 11:46 Challenges in Implementing TinyML 25:09 The Future of TinyML 31:58 Conclusion and Shoutouts
· 37 min
ListenHow Is MLOps Being Deployed In Business
In this episode, we discuss the evolving landscape of data analytics, focusing on MLOps.
· 25 min
ListenHow Has AI Impacted User Experience
In this episode, we will take a deep dive into the world of user experience and the growing impact AI has in this space.
· 58 min
ListenThe Importance of Data Transformation
In this episode, we explore the world of data transformation and its significance for businesses in today’s rapidly changing digital landscape.
· 25 min
ListenHow to Progress From A Technical Role Into Leadership
In this episode, we explore the transition from a technical role into a leadership position.
· 26 min
ListenThe Evolution Of HR Analytics
In this episode, we dive into the evolution of HR Analytics in the workplace and the impact it can have on organisations.
· 42 min
ListenHow Generative AI Changed The AI Landscape
In this episode, we dive into the evolution of generative AI since its introduction and how it has progressed, including its breakthrough year in 2022.
· 29 min
ListenHow AI is Impacting Industries
In this episode, we explore the impact AI will have on specific industries, with artificial intelligence continuing to make the headlines with its revolutions.
· 52 min
ListenSuccess in Data Analytics, How to Address the Failure Rate
In this episode, we explore the success and challenges of data analytics projects.
· 30 min
ListenUnderstanding AI Ethics and Bias
In this episode, we explore the critical topics of ethics and bias in AI, which are of great significance in today's world due to recent technological advancements.
· 28 min
Listen