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DataFramed

The role of data analysts is evolving, not disappearing. With generative AI transforming the industry, many wonder if their analytical skills will soon become obsolete. But how is the relationship between human expertise and AI tools really changing? While AI excels at coding, debugging, and automating repetitive tasks, it struggles with understanding complex business problems and domain-specific challenges. What skills should today's data professionals focus on to remain relevant? How can you leverage AI as a partner rather than viewing it as a replacement? The balance between technical expertise and business acumen has never been more critical in navigating this changing landscape.

Mo Chen is a Data & Analytics Manager with over seven years of experience in financial and banking data. Currently at NatWest Group, Mo leads initiatives that enhance data management, automate reporting, and improve decision-making across the organization. After earning an MSc in Finance & Economics from the University of St Andrews, Mo launched a career in risk and credit portfolio management before transitioning into analytics. Blending economics, finance, and data engineering, Mo is skilled at turning large-scale financial data into actionable insight that supports efficiency and strategic planning. Beyond corporate life, Mo has become a passionate educator and community-builder. On YouTube, Mo hosts a fast-growing channel (185K+ subscribers, with millions of views) where he breaks down complex analytics concepts into bite-sized, actionable lessons.

In the episode, Richie and Mo explore the evolving role of data analysts, the impact of AI on coding and debugging, the importance of domain knowledge for career switchers, effective communication strategies in data analysis, and much more.

Links Mentioned in the Show:

Mo’s Website - Build a Data Portfolio WebsiteMo’s YouTube Channel • Connect with 
MoGet Certified as a Data AnalystRelated Episode: Career Skills for Data Professionals with Wes Kao, Co-Founder of MavenRewatch RADAR AI • 

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#326 Is the Data Analyst Role Dying Out? with Mo Chen, Data & Analytics Manager at NatWest Group

Leadership in data-driven organizations requires a delicate balance of technical expertise and human understanding. As businesses navigate unprecedented uncertainty in global markets, geopolitics, and technological change, the role of data as a source of truth becomes increasingly vital. But how do you create a culture where data informs decisions at every level? What separates leaders who merely collect data from those who leverage it to drive bold, transformative action? For data professionals looking to advance their careers, the challenge extends beyond technical skills to understanding how data connects to broader business strategy and organizational purpose.

Carolyn Dewar is the founder and global co-leader of McKinsey & Company’s CEO Practice, where she partners with CEOs, founders, boards, and senior executives to help them maximize their effectiveness and lead their organizations through critical moments, including hypergrowth, transformation, crises, and mergers. Drawing on her extensive research and experience, Carolyn works with leaders across all stages of the CEO journey to drive large-scale organizational change, set bold strategies, and shape company culture to align leadership teams, manage external stakeholders, and optimize executive time and operating models. She helps CEOs develop the mindsets and frameworks needed to succeed in their role, ensuring they deliver lasting impact and sustainable growth.

A recognized thought leader, Carolyn is the co-author of CEO Excellence: The Six Mindsets That Distinguish the Best Leaders from the Rest (a New York Times bestseller) and A CEO for All Seasons: Mastering the Cycles of Leadership. She publishes the monthly Strategic CEO newsletter and has contributed over 30 articles to Harvard Business Review, The Conference Board, and McKinsey Quarterly. Carolyn is also a member of the McKinsey Global Institute Council, which advises on MGI’s research on global economic, business, and technology trends. With over 25 years of experience advising clients across industries, including financial services, technology, and consumer sectors, Carolyn is also a sought-after keynote speaker and panelist at global conferences.

In the episode, Richie and Carolyn explore common mistakes for CEOs, the unique responsibilities of a CEO, the importance of data-driven decision-making, fostering a data-centric culture, aligning data and business strategies, and much more.

Links Mentioned in the Show:

CEO Excellence: The Six Mindsets That Distinguish the Best Leaders from the Rest • Connect with 
CarolynSkill Track: Artificial Intelligence (AI) LeadershipRelated Episode: From Panic to Profit, Via Data with Bill Canady, CEO at Arrowhead Engineered ProductsRewatch RADAR AI • 

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#325 Using Data to Master the Cycles of Leadership with Carolyn Dewar, Global Practice Leader at McKinsey

Behavioral science is revolutionizing how businesses connect with customers and influence decisions. By understanding the psychological principles that drive human behavior, companies can create more effective marketing strategies and product experiences. But how can you apply these insights in your data-driven work? What simple changes could dramatically improve how your audience responds to your messaging? The difference between abstract and concrete language can quadruple memorability, and timing your communications around 'fresh start' moments can increase receptivity by over 50%. Whether you're designing user experiences or communicating insights, understanding these hidden patterns of human behavior could be your competitive advantage.

Richard Shotton is the founder of Astroten, a consultancy that applies behavioral science to marketing, helping brands of all sizes solve business challenges with insights from psychology. As a keynote speaker, he is known for exploring consumer psychology, the impact of behavioral experiments, and how biases shape decision-making. He began his career in media planning over 20 years ago, working on accounts such as Coca-Cola, Lexus, Halifax, Peugeot, and comparethemarket. He has since held senior roles including Head of Insight at ZenithOptimedia and Head of Behavioral Science at Manning Gottlieb, while also conducting experiments featured in publications such as Marketing Week, The Drum, Campaign, Admap, and Mediatel. Richard is the author of two acclaimed books: The Choice Factory (2018), which was named Best Sales & Marketing Book at the 2019 Business Book Awards and voted #1 in the BBH World Cup of Advertising Books; and The Illusion of Choice (2023), which highlights the most important psychological biases business leaders can harness for competitive advantage.

In the episode, the two Richards explore the power of behavioral science in marketing, the impact of visual language, the role of social proof, the importance of simplicity in communication, how biases influence decision-making, the fresh start effect, the ethical considerations of using behavioral insights, and much more.

Links Mentioned in the Show:

Richard’s Book—Hacking the Human Mind: The behavioral science secrets behind 17 of the world's best brandsAstrotenBlog: To create strong memories, use concrete language • Connect with 
RichardCourse: Marketing Analytics for BusinessRelated Episode: Career Skills for Data Professionals with Wes Kao, Co-Founder of MavenRewatch RADAR AI • 

New to DataCamp?

 • Learn on the go using the
 DataCamp mobile app • Empower your business with world-class data and AI skills with
 DataCamp for business

#324 Using Behavioral Science to Hack Your Customers Minds with Richard Shotton, Founder at Astroten

Data literacy and AI literacy are becoming essential skills in today's digital landscape. As organizations collect more data and deploy AI solutions, the ability to understand, interpret, and make decisions with these tools is increasingly valuable. But how do we develop these skills effectively across an organization? What does successful implementation of data and AI literacy programs look like in practice? The journey to becoming data literate doesn't require becoming a data scientist—it's about building confidence and comfort with data in your specific role. From change management strategies to measuring real value, understanding how to foster these skills can transform both individual careers and organizational outcomes.

Jordan Morrow is known as the "Godfather of Data Literacy," having helped pioneer and invent the entire field. He is also the founder and CEO of Bodhi Data and currently is the Senior Vice President of Data & AI Transformation for AgileOne, helping to utilize data and AI in the total talent management space.

Jordan is a global trailblazer in the world of data literacy and enjoys his time traveling the world speaking and/or helping companies. He served as the Chair of the Advisory Board for The Data Literacy Project, has spoken at numerous conferences around the world, and is an active voice in the data and analytics community. He has also helped companies and organizations around the world, including the United Nations, build and/or understand data literacy.

In the episode, Richie and Jordan explore the progress and challenges in data literacy, the integration of AI literacy, the importance of storytelling and decision-making in data training, how organizations can foster a data-driven culture, practical tips for using AI in meetings and personal productivity, and much more.

Links Mentioned in the Show:

Pre-order Jordan’s upcoming book - Data and AI Skills: Gain the Confidence You Need to SucceedJordan’s BooksConnect with JordanDataCamp Webinar Featuring the Godparents of Data Literacy - Jordan Morrow and Valerie LoganRelated Episode: Scaling Responsible AI Literacy with Uthman Ali, Global Head of Responsible AI at BPRewatch RADAR AI 

New to DataCamp?

Learn on the go using the DataCamp mobile app

Empower your business with world-class data and AI skills with DataCamp for business

#323 The Evolution of Data Literacy & AI Literacy with Jordan Morrow, Godfather of Data Literacy

The relationship between AI assistants and data professionals is evolving rapidly, creating both opportunities and challenges. These tools can supercharge workflows by generating SQL, assisting with exploratory analysis, and connecting directly to databases—but they're far from perfect. How do you maintain the right balance between leveraging AI capabilities and preserving your fundamental skills? As data teams face mounting pressure to deliver AI-ready data and demonstrate business value, what strategies can ensure your work remains trustworthy? With issues ranging from biased algorithms to poor data quality potentially leading to serious risks, how can organizations implement responsible AI practices while still capitalizing on the positive applications of this technology?

Christina Stathopoulos is an international data specialist who regularly serves as an executive advisor, consultant, educator, and public speaker. With expertise in analytics, data strategy, and data visualization, she has built a distinguished career in technology, including roles at Fortune 500 companies. Most recently, she spent over five years at Google and Waze, leading data strategy and driving cross-team projects. Her professional journey has spanned both the United States and Spain, where she has combined her passion for data, technology, and education to make data more accessible and impactful for all. Christina also plays a unique role as a “data translator,” helping to bridge the gap between business and technical teams to unlock the full value of data assets. She is the founder of Dare to Data, a consultancy created to formalize and structure her work with some of the world’s leading companies, supporting and empowering them in their data and AI journeys. Current and past clients include IBM, PepsiCo, PUMA, Shell, Whirlpool, Nitto, and Amazon Web Services.

In the episode, Richie and Christina explore the role of AI agents in data analysis, the evolving workflow with AI assistance, the importance of maintaining foundational skills, the integration of AI in data strategy, the significance of trustworthy AI, and much more.

Links Mentioned in the Show:

Dare to DataJulius AIConnect with ChristinaCourse - Introduction to SQL with AIRelated Episode: The Data to AI Journey with Gerrit Kazmaier, VP & GM of Data Analytics at Google CloudRewatch RADAR AI 

New to DataCamp?

Learn on the go using the DataCamp mobile app

Empower your business with world-class data and AI skills with DataCamp for business

#322 How Next-Gen Data Analytics Powers Your AI Strategy with Christina Stathopoulos, Founder at Dare to Data

Financial institutions are racing to harness the power of AI, but the path to implementation is filled with challenges. From feature engineering to model deployment, the technical complexities of AI adoption in finance require careful navigation of both technological and regulatory landscapes. How do you build AI systems that satisfy strict compliance requirements while still delivering business value? What skills should teams prioritize as AI tools become more accessible through natural language interfaces? With the pressure to reduce model development time from months to days, how can organizations maintain proper governance while still moving at the speed modern business demands?

Vijay is a seasoned analytics, product, and technology executive. As EVP of Global Solutions & Analytics at Experian, he runs the department that creates Experian's Ascend financial AI platform. Promoted multiple times in eight years, Vijay now leads a team of more than 70 at Experian. He is one of the youngest execs at Experian, believing strongly in understanding and accepting risk. He has built and run data, engineering, and IT teams, and created market-leading products.

In the episode, Richie and Vijay explore the impact of generative AI on the finance industry, the development of Experian's Ascend platform, the challenges of fraud prevention, education and compliance in AI deployment, and much more.

Links Mentioned in the Show:

ExperianExperian AscendConnect with VijayCourse: Implementing AI Solutions in BusinessRelated Episode: How Generative AI is Transforming Finance with Andrew Reiskind, CDO at MastercardRewatch RADAR AI 

New to DataCamp?

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#321 Developing Financial AI Products at Experian with Vijay Mehta, EVP of Global Solutions & Analytics at Experian

The manufacturing floor is undergoing a technological revolution with industrial AI at its center. From predictive maintenance to quality control, AI is transforming how products are designed, produced, and maintained. But implementing these technologies isn't just about installing sensors and software—it's about empowering your workforce to embrace new tools and processes. How do you overcome AI hesitancy among experienced workers? What skills should your team develop to make the most of these new capabilities? And with limited resources, how do you prioritize which AI applications will deliver the greatest impact for your specific manufacturing challenges? The answers might be simpler than you think.

Barbara Humpton is President and CEO of Siemens Corporation, responsible for strategy and engagement in Siemens’ largest market. Under her leadership, Siemens USA operates across all 50 states and Puerto Rico with 45,000 employees and generated $21.1 billion in revenue in fiscal year 2024. She champions the role of technology in expanding what’s humanly possible and is a strong advocate for workforce development, mentorship, and building sustainable work-life integration. Previously, she was President and CEO of Siemens Government Technologies, leading delivery of Siemens’ products and services to U.S. federal agencies. Before joining Siemens in 2011, she held senior roles at Booz Allen Hamilton and Lockheed Martin, where she oversaw programs in national security, biometrics, border protection, and critical infrastructure, including the FBI’s Next Generation Identification and TSA’s Transportation Workers’ Identification Credential.

Olympia Brikis is a seasoned technology and business leader with over a decade of experience in AI research. As the Technology and Engineering Director for Siemens' Industrial AI Research in the U.S., she leads AI strategy, technology roadmapping, and R&D for next-gen AI products. Olympia has a strong track record in developing Generative AI products that integrate industrial and digital ecosystems, driving real-world business impact. She is a recognized thought leader with numerous patents and peer-reviewed publications in AI for manufacturing, predictive analytics, and digital twins. Olympia actively engages with executives, policymakers, and AI practitioners on AI's role in enterprise strategy and workforce transformation. With a background in Computer Science from LMU Munich and an MBA from Wharton, she bridges AI research, product strategy, and enterprise adoption, mentoring the next generation of AI leaders.

In the episode, Richie, Barbara, and Olympia explore the transformative power of AI in manufacturing, from predictive maintenance to digital twins, the role of industrial AI in enhancing productivity, the importance of empowering workers with new technology, real-world applications, overcoming AI hesitancy, and much more.

Links Mentioned in the Show:

Siemens Industrial AI Suite • Connect with 
Barbara • and 
OlympiaCourse: Implementing AI Solutions in BusinessRelated Episode: Master Your Inner Game to Avoid Burnout with Klaus Kleinfeld, Former CEO at Alcoa and SiemensRewatch RADAR AI • where...

#320 The Next Industrial Revolution is Industrial AI | Barbara Humpton, CEO at Siemens USA and Olympia Brikis, Director of Industrial AI at Siemens USA

The line between human work and AI capabilities is blurring in today's business environment. AI agents are now handling autonomous tasks across customer support, data management, and sales prospecting with increasing sophistication. But how do you effectively integrate these agents into your existing workflows? What's the right approach to training and evaluating AI team members? With data quality being the foundation of successful AI implementation, how can you ensure your systems have the unified context they need while maintaining proper governance and privacy controls?

Karen Ng is the Head of Product at HubSpot, where she leads product strategy, design, and partnerships with the mission of helping millions of organizations grow better. Since joining in 2022, she has driven innovation across Smart CRM, Operations Hub, Breeze Intelligence, and the developer ecosystem, with a focus on unifying structured and unstructured data to make AI truly useful for businesses. Known for leading with clarity and “AI speed,” she pushes HubSpot to stay ahead of disruption and empower customers to thrive.

Previously, Karen held senior product leadership roles at Common Room, Google, and Microsoft. At Common Room, she built the product and data science teams from the ground up, while at Google she directed Android’s product frameworks like Jetpack and Jetpack Compose. During more than a decade at Microsoft, she helped shape the company’s .NET strategy and launched the Roslyn compiler platform. Recognized as a Product 50 Winner and recipient of the PM Award for Technical Strategist, she also advises and invests in high-growth technology companies.

In the episode, Richie and Karen explore the evolving role of AI agents in sales, marketing, and support, the distinction between chatbots, co-pilots, and autonomous agents, the importance of data quality and context, the concept of hybrid teams, the future of AI-driven business processes, and much more.

Links Mentioned in the Show:

Hubspot Breeze Agents • Connect with 
KarenWebinar: Pricing & Monetizing Your AI Products with Sam Lee, VP of Pricing Strategy & Product Operations at HubSpotRelated Episode: Enterprise AI Agents with Jun Qian, VP of Generative AI Services at OracleRewatch RADAR AI • 

New to DataCamp?

 • Learn on the go using the
 DataCamp mobile app • Empower your business with world-class data and AI skills with
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#319 Building & Managing Human+Agent Hybrid Teams with Karen Ng, Head of Product at HubSpot

The modern workplace often glorifies constant productivity and hustle culture, but at what cost? More professionals are burning out earlier in their careers, while elite athletes are extending their peak performance years. What can business leaders learn from high-performance sports about energy management and sustainable success? How do you distinguish between your 'inner game'—managing your energy and purpose—and your 'outer game' of business skills and execution? Could simple techniques like compartmentalization, breathing exercises, and finding deeper purpose transform your professional effectiveness? What if the key to avoiding burnout isn't working less, but working differently?

Dr. Klaus Kleinfeld is an international executive, investor, and entrepreneur. He is the Founder and CEO of K2Elevation, which develops and invests in technology and biotech ventures across Germany, Austria, and the U.S. He serves as Chairman of KONUX and FERNRIDE, sits on the supervisory boards of GreyOrange, Fero Labs, and NEOM, and is an Advisory Partner at EMH Partners. Previously, he was the first CEO of NEOM, where he remains on the board and advises the Kingdom of Saudi Arabia on economic development. Earlier in his career, Dr. Kleinfeld was Chairman and CEO of Alcoa/Arconic, leading the company through a major transformation and successful split, and spent two decades at Siemens, ultimately becoming CEO of Siemens AG. He has also served on numerous global boards and advisory councils, including the Brookings Institution, Council on Foreign Relations, and World Economic Forum, and advised U.S. Presidents and international leaders. Born in Bremen, Germany, he holds an MBA from the University of Göttingen, a PhD from the University of Würzburg, and dual U.S.-German citizenship.

In the episode, Richie and Klaus explore the causes of workplace burnout, the parallels between high-performing workers and athletes, the importance of managing energy and purpose, practical techniques for emotional and mental control, the role of downtime in productivity, and strategies for creating a supportive work culture, and much more.

Links Mentioned in the Show:

Klaus’ Book - Leading to Thrive • Connect with 
KlausCourse: Understanding Prompt EngineeringRelated Episode: Becoming Remarkable with Guy Kawasaki, Author and Chief Evangelist at CanvaRewatch RADAR AI • 

New to DataCamp?

 • Learn on the go using the
 DataCamp mobile app • Empower your business with world-class data and AI skills with
 DataCamp for business

#318 Master Your Inner Game to Avoid Burnout with Klaus Kleinfeld, Former CEO at Alcoa and Siemens

Welcome to DataFramed Industry Roundups! In this series of episodes, we sit down to discuss the latest and greatest in data & AI. 

In this episode, with special guest, DataCamp Editor Alex, we touch upon the launch of GPT-5, scaling limits in AI, Meta’s leaked chatbot guidelines, trust in AI tools from the Stack Overflow survey, why OpenAI and Anthropic are giving models away to the US government, AI safety concerns around reasoning, and much more.

Links Mentioned in the Show:

GPT-5 Is an Evolution, Not a RevolutionMeta’s AI rules have let bots hold ‘sensual’ chats with kids, offer false medical infoAI | 2025 Stack Overflow Developer SurveyOpenAI • , 
Anthropic • , both giving AI to federal workers for $1/agency

New to DataCamp?

 • Learn on the go using the
 DataCamp mobile app • Empower your business with world-class data and AI skills with
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Industry Roundup #6: GPT-5 Launch & Scaling Limits, Meta’s Chatbot Guidelines Leak, and AI Safety Concerns

In the retail industry, data science is not just about crunching numbers—it's about driving business impact through well-designed experiments. A-B testing in a physical store setting presents unique challenges that require careful planning and execution. How do you balance the need for statistical rigor with the practicalities of store operations? What role does data science play in ensuring that test results lead to actionable insights? 

Philipp Paraguya is the Chapter Lead for Data Science at Aldi DX. Previously, Philipp studied applied mathematics and computer science and has worked as a BI and advanced analytics consultant in various industries and projects since graduating. Due to his background as a software developer, he has a strong connection to classic software engineering and the sensible use of data science solutions.

In the episode, Adel and Philipp explore the intricacies of A-B testing in retail, the challenges of running experiments in brick-and-mortar settings, aligning stakeholders for successful experimentation, the evolving role of data scientists, the impact of genAI on data workflows, and much more.

Links Mentioned in the Show:

Aldi DX • Connect with 
PhilippCourse: Customer Analytics and A/B Testing in PythonRelated Episode: Can You Use AI-Driven Pricing Ethically? with Jose Mendoza, Academic Director & Clinical Associate Professor at NYUSign up to attend RADAR: Skills Edition

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#292 Offline A/B Testing: Experimentation in Brick and Mortar with Philipp Paraguya, Chapter Lead Data Science at ALDI DX

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