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PODCAST

DataFramed

Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you"re a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses

technology

All Episodes

48:03

#323 The Evolution of Data Literacy & AI Literacy...

DataFramed ·

2025/09/25

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

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47:54

#322 How Next-Gen Data Analytics Powers Your AI...

DataFramed ·

2025/09/22

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

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49:28

#321 Developing Financial AI Products at Experian...

DataFramed ·

2025/09/15

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

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44:23

#320 The Next Industrial Revolution is Industrial AI...

DataFramed ·

2025/09/08

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

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44:31

#319 Building & Managing Human+Agent Hybrid Teams...

DataFramed ·

2025/09/03

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

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01:03:04

#318 Master Your Inner Game to Avoid Burnout with...

DataFramed ·

2025/09/01

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

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44:14

Industry Roundup #6: GPT-5 Launch & Scaling Limits,...

DataFramed ·

2025/08/28

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,

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01:06:57

#317 How to Reengineer Your Business Processes with...

DataFramed ·

2025/08/25

Every day, knowledge workers face the challenge of managing competing priorities and constant interruptions. When systems are managing us rather than us managing them, productivity suffers and morale plummets. But what if the key to improvement isn't complex reorganization but rather understanding how work actually flows through your team or organization? How can visualizing your workflow and regulating for flow transform productivity? What small, incremental changes might lead to dramatic

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56:36

#316 Enterprise AI Agents with Jun Qian, VP of...

DataFramed ·

2025/08/18

Combining LLMs with enterprise knowledge bases is creating powerful new agents that can transform business operations. These systems are dramatically improving on traditional chatbots by understanding context, following conversations naturally, and accessing up-to-date information. But how do you effectively manage the knowledge that powers these agents? What governance structures need to be in place before deployment? And as we look toward a future with physical AI and robotics, what fundamental

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41:05

#315 DataFramed x Alter Everything: Future-Proofing...

DataFramed ·

2025/08/13

The relationship between AI and data professionals is evolving rapidly, creating both opportunities and challenges. As companies embrace AI-first strategies and experiment with AI agents, the skills needed to thrive in data roles are fundamentally changing. Is coding knowledge still essential when AI can generate code for you? How important is domain expertise when automated tools can handle technical tasks? With data engineering and analytics engineering gaining prominence, the focus is shifting

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47:04

#314 How to Have a Career in Data Science in 2025...

DataFramed ·

2025/08/11

Data science continues to evolve in the age of AI, but is it still the 'sexiest job of the 21st century'? While generative AI has transformed the landscape, it hasn't replaced data scientists—instead, it's created more demand for their skills. Data professionals now incorporate AI into their workflows to boost efficiency, analyze data faster, and communicate insights more effectively. But with these technological advances come questions: How should you adapt your skills to stay relevant? What's the

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51:05

#313 Developing Better Predictive Models with Graph...

DataFramed ·

2025/08/04

The structured data that powers business decisions is more complex than the sequences processed by traditional AI models. Enterprise databases with their interconnected tables of customers, products, and transactions form intricate graphs that contain valuable predictive signals. But how can we effectively extract insights from these complex relationships without extensive manual feature engineering?Graph transformers are revolutionizing this space by treating databases as networks and learning

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49:05

#312 Can we Create an AI Doctor? with Aldo Faisal,...

DataFramed ·

2025/07/28

Healthcare AI is rapidly evolving beyond simple diagnostic tools to comprehensive systems that can analyze and predict patient outcomes. With the rise of multimodal AI models that can process everything from medical images to patient records and genetic information, we're entering an era where AI could fundamentally transform how healthcare decisions are made. But how do we ensure these systems maintain patient privacy while still leveraging vast amounts of medical data? What are the technical

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57:27

#311 The Human Element of AI-Driven Transformation...

DataFramed ·

2025/07/21

The relationship between humans and AI in the workplace is rapidly evolving beyond simple automation. As companies deploy thousands of AI agents to handle everything from expense approvals to customer success management, a new paradigm is emerging—one where humans become orchestrators rather than operators. But how do you determine which processes should be handled by AI and which require human judgment? What governance structures need to be in place before deploying AI at scale? With the potential

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47:19

#310 The State of BI in 2025 with Howard Dresner,...

DataFramed ·

2025/07/14

Business intelligence has been transforming organizations for decades, yet many companies still struggle with widespread adoption. With less than 40% of employees in most organizations having access to BI tools, there's a significant 'information underclass' making decisions without data-driven insights. How can businesses bridge this gap and achieve true information democracy? While new technologies like generative AI and semantic layers offer promising solutions, the fundamentals of data quality

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01:17:02

#309 What Science Fiction Can Tell Us About the...

DataFramed ·

2025/07/08

Technology and human consciousness are converging in ways that challenge our fundamental understanding of creativity and connection. As AI systems become increasingly sophisticated at mimicking human thought patterns, we're entering uncharted territory where machines don't just assist creative work—they actively participate in it. But what does this mean for the future of human creativity and our relationship with technology? How do we maintain meaningful human connections in a world where emotional

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53:02

Industry Roundup #5: AI Agents Hype vs. Reality,...

DataFramed ·

2025/07/03

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 COO Martijn, we touch upon the hype and reality of AI agents in business, the McKinsey vs. Ethan Mollick debate on simple vs. complex agents, Meta's $15B stake in Scale AI and what it means for data and talent, Apple’s rumored $20B bid for Perplexity amid AI struggles, EU’s push to treat AI skills like reading and math, the

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52:21

#308 A Framework for GenAI App and Agent Development...

DataFramed ·

2025/06/30

The enterprise adoption of AI agents is accelerating, but significant challenges remain in making them truly reliable and effective. While coding assistants and customer service agents are already delivering value, more complex document-based workflows require sophisticated architectures and data processing capabilities. How do you design agent systems that can handle the complexity of enterprise documents with their tables, charts, and unstructured information? What's the right balance between

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48:29

#307 Human Guardrails in Generative AI with Wendy...

DataFramed ·

2025/06/23

The line between generic AI capabilities and truly transformative business applications often comes down to one thing: your data. While foundation models provide impressive general intelligence, they lack the specialized knowledge needed for domain-specific tasks that drive real business value. But how do you effectively bridge this gap? What's the difference between simply fine-tuning models versus using techniques like retrieval-augmented generation? And with constantly evolving models and

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01:01:51

#306 The Next Generation of Business Intelligence...

DataFramed ·

2025/06/16

The modern data stack has transformed how organizations work with data, but are our BI tools keeping pace with these changes? As data schemas become increasingly fluid and analysis needs range from quick explorations to production-grade reporting, traditional approaches are being challenged. How can we create analytics experiences that accommodate both casual spreadsheet users and technical data modelers? With semantic layers becoming crucial for AI integration and data governance growing in

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148 results

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