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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

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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42:42

#305 RAG 2.0 and The New Era of RAG Agents with Douwe...

DataFramed ·

2025/06/09

Retrieval Augmented Generation (RAG) continues to be a foundational approach in AI despite claims of its demise. While some marketing narratives suggest RAG is being replaced by fine-tuning or long context windows, these technologies are actually complementary rather than competitive. But how do you build a truly effective RAG system that delivers accurate results in high-stakes environments? What separates a basic RAG implementation from an enterprise-grade solution that can handle complex queries

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01:06:46

#304 Accelerating Data Science with Nick Becker,...

DataFramed ·

2025/06/02

GPU acceleration is transforming how data scientists tackle computationally intensive problems in the AI and materials science fields. When dealing with billions of potential molecular combinations or massive datasets requiring dimensionality reduction, traditional CPU approaches often become prohibitively slow and expensive. How can data professionals determine when GPU acceleration will provide meaningful benefits to their workflows? Understanding the right applications for this technology can

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51:23

#303 Increasing Your Organization's AI Maturity with...

DataFramed ·

2025/05/26

AI maturity isn't achieved through technology alone—it requires organizational alignment, cultural readiness, and strategic implementation. Companies across industries are working to move beyond experimental AI use toward systematic integration that delivers measurable business value. How do you assess where your organization stands on the AI maturity spectrum? What frameworks can help prioritize your efforts?Eryn Peters, Co-founder & co-creator at AI Maturity Index, is a future of work

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45:19

#302 Making AI Applications like Greased Lightning...

DataFramed ·

2025/05/19

AI tooling continues to expand with specialized solutions for every step of the development process. For data scientists and engineers, this creates a paradox: more options but potentially more complexity and integration challenges. How do you determine which tools actually improve productivity versus adding unnecessary overhead? Should you prioritize flexibility with individual best-of-breed components or streamline with integrated platforms? What's the most effective way to bridge the gap between

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46:18

#301 What the Like Button Tells You About Your...

DataFramed ·

2025/05/13

The like button has transformed how we interact online, becoming a cornerstone of digital engagement with over 7 billion clicks daily. What started as a simple user interface solution has evolved into a powerful data collection tool that companies use to understand customer preferences, predict trends, and build sophisticated recommendation systems. The data behind these interactions forms what experts call the 'like graph' - a valuable network of connections that might be one of your company's most

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44:14

Industry Roundup #4: O3 & O4-mini, LLama 4’s Rocky...

DataFramed ·

2025/05/08

Welcome to DataFramed Industry Roundups! In this series of episodes, Adel & Richie sit down to discuss the latest and greatest in data & AI. In this episode, we touch upon the launch of OpenAI’s O3 and O4-mini models, Meta’s rocky release of Llama 4, Google’s new agent tooling ecosystem, the growing arms race in AI, the latest from the Stanford AI Index report, the plausibility of AGI and superintelligence, how agents might evolve in the enterprise, global attitudes toward AI, and a deep

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01:00:15

#300 End to End AI Application Development with...

DataFramed ·

2025/05/05

The roles within AI engineering are as diverse as the challenges they tackle. From integrating models into larger systems to ensuring data quality, the day-to-day work of AI professionals is anything but routine. How do you navigate the complexities of deploying AI applications? What are the key steps from prototype to production? For those looking to refine their processes, understanding the full lifecycle of AI development is essential. Let's delve into the intricacies of AI engineering and the

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46:53

#299 From Panic to Profit, Via Data with Bill Canady,...

DataFramed ·

2025/04/28

Data-driven turnarounds are transforming how struggling businesses find their path back to profitability. When companies falter, the key to recovery can often lies in understanding which 20% of customers and products generate 80% of profits. But how do you quickly identify these critical assets when time is running out? What metrics should you prioritize when cash flow is tight? For data professionals, the challenge extends beyond analysis to implementation—balancing the need for automation of

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48:34

#298 Data Storytelling Skills to Increase Your Impact...

DataFramed ·

2025/04/21

We live in an era where data is abundant, yet making sense of it is harder than ever. The best insights often go unnoticed—not because they lack value, but because they lack a compelling story. Simply presenting numbers isn’t enough; the way we shape and frame data determines whether it sparks action or fades into the background. Crafting a strong data story means knowing your audience, structuring your insights around a clear problem, goal, action, and impact, and ensuring your narrative is not

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01:05:16

#297 The Past and Future of Language Models with...

DataFramed ·

2025/04/14

Misconceptions about AI's capabilities and the role of data are everywhere. Many believe AI is a singular, all-knowing entity, when in reality, it's a collection of algorithms producing intelligence-like outputs. Navigating and understanding the history and evolution of AI, from its origins to today's advanced language models is crucial. How do these developments, and misconceptions, impact your daily work? Are you leveraging the right tools for your needs, or are you caught up in the allure of

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42:42

#296 How YPulse Built an AI Application for Market...

DataFramed ·

2025/04/07

The explosion of content in market research has created a paradox - more information but less time to consume it. Companies are now turning to AI chatbots to solve this problem, transforming how professionals interact with research data. Instead of expecting teams to read everything, these tools allow users to extract precisely what they need when they need it. This approach is proving not just more efficient but actually increases engagement with underlying content. How might your organization

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51:49

#295 How To Get Hired As A Data Or AI Engineer with...

DataFramed ·

2025/03/31

The role of data and AI engineers is more critical than ever. With organizations collecting massive amounts of data, the challenge lies in building efficient data infrastructures that can support AI systems and deliver actionable insights. But what does it take to become a successful data or AI engineer? How do you navigate the complex landscape of data tools and technologies? And what are the key skills and strategies needed to excel in this field?Deepak Goyal is a globally recognized authority in

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57:30

#294 Six Skills Data Professionals Need To Succeed...

DataFramed ·

2025/03/27

As data professionals, mastering the technical aspects of AI and data is only half the battle. The real challenge lies in effectively communicating insights to drive action and influence decisions. How do you ensure your data stories resonate with diverse audiences? It's not just about the numbers—it's about crafting a narrative that speaks to stakeholders. What strategies can you employ to make your insights not only heard but impactful?Abhijit Bhaduri advises organizations on talent and leadership

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