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DataFramed

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DataFramed
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  • Industry Roundup #6: GPT-5 Launch & Scaling Limits, Meta’s Chatbot Guidelines Leak, and AI Safety Concerns
    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/agencyNew to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
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  • #317 How to Reengineer Your Business Processes with Nelson Repenning, Distinguished Professor at MIT Sloan & Don Kieffer, Senior Lecturer in Operations Management at MIT Sloan
    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 improvements in both output and job satisfaction?Nelson P. Repenning is the Faculty Director of the MIT Leadership Center and the School of Management Distinguished Professor of System Dynamics and Organization Studies at the MIT Sloan School of Management. His early work focused on understanding the inability of organizations to leverage well-established tools and practices. He has worked extensively with organizations trying to develop new capabilities in both manufacturing and new product development. Nelson has also studied the failure to use the safety practices that often lead to industrial accidents and has helped investigate several major incidents. This line of research has been recognized with several awards, including best paper recognition from both the California Management Review and the Journal of Product Innovation Management. Building on his earlier work, Nelson now focuses on developing the theory and practice of Dynamic Work Design—a new approach to designing work that is both effective and engaging—and Dynamic Management Systems, a method for ensuring that day-to-day work is tightly linked to the strategic objectives of the firm. His book (co-authored with Don Kieffer) There Has Got to Be a Better Way describing Dynamic Work Design will be published by Public Affairs in 2025. He is also a partner at ShiftGear Work Design and serves as its chief social scientist. In 2003, Nelson received the International System Dynamics Society’s Jay Wright Forrester Award, which recognizes the best work in the field in the previous five years. In 2011 he received the Jamieson Prize for Excellence in Teaching. He was recently recognized by Poets and Quants as one of the country's top instructors in executive education.Donald Kieffer is a Senior Lecturer in Operations Management at MIT Sloan.He is a career operations executive and co-creator of Dynamic Work Design. Kieffer started working running equipment in factories at age 17. He was VP of operational excellence at Harley-Davidson where he worked for 15 years. Since 2007, he has been advising executive teams around the globe in a range of areas including strategy deployment, product development, and operational improvement. Don has worked with industries as diverse as oil/gas, medical, biomedical, and banking. His guidance was instrumental in transforming both the production and technical development areas of a Cambridge-based genomic sequencing organization, now an industry leader, using the techniques of Dynamic Work Design. He is founder of ShiftGear Work Design, LLC and also teaches Operations Management at AVT in Copenhagen.In the episode, Richie, Nelson and Don explore the challenges of daily firefighting at work, the principles of dynamic work design, how to improve productivity by addressing real problems, the role of AI in business, the importance of setting clear priorities, and much more.Links Mentioned in the Show:Nelson & Don’s Book - There's Got to Be a Better Way: How to Deliver Results and Get Rid of the Stuff That Gets in the Way of Real WorkConnect with Nelson & Don
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  • #316 Enterprise AI Agents with Jun Qian, VP of Generative AI Services at Oracle
    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 computing challenges must we solve to ensure these technologies enhance rather than complicate our lives?Jun Qian is an accomplished technology leader with extensive experience in artificial intelligence and machine learning. Currently serving as Vice President of Generative AI Services at Oracle since May 2020, Jun founded and leads the Engineering and Science group, focusing on the creation and enhancement of Generative AI services and AI Agents. Previously held roles include Vice President of AI Science and Development at Oracle, Head of AI and Machine Learning at Sift, and Principal Group Engineering Manager at Microsoft, where Jun co-founded Microsoft Power Virtual Agents. Jun's career also includes significant contributions as the Founding Manager of Amazon Machine Learning at AWS and as a Principal Investigator at Verizon.In the episode, Richie and Jun explore the evolution of AI agents, the unique features of ChatGPT, the challenges and advancements in chatbot technology, the importance of data management and security in AI, and the future of AI in computing and robotics, and much more.Links Mentioned in the Show:OracleConnect with JunCourse: Introduction to AI AgentsJun at DataCamp RADARRelated Episode: A Framework for GenAI App and Agent Development with Jerry Liu, CEO at LlamaIndexRewatch RADAR AI New to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
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  • #315 DataFramed x Alter Everything: Future-Proofing Your Career in AI and Data Analytics | Richie & Megan Bowers
    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 toward ensuring data quality and building reliable pipelines. But where does the human fit in this increasingly automated landscape, and how can you position yourself to thrive amid these transformations?Megan Bowers is Senior Content Manager, Digital Customer Success at Alteryx, where she develops resources for the Maveryx Community. She writes technical blogs and hosts the Alter Everything podcast, spotlighting best practices from data professionals across the industry.Before joining Alteryx, Megan worked as a data analyst at Stanley Black & Decker, where she led ETL and dashboarding projects and trained teams on Alteryx and Power BI. Her transition into data began after earning a degree in Industrial Engineering and completing a data science bootcamp. Today, she focuses on creating accessible, high-impact content that helps data practitioners grow. Her favorite topics include switching career paths after college, building a professional brand on LinkedIn, writing technical blogs people actually want to read, and best practices in Alteryx, data visualization, and data storytelling.Presented by Alteryx, Alter Everything serves as a podcast dedicated to the culture of data science and analytics, showcasing insights from industry specialists. Covering a range of subjects from the use of machine learning to various analytics career trajectories, and all that lies between, Alter Everything stands as a celebration of the critical role of data literacy in a data-driven world.In the episode, Richie and Megan explore the impact of AI on job functions, the rise of AI agents in business, and the importance of domain knowledge and process analytics in data roles. They also discuss strategies for staying updated in the fast-paced world of AI and data science, and much more.Links Mentioned in the Show:Alter EverythingConnect with MeganSkill Track: Alteryx FundamentalsRelated Episode: Scaling Enterprise Analytics with Libby Duane Adams, Chief Advocacy Officer and Co-Founder of AlteryxRewatch RADAR AI New to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
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  • #314 How to Have a Career in Data Science in 2025 with Dawn Choo, Data Careers Influencer, Co-Founder at Interview Master
    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 right balance between traditional data science techniques and new AI capabilities? And as roles like analytics engineer and machine learning engineer emerge, how do you position yourself for success in this rapidly changing field?Dawn Choo is the Co-Founder of Interview Master, a platform designed to streamline technical interview preparation. With a foundation in data science, financial analysis, and product strategy, she brings a cross-disciplinary lens to building data-driven tools that improve hiring outcomes. Her career spans roles at leading tech firms, including ClassDojo, Patreon, and Instagram, where she delivered insights to support product development and user engagement.Earlier, Dawn held analytical and engineering positions at Amazon and Bank of America, focusing on business intelligence, financial modeling, and risk analysis. She began her career at Facebook as a marketing analyst and continues to be a visible figure in the data science community—offering practical guidance to job seekers navigating technical interviews and career transitions.In the episode, Richie and Dawn explore the evolving role of data scientists in the age of AI, the impact of generative AI on workflows, the importance of foundational skills, and the nuances of the hiring process in data science. They also discuss the integration of AI in products and the future of personalized AI models, and much more.Links Mentioned in the Show:Interview MasterConnect with DawnDawn’s Newsletter: Ask Data DawnGet Certified: AI Engineer for Data Scientists Associate CertificationRelated Episode: How To Get Hired As A Data Or AI Engineer with Deepak Goyal, CEO & Founder at Azurelib AcademyRewatch RADAR AI New to DataCamp?Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business
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About 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 data & AI, there's something here for everyone. Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.
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