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DataFramed

DataCamp

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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 organizat ...
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IBM thinkLeaders

IBM thinkLeaders

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thinkLeaders tells the stories behind AI and business transformation through engaging interviews with top entrepreneurs, technologists, and researchers at the forefront of disruption. Join host Amanda Thurston as she and her guests offer insights and advice on strategic, data-driven leadership, and innovation. It is a deep dive into emerging technologies that unpacks and explains the issues, having some fun along the way. Brought to you by IBM. This channel is managed by Serena Peters and Am ...
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A podcast about data innovation, regulations and data privacy. We will bring you exciting and inspiring stories from the frontiers of data and privacy management. Think AI, fairness, privacy-compliance, synthetic data, data literacy, and more. Hosted by Alexandra Ebert, MOSTLY AI's Chief Trust Officer. If you have any suggestions or questions, send a voice recording or an email to [email protected]!
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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 …
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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…
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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 prio…
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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 …
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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 the…
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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 …
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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…
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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 stak…
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The integration of AI into everyday business operations raises questions about the future of work and human agency. With AI's potential to automate and optimize, how do we ensure that it complements rather than competes with human capabilities? What measures can be taken to prevent AI from overshadowing human input and creativity? How do we strike …
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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? …
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The integration of speech AI into everyday business operations is reshaping how we communicate and process information. With applications ranging from customer service to quality control, understanding the nuances of speech AI is crucial for professionals. How do you tackle the complexities of different languages and accents? What are the best prac…
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The rise of AI tools has democratized access to technology, but with it comes the responsibility to use these tools ethically. How do organizations ensure their employees are not only aware of AI's capabilities but also its risks? What does it mean to have a responsible AI strategy that is both comprehensive and adaptable to future advancements? As…
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The rise of A-B testing has transformed decision-making in tech, yet its application isn't without challenges. As professionals, how do you navigate the balance between short-term gains and long-term sustainability? What strategies can you employ to ensure your testing methods enhance rather than hinder user experience? And how do you effectively c…
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Generative AI has transformed the financial services sector, sparking interest at all organizational levels. As AI becomes more accessible, professionals are exploring its potential to enhance their work. How can AI tools improve personalization and fraud detection? What efficiencies can be gained in product development and internal processes? Thes…
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As businesses collect more data than ever, the question arises: is bigger always better? Companies are beginning to question whether massive datasets and complex infrastructures are truly delivering results or just adding unnecessary costs. How can you align your data strategy with your actual needs? Could focusing on smaller, more manageable datas…
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With AI agents and GPU acceleration at the forefront, data science is entering a new era of efficiency and innovation. How are AI copilots transforming the way data scientists code and solve problems? Are they a reliable partner or a source of new complexities? On the other hand, the move to GPU-accelerated data science tools is revolutionizing mod…
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AI democratization sounds great in theory, but why do so many enterprises struggle to make it work? In this episode, Ari Kaplan, Head of Tech Evangelism at Databricks, breaks down the biggest roadblocks to scaling AI—and what’s needed to overcome them. From data intelligence and synthetic data to why leading enterprises rely on unified data and ana…
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Dashboards are everywhere in the data industry, but are they being used effectively? Many professionals find themselves creating dashboards that end up underutilized or misunderstood. The key is not just in the data presented, but in how it's communicated and used. How can you rethink your approach to dashboarding to ensure it aligns with business …
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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 discuss the rise of reasoning LLMs like DeepSeek R1 and the competition shaping the AI space, OpenAI’s Operator and the broader push for AI agents to control computers, and the implications…
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Optimization and decision intelligence are reshaping industries, from logistics to finance. But what does this mean for professionals navigating daily challenges? Whether you're scheduling employees or managing power grids, finding the optimal solution can mean the difference between success and failure. How do you leverage optimization to make sma…
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Thought leadership is more than just a buzzword—it's a strategic tool that can significantly influence business decisions and relationships. But what makes thought leadership effective? How do you ensure your insights are not only heard but also trusted and acted upon? What role does generative AI play in enhancing the storytelling process, and how…
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As the software landscape becomes more fragmented, the importance of product integrations continues to rise. For those working in data and engineering roles, this presents both challenges and opportunities. How do you efficiently manage and scale integrations across diverse systems? What tools and strategies can help you maintain data integrity and…
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As AI continues to dominate industry conversations, the notion of AI readiness becomes a focal point for organizations. It's a multifaceted challenge that goes beyond technology, encompassing business processes and cultural shifts. For professionals, this means grappling with questions like: How do you choose the right AI projects that align with b…
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The rise of AI agents in the workplace is transforming how businesses operate, tackling repetitive tasks and freeing up human employees for more creative endeavors. But what does this mean for the future of work, and how can professionals leverage these tools effectively? As AI agents become more sophisticated, capable of reasoning and decision-mak…
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Personalization is more than a buzzword—it's a powerful tool for businesses to connect with customers on a deeper level. As data and AI technologies evolve, the ability to deliver personalized experiences becomes more accessible. But what does this mean for professionals tasked with implementing these strategies? How do you ensure that personalizat…
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As multimodal AI continues to grow, professionals are exploring new skills to harness its potential. From understanding real-time APIs to navigating new application architectures, the landscape is shifting. How can developers stay ahead in this evolving field? What opportunities do AI agents present for automating tasks and enhancing productivity? …
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