DataFramed
DataCamp
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.
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.
Episodes
Mentioned books
Sep 6, 2021 • 56min
#70 Beyond the Language Wars: R & Python for the Modern Data Scientist
Rick Scavetta, a prolific data science educator and founder of Skaveta Academy, teams up with Boyan Angelov, a data strategist and author, to discuss their new book. They dive into the history of Python and R, advocating for a collaborative approach in data science. The duo explains how each language has unique strengths and benefits for different tasks. They emphasize the importance of being bilingual in these languages and share insights on how beginner and experienced data scientists can enhance their skill sets for modern challenges.
Aug 23, 2021 • 53min
#69 Effective Data Storytelling: How to Turn Insights into Action
Brent Dykes, Senior Director of Insights & Data Storytelling at Blast Analytics and author, dives into the art of data storytelling. He shares his journey and the reasons behind his book on the subject. Discover how empathy and understanding your audience can transform data into compelling narratives. Brent discusses the integration of visuals and narratives in decision-making and the importance of collaboration between data scientists and business teams. He also explores the future of data storytelling and its role in enhancing organizational data literacy.
Aug 9, 2021 • 46min
#68 The Future of Responsible AI
Maria Luciana Axente, Responsible AI and AI for Good Lead at PwC UK, discusses the intricate landscape of responsible AI. She highlights the differences between AI ethics and responsible AI, emphasizing the need for governance frameworks and accountability. The conversation touches on the ethical risks, particularly bias and discrimination, and the importance of aligning organizational culture with moral values. With practical insights, she advocates for a toolkit approach to implement responsible AI, empowering data scientists to play a vital role in the journey toward ethical AI.
Jul 26, 2021 • 36min
#67 Operationalizing Machine Learning with MLOps
Alessya Visnjic, CEO and co-founder of WhyLabs, brings her expertise from Amazon and the Allen Institute for AI to discuss MLOps. She tackles the unique challenges data teams face in operationalizing machine learning and explains the differences between MLOps, DataOps, ModelOps, and AIOps. Alessya emphasizes the importance of starting early in your MLOps journey and shares insights on fostering a strong data culture. She also introduces Ylogs, an open-source library aimed at standardizing data logging and enhancing AI reliability.
Jul 12, 2021 • 31min
#66 The Path to Building Data Cultures
Sudaman Thoppan Mohanchandralal, Regional Chief Data and Analytics Officer at Allianz Benelux, shares valuable insights on building data cultures. He highlights the evolving role of the Chief Data Officer and how organizations can strategically manage data as a critical asset. Sudaman discusses practical steps for operationalizing data initiatives, emphasizing the importance of executive data literacy. He also explores the intersections of data literacy and collaboration, revealing how fostering a data-driven culture can unlock significant value for organizations.
Jun 28, 2021 • 53min
#65 Preventing Fraud in eCommerce with Data Science
Elad Cohen, VP of Data Science and Research at Riskified, shares insights on leveraging data science for fraud detection in eCommerce. He discusses his fascinating transition from physics to data, emphasizing the impact of machine learning in real-time fraud prevention. The conversation covers best practices for building effective detection systems and the vital collaboration between data scientists and engineers. Elad highlights the importance of data-driven decisions and staying updated with new technologies to foster success in this rapidly evolving field.
Jun 14, 2021 • 44min
#64 Creating Trust in Data with Data Observabilty
Barr Moses, CEO and co-founder of Monte Carlo, shares her insights on creating trust in data. She discusses the critical role of data quality and observability in organizations, emphasizing how these elements foster a data-driven culture. Barr delves into the evolution of data organizations, outlining the significance of comprehensive data management and the need for cultural shifts. The conversation also highlights data meshes as solutions to bottlenecks, and the important role of metadata in driving business outcomes.
May 31, 2021 • 1h 7min
#63 The Past and Present of Data Science
In this discussion, Sergey Fogelson, VP of Data Science and Modeling at ViacomCBS, shares insights from his extensive career. He highlights the dramatic evolution of data science over the last decade, transitioning from outdated systems to modern frameworks. Sergey addresses the ongoing challenges, notably the need for organizational support and effective communication for data initiatives. He underscores the importance of democratizing data access, teaching tools like SQL, and fostering a culture of continuous learning among data professionals.
May 17, 2021 • 53min
#62 From Predictions to Decisions
Dan Becker, CEO of decision.ai and founder of Kaggle Learn, shares insights on bridging decision sciences with machine learning. He discusses his journey from Kaggle competitions to real-world applications, emphasizing the importance of empathy in aligning AI with business goals. Dan highlights challenges in integrating decision AI into climate change projects and the necessity of ongoing monitoring for model accuracy. He advocates for data scientists to communicate effectively with leadership to ensure their work resonates with business priorities.
May 3, 2021 • 45min
#61 Creating Smart Cities with Data Science
Amen Ra Mashariki, principal scientist at Nvidia and former Chief Analytics Officer of New York City, shares his insights on leveraging data science for smarter urban living. He discusses the balance between data utility and privacy, and how cities can adapt proactively to challenges like tenant harassment. He highlights the vital need for data literacy in government and the responsibilities of data leaders to drive innovation. With anecdotes around the use of data during crises like Hurricane Sandy, Amen emphasizes collaboration and ethical standards in urban analytics.
