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
5 snips
Aug 1, 2022 • 52min
#98 Interpretable Machine Learning
Serg Masis, a Climate & Agronomic Data Scientist at Syngenta and author of "Interpretable Machine Learning with Python," dives deep into the challenges of machine learning interpretability. He discusses the ethical ramifications of data bias, sharing insights into technical and non-technical solutions to address these issues. Serg highlights the real-world implications of misapplied AI, like in a home valuation case study. Plus, he sheds light on SHAP values and their role in understanding model predictions, advocating for fairness and transparency in AI.
Jul 25, 2022 • 45min
#97 How Salesforce Created a High-Impact Data Science Organization
Anjali Samani, Director of Data Science & Data Intelligence at Salesforce, joins the show to discuss what it takes to become a mature data organization and how to build an impactful, diverse data team. As a data leader with over 15 years of experience, Anjali is an expert at assessing and deriving maximum value out of data, implementing long-term and short-term strategies that directly enable positive business outcomes, and how you can do the same.
You will learn the hallmarks of a mature data organization, how to measure ROI on data initiatives, how Salesforce implements its data science function, and how you can utilize strong relationships to develop trust with internal stakeholders and your data team.
14 snips
Jul 18, 2022 • 1h 4min
#96 GPT-3 and our AI-Powered Future
Sandra Kublik and Shubham Saboo, both authors and experts in AI and NLP, dive deep into the revolutionary world of GPT-3. They discuss its unique capabilities and transformative impact on sectors like education and creative writing. The conversation covers the ethical challenges posed by AI, including misinformation and biases, and emphasizes the importance of effective communication for optimal interaction with the model. They also explore the future of NLP, touching on the personalized experiences possible in the metaverse.
Jul 11, 2022 • 40min
#95 How to Build a Data Science Team from Scratch
Elettra Damaggio, Director for Global Data Science at StoneX, shares her extensive experience in building data science teams from scratch. She highlights the importance of balancing short-term wins with long-term vision and the critical role of communication in earning stakeholder trust. Elettra discusses challenges faced when launching data science functions, strategies for hiring, and how to leverage pilot projects to gain traction. She also touches on the transformative role of data science in navigating financial uncertainties and enhancing marketing strategies.
Jul 4, 2022 • 40min
#94 How Data Science Enables Better Decisions at Merck
Suman Giri, the Global Head of Data Science at Merck's Human Health Division, leads innovative data-driven initiatives in pharmaceuticals. He discusses how Merck is leveraging data science to enhance decision-making, improve medical research outcomes, and tackle major industry challenges. The conversation highlights advancements in drug development, automated manufacturing, and the evolving role of data talent. Suman also delves into future trends including AI, blockchain, and the necessity for ethical frameworks to optimize healthcare outcomes.
Jun 27, 2022 • 38min
#93 How Data Science Drives Value for Finance Teams
Brian Richardi, Head of Finance Data Science and Analytics at Stryker, brings over 14 years of experience merging finance and data science. He shares insights on how finance teams are evolving into data-driven leaders, emphasizing the importance of collaboration and self-service analytics. Brian discusses the essential technical skills finance professionals need, like SQL and data visualization, to drive efficiency. He also touches on future trends, the necessity for transparency in data initiatives, and the importance of building strong partnerships within teams.
Jun 20, 2022 • 44min
#92 Democratizing Data in Large Enterprises
Meenal Iyer, Sr. Director for Data Science and Experimentation at Tailored Brands, brings over 20 years of experience in data analytics and democratization. She discusses the complexities of fostering a data-driven culture in large enterprises. Meenal emphasizes the importance of reducing data silos and enhancing data literacy. She shares insights on evolving data leadership and balancing short-term wins with long-term strategies. Her practical advice includes leveraging simple data projects to drive engagement and ensuring user-friendly data interfaces that prioritize governance.
Jun 13, 2022 • 38min
#91 Building a Holistic Data Science Function at New York Life Insurance
Glenn Hofmann, Chief Analytics Officer at New York Life Insurance, shares his extensive experience in building a robust data science function. He discusses the intricacies of team dynamics and how to offer diverse career paths for data scientists. Glenn dives into the crucial role of MLOps in insurance, enhancing model management and compliance. He also emphasizes the importance of fostering a strong data culture through effective communication and strategic stakeholder engagement, all while navigating the unique challenges of the life insurance industry.
Jun 6, 2022 • 36min
#90 How Data Science is Transforming the Healthcare Industry
Curren Katz, Senior Director for Data Science & Project Management at Johnson & Johnson, brings over a decade of experience in leveraging data science to transform healthcare. She discusses the challenges of handling sensitive patient information and the promise of AI in improving patient care quality. Curren emphasizes the need for collaboration in large organizations and balancing long-term research with short-term wins. She also explores how data science can streamline pharmaceutical R&D, while advocating for fairness to combat algorithmic biases in healthcare.
4 snips
Jun 2, 2022 • 40min
[DataFramed Careers Series #4]: Acing the Data Science Interview
Jay Feng, co-founder of Interview Query, shares his insights on acing data science interviews. He discusses the anatomy of these interviews, revealing common misconceptions and critical mistakes candidates make. The importance of showcasing communication skills and business acumen is highlighted, suggesting that technical know-how alone isn't enough. Jay also covers strategies for negotiating salaries, emphasizing the value of knowing your worth, and shares tips for new data professionals to make an impactful start in their careers.
