Many machine learning practitioners dedicate most of their attention to creating and deploying models that solve business problems. However, what happens post-deployment? And how should data teams go about monitoring models in production? Hakim Elakhrass is the Co-Founder and CEO of NannyML , an open-source python library that allows users to estimate post-deployment model performance, detect data drift, and link data drift alerts back to model performance changes. Originally, Hakim started a ma...
Aug 08, 2022•34 min•Transcript available on Metacast One of the biggest challenges facing the adoption of machine learning and AI in Data Science is understanding, interpreting, and explaining models and their outcomes to produce higher certainty, accountability, and fairness. Serg Masis is a Climate & Agronomic Data Scientist at Syngenta and the author of the book, Interpretable Machine Learning with Python . For the last two decades, Serg has been at the confluence of the internet, application development, and analytics. Serg is a true polym...
Aug 01, 2022•51 min•Transcript available on Metacast 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 ...
Jul 25, 2022•44 min•Transcript available on Metacast In 2020, OpenAI launched GPT-3, a large language AI model that is demonstrating the potential to radically change how we interact with software, and open up a completely new paradigm for cognitive software applications. Today’s episode features Sandra Kublik and Shubham Saboo, authors of GPT-3: Building Innovative NLP Products Using Large Language Models . We discuss what makes GPT-3 unique, transformative use-cases it has ushered in, the technology powering GPT-3, its risks and limitations, whe...
Jul 18, 2022•1 hr 4 min•Transcript available on Metacast While leading a mature data science function is a challenge in its own right, building one from scratch at an organization can be just as, if not even more, difficult. As a data leader, you need to balance short-term goals with a long-term vision, translate technical expertise into business value, and develop strong communication skills and an internalized understanding of a business's values and goals in order to earn trust with key stakeholders and build the right team. Elettra Damaggio is no ...
Jul 11, 2022•39 min•Transcript available on Metacast In pharmaceuticals, wrong decisions can not only cost a company revenue, but they can also cost people their lives. With stakes so high, it’s vital that pharmaceutical companies have robust systems and processes in place to accurately gather, analyze, and interpret data and turn it into actionable steps to solving health issues. Suman Giri is the Global Head of Data Science of the Human Health Division at Merck, a biopharmaceutical research company that works to develop innovative health solutio...
Jul 04, 2022•40 min•Ep 94•Transcript available on Metacast Building data science functions has become tables takes for many organizations today. However, before data science functions were needed, the finance function acted as the insights layer for many organizations over the past. This means that working in finance has become an effective entry point into data science function for professionals across all spectrums. Brian Richardi is the Head of Finance Data Science and Analytics at Stryker , a medical equipment manufacturing company based in Michigan...
Jun 27, 2022•37 min•Ep 93•Transcript available on Metacast Democratizing data, and developing data culture in large enterprise organizations is an incredibly complex process that can seem overwhelming if you don’t know where to start. And today’s guest draws a clear path towards becoming data-driven. Meenal Iyer , Sr. Director for Data Science and Experimentation at Tailored Brands, Inc. , has over 20 years of experience as a Data and Analytics strategist. She has built several data and analytics platforms and drives the enterprises she works with to be...
Jun 20, 2022•43 min•Ep 92•Transcript available on Metacast When many people talk about leading effective Data Science teams in large organizations, it’s easy for them to forget how much effort, intentionality, vision, and leadership are involved in the process. Glenn Hofmann , Chief Analytics Officer at New York Life Insurance , is no stranger to that work. With over 20 years of global leadership experience in data, analytics, and AI that spans the US, Germany, and South Africa, Glenn knows firsthand what it takes to build an effective data science func...
Jun 13, 2022•38 min•Ep 91•Transcript available on Metacast The healthcare industry presents a set of unique challenges for data science, including how to manage and work with sensitive patient information and accounting for the real-world impact of AI and machine learning on patient care and experience. Curren Katz , Senior Director for Data Science & Project Management at Johnson & Johnson , believes that despite challenges like these, there are massive opportunities for data science and machine learning to increase care quality, drive business...
Jun 06, 2022•36 min•Transcript available on Metacast Today marks the last episode of our four-part DataFramed Careers Series on breaking into a data career. We’ve heard from Sadie St Lawrence, Nick Singh, and Khuyen Tran on best practices to adopt to help you land a data science interview. But what about the interview itself? Today’s guest, Jay Feng , joins the show to break down all the most important things you need to know about interviewing for data science roles. Jay is the co-founder of Interview Query , which helps data scientists, machine ...
Jun 02, 2022•39 min•Ep 90•Transcript available on Metacast Today is the third episode of this four-part DataFramed Careers series being published every day this week on building a career in data. We’ve heard from Nick Singh on the importance of portfolio projects, as well as the distinction between content-based and coding-based portfolio projects. When looking to get started with content-based projects, how do you move forward with getting yourself out there and sharing the work despite being a relative beginner in the field?Today’s guest tackles exact...
Jun 01, 2022•31 min•Transcript available on Metacast Today marks the second episode in our DataFramed Careers Series. In this series, we will interview a diverse range of thought leaders and experts on the different aspects of landing a data role in 2022. In the first episode of the series, Sadie discussed at great length the importance of having a solid data science portfolio to land a role in data. But what makes a great data science portfolio? Nick Singh, co-author of Acing the Data Science Interview , joins the show to share everything you nee...
May 31, 2022•51 min•Transcript available on Metacast Today is the start of a four-day careers series covering breaking into data science in 2022. With so so much demand for data jobs today, we wanted to demystify the ins and outs of accelerating a career in data. In this series, we will interview a diverse range of thought leaders and experts on the different aspects of standing out from the crowd in the job hunt. Our first guest in the DataFramed Careers Series is Sadie St. Lawrence . Sadie St Lawrence is the Founder and CEO of Women in Data, the...
May 30, 2022•40 min•Transcript available on Metacast Introducing the DataFramed Careers Series. Over the past year hosting the DataFramed podcast, we've had the incredible privilege of having biweekly conversations with data leaders at the forefront of the data revolution. This has led to fascinating conversations on the future of the modern data stack, the future of data skills, and how to build organizational data literacy. However, as the DataFramed podcast grows, we want to be able to provide the data science community across the spectrum from...
May 27, 2022•2 min•Transcript available on Metacast Data literacy at any organization takes buy-in from all levels of the company, from C-suite leaders all the way to customer-facing team members. But how do you get that buy-in, build a team around data literacy, and transform the way your company works with data? Today’s guest, Megan Brown , Director of Data Literacy and Knowledge Management at Starbucks , discusses what they have done to forge data culture and data literacy at Starbucks. Throughout the episode, we discuss How to increase data l...
May 16, 2022•35 min•Ep 85•Transcript available on Metacast Diversity in both skillset and experience are at the core of high-impact data teams, but how can you take your data team’s impact to the next level with subject matter expertise, attention to user experience, and mentorship? Today’s guest, Dan Kellet , Chief Data Officer at Capital One UK, joins us to discuss how he scaled Capital One’s data team. Throughout the episode, we discuss: The hallmarks of a high-impact data team The importance of skills and background diversity when building great dat...
May 02, 2022•35 min•Ep 84•Transcript available on Metacast As data volumes grow and become ever-more complex, the role of the data analyst has never been more important. At the disposal of the modern data analyst, are tools that reduce time to insight, and increase collaboration. However, as the tools of a data analyst evolve, so do the skills. Today’s guest, Peter Fishman , Co-Founder at Mozart Data , speaks to this exact notion. Join us as we discuss: Defining a data-driven organization & main challenges Breaking down the modern data stack & w...
Apr 17, 2022•36 min•Ep 83•Transcript available on Metacast When you hear the term-digital first, you might think about tech, platforms and data. But digital transformation succeeds when you put people first. Gathering and analyzing data, then using it to provide the customer value and an unparalleled experience, is vital for an organization’s success. Today’s guest, Bhavin Patel , Director o f Analytics and Innovation at J&J joins the show to share why people are the most important component to digital transformation. Join us as we discuss: Why you ...
Apr 03, 2022•45 min•Ep 82•Transcript available on Metacast The data journey is a slow painstaking process. But knowing where to start and the areas to focus on can help any organization reach its goals faster. Today’s guest, Vijay Yadav , Director of Quantitative Sciences & Head of Data Science at the Center for Mathematical Sciences at Merck , explains the 6 key elements of data strategy, complete with advice on how to navigate each. Join us as we discuss: The different components of a data strategy Shifting mindset within the C-Suite Structuring t...
Mar 21, 2022•49 min•Ep 81•Transcript available on Metacast It’s no secret that data science jobs are on the rise; but data skills across the board are rising — leading to what today’s guest calls “hybrid jobs.” This will require a paradigm shift in how we think about jobs and skills. Today’s guest, Matt Sigelman , President of The Burning Glass Institute & Chairman of Emsi Burning Glass , talks about the difficulties of connecting companies with top talent, the hybridization of many positions, and how to position yourself in the ever-changing market...
Mar 07, 2022•43 min•Ep 80•Transcript available on Metacast Throughout the middle east, efforts are underway to build smart cities from the ground up. But to create a modern, intelligently-designed city, you first need to lay a solid foundation. And the strongest foundation you can build a smart city upon is data. In today’s episode, we speak with Kaveh Vessali , Digital, Data & AI Leader, PwC Middle East , about the intersection between data and public policy and the many exciting insights he’s gained from his role delivering smart cities and data t...
Feb 21, 2022•48 min•Ep 79•Transcript available on Metacast When most people hear digital transformation, it’s almost always the technology that first springs to mind. That’s a mistake. You can have the most sophisticated tech stack in the world, but if you don't build your organization’s data culture, your digital transformation efforts will be for naught. Today’s guest, Mai AlOwaish , Chief Data Officer at Gulf Bank, knows this better than anyone. As the first female CDO in Kuwait, she’s on a mission to ensure everyone at Gulf Bank becomes an expert in...
Feb 07, 2022•36 min•Transcript available on Metacast As we enter the new year—it seems like we’re telescoping into the future of work. Companies embracing remote work, the great resignation putting pressure on teams to create more fulfilling roles—signals an expanding opportunity for applicants to find their dream roles in data science, but also for hiring managers to create awesome candidate experiences. Today’s guests, Nick Singh , and Kevin Huo , authors of Ace The Data Science Interview , discuss how aspiring data scientists and data scientist...
Jan 24, 2022•57 min•Transcript available on Metacast In this episode of DataFramed, we speak with Vishnu V Ram, VP of Data Science and Engineering at Credit Karma about how data science is being leveraged to increase financial inclusion. Throughout the episode, Vishnu discusses his background, Credit Karma’s mission, how data science is being used at Credit Karma to lower the barrier to entry for financial products, how he managed a data team through rapid growth, transitioning to Google Cloud, exciting trends in data science, and more. Relevant l...
Nov 29, 2021•52 min•Transcript available on Metacast In this episode of DataFramed, we speak with Andy Cotgreave, Technical Evangelist at Tableau about the role of data storytelling when driving change with analytics, and the importance of the analyst role within a data-driven organization. Throughout the episode, Andy discusses his background, the skills every analyst should know to equip organizations with better data-driven decision making, his best practices for data storytelling, how he thinks about data literacy and ways to spread it within ...
Nov 15, 2021•51 min•Transcript available on Metacast In this episode of DataFramed, we speak with Brian Campbell, Engineering Manager at Lucid Software about managing data science projects effectively and harnessing the power of collaboration. Throughout the episode, Brian discusses his background, how data leaders can become better collaborators, data science project management best practices, the type of collaborators data teams should seek out, the latest innovations in the data engineering tooling space, and more. Relevant links from the inter...
Nov 01, 2021•34 min•Transcript available on Metacast In this episode of DataFramed, we speak with Shameek Kundu, former group CDO at Standard Chartered Bank, and Chief Strategy Officer & Head of Financial Services at TruEra Inc about Scaling AI Adoption throughout financial services. Throughout the episode, Shameek discusses his background, the state of data transformation in financial services, the depth vs breadth of machine learning operationalization in financial services today, the challenges standing in the way of scalable AI adoption in...
Oct 18, 2021•1 hr 1 min•Transcript available on Metacast In this episode of DataFramed, we speak with Syafri Bahar, VP of Data Science at Gojek about building high-performing data teams, and how data science is central to Gojek’s success. Throughout the episode, Syafri discusses his background, the hallmarks of a high-performance data team, how he measures the ROI on data activities, the skills needed in every successful data team, what is the best organizational model for data mature organizations, how Covid-19 affected Gojek’s data teams, his though...
Oct 04, 2021•51 min•Transcript available on Metacast In this episode of DataFramed, we speak with Noah Gift, founder of Pragmatic AI Labs and prolific author about operationalizing machine learning in organizations and his new book Practical MLOPs. Throughout the episode, Noah discusses his background, his philosophy around pragmatic AI, the differences between data science in academia and the real world, how data scientists can become more action-oriented by creating solutions that solve real-world problems, the importance of dev-ops, his most re...
Sep 20, 2021•50 min•Transcript available on Metacast 
