AI Loves Data Podcast

In this episode, Anna Anisin, Founder of Data Science Salon, and Tyler Carmody, Head of Event Operations, catch up on everything we missed over the past few weeks. They dive into exciting developments in AI, including how it’s transforming scientific research, solving complex problems, and revolutionizing business tools. They also discuss predictions for 2025—what trends we expect to see in AI, LL...

In this DSS Podcast we chat with Matthew Denesuk, SVP of Data Analytics & AI at Royal Caribbean Group. Matthew shares his insights on leveraging a Center of Excellence model to drive data-driven strategies across the organization. Tune in to discover how this approach can transform enterprise business processes using AI, analytics, and data science! We’re also excited to welcome Jaime Russ, former...

In this DSS Podcast, Anna Anisin welcomes Serg Masís, Climate and Agronomic Data Scientist at Syngenta. Serg, an expert in machine learning interpretability and responsible AI, shares his diverse background and journey into data science. He discusses the challenges of building fair and reliable ML models, emphasizing the importance of interpretability and trust in AI. Serg also talks into his late...

In this week's DSSPodcast, Anna had a conversation with Boshika Tara, Technical Machine Learning Product Manager at H&M Group. Boshika brings over 7 years of experience in technical product development, engineering, and building large-scale ML systems in NLP and Computer Vision. In this episode, she dives into the critical issue of bias in AI, discussing various types of biases in machine learning...

In this episode of the DSS Podcast, Anna Anisin introduces two powerhouse guests in the realms of AI and robotics. First, Anna welcomes Alex, Principal Algorithms/AI Engineer at Elbit Systems of America, based in Miami. Alex shares her journey into the field of AI, particularly computer vision, and discusses common use cases, pitfalls, and success stories in sourcing and improving data for compute...

In this episode of the Data Science Salon Podcast, host Anna Anisin sits down with two leading experts in the ML/AI healthcare industry. First, Sumayah Rahman, Director of Data Science - Machine Learning and Infrastructure at Cedar, discusses optimizing the patient experience to make healthcare more affordable and accessible. She explains how ML-powered discounts can benefit both patients and prov...

In this episode, Anna sits down with two leaders in the finance industry, exploring the forefront of AI and ML innovations. First, we have Mabu Manaileng, Lead Data Scientist at Standard Bank Group. Mabu shares his journey and current role, highlights the challenges of applied data science in the financial sector, and discusses the transformative impact of AI on banking in the coming years. Next,...

In this episode, Anna sits down with two leaders in the finance industry, exploring the forefront of AI, ML, and ESG innovations. First, let's welcome Laura Gabrysiak, Data Science Leader at Visa. Laura develops statistical models and decision analytics tools that enable Visa clients to transform massive amounts of data into actionable ML models and AI implementations. She's also passionate about...

In this episode, Anna sits down with two distinguished leaders in the ML/AI finance industry. First, we have Harry Mendell, Technology Group Data Architect at the Federal Reserve Bank of New York, who brings over 30 years of expertise in FinTech. Harry shares compelling stories and discusses emerging trends in the finance sector. Following Harry, Supreet Kaur, AVP at Morgan Stanley and product own...

Ben Dubow studied the Middle East during his undergrad and took a job tracking terrorist groups.  After a brief stint at a large tech company, he launched Omelas, a company that combines AI and subject matter expertise to deliver intelligence to national security professionals. In today's episode, our Senior Content Advisor Q McCallum caught up with Ben to learn more about what Omelas is up to and...

If you've been in the data game long enough, you've probably seen this before: a stakeholder or product owner approaches you with a project that's 95% done, and they'd like you to … "sprinkle some AI on it."  They've heard that this "AI" thing can be useful so they want some of it in their latest effort. Data scientist-turned-product person Noelle Saldana has experienced the "sprinkle some AI on i...

Sometimes the most valuable data IN your company ... is the data LEAVING your company. That's Solomon Kahn 's view on data products, as well as the premise behind his latest venture: Delivery Layer .For this episode, our Senior Content Advisor Q McCallum reached out to Solomon to check in on the new startup, and to tap his expertise in the world of data products. Solomon's been at this a while.  H...

In this episode, James and Q explore: The ideas of risk and uncertainty. What is "probabilistic thinking" and why is it important for data scientists? The career progression of a data analyst, and what it means to develop statistical acumen. Thinking in terms of distributions, and thinking in different moments of a distribution. Seeing BI, AI, and simulation in terms of punctuation.  (No, seriousl...

We've all heard the term "economist," sure. But exactly what does and economist do? And as economics is a very data-driven field, where does their work intersect with data science, machine learning, and AI? To answer that question, Senior Content Advisor Q McCallum spoke with Amar Natt, PhD . She's an economist at Econ One Research, and her work focuses on advanced analytics and predictive modelin...

When people think about The Home Depot, they probably think more about lumber and tile than they do ML models.  Sure, there is plenty of lumber.  But machine learning also plays a key role in the business, in places that customers can see as well as the behind-the-scenes operations. Senior Content Advisor Q McCallum met up with Pat Woowong , Director of Data Science at The Home Depot, to explore h...

This episode is a coffee chat recording from DSS Virtual in May 2022. Charles Irizarry (Phygital) and Ankita Mangal (P&G) share in war stories of ML use cases they use in retail and eCommerce scenarios, brokering data, and protecting the important principles of data ethics and privacy. Ankita shares the digital transformation journey that P&G undertook, her growth together with P&G, and some of th...

A lot of data scientists work in the private sector: finance, adtech, retail, and all that.  Today's guest offers her perspective on what it means to do data work in the federal space. In this conversation, our Senior Content Advisor Q McCallum spoke with Dr. Pragyansmita Nayak , Chief Data Scientist at Hitachi Vantara Federal .  They explored how different federal agencies use data and how they s...

In this episode, our Senior Content Advisor Q McCallum met up with Murium Iqbal from Etsy. They spoke about an important skill for data scientists: software development! Data scientists write a lot of code, sure, but few of them come from a formal software dev background. That can lead them to struggle with slow, buggy code that ultimately holds back the company's ML efforts. Want to write cleaner...

This episode is a recording of the panel conversation at the virtual Data Science Salon in April 2022, which focused on AI & machine learning applications in the enterprise. Charles Irizarry (CEO & Co-Founder at Strata.ai) had the chance to talk to Amarita Natt (Managing Director, Data Science at Econ One Research), Preethi Raghavan (VP, Data Science Practice Lead at Fidelity Investments) and Serg...

Charles Irizarry, CEO & Co-Founder at Strata.ai had the chance to talk to Nirmal Budhathoki, Senior Data Scientist at VMware Carbon Black and Moody Hadi, Group Manager - New Product Development & Financial Engineering at S&P Global. Tune in to hear about ML techniques they are using in their current roles, tools to put ML into production, model explainability, and future trends. Writer and Host: A...

In the previous episode, our Senior Content Advisor  Q McCallum  met with product manager  Chris Butler  to explore the role of uncertainty and how it relates to AI product management.  That conversation sets the stage for Chris and Q to talk about communal computing today. Chris starts by explaining what shared, AI-backed devices mean for data collection, analysis, and regulation. After that, Chr...

Formulated.by’s Senior Content Advisor,  Q McCallum , caught up with Linda Liu (Hyrecar) and Giacomo Vianello (Cape Analytics).  Our guests explored the techniques and tools for the various data projects they are running, some of the challenges of working with geospatial data, and how their companies approach data-related research efforts. Writer and Host: Anna Anisin Produced, edited, and mixed b...

This discussion also explores the context around which we collect data, polysocial reality, design individualism, and contextual integrity.  (Yes, we covered a lot of ground in just 45 minutes.) Because of our tight schedule, Chris and Q had to stop before they could get to their second topic.  That’s why Chris will be back in the next episode to talk about communal computing and what that means f...

Formulated.by’s Senior Content Advisor,  Q McCallum , caught up with Vidhi Chugh (Walmart), Piyanka Jain (Aryng), and Tempest van Schaik (Microsoft).  Our guests explored the impact of the Covid-19 pandemic on hiring and retention, then shifted to a discussion on finding and serving as a mentor. Writer and Host: Anna Anisin Produced, edited, and mixed by the Formulatedby Team

Formulatedby's Senior Content Advisor, Q McCallum , met up with Sonali Syngal to explore these questions.  Sonali is currently a data scientist at MasterCard and is about to join the team at Expedia.  She came to data science from the rather uncommon entry point of economics. In this episode we see that her career path has given her key insights on how to join this field and what are the differenc...