Data Chats Podcast
How Product Teams Should Tackle Responsible AI

How Product Teams Should Tackle Responsible AI

January 7, 2022

Guest host Michael Lithe founder and president of The Data Incubatorsits down with Aishwarya Srinivasan, an Artificial Intelligence and Machine Learning Innovation Leader at IBM. Aishwarya works cross-functionally with the product team, data science team and sales to research AI use cases for clients at IBM Data & AI. In her role, she conducts discovery workshops and builds assets to showcase the business value of the technology. Aishwarya holds a postgraduate degree in data science from Columbia University.

The two data science experts discuss the importance of building responsible AI systems that aren't harmful to society, citing examples in the media. Aishwarya shares the responsibilities of roles like AI ethicists, UX researchers, data scientists and cybersecurity officers in upholding responsible AI standards. She also highlights the key issues organizations will have to grapple with as AI continues to evolve, and she shares key takeaways for leveraging machine learning and AI to create business value. Find links to resources shared in this episode:

How to be Proactive in Implementing Data Standards

How to be Proactive in Implementing Data Standards

December 10, 2021

The opportunity is the data; the challenge is the data. Everyone agrees that data is incredibly important, but how do you convert data into a usable resource?

During this conversation, the host Chris Richardson, senior instructional designer at Pragmatic Institute, interviews Verl Allen, the CEO of Claravine, who explains the importance of implementing data standards to prevent data quality problems.

Successful data projects require an organization-wide buy-in, so Verl describes how to craft teams that can collaborate. He also talks about the future of data, specifically the role of privacy and what businesses can do to be proactive in staying

TDI Alumni Stories: Peter Yu

TDI Alumni Stories: Peter Yu

November 19, 2021

Get a behind the scenes look at how leading data scientists land their dream roles and how their journey can lead to unexpected but interesting outcomes. Our host and data science guru Michael Li chats with TDI alumni Peter Yu about his data path, what led him to data science and what he learned along the way from being a 2015 graduate to working for McKinsey & Company to landing his dream job at Amazon Web Services (AWS).

Women in Data: Eugenie Packer, Senior Director of Development Systems & Analytics at Mount Sinai

Women in Data: Eugenie Packer, Senior Director of Development Systems & Analytics at Mount Sinai

November 5, 2021
(This episode was recorded during our recent data chat webinar)

Pragmatic Institute, with The Data Incubator, is excited to announce our “Women in Data” series. Eugenie Packer is the Senior Director of Development Systems and Analytics at Mount Sinai Health Systems and a graduate student in statistics, as well as a Data Advisory Board member at Pragmatic Institute. 

She has designed, developed, implemented and overseen fundraising systems, business intelligence data products, and analytics platforms at organizations of all sizes. However, data wasn’t always her primary focus: Eugenie brings a background in the arts and a Master of Fine Arts to her work. 
In a conversation led by Pragmatic Institute Marketing Manager Erin Tibeau, learn about:

  • Eugenie’s experience at the intersection of data, information design and fine art
  • How she’s made transitions and overcome obstacles as a woman in STEM
  • What she’s learned in her career journey
  • Her advice for others following a non-traditional path who want to make an impact in data
Filling Skill Gaps Crucial to Success in Data Roles

Filling Skill Gaps Crucial to Success in Data Roles

October 22, 2021

Data Chats host Chris Richardson sits down with Ahmad Namini, a Business Analytics Professor at Brandeis University and data analytics instructor at The Data Incubator who has held leadership roles across the financial investment management industry. The two discuss key data roles and how to create a culture where data professionals can develop business knowledge and gain those "missing" skills that are crucial to success.

What Makes a TDI Fellow

What Makes a TDI Fellow

October 1, 2021

Join Sierra King, director of admissions for TDI and Robert Schroll, data scientist and instructor with TDI, as they discuss in depth some amazing tips and tricks for creation of the perfect capstone project and how and what it means to be part of the TDI fellowship. 

Data Storytelling: Ensure Your Insights Make an Impact

Data Storytelling: Ensure Your Insights Make an Impact

September 13, 2021

Welcome to the Pragmatic Live Data Chat, a podcast by Pragmatic Institute and The Data Incubator where our hosts tackle hot data science topics with data experts, industry leaders, alumni, and instructors.

In today's episode, learn how to craft and define a clear narrative around your data to contribute more strategically. Host Chris Richardson is joined by Christopher Laubenthal, a data and visualization consultant for Lockton Companies and information designer.

Beyond Recommendations: Content Data Science @ Netflix

Beyond Recommendations: Content Data Science @ Netflix

July 23, 2021

Join DS30 for our original discussion with Dr. Becky Tucker, senior machine learning scientist with Netflix, as she discusses how Netflix uses ML to predict what you may like to watch next and predict value. 

To Stay or Consult

To Stay or Consult

July 1, 2021

Field Cady, Data Scientist at Allen Institute for Artificial Intelligence (AI2).

Some data scientists work for one employer on a single large, long-lived project. Others function as consultants who move quickly between different projects, datasets, and even industries. Each of these paths can make for a rewarding career (or first job) in data science, but they have their own pros and cons. This podcast will compare the skills they teach and require, the best ways to approach problems, and the realities of the day-to-day work. 

Using Data to Make Sense of Local Politics

Using Data to Make Sense of Local Politics

June 4, 2021

On a national scale most of us have an understanding of the candidates that are running for office and even who we favor, but when the time has come to vote, many of us realize that there are many candidates for state positions we know nothing about.  One DS30 alumni decided to change that.

In this episode of DS30, our host, data science instructor Ana Hocevar is joined by Matt Sternke, TDI alumni and data scientist, to discuss his groundbreaking Capstone project and how it could assist citizens in better understanding local politics and make more informed decisions when voting.

How Machine Learning is Solving the Grid Challenge

How Machine Learning is Solving the Grid Challenge

May 14, 2021

We see more and more electric vehicles every day, but the question remains, how will this influx of electrical demand affect our current power grids?

In this episode of DS30, our host, data science instructor Ana Hocevar is joined by Rohith Desikan, a software/data engineer at Weave Grid, to discuss the intersection of machine learning and sustainability, specifically how Rohith's work contributes toward addressing how to prepare electrical grids for the incoming growth in the EV sector.

 

Navigating Your Career Transition out of Academia into Industry

Navigating Your Career Transition out of Academia into Industry

April 9, 2021

Join Christine Plitt, ‎Vice President of Operations & Educational Services, and TDI alumni, Newton Le and Andrew Graczyk as they discuss how one can navigate their career transition out of academia and into industry for data science.