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Wall Street, AI, and Data Science: The Future of Financial Innovation with Kristen McGarry IBM Technical Sales Leader {Replay}

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Manage episode 470925889 series 2715252
Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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Innovating on Wall Street: Kristen McGarry on Data, AI, and Technical Sales

🎧 Tune in for an insider’s look at the technical strategies shaping the future of finance.

Kristen McGarry, Principal Account Technical Lead for IBM’s Financial Services Market, returns to Making Data Simple to dive deeper into the intersection of technology and Wall Street. Based in NYC, Kristen works with the world’s largest financial institutions to drive innovation, accelerate time to value, and implement cutting-edge solutions across software, hardware, and services.

In this episode, we break down the realities of technical sales, the evolving role of data science in finance, and what Wall Street is getting right (or wrong) about AI. Kristen also shares key insights on the challenges of working with financial giants and predictions for the future of tech in banking.

Episode Highlights:
📍 02:57 – An Intro to Kristen McGarry
📍 04:36 – Why IBM?
📍 09:25 – The Attraction of Data Science
📍 11:51 – A Day in the Life of an Account Technical Leader
📍 13:30 – Technical Sales versus Sales
📍 15:05 – Continuing to Innovate
📍 19:09 – Dealing with Wall Street
📍 20:17 – The Methodology
📍 22:23 – The How of Technical Sales
📍 23:05 – Continuous Learning
📍 28:03 – Management System
📍 30:34 – Wall Street Learnings
📍 32:20 – Biggest Challenge
📍 33:08 – The Data Challenge
📍 34:22 – Best Data Science Use Cases in Finance
📍 36:14 – What Do Clients Miss on AI?
📍 38:09 – Predictions

LinkedIn: https://www.linkedin.com/in/kristen-mcgarry/

Website: https://www.ibm.com/

#MakingDataSimple #DataScience #AIinFinance #TechSales #WallStreet #IBM #Innovation #FinancialServices #Leadership #ContinuousLearning #AI

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

344 episodes

Artwork
iconShare
 
Manage episode 470925889 series 2715252
Content provided by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by IBM Big Data & Analytics Hub, IBM Big Data, and Analytics Hub or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Send us a text

Innovating on Wall Street: Kristen McGarry on Data, AI, and Technical Sales

🎧 Tune in for an insider’s look at the technical strategies shaping the future of finance.

Kristen McGarry, Principal Account Technical Lead for IBM’s Financial Services Market, returns to Making Data Simple to dive deeper into the intersection of technology and Wall Street. Based in NYC, Kristen works with the world’s largest financial institutions to drive innovation, accelerate time to value, and implement cutting-edge solutions across software, hardware, and services.

In this episode, we break down the realities of technical sales, the evolving role of data science in finance, and what Wall Street is getting right (or wrong) about AI. Kristen also shares key insights on the challenges of working with financial giants and predictions for the future of tech in banking.

Episode Highlights:
📍 02:57 – An Intro to Kristen McGarry
📍 04:36 – Why IBM?
📍 09:25 – The Attraction of Data Science
📍 11:51 – A Day in the Life of an Account Technical Leader
📍 13:30 – Technical Sales versus Sales
📍 15:05 – Continuing to Innovate
📍 19:09 – Dealing with Wall Street
📍 20:17 – The Methodology
📍 22:23 – The How of Technical Sales
📍 23:05 – Continuous Learning
📍 28:03 – Management System
📍 30:34 – Wall Street Learnings
📍 32:20 – Biggest Challenge
📍 33:08 – The Data Challenge
📍 34:22 – Best Data Science Use Cases in Finance
📍 36:14 – What Do Clients Miss on AI?
📍 38:09 – Predictions

LinkedIn: https://www.linkedin.com/in/kristen-mcgarry/

Website: https://www.ibm.com/

#MakingDataSimple #DataScience #AIinFinance #TechSales #WallStreet #IBM #Innovation #FinancialServices #Leadership #ContinuousLearning #AI

Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

  continue reading

344 episodes

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