talk-data.com talk-data.com

Filter by Source

Select conferences and events

People (2 results)

Showing 2 results

Activities & events

Title & Speakers Event
Event Making Data Simple 2024-02-21
Suj Perepa – Distinguished Engineer; specializes AI, machine learning technology in the financial sector; lead for security programs; member of IBM Academy of Technology leadership team @ IBM , Rachel Reinitz – Distinguished Engineer @ IBM , Darrell Reimer – Distinguished Engineer @ IBM , Al Martin – WW VP Technical Sales @ IBM

Send us a text A Data Science level set in 2024.  This episode is a live recording that talks to  Distinguished Engineers at IBM from Client Engineering, Finance, and  Research with Rachel Reinitz, Suj Perepa, and "Beware of simple questions" Darrell Reimer, respectively.  Pardon just a bit of sound quality issues. 

00:16 The Field of Data Science00:50 Meet Rachel, Suj, and Darrell03:37 What is Data Science Today?07:00 Data Science Skills10:25 How has Data Science Changed12:07 A Day in the Life14:25 AI Engineers?23:45 Fake News and Cost30:36 What's Next?33:27 Too Much GenAI?36:49 Low Barrier Risks39:29 Deep Science vs Deep Business42:17 For Fun LinkedIn: linkedin.com/in/rreinitz, https://www.linkedin.com/in/sperepa/ linkedin.com/in/darrellreimer

Website: https://www.ibm.com/products/watsonx-ai/foundation-models

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. 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.

AI/ML Data Science GenAI IBM
Suj Perepa – Distinguished Engineer; specializes AI, machine learning technology in the financial sector; lead for security programs; member of IBM Academy of Technology leadership team @ IBM , Richard Darden – Distinguished Engineer in digital human evangelism for North America government; Distinguished Engineer at IBM in Cloud and Cognitive for the public sector; former chief architect on federal government agencies @ IBM , Al Martin – WW VP Technical Sales @ IBM

Send us a text 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.

Abstract Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Suj Perepa and Richard Darden. Suj is a distinguished engineer and specializes AI, machine learning technology in the financial sector.  Suj also has been a lead for security programs and a member of the IBM Academy of Technology leadership team. Richard is a distinguished engineer in digital human evangelism for North America government and a distinguished engineer at IBM in Cloud and Cognitive for the public sector and a former chief architect on federal government agencies.  

Show Notes 6:30 – What is a data framework? 9:16 – What is framework? 11:00 – Governance and people 14:15 – Process and architecture 19:15 – Bringing it all into a playbook   22:56 – Who is the client? 24:36 – How does bias play into it? 27:02 – What products are you using? 27:54 – Explainability 30:44 – Ethics of AI 37:13 Suj and Richard’s most important lessons in AI The Discipline of Technology    Connect with the Team Producer Kate Brown - LinkedIn. Producer Steve Templeton - LinkedIn. Host Al Martin - LinkedIn and Twitter.  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.

AI/ML Big Data Cloud Computing IBM Cyber Security
Showing 2 results