Technical Deep Dive: IBM DSE Industry Accelerators + Palantir: DSE Presents Chat with the Lab webina

When:  Sep 23, 2021 from 12:00 PM to 01:00 PM (ET)

Technical Deep Dive: IBM DSE Industry Accelerators + Palantir: DSE Presents Chat with the Lab

Thu, Sep 23, 2021 12:00 PM EDT




Learn about the impact of IBM's partnership with Palantir can have on your business. Integrating Cloud Pak for Data (CPD) with Palantir provides easy low-code, no-code UI and business operation solutions infused with AI. Join us for a technical deep dive into the latest releases of Palantir-integrated Accelerators on Cloud Pak for Data: Staffing Optimization, Claims Leakage, and SME Lending. Data Science experts show how easy it is to work with CPD and Palantir to address the most pressing pain points of your business.

SPEAKERS


Ainesh Pandey
Senior Data Scientist, IBM Data Science and AI Elite

Ainesh is a Senior Data Scientist on IBM’s Data Science and AI Elite team. Ainesh holds Bachelor's degrees in Computer Science and Business Data Analytics, and he has a Master’s in data science related subjects from Carnegie Mellon University. He has been an individual contributor as well as led engagements with the DSE for over three years, with a focus on forecasting and ML models for various manufacturing, retail, marketing, finance, telecommunications, and government clients.




Ravi Govindan
Data Science Engineer, IBM Data Science and AI Elite

Ravi is a Senior Data Scientist on the IBM Data Science and AI Elite Team. Ravi holds Master’s degrees in Electrical Engineering and has over 23 years of experience in advising businesses on technology, architecting, data science and transforming concepts into viable business solutions for global companies. He is recognized for his strength in integrating cross-functional applications and technologies built on cloud infrastructure, bigdata, data models and analysis, tools and processes. He’s been an individual contributor as well as led engagements on the DSE for over three years, with a focus on ML models for various energy, telecommunications, and government clients.