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Ritika talks about her roles at IBM and AI and services for clients.
Publisher |
IBM
Media Type |
audio
Categories Via RSS |
Business
Entrepreneurship
Technology
Publication Date |
Aug 12, 2020
Episode Duration |
00:44:04

Want to be featured as a guest on Making Data Simple? Reach out to us at [almartintalksdata@gmail.com] and tell us why you should be next. Abstract

Hosted by Al Martin, VP, Data and AI Expert Services and Learning at IBM, 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 Ritika Gunnar. Ritika is currently VP, Data and AI Expert Labs Services and Learning and has worked with IBM in various roles within development, support and technical sales. She started her career developing and supporting systems management warehousing and reporting solutions. She worked in various development projects across IBMs brands to create appliances and solutions for clients cloud and virtualization needs. Ritika also managed Tivoli’s world-wide technical sales teams driving solution selling within the portfolio and increasing overall revenue and client satisfaction for the brand.

 Show Notes2:41 – Ritika discusses her background

6:07 – Ritika’s current role

9:09 – Successes of Data and AI

15:21 - Important things to company’s around AI

21:39 – What do you see as great principals of a service business 

25:56 – Ritika’s proudest moment at IBM

29:20 – How much time do you spend working with clients?

Ritika Gunnar – LinkedIn and Twitter

  Connect with the TeamProducer 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 almartintalksdata@gmail.com 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.

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