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How AI Enhances Human Collaboration and Drives Innovation with Nishit Sahay of Marvell Technology

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Manage episode 440762502 series 3482550
Content provided by Nandi Ngubentombi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nandi Ngubentombi 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.

On today’s episode, we welcome Nishit Sahay, Chief Information Officer of Marvell Technology. Nishit discusses the role of data in shaping business strategies, particularly in high-stakes areas. He explains how Marvell navigates the complexities of an unstable global supply chain while developing cutting-edge semiconductor solutions. Nishit also emphasizes the importance of collaboration between technology and people, asserting that one should not replace the other.

Key Takeaways:

(00:43) Marvell’s semiconductors power many AI applications and 5G technologies.

(06:31) Data-driven transformations come from integrated ecosystems and business processes.

(07:51) Data ecosystems support faster, more informed decision-making.

(10:00) The importance of a company’s collaborative culture and clean processes.

(14:19) Global factors like geopolitical tensions and shifts in silicon demand impact Marvell's supply chain.

(18:07) Building and feeding AI systems.

(23:35) Technology doesn’t replace people; it enhances their productivity.

(27:00) Nishit’s career advice: Ask for help and foster collaboration.

Resources Mentioned:

Nishit Sahay -

https://www.linkedin.com/in/nishit-sahay-8143641/

Marvell Technology | LinkedIn -

https://www.linkedin.com/company/marvell/

Marvell website -

https://www.marvell.com/

Thanks for listening to the Data Masters Podcast. If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataStrategy #DataMastersPodcast

  continue reading

44 episodes

Artwork
iconShare
 
Manage episode 440762502 series 3482550
Content provided by Nandi Ngubentombi. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nandi Ngubentombi 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.

On today’s episode, we welcome Nishit Sahay, Chief Information Officer of Marvell Technology. Nishit discusses the role of data in shaping business strategies, particularly in high-stakes areas. He explains how Marvell navigates the complexities of an unstable global supply chain while developing cutting-edge semiconductor solutions. Nishit also emphasizes the importance of collaboration between technology and people, asserting that one should not replace the other.

Key Takeaways:

(00:43) Marvell’s semiconductors power many AI applications and 5G technologies.

(06:31) Data-driven transformations come from integrated ecosystems and business processes.

(07:51) Data ecosystems support faster, more informed decision-making.

(10:00) The importance of a company’s collaborative culture and clean processes.

(14:19) Global factors like geopolitical tensions and shifts in silicon demand impact Marvell's supply chain.

(18:07) Building and feeding AI systems.

(23:35) Technology doesn’t replace people; it enhances their productivity.

(27:00) Nishit’s career advice: Ask for help and foster collaboration.

Resources Mentioned:

Nishit Sahay -

https://www.linkedin.com/in/nishit-sahay-8143641/

Marvell Technology | LinkedIn -

https://www.linkedin.com/company/marvell/

Marvell website -

https://www.marvell.com/

Thanks for listening to the Data Masters Podcast. If you enjoyed this episode, be sure to subscribe so you never miss our latest discussions and insights into the ever-changing world of data.

#DataStrategy #DataManagement #DataStrategy #DataMastersPodcast

  continue reading

44 episodes

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