Sign up to save your podcasts
Or
Share In conversation with Dr. Manish Gupta, Global Data Science Leader @ Microsoft | Ep 13
Share to email
Share to Facebook
Share to X
Share to email
Share to Facebook
Share to X
Or
In conversation with Dr. Manish Gupta, Global Data Science Leader @ Microsoft | Ep 13
The key to being a good data scientist is to behave like a child – stay curious and willing to learn. Use this approach to continuously improve in the four areas (i) good domain knowledge (ii) foundation in maths & analytics (iii) comfort with tech /programming (iv) business empathetic communication skills, and success is guaranteed - Excerpt from the Expert Talks interview with Dr. Manish Gupta.
Today is Episode 13 of the Interview series on Expert-Talks @ MAAVRUS, with Leaders in the Analytics, AI and Transformation space. For this episode, our CEO Mahadevann Iyerr (Mahaa) is in conversation with Dr Manish Gupta, Global Data Science leader at Microsoft. Prior to Microsoft, he was Vice President and CoE Head – Machine Learning & Data Science Research at American Express. He has also held Analytics leadership roles at InfoEdge and Citibank. He is a PhD in Mathematics from IIT Delhi.
We are sure you will learn greatly by listening to Dr. Manish Gupta. A few key points from the interview :
The basic difference in analytics solutions between digital and physical businesses is the volume and velocity of data. Digital companies have a higher appreciation of data and have a data-first mindset since it is core to their survival. They need to leverage the data for impacting customer experience and retaining them.
For traditional companies data and AI can provide a competitive edge. The early adopters, build a data culture quickly so that they can stay ahead.
For building a culture of data and AI, business leaders need to have trust in analytics as an engine for growth. And it has to be reciprocated by the analytics team by developing impactful solutions & articulating the ROI both for business and consumer benefit. It's a virtuous cycle for building data culture across the organisation, thereby motivating the analytics & business user teams.
Generative AI will democratise the usage of data sciences. Even software developers, can plug-in some of the APIs , use appropriate prompt engineering and do wonders for larger community benefit. This is absolutely an inflexion point in the adoption of data science-enabled value creation
There is a need to bridge that gap, so that businesses can appreciate the technology and technology can benefit the business. This is where systems like generative AI can be very helpful. ChatGPT and Microsoft Co-pilot are enabling business users to engage in conversational tones to get access to decision-enabling insights.
You can watch/listen to the interview on our website, youtube, apple, amazon music and Spotify podcasts on the links below. Please do share your comments and subscribe/follow us on @maavrus on LinkedIn, facebook and Twitter.
View all episodes
By MaavrusThe key to being a good data scientist is to behave like a child – stay curious and willing to learn. Use this approach to continuously improve in the four areas (i) good domain knowledge (ii) foundation in maths & analytics (iii) comfort with tech /programming (iv) business empathetic communication skills, and success is guaranteed - Excerpt from the Expert Talks interview with Dr. Manish Gupta.
Today is Episode 13 of the Interview series on Expert-Talks @ MAAVRUS, with Leaders in the Analytics, AI and Transformation space. For this episode, our CEO Mahadevann Iyerr (Mahaa) is in conversation with Dr Manish Gupta, Global Data Science leader at Microsoft. Prior to Microsoft, he was Vice President and CoE Head – Machine Learning & Data Science Research at American Express. He has also held Analytics leadership roles at InfoEdge and Citibank. He is a PhD in Mathematics from IIT Delhi.
We are sure you will learn greatly by listening to Dr. Manish Gupta. A few key points from the interview :
The basic difference in analytics solutions between digital and physical businesses is the volume and velocity of data. Digital companies have a higher appreciation of data and have a data-first mindset since it is core to their survival. They need to leverage the data for impacting customer experience and retaining them.
For traditional companies data and AI can provide a competitive edge. The early adopters, build a data culture quickly so that they can stay ahead.
For building a culture of data and AI, business leaders need to have trust in analytics as an engine for growth. And it has to be reciprocated by the analytics team by developing impactful solutions & articulating the ROI both for business and consumer benefit. It's a virtuous cycle for building data culture across the organisation, thereby motivating the analytics & business user teams.
Generative AI will democratise the usage of data sciences. Even software developers, can plug-in some of the APIs , use appropriate prompt engineering and do wonders for larger community benefit. This is absolutely an inflexion point in the adoption of data science-enabled value creation
There is a need to bridge that gap, so that businesses can appreciate the technology and technology can benefit the business. This is where systems like generative AI can be very helpful. ChatGPT and Microsoft Co-pilot are enabling business users to engage in conversational tones to get access to decision-enabling insights.
You can watch/listen to the interview on our website, youtube, apple, amazon music and Spotify podcasts on the links below. Please do share your comments and subscribe/follow us on @maavrus on LinkedIn, facebook and Twitter.