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The Utilitarian Nature of Machine Learning: Increasing Business Value

Aishwarya Srinivasan guides the listeners through the intricate sphere of machine learning and all the ways it can increase value for businesses and corporations. Hear her talk about this comprehensive tool of the future and using it for competitive advantage in the modern economy.

Global ITES Committee

New York Chapter

All Episodes

5 Episodes

Aishwarya explains how to increase one’s customer engagement by creating successful recommendation models. Hear how content plays a major role in customer engagement and facts about the same to boost customer engagement.
Aishwarya talks about the volatility of the stock market and decodes the external factors behind the volatility. Hear her talk about the stock trade prediction model and the statistics behind it
Hear Aishwarya talk about how the machine learning models are getting smarter with time, hence eliminating the touch of human beings throughout the process
Aishwarya talks about how financial institutions use AI applications for a better banking experience.
Hear her talk about how AI has been integrated into the automobile industry. She takes Tesla as a case study and talks about the reasons why AI hasn’t been completely integrated into the automobile industry.

About Aishwarya Srinivasan

Aishwarya is working as a Data Scientist in the Google Cloud AI Services team to build machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and AI Platform. Aishwarya was working as an AI & ML Innovation Leader at IBM Data & AI, where she was working cross-functionally with the product team, data science team and sales to research AI use-cases for clients by conducting discovery workshops and building assets to showcase the business value of the technology.

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