Enterprise AI Software with Rasna Goenka at Impact Analytics
The Data Standard
Enterprise AI Software with Rasna Goenka at Impact Analytics
Rasna Goenka, Executive Director at Impact Analytics, joins The Data Standard to talk about her journey and Impact Analytics.
Episode Summary
This episode of The Data Standard starts with our guest Rasna Goenka speaking about her previous experience and background. She is currently working in Impact Analytics, where she combines all of her experience into one specific application. She goes on about the methods she uses to extract the information that makes a difference.
Rasna talks about her approach to marketing strategies and other everyday business challenges. The process involves a lot of math and calculations, and the smallest details can make a huge difference in success. She then talks about how AI impacts retail and the multiple ways it helps retailers increase sales and improve customer satisfaction. The process involves constant prediction, optimization, and review of big data.
The episode continues covering the challenges of working with a team and creating working AI solutions. Rasna says that over 70% of AI solutions fail completely, so every project is a challenge for itself. Everything begins with the right AI problem formulation. She finally talks about her podcast and what topics she covers with her guests.
Meet The Host
Catherine Tao
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Rasna Goenka
Enterprise Products Leader, Executive Director at Impact Analytics
Rasna Goenka is an experienced scientist specializing in creating and scaling AI products. She has extensive experience in multiple fields, including product analytics, data science, advanced analytics, revenue growth management, retail strategy, and so on.