Welcome to episode 168 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today's guest is Ganes Kesari, Co-Founder and Chief Decision Scientist at Gramener in New Jersey. Founded in 2010, Gramener is a data science company that helps solve complex business problems with compelling data stories using insights and a low-code analytics platform. They help enterprises large and small with data insights and storytelling by leveraging Machine Learning, Artificial Intelligence, Automated Analysis and Visual Intelligence using modern charts and narratives.
In his role as Chief Decision Scientist, Ganes advise executives aligning their data science strategy with business vision, building teams to apply advanced analytics and data visualization, and helping businesses adopt a data-driven culture. He leads Gramener's innovation through our AI Labs and Data Story Labs. through running experiments on the latest techniques in deep learning and data storytelling, and tailoring them for enterprise applications.
In the episode, Ganes will discuss:
The fascinating work they do at Gramener
How the company has evolved from its early days to now
Helping customers create a successful AI and Data Science strategy
Interesting use cases of the benefits they bring customers
Recent challenges they are helping companies overcome
What they look for when hiring into the team
Advice to those considering a career in Data Science
To find out more about Ganes and his work at Gramener, check out the website www.gramener.com or follow them on Twitter @Gramener. You can also connect with Ganes on Linkedin, follow him on Twitter @Kesaritweets or check out his own website www.gkesari.com.
What did you think of Ganes' podcast? Where do you see the future of AI and Data Science heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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