Co-founder & Chief Decision Scientist
Bedrock is an independent Data Science & AI practitioner and our podcast Data Stand-up! is aimed to spread scientific knowledge and technical expertise relating to our work with clients. All guests contribute to this knowledge exchange by also sharing their own experiences, learnings, and achievements.
In this new episode, Jesús talks to Ganes Kesari, Co-founder and Chief Decision Scientist at Gramener. He is an entrepreneur, AI thought leader, author, and TEDx speaker. Ganes advises executives of large organizations on data-driven decision making. His expertise lies in the application of data science to solve business challenges, and in building teams to promote a culture of data.
“I advise executives of enterprises and the leadership of NGOs and Governments on organizational transformation using data science. I specialize in building data science teams and helping firms adopt a data culture. Starting my career in technology consulting, I spent a decade helping Fortune 50 clients use technology to enable and transform their business. My tryst with data happened about a decade back when I co founded Gramener.
It has been an enriching journey at Gramener so far. I experimented with the practical aspects of startup building and have been observing how our culture continues to evolve.
Advising businesses on the application of data science I’ve been deepening my skills in data analytics, machine learning and information design. I’m fascinated by the big-picture view and complement it by hands-on execution with attention to details.
So, I’ve spent a lot of time strategizing and laying out the direction for Gramener. And, I’ve been leading from the front by executing the strategy – building teams and delivering value to clients.
I take exceptional interest in discovering deeper patterns, simplifying things and presenting information visually. I challenge myself to explain AI and technology without math or jargons. I rejoice whenever I manage to design visual stories that distill complex insights into a single sheet of paper.”
Thanks for sharing your knowledge Ganes!
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