Welcome to a new episode of LA PIPA Studios, where we explore the cutting edge of Data Science & AI through conversations with industry leaders. Our goal is to spread scientific knowledge and technical expertise while diving into real-world applications and insights from our guests. In this episode, we talk to Ganes Kesari, Co-founder and Chief Decision Scientist at Gramener. 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 that promote a culture of data. “I advise executives of enterprises, 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 businesses. My tryst with data happened about a decade ago when I co-founded Gramener. It has been an enriching journey at Gramener so far. I’ve 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, complementing it with hands-on execution and an eye for detail. I’ve spent a lot of time strategizing and laying out the direction for Gramener—then leading from the front by executing that 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 jargon. I rejoice whenever I manage to design visual stories that distill complex insights onto a single sheet of paper.” Thank you for sharing your expertise, Ganes! Your perspective on building data science teams and fostering a data-driven culture provides invaluable guidance for organizations looking to harness the power of AI and analytics.



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