In Conversation with Rohan Rao

20 September 20241 hour 0 min 21 sec

About the Session

Join us as we sit down with Rohan Rao, Principal Data Scientist at H2O.ai, for an exciting episode of Leading With Data. With his vast expertise in AI and machine learning, Rohan helps build cutting-edge solutions across industries. In this podcast, the Quadruple Kaggle Grandmaster and 9-time Indian Sudoku Champion shares with us his roadmap for selecting LLMs.

Here’s a glimpse of what’s in store:

➡️ His early journey in data science, competition wins, and hackathon experiences.
➡️ Practical framework for choosing the right LLM for your business needs.
➡️ When to leverage GenAI vs. traditional methods for problem-solving.
➡️ The debate: Proprietary LLMs vs. Open-Source—what’s best for business?
➡️ Rapid Fire Round: Quick questions, even quicker answers!

Link to Rohan Rao's talk on Framework to Choose the Right LLM for Your Business: https://courses.analyticsvidhya.com/courses/choosing-the-right-LLM-for-your-business

Don't miss out on this thought-provoking conversation!

About the Speaker

avtar

Rohan Rao

Principal Data Scientist at H2O.ai

Introducing Rohan Rao from H2O.ai! With a wealth of experience in data science and machine learning, Rohan is a seasoned professional at the forefront of innovation. As a critical player at H2O.ai, he brings a unique blend of AI and Machine Learning expertise and builds products across various industries. With a track record of delivering impactful solutions, Rohan is passionate about leveraging data to drive business success. Get inspired by his insights and expertise at our data science event!

Keynotes/transcript

Arnav Garg (15:32 min)

Arnav Garg (15:32 min)

Arnav Garg (15:32 min)

Participate in discussion

Become a Speaker

Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event

  • Professional Exposure
  • Networking Opportunities
  • Thought Leadership
  • Knowledge Exchange
  • Leading-Edge Insights
  • Community Contribution