Enterprise-Scale Innovation that Delivers Business Results
The presentation will focus on best practices to develop ML powered applications that can move the needle on business critical KPIs. We will walk through a rapid prototyping framework to develop effective personalization experiences, the mindsets, and skills required to execute on an innovation roadmap, how to evaluate and work with vendors that provide 'AI-powered' solutions, and how to design experiments to quickly iterate towards a better experience for customers.
- Focus on building a solid data foundation and approach the task by focusing on specific verticals where data quality and reliability gaps are much easier to bridge.
- Be ready to change the way they manage projects and organize teams. AI initiatives require fundamentally different skillsets than what most enterprises traditionally possess and the projects require significant number of iterations.
- Focus on solving the problems that lie at the intersection of customer desirability, business viability and technical feasibility. These problems should be aimed at making their consumer’s lives simpler and should have a well-defined success criteria.
During daytime, Pallav works as a Data Scientist and tries to extract meaningful signals from the noisy world we live in. As the moon rises and evening sets in all bets are off and one might find Pallav on his bike riding through the Berkeley hills in bright colored lycra or performing never-before-scenes of Dramedy with his Improv troupe. Pallav is a part-time Human Centered Design Thinking coach and has helped non-profits and early-age startups develop clarity on their mission and recognize growth areas. He moved to the Bay Area in 2010 and somehow managed to acquire a Masters in Structural Engineering after spending two years actually learning how to think. He is an avid follower of Seth Godin, Ken Robinson, and Nicholas Taleb, and is currently looking at ways to explain algorithms through cute, anthropomorphized animals.