Big Data & AI Keynote Speaker
Columbia University Professor, Podcaster, Writer, Serial Tech Entrepreneur
"Inspiring. Demystifying. Entertaining"
Big Data and Machine Learning Keynote Speaker
Asha Saxena has been a keynote speaker at several academic and influential conferences, including Dataversity Enterprise Data World, YPO, World Woman Summit, Innovationweek, TDWI, World Economics Forum.
Asha is a world renowned expert who delivers speeches on topics such as; Entrepreneurship, Innovation, Women in Tech, as well as Artificial Intelligence, Machine Learning and Big Data Strategies for business. Her talks are designed to inspire CEOs, business owners and non-tech professionals with clear, actionable takeaways on how to understand, adapt, and seize the potential of this radical new world of big data and AI.
“Asha Saxena is a brilliant speaker who understands, and can present with clarity, numerous different topics in the Data Management industry from AI to Big Data, Data Governance to Business Strategy, and so much more.”
– Charles Roe, Dataversity


“With few equals, Asha continues to demonstrate a keen insight on the implications of incorporating big data and AI into designing business strategies and decisions going forward for companies.”
– Rajeev Kapur CEO of 1105 Media
Asha has spoken at the following events:
Professional speaker adept in several formats




SKILLED DELIVERY IN ANY TOPIC




Leading with Innovation: Advanced Analytics and Artificial Intelligence
Sophisticated subject matter in an easy-to-understand, accessible format equips executives with the working knowledge needed to seize opportunities that analytics, artificial intelligence and a data strategy presents and put data analytics to practical use.
Who Should Attend
- Senior leaders who want to build AI into strategy and a culture of data-driven decision making
- Functional leaders in areas such as marketing, finance and other operational areas who would benefit from a better understanding of how to leverage analytics and AI in decision-making

