Category Archives: Machine Learning

Episode 67: From Intrapreneur to Entrepreneur



Jeff began his career at IBM. After 3 uneventful years, he moved to Google to help launch the Google Apps (now GSuite) business. After running the Education team for 4 years and growing the business to 70% market share, he transitioned to help launch the Chromebook product line and drove the go-to-market strategy.

But 6 years and 2 major launches were at Google was enough. Following this 6-year stint helping launch new businesses at Google, he joined other Xooglers to help launch Upstart the first lending platform to leverage artificial intelligence and machine learning to price credit and automate the borrowing process. He is now leading Powered by Upstart, Upstart’s new white label offering for banks.

The transition from employee to intrapreneur to entrepreneur may seem daunting – but it’s easier than you think. Come hear about Jeff’s story and the lessons you can take away from his experiences.

Bio:

Jeff joined Upstart after spending 6 years at Google. He launched and built the Google Apps for Education business, growing market share from zero to almost 70% in its first four years. Jeff spearheaded marketing efforts for Google Apps in Global 2000 accounts and led sales, business development, and go-to-market strategy for the launch of Chrome devices in the education and enterprise sectors. He spent several years in direct sales at IBM, always exceeding quota, and was a founding engineer and led UI developer at SSB Technologies. Jeff holds a BS in Computer Systems Engineering from Stanford University.
Twitter: @jkeltner


Episode 55: 10 Things Every Business Owner Should Know About Machine Learning



Artificial Intelligence (AI) and its most popular subfield, Machine Learning (ML), are all the rage these days. Futurists predict that every facet of our lives and every line of business is going to be transformed by ML. In this talk, we will focus on some of the key insights that every business owner and practitioner should know about ML. Theses insights will range from some of the key ML tools to some of the common fallacies and lessons learned related to the ML process. This is a high-level talk so no matter what your expertise level, you will likely walk away with some amount of learning.

BIO:

Ahmad R. Khan is a Solutions Architect at AWS. Based out of Southern California, Ahmad helps strategic AWS customers architect and optimize their workloads on AWS. His current focus areas are real-time communications and machine learning. Starting his career as a developer, Ahmad has since held various roles in both product development and sales engineering at Cisco and two Silicon Valley startups before joining AWS in 2014. Ahmad holds a Masters in Electrical Engineering from University of Southern California.