Abstract: 

As data scientists, companies ask us to produce the perfect model to supercharge their products. While platforms and processes evolved to address challenges in software development, for data science this is still very nascent. Addressing this gap is critical to successfully shipping predictions with products. Models need to be monitored and updated, and data scientists also need the tools to make rapid iteration possible. In this talk I will share how Salesforce tackles the challenge of making data science an agile partner to over 100,000 customers without compromising on high quality AI solutions. I will cover in detail both the process and the platform that enables experimentation and deployment to enable each of our customers to build custom models with a few simple clicks.

Bio: 

Coming Soon