Proprietary Data and AI Metrics: The State of AI Investing in 2019

One of the biggest challenges for AI startups is gaining a foothold in a market dominated by big tech. In this talk, Jeremy Kaufmann, Principal at Scale Venture Partners, will draw on examples from companies he has seen across a variety of AI vertical industries — including radiology, legal technology, business translation, voice ordering, and chatbots — to share strategies that vertical AI startups can deploy in order to create a proprietary data advantage that helps them compete against the large cloud vendors. He will also walk through key metrics that AI startups should highlight when pitching to investors, including ROI data, self-service resolution/ containment, and metrics showing the rate at which the accuracy of the algorithm is improving over time.

Who is this presentation for?
Business leaders/ entrepreneurs who are deploying AI in their businesses

Prerequisite knowledge:
None

What you'll learn?
Actionable steps AI startups can take to gain footing in a market dominated by Google, Microsoft and Amazon, and what factors will make a difference in their ability to succeed.

Jeremy is a Principal at Scale Venture Partners where he focuses on investments in companies adding machine intelligence to business and vertical software, especially in industries untouched by the first decade of SaaS. He has helped drive investments in companies such as KeepTruckin, Solvvy, and TechSee.