20VC: The Value Chain of Machine Learning, Is There Really An Incumbency Advantage in ML & Will The Rise In Cyber Remain For the Long Term with Jake Flomenberg, Partner @ Accel
Posted on 6th December 2017 by Harry
Jake Flomenberg is a Partner @ Accel, one of the top performing venture funds of the last decade with investments in the likes of Dropbox, Slack, Facebook, Deliveroo and Atlassian, just to name a few. As for Jake, at Accel he specializes on all things Big Data and has led investments in the likes of Demisto, Origami Logic, Sumo Logic, Trifacta, and Zoomdata. Prior to Accel, Jake was director of product management at Splunk, where he was responsible for the product’s user interface and big data strategy. Before that, he worked at Cloudera where he helped the founding team tackle a broad array of sales, marketing and product issues.
1.) How Jake made the transition from the world of operations with Cloudera and Splunk to the other side of the table, as Partner at Accel?
2.) Why does Jake believe a large element of his role is “how to make AI not BS”? How does he approach this from the three-legged stool of machine learning, data and workflow? How do each subsequently rank?
3.) To what extent is Jake concerned by the data incumbency advantages that are present in the market with Google, Amazon, Facebook and Apple (GAFA)? Where is the room for real opportunity and innovation? When should a startup be concerned about GAFA entering?
4.) How does Jake respond to Aaron Van Devender’s suggestion that the value of large datasets is overplayed? Where are the inflection points in dataset value? How does David compare the value of initial data vs derivative data and the subsequent value?
5.) How does Jake assess the current state of the cybersecurity market? Is this increased investment period sustainable or due to more macro attention and events? Where does Jake feel the real opportunity is in cyber today? Where is it overplayed?
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