Team Welcome Natasha, Amplify’s Head of Talent Natasha will partner closely with our founding teams on strategic challenges and opportunities including developing best-in-class recruiting experiences that support employee engagement; identifying and scoping key hiring needs.
Datadog - Thank You and Congratulations Congratulations to the Datadog team on your public debut today, it’s an incredible milestone. We are extremely grateful for our relationship with you and for the unique place Datadog occupies in the history of our firm.
Machine Intelligence Announcing Projects To Know, a weekly machine intelligence and data science newsletter From libraries for explaining and interpreting ML models to programming paradigms for weak supervision, the newsletter will focus on a range of disciplines, including: including deep learning, statistical learning, data mining, data management, and data visualization.
6 Steps To Navigating Enterprise Buying Patterns Selling your product to large enterprises is no easy feat that requires an enterprise-specific strategy. In Mark's most recent talk at Prisma Day 2019, he shares strategies to help products achieve enterprise adoption.
Developer Congratulations Fastly! Reflecting on Seed to IPO Congratulations to the entire team at Fastly on a successful initial public offering. It’s been incredible to observe the effort and dedication that led you to this milestone. While there is no shortage of work still to do, becoming a public company is a huge milestone that is worthy of reflection.
Team Welcoming Renee Shah, Amplify’s Newest Investor I am excited to share the news that Renee Shah has joined Amplify’s investing team as a Principal focusing on our core investment themes in AI, machine learning, and intelligent applications.
Team Welcome Mark LaRosa The rare combination of Mark's ability to win the first, large strategic deals while being able to relate to the stresses and limitations that are inherent in an early stage venture make Mark uniquely suited for his new role.
Machine Intelligence Automation, Simplification, and Meeting the Technology Halfway In this Q&A with Michael Osborne, we delve into the historical context of AI and the impact automation will have on the future of work. Michael Osborne is the Dyson Associate Professor in Machine Learning at the University of Oxford.
