Networking • March 11th, 2024 • 6:30 PM CET

Mastering Product Management

Mastering Product Management​

Join us for an evening of networking with Anjali Joshi, former VP of Product Management at Google

This event is a unique opportunity to network, gain insights, and delve into the intricacies of product management with a proven industry leader. Join us for an engaging and enlightening experience as we explore the secrets of product management success with Anjali Joshi.

Anjali will give a presentation on product management full of tips and tricks, and then attendees will have the opportunity to ask her questions.

Anjali Joshi

Product Management Executive.

OUR GUEST

About
Anjali
Joshi

Anjali is a senior engineering and product management executive with experience in leading product and engineering teams to execute large-scale, complex consumer/business products and services. She currently serves on the boards of Xero, a provider of cloud-based accounting software for small businesses, Alteryx, a provider of automated analytics solutions, and Loconav, a Sequoia funded private company in the fleet management space. She is also on the Advisory Board of the Markkula Center for Applied Ethics. Previously she was on the boards of Lattice Semiconductor, Mcclatchy, MobileIron, and Iteris.

She has a broad technology background and has worked on product management and engineering in the areas of search, image search, maps, news, health, broadband services, language technologies, software/networking infrastructure, cloud platform and computing services. Her focus as a board director is to help with company strategy and product development.

She is an Executive in Residence at INSEAD in France and collaborates with students and faculty at the MS&E department at Stanford University on various projects related to technology and society.

 

6 Takeaways You'll Get
From Attending This Event

Making Transformers memory efficient without sacrificing accuracy
Fine-tuning state-of-the-art models without datacenter-scale hardware resources
Adapting Transformers to run over 1 million of tokens on a single GPU or TPU device
Replacing dot-product attention by one that uses locality-sensitive hashing
Using reversible residual layers to store activations only once in the training process​
Applying Transformers efficiency techniques to new use case scenarios

Join us on March 11th at 18:30 CET at Via Indonesia 23 (Rome).