We're still in January and AI might already be the buzzword of 2023 - and for good reason. AI powered startups have been layoff resistant and machine learning engineers are one of the fastest growing jobs, not in tech, but in the entire economy.
This week, we sit down with Pinecone Founder and CEO, Edo Liberty. An AI and machine learning expert, Edo graduated from Yale with a PhD in Applied Mathematics and worked as Head of Amazon’s AI Labs before founding Pinecone.
Listen as he explains why the biggest AI and machine learning companies in the world - Google, Amazon, Meta and TikTok - use vector search to power their products.
- (2:26) Edo's start in AI
- (8:08) What is vector data?
- (11:48) Face detection for cows
- (16:27) Engineering applications of vector search
- (22:58) What's so hard about vector search?
- (25:29) Where is the industry stuck today?
- (28:11) Open source projects
- (31:57) What's the future of vector search?
- (35:11) Pinecone's recently announced 'hybrid search'
On Feb. 15th, learn how the smartest engineers increased productivity by up to 30% without working longer hours or burning out their teams
Every engineering team could use some easy wins right now, including yours. We’re talking quick ways to improve productivity without wasting more hours at work, spending a lot of money or burning out already-stretched teams.
That’s why LinearB teamed up with dozens of engineering orgs to crowdsource the real ways smart companies have improved their productivity - quickly and most importantly, easily.
On February 15th, LinearB will be presenting this playbook at our free, virtual Scaling Developer Efficiency workshop.
Designed to help you gain up to 30% increased productivity, this free online workshop will empower your team with strategies and solutions that let them focus on what they do best: Code.