Observability in Visual Search
How Bazaarvoice uses Arize AI to understand where it's visual search models are failing
MLOps Build Vs. Buy: Understanding Tradoffs and ROI
A panel about Build vs Buy of MLOps tools for Arize AI's Observability conference.
Generating Value from Data at Bazaarvoice With Machine Learning and AWS Sagemaker
A talk I gave at the AWS Data Summit for Software Companies about how Bazaarvoice generates value by usin MLOps and AWS Sagemaker to moderating user generated content. The talk is a high-level case study for an executive audience, but has some good nuggets for engineers as well.
Scaling Visual Search.... By Shrinking It
A condensed and refined version of my LOPQ talk. It sticks more to higher ideas and shows more use cases at Bazaarvoice. Prepared for and presented at https://www.faire.com/ 's data tech talks on June 23, 2022..
Deep Learning at Street Level
A talk I gave at Barcamp Philly about some deep learning stuff I did at curalate.
Scaling Visual Search: An R&D Case Study
A talk I gave at PHLAI about how Curalate practices agile R&D.
Scaling Visual Search with Locally Optimized Product Quantization
A talk on LOPQ I gave for Papers We Love meetup in Philadelphia.
Listen to your Camera: Understanding Visual Communications with Computer Vision
From memes to infographics; our online habits have made images a first-class form of communication. Programmatically analyzing images, however, presents a significant amount of technical challenges, especially at scale. This talk dives deep into multiple computer vision techniques Curalate has employed to understand what people are saying with their pictures, and the insights we have learned from them.