Loading…
Thursday, November 14 • 5:00pm - 5:30pm
Machine Learning's Missed Opportunity in Visual Data Management

Sign up or log in to save this to your schedule and see who's attending!

ApertureData's platform accelerates AI applications through its Data Management solution that redefines how large visual data sets are stored, searched and processed. It exposes a unified interface that allows users to store and search both the data and metadata associated with visual artifacts (images or videos). ApertureData's platform provides several innovative features: the ability to evolve metadata easily without requiring costly schema change, first-class status for feature vectors and bounding boxes, the ability to perform similarity searches as well as the ability to perform common pre-processing operations close to the data. The platform will be pluggable in allowing data to be stored on different backends and serve any machine learning pipeline. Based on our current work with customers, our platform, when used for a medical imaging use case, provides up to 5X improvement over the range of queries executed commonly in the field and can save upwards of 2 months per data scientist per machine learning deployment for every new application that wants to exploit data to gather insights. What other makeshift solutions fail to address is that once AI is ready to be commercialized, managing the onslaught of real visual data is going to be a killer for real deployments. Our talk will explain how ApertureData Platform achieves the performance and functionality for a wide range of application domains as well as a demo to show how to use it.

Speakers
avatar for Vishakha Gupta-Cledat

Vishakha Gupta-Cledat

Founder and CEO, ApertureData
I am the Founder and CEO of ApertureData. Prior to that, I was at Intel Labs for over 7 years where I led the design and development of VDMS (the Visual Data Management System) which forms the core of the ApertureData Platform. I have a Ph.D in Computer Science from the Georgia Institute... Read More →


Thursday November 14, 2019 5:00pm - 5:30pm
data

Attendees (16)