Technical Talks
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Just Because Your Data Is Unstructured Doesn’t Mean it Should be Onerous
Visual data (images/videos) is rich in valuable insights. Data science and ML techniques can help understand visual content and enable better customer experience across application domains, in turn driving its exponential growth. A key factor for success in visual ML is to get the foundational data infrastructure right, which can be extremely challenging and time consuming due to a lack of data management solutions designed with visual data or data science in mind.
In this talk, I will start by briefly highlighting why visual data today needs special treatment and how this can be achieved. I will also dive deeper into certain architecture and design decisions that have worked well so far as we build such a database ourselves, and give you a quick preview of our product, ApertureDB, and where we are going next.
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Co-Founder & CEO
Vishakha Gupta-Cledat
ApertureData
Vishakha Gupta-Cledat is Co-founder and CEO of ApertureData. Prior to that, she worked at Intel Labs for over 7 years where she led the design and development of VDMS (the Visual Data Management System) which forms the core of ApertureData’s product, ApertureDB. Vishakha holds a Ph.D in Computer Science from the Georgia Institute of Technology and a M.S. in Information Networking from Carnegie Mellon University. She has worked on scheduling in heterogeneous multi-core environments, graph based storage and applications on non volatile memory systems, and visual data management challenges for analytics use cases.
Discover the data foundations powering today's AI breakthroughs. Join leading minds as we explore both cutting-edge AI and the infrastructure behind it. Reserve your spot at before tickets sell out!