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Data & Infrastructure
A multi-track commercial conference highlighting real-world deployment of machine learning and predictive analytics. It features co-located events spanning business, financial, healthcare, climate, and industry applications to help practitioners successfully move models into production.
Exhibitor mix: No distinct thematic segmentation or floor pavilions; partners are categorized purely into broad sponsorship tiers including Gold, Silver, and Bronze slots across co-located tracks.
Filter this event to your ICP.
Hundreds of exhibitors here. You probably care about 20–30. Tell us your ICP, we'll find them.
Request intelligence →Delivery within 24 hours · $1,250
⚠️ The exhibitor list for this event isn't publicly accessible yet. We'll work on it once you submit a request.
Venue
The Clift Royal Sonesta HotelHotel venue · 1,115 m²
The Clift Royal Sonesta is a historic hotel in downtown San Francisco featuring over 12,000 sq ft of event space, including a ballroom and various meeting rooms, catering to corporate meetings, weddings, and social events.
📍 495 Geary St, San Francisco, CA 94102, USA
Operated by Sonesta International Hotels Corporation
Organizer
Rising MediaPrivate · Santa Barbara, United States · Founded 2005
Rising Media is a global event producer specializing in technology, internet marketing, and digital analytics conferences.
Why people attend
To acquire enterprise-grade deployment tools, bridging the technical modeling gap with concrete frameworks to maximize returns on corporate data infrastructure investments.
Who attends
Exhibitor categories
Sample matches
Filtered to a Series-B SaaS ICP. Your filter will be different.
Sample Match A
example.com
"Strong ICP match: Series B, EU expansion, VP Engineering and CTO attending."
Sample Match B
example.io
"Mid-stage SaaS with active GTM motion; product-led growth signals align with ICP."
████████ ██████
████████.io
"████████████████████████████████████████."
Submit your ICP
to unlock all matches
████████ ██████
████████.io
"████████████████████████████████████████."
Submit your ICP
to unlock all matches
Speakers
179 speakers at Machine Learning Week USA
Head of Machine Learning · Abnormal Security
Dan is the Head of Machine Learning at Abnormal Security, responsible for leading a team of 40+ detection and ML engineers in building the data processing and ML layers in the platform. Prior to Abnormal, Dan worked at Twitter, first as a staff machine learning engineer in Cortex, and later as the manager of the web ads machine learning team. Before Twitter, Dan worked as a senior data scientist at Truemotion, where he developed smartphone sensor algorithms to price car insurance. He has a PhD in machine learning from the University of Oxford.
Also speaking at SecureWorld New York City 2026
+ 163 more speakers at this event.
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Frequently asked questions