LATEST NEWS
OUR EVENT SCHEDULE
ATTENDING
May 31–June 3, 2026
All in Liquidity Summit
Yountville, California, USA
Who
Hedge funds, fintech leaders, allocators, and enterprise technology operators
Learn
How financial firms are using AI and data systems to improve decision-making
Why it
matters
Financial markets increasingly reward firms with faster predictive intelligence
ATTENDING
June 1, 2026
Snowflake Summit
San Francisco, California, USA
Who
Enterprise data leaders, AI teams, CIOs, and cloud infrastructure partners
Learn
How enterprises are scaling AI and analytics across structured data systems
Why it
matters
Enterprise AI depends on activating and governing structured data at scale
SPEAKING
June 8, 2026
Illuminate AGM
London, United Kingdom
Who
Investors, founders, operators, and enterprise technology leaders
Learn
How investors are evaluating next-generation enterprise AI infrastructure
Why it
matters
Investor alignment will accelerate enterprise AI platform adoption
SPEAKING
June 11, 2026
Veriten Summit
Houston, Texas, USA
Who
Energy executives, investors, operators, and industrial technology leaders
Learn
How AI is improving industrial forecasting and operational decision-making
Why it
matters
Industrial sectors hold massive untapped potential for enterprise AI
SPEAKING
June 9–11, 2026
Founders Forum Global
Cotswolds, United Kingdom
Who
Global founders, CEOs, investors, and enterprise technology leaders
Learn
How leaders are navigating enterprise AI adoption and infrastructure shifts
Why it
matters
Enterprise AI growth will be shaped by global founder collaboration
SPEAKING
June 25, 2026
Battery AI Leaders Roundtable
Virtual
Who
Enterprise AI executives, investors, operators, and technology leaders
Learn
How enterprises are scaling AI across operational and commercial workflows
Why it
matters
AI leaders are accelerating enterprise-wide deployment strategies
HOSTING
June 25–26, 2026
Tokyo Meetup
Tokyo, Japan
Who
AI researchers, machine learning engineers, and platform engineers
Learn
How large tabular models are reshaping enterprise AI capabilities
Why it
matters
Most enterprise knowledge lives in structured data
SPEAKING
July 8–9, 2026
RAISE Summit
Paris, France
Who
AI founders, enterprise leaders, investors, researchers, and policymakers
Learn
How organizations are deploying AI across enterprise operations at scale
Why it
matters
Enterprise AI is shifting from pilots to measurable production outcomes
ATTENDING
July 18–19, 2026
CoreWeave x FIFA World Cup Event
New York, USA
Who
Infrastructure providers, AI leaders, media groups, and tech partners
Learn
How compute platforms are powering next-generation AI experiences globally
Why it
matters
Enterprise AI growth depends on scalable infrastructure and compute
SPEAKING
September 15–17, 2026
Dreamforce 2026
San Francisco, California, USA
Who
Enterprise executives, IT leaders, developers, and AI technology teams
Learn
How enterprises use AI and automation across customer operations workflows
Why it
matters
Dreamforce signals how AI is entering enterprise software ecosystems
ATTENDING
September 23–24, 2026
Amazon CEO Summit
New York, USA
Who
Fortune 500 executives, enterprise operators, and technology leaders
Learn
How CEOs are approaching AI adoption and cloud transformation strategies
Why it
matters
AI adoption is now a top priority tied directly to business growth
SPEAKING
October 7, 2026
Headline AGM
TBD
Who
Venture investors, founders, enterprise operators, and AI leaders
Learn
How investors evaluate emerging AI infrastructure and enterprise platforms
Why it
matters
Investor conviction will shape long-term AI platform market leaders
SPEAKING
October 7–8, 2026
World Summit AI Amsterdam 2026
Amsterdam, Netherlands
Who
AI founders, researchers, policymakers, investors, and enterprise leaders
Learn
How enterprises deploy frontier AI and data infrastructure globally
Why it
matters
Europe is rapidly expanding enterprise AI adoption opportunities
SPEAKING
October 13–15, 2026
TechCrunch Disrupt 2026
San Francisco, California, USA
Who
Startup founders, VCs, enterprise buyers, engineers, and AI companies
Learn
Which AI startups and infrastructure platforms are gaining momentum
Why it
matters
Disrupt is a major signal for emerging enterprise AI market trends
SPEAKING
October 19–21, 2026
Money20/20 USA Mastercard Panel
Las Vegas, Nevada, USA
Who
Fintech executives, payments leaders, and enterprise AI organizations
Learn
How AI is transforming fraud, underwriting, and financial operations
Why it
matters
Financial firms must modernize outdated prediction infrastructure
SPEAKING
November 9–12, 2026
Web Summit
Lisbon, Portugal
Who
Global founders, enterprise executives, investors, and innovation leaders
Learn
How AI infrastructure is shaping the future of business transformation
Why it
matters
AI adoption depends on scalable operational and data infrastructure
SPEAKING
December 9–10, 2026
AI Summit New York 2026
New York City, New York, USA
Who
Enterprise AI leaders, Fortune 500 executives, and infrastructure providers
Learn
How enterprises deploy AI across analytics and operational systems
Why it
matters
NYC remains a major hub for enterprise AI partnerships and adoption
ATTENDING
January 18–22, 2027
World Economic Forum Annual Meeting
Davos, Switzerland
Who
Political leaders, Fortune 500 executives, and global technology innovators
Learn
How institutions are shaping AI regulation and global infrastructure
Why it
matters
Global AI adoption will depend on institutional alignment and policy
RESEARCH & WHITEPAPERS
Developing Foundation Models for Real-World Tabular Data.
Many landmark breakthroughs in supervised deep learning can be distilled into tabular prediction problems. Historically, however, each advancement has required immense, specialized resources. We propose a paradigm shift: the development of a universal predictor that leverages shared experience across billions of examples to adapt to novel tasks via in-context learning. Our objective is to build a foundation model for structured data where previous breakthroughs become mere queries to a single system. In this paper, we argue that current foundation model architectures are ill-suited for this task and outline our approach to solving it. This work serves as the research manifesto for Fundamental.
AUTHORS
Marta Garnelo
Chief Science Officer
Google Scholar Profile
Wojciech Marian Czarnecki
Founding Advisor
Google Scholar Profile
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