The Buy-Side Race Has Changed
It’s no longer about having structured data — it’s about unifying every data source and transforming it into faster, smarter intelligence.

The firms defining the next decade are using AI to turn raw information into real-time market advantage.

The Power of Unstructured Data
Every day, billions of data points are published in 8-Ks, 10-Ks, investor call transcripts, analyst calls and company announcements — data that’s rich with market-moving signals but traditionally difficult to access and analyse at scale.

Now, with the power of Snowflake’s AI Data Cloud and marketplace data listing providers S&P Global and Third Bridge, leading buy-side firms are surfacing hidden insights from unstructured text — uncovering sentiment shifts, competitive dynamics and early warning indicators long before they appear in traditional datasets.

Gain the AI Edge
Join Snowflake, Alpha FMC, S&P Global and Third Bridge to see how the most innovative investment teams are:

  • Ingesting, unifying and analysing structured and unstructured data in a single, secure platform
  • Applying AI and large language models (LLMs) to extract differentiated insights from filings, earnings calls and market commentary
  • Accelerating research workflows and decision-making with secure, scalable and compliant AI applications
  • Building next-generation investment signals ahead of the market curve
Agenda:
Time Title
17:00 Introduction from Dan Jones
17:05 Alpha FMC: Industry Trends for the Buy-side – Deepak Arora & Jeremy Hunt
17:15 S&P: Questioning the Answers: LLMs Enter the Boardroom – Liam Hynes
17:15 S&P: Questioning the Automation for the Buy-side
17:25 Nathan Attrell & Mats Stellwall
17:45 Snowflake Intelligence Demo
18:05 Panel Discussion
18:30 Networking & Happy Hour
20:30 End of Event
Partner Logo

The Buy-Side Race Has Changed
It’s no longer about having structured data — it’s about unifying every data source and transforming it into faster, smarter intelligence.

The firms defining the next decade are using AI to turn raw information into real-time market advantage.

The Power of Unstructured Data
Every day, billions of data points are published in 8-Ks, 10-Ks, investor call transcripts, analyst calls and company announcements — data that’s rich with market-moving signals but traditionally difficult to access and analyse at scale.

Now, with the power of Snowflake’s AI Data Cloud and marketplace data listing providers S&P Global and Third Bridge, leading buy-side firms are surfacing hidden insights from unstructured text — uncovering sentiment shifts, competitive dynamics and early warning indicators long before they appear in traditional datasets.

Gain the AI Edge
Join Snowflake, Alpha FMC, S&P Global and Third Bridge to see how the most innovative investment teams are:

  • Ingesting, unifying and analysing structured and unstructured data in a single, secure platform
  • Applying AI and large language models (LLMs) to extract differentiated insights from filings, earnings calls and market commentary
  • Accelerating research workflows and decision-making with secure, scalable and compliant AI applications
  • Building next-generation investment signals ahead of the market curve
Agenda:
Time Title
17:00 Introduction from Dan Jones
17:05 Alpha FMC: Industry Trends for the Buy-side – Deepak Arora & Jeremy Hunt
17:15 S&P: Questioning the Answers: LLMs Enter the Boardroom – Liam Hynes
17:15 S&P: Questioning the Automation for the Buy-side
17:25 Nathan Attrell & Mats Stellwall
17:45 Snowflake Intelligence Demo
18:05 Panel Discussion
18:30 Networking & Happy Hour
20:30 End of Event
Partner Logo

SAVE YOUR SPOT!

Speakers
  • Dan Jones

    Account Executive
    Snowflake

  • Deepak Arora

    Enterprise Architect
    Alpha FMC

  • Jeremy Hunt

    Senior Partner and AI and Analytics lead; Asset & Wealth Management Consulting
    Alpha FMC

  • Liam Hymes

    Global Head of New Product Development for Public markets
    S&P Global Market Intelligence

  • Nathan Attrell

    Industry Principal, Financial Services
    Snowflake

  • Mats Stellwall

    Principal Architect, Machine Learning, Applied Field Engineering Office
    Snowflake