Proud to sponsor @RavenPack's Exponential Summit in London on June 3! Don't miss Joanna Appleton (VP at Dow Jones) at 3:50 PM as she discusses content, trust, and integrity in the age of AI.
Stop by our stand to connect with the team. Learn more: https://t.co/hahAA0RDRn
#ExponentialSummit #TheAgeofAI
AI/ML EVENT AT THE LONDON SCHOOL OF ECONOMICS
The International Association for Quantitative Finance (IAQF), in collaboration with the LSE Data Science Institute (LSE DSI) at the London School of Economics and Political Science ( @LSEnews ), is pleased to co-host this exclusive event on AI/ML in Finance. We invite you to an evening of compelling presentations and lively discussions exploring how artificial intelligence (AI) and machine learning (ML) are reshaping financial markets.
Sponsored by: https://t.co/fhywvkaxMA and @RavenPack.
Registration is here: https://t.co/CBc1aigiU5.
Confirmed speakers and panelists (alphabetically listed):
Álvaro Cartea, Professor of Mathematical Finance and Director, Oxford-Man Institute of Quantitative Finance, University of Oxford (UK)
Peter Hafez, Chief Data Scientist, RavenPack | https://t.co/fhywvkaxMA (Spain)
James Hamp, Head of Data Strategy & Analytics for Foreign Exchange, Citi and LSE DSI Visiting Fellow (UK)
Petter Kolm, Professor, NYU Courant Institute School of Mathematics, Computing, and Data Science (USA)
Luitgard Veraart, Professor, Department of Mathematics, LSE (UK)
Chair:
Johannes Ruf, Professor, Department of Mathematics, and Deputy Director, Data Science Institute, LSE (UK)
Moderator:
Hilary Till, Principal, Premia Research LLC and Member, @BrettonWoodsCom AI Working Group (USA)
Further information on the LSE DSI website is here: https://t.co/l0g758rw0M.
#AI #ML #QuantitativeFinance
📄 Full Broadcom $AVGO earnings preview here: https://t.co/A6R79nf8sO
Built with Claude Cowork + https://t.co/lRBSguz0YZ — every claim hyperlinked to its source. What angle would you add?
Quantum computing is having its AI-2020 moment.
• $17.4B market in 2025 → $86.4B by 2034 (20.8% CAGR)
Full sell-side thematic report on Quantum Computing in under 5 minutes using Claude Cowork + the official Bigdata plugin👇
https://t.co/DPEqGZvknx
We tasked Claude with writing a 2,000-word sell-side initiation on NVDA - once via standard web search, once powered by the @bigdatadotcom MCP Connector. Then we asked Claude to judge both outputs.
Less than 2 weeks to go. ⏳
Exponential London 2026 | 3 June | London
AI meets finance. Invitation only. Spaces filling fast.
👉 Request your invite: https://t.co/cCkkG38YsS
Excited to announce that XA Investments LLC has launched YOGI - a proprietary GenAI research tool built on @bigdatadotcom and powered by RavenPack, designed to transform how asset managers analyze competitor funds and design new evergreen products for the private wealth marketplace. https://t.co/uVPibrSmtI
We're all about bringing trusted content to those building with AI in finance - and today, we're proud to announce that RavenPack has partnered with @washingtonpost.
One of the world's most respected newsrooms is now live on @bigdatadotcom, giving enterprises real-time access to award-winning journalism, structured and ready for AI.
NEW: We've partnered with @RavenPack to provide organizations with licensed access to The Washington Post's trusted, high-quality journalism via https://t.co/xHSmSgs9pu.
"At The Washington Post, we are focused on extending the value of our journalism into high-impact enterprise use cases while maintaining the integrity of our content and user experience," -- Shawn Polk, Global Head of Content Licensing at The Post.
More ⬇️
https://t.co/fG1AgIxQC6
I'm pleased to share that @fiscal_ai has partnered with Bigdata by @RavenPack.
Investment research has become agentic and high quality financial data that is linked to the source filing makes it real.
Now covering 13,000 companies across US, Canada, UK and EU, Fiscal AI provides better & faster data infrastructure for Bigdata to serve their customers.
We ran the same 8 financial research tasks twice in Claude. Same model, same prompts. The only difference: web search vs. structured financial data via @bigdatadotcom .com MCP. Claude with https://t.co/2AJL5RDWAp MCP won all 8.
https://t.co/6c1gP50LQm
🚨 Speaker announcement: Exponential London is 4 weeks away and the lineup is 🔥Top minds in finance & AI. One room. June 3rd, London. Spaces are filling fast. Request your invite 👇 https://t.co/uVUAAtHBcg
Excited to take part in the Málaga Tech Games for the 4th time this weekend. Sport, competition, and the best of Málaga's tech community all in one place.
RavenPack is ready. Let's go 🙌
We built an Iran geopolitical risk monitor where Claude constructs each panel and grounds entirely in https://t.co/2AJL5RDWAp MCP data. Country-level exposure and causal analysis, with full source attribution.
Share buybacks are one of the most persistent flow signals in equity markets and most teams are still tracking them by hand.
We built a better way.
Connect Claude to the @bigdatadotcom MCP + Financial Research Analyst Skill, and your analysts can generate a structured buyback intelligence report from a single prompt.
Dates. Filing amounts. Company rationale. All sourced from 8-Ks, press releases, and earnings transcripts, in minutes.
https://t.co/A0bdSa6oao
The RavenPack × WorldQuant Data Creation Challenge has officially closed.
Thank you to every participant for your commitment and ingenuity. We look forward to sharing the results.
@rbccm partnered with RavenPack creating a scalable GenAI foundation that equips their teams with the right tools, the right guardrails, and real, quantifiable results.
The numbers speak for themselves:
- Complex client inquiries that once took hours (or even weeks) now answered in real time
- Earnings release analysis cut from up to 120 minutes down to seconds
- Analyst coverage capacity increased by double digits
- Company analysis that took 60 minutes per company per quarter, across 1,000+ companies, now takes mere seconds
- Up to $1 billion in AI-driven benefits identified