Automated credit decisioning systems do work... but who do they work for? We take a short but satisfying tour of automated credit decisioning use cases in our latest blog post. bit.ly/42PLodI

❗Have you saved your spot at our latest virtual Meetup? Valentina Pyatkin (postdoc researcher, Allen Institute & University of Washington) will be speaking next Thursday at 6:30pm GMT on 'TÜLU 3: Pushing Frontiers in Open LM Post-Training'. Find out more & RSVP: meetup.com/london-machine…

An 'underrated' financial ratio might: 🔢 Be overlooked for other financial ratios. 🔢 Yield deeper or more unique analysis. 🔢 Have more predictive power. Here are 3 underrated financial ratios + our insights about using AI to speed up ratio calculation. bit.ly/4b61GRP

⚙️ Join us at the London Machine Learning Meetup later today. Valentina Pyatkin (postdoctoral researcher at University of Washington and Allen Institute) will speak on 'TÜLU 3: Pushing Frontiers in Open LM Post-Training'. Don't miss out - register here: bit.ly/3QrwliQ

🗓️ We're excited to announce that the next virtual London Machine Learning Meetup will be on Wednesday 26th March. The Meetup will feature a talk by Ali Behrouz (Ali Behrouz) (PhD, Cornell University) on 'Titans: Learning to Memorize at Test Time'. RSVP: bit.ly/41tvBid

Spoiler: yes it can. In our latest article, we explore the what, when and how of ChatGPT's ability to read and generate Excel files. bit.ly/41IAfu3

✅ Pros: free and fast. ❌ Cons: hallucinations, potential security concerns and do they really save time? bit.ly/4bvpH55

We pass the 🎤 over to Lee Trett (Mortgage Adviser & Director at Echo Finance and Teito), who shares his experiences with the evolving mortgage brokerage technology landscape. bit.ly/3FxHnBa

Automating debt ratio calculation does *not* mean uploading your financials to ChatGPT. Everything you need to know about computing the debt ratio. Right below ⬇️ bit.ly/3R9Qjip

⚠️ Have you registered for the latest virtual London Machine Learning Meetup? Featuring a talk by Ali Behrouz (Cornell University, Google AI) on 'Titans: Learning to Memorize at Test Time', don't miss the chance to join the discussion next Wednesday. bit.ly/41tvBid

'One of the main misconceptions of diversification is that it can compensate for a lack of financial literacy.' We delve into (delusional) diversification and the features of fundamental analysis in our most ambitious article yet: bit.ly/4kSrSUl

Is OCR the latest innovation to be swept away by the AI tidal wave? We take a microscope to OCR's shortcomings and discern whether AI is a worthy alternative. bit.ly/4j08rrd

🗓️Happening tonight! This next virtual London Machine Learning Meetup will feature a talk by Ali Behrouz (Ali Behrouz) (PhD, Cornell University) on 'Titans: Learning to Memorize at Test Time'. Come and join the discussion: bit.ly/41tvBid

'AI is great. But human beings are far greater than AI.' We sit down with Subhash Ghosh (subhash r ghosh) (Technoplat, #TechTuesdaysUK), who shares his insights on the role of AI in tech incubation, DeepTech and the relationship between AI and ethics. Read now: bit.ly/4c2dhBH

Thanks to Ali Behrouz (PhD, Cornell University) for speaking at last night's London Machine Learning Meetup on 'Titans: Learning to Memorize at Test Time'. The recording is now available. Thanks also to our moderator Ziqi Wang (Ziqi Wang) (PhD, University of Illinois). bit.ly/4iIoHgx

Join the London Machine Learning Meetup on Wednesday 16th April, as Max Bartolo (Max Bartolo @NeurIPS2025) (researcher at Cohere) gives a talk on 'Building Robust Enterprise-Ready Large Language Models'. RSVP: meetup.com/london-machine… Thanks to Man Group and ArcticDB for hosting!

Another great London Machine Learning Meetup earlier. Many thanks to Max Bartolo (Max Bartolo @NeurIPS2025) (researcher at Cohere) for the fascinating talk on 'Building Robust Enterprise-Ready Large Language Models'. And thanks to Man Group and ArcticDB for hosting.

Last month, our content lead, Miranda, penned a piece for Built In exploring long-thinking AI - an AI model designed to prioritise analysis and accuracy over speed. Read the full article below: bit.ly/3FM1JGZ

Using financial statements as a point of reference, we delve into the differences between *sensitivity* and *scenario* analysis. bit.ly/3RXGW5L

How do you ensure that your data is safe and accessible during valuation? AI seems a good place to start. Check out one of our latest blog posts below ⬇️ bit.ly/44qk6v4