Evolution AI

Evolution AI

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What Is Long-Thinking AI and Why Does It Matter? | Built In 29/04/2025

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.

Long-thinking AI could change how AI is involved in decision-making - read the full article below.
https://bit.ly/3FM1JGZ

What Is Long-Thinking AI and Why Does It Matter? | Built In Long-thinking AI emphasizes a more logical, detailed and analytical approach to solving a problem offering lower hallucinations and more accurate outputs. Learn more.

Investigating Alternatives to OCR for Financial Data 24/03/2025

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.
https://bit.ly/4j08rrd

Investigating Alternatives to OCR for Financial Data OCR (sometimes known as text recognition) is a firmly established data extraction technology. Does it really work? Our latest blog post breaks it down.

'New Technology Has Always Been Driving Change in Mortgage Lending Long Before AI Came Along': An Interview With Echo Finance 17/03/2025

'New technology has always been driving change in mortgage lending long before AI came along.'

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.
https://bit.ly/3FxHnBa

'New Technology Has Always Been Driving Change in Mortgage Lending Long Before AI Came Along': An Interview With Echo Finance We speak to Lee Trett, Mortgage Adviser & Director at Echo Finance and Teito about the role of AI in mortgage brokerage.

3 Benefits and Limitations of Using AI Virtual Assistants for Financial Data 10/03/2025

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

3 Benefits and Limitations of Using AI Virtual Assistants for Financial Data An AI virtual assistant will be successful if it quickly presents relevant, comprehensible data that can be compared with the (original) source.With this framework in mind, let’s examine three benefits and drawbacks of using AI virtual assistants for financial data.

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