In the Loop
What we’re thinking.
Read the latest insights
from the twisted loop team
How Data & AI is Redefining Dealmaking: Who’s Winning and Why It’s Time to Get on Board
In today’s fast-paced, data-rich environment, the use of artificial intelligence (AI) in dealmaking is quickly transforming the landscape. From early-stage target identification through to post-merger integration, companies are leveraging data and AI tools to gain strategic insights, automate repetitive tasks, minimise risks, and create efficiencies. This shift is not only enhancing the speed and quality of transactions but also redefining what it means to succeed in mergers and acquisitions.
A day in the life of our work experience students
Read about how our work experience students developed AI art for use in establishing our brand identity
Developing an AI strategy, the human+ approach - how to get started
The rise of the machines has long been prophesied – even before Schwarzenegger had his say in The Terminator franchise. Today, with the synchronised upsurge in maturity and accessibility of the model / compute / data trifecta, we seem closer than ever to a time where machines will replace humans and run the world for us.
Why AI Adoption will increase your enterprise value
AI brings with it a huge opportunity for productivity gain – whether that’s in freeing up time for analysts where machines can do the heavy lifting in document analysis and review, software companies being able to use generative coding tools, or creative industries using image, music and video generation tools. Whilst adoption of new general purpose tech trends will take time, 65% of Chief Executives believe AI will have a significant impact on their business in the next three to five years – “AI is still likely to change the economy, even if it will not do so immediately.”
What’s in a name?
The journey to find this perfect name was an adventure in itself, full of brainstorming sessions, creative exploration, foreign languages and Greek gods. Our team of five passionate individuals started by throwing around ideas, asking friends and family for suggestions, and seeing if ChatGPT could solve it for us (spoiler alert: it couldn’t). Even if we found a name we didn’t hate, the .com was unavailable, and we were back at square one.