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“If we talk about statistical significance, coaches just don’t care. But if we translate that data and insights into their language, that’s how we bring data to life. Because I actually believe in the coach’s eye and expertise. They are analysts, they are scientists, they just don’t know it. They’re doing it with their eye, they just can’t quantify it.”
This quote comes from a Guardian article, linked below, and we’re big fans of the sentiment behind it.
A big part of our work is to demonstrate, in language everyone understands, how AI can extend the capabilities that a team already has. It’s not that individuals and teams have been doing things ‘wrong’ in the past; it’s more that there’s now an opportunity to do more interesting things in more effective ways – to connect insights and operations to deliver value.
Done right, AI (and particularly agentic AI) becomes a teammate you enjoy working with and not just a means to an end.
In many ways, that’s why we’ve revamped our newsletter; so that’s a useful and interesting resource, and not just something that clogs up your feed or inbox. Let us know what you think.
Phil, CEO
AI in business
- Not so much ‘do fries go with that shake’ as ‘do chips go with those tacos’: Taco Bell partners with Nvidia to revolutionise fast food with AI. (4 mins)
- Robot rugby may be a way off but art of coaching is making way for science. (7 mins) (And, yes, rugby is a business!)
- HBR’s latest issue features a genuinely insightful article on AI’s growing influence in the supply chain. Something that struck us is that the article focuses almost entirely on generative AI – mainly through a Microsoft LLM case study from 2023 – and makes no mention of agentic AI, which is a hot topic (and not just for us). Still, it’s a good read. (23m)
- If you want to know more about how we use agentic AI, our own Ritwik Moghe shared a good overview here. (4 mins)
- We’re big fans of Professor Ethan Mollick, author of Co-Intelligence and a true authority on AI. In a new piece of research he contributed to, based on an experiment done with 776 professionals at Proctor and Gamble, he suggests that AI sometimes functions more like a teammate than a tool, something that resonated with our agentic outlook. It’s an interesting piece of work, well worth checking out. There’s a good overview on Mollick’s Substack. (10 mins) and the paper itself is here.
- And last but not least, Amazon announced its newest AI-powered feature, ‘Interests’. It’s early days for this and other personalised assistants but we found this early take on things interesting, with its core question: Are Amazon’s new AI chatbots worth using? (7 mins)
AI everywhere
- We recently attended a Gartner Tech CEO briefing and here are our key takeaways. (TL;DR: Stop experimenting and start delivering value!)
- Building on the Proctor and Gamble experiment, mentioned above, there is an increasing amount of research on how individuals and teams work alongside AI. A study by Harang Ju and Sinan Aral (both MIT) showed that human-AI teams communicated 45% more than human-only teams and achieved 60% greater productivity (!). The research paper, which is fairly long, is here.
- News from China:
- China’s AI frenzy: DeepSeek is already everywhere — cars, phones, even hospitals. (9 mins)
- China’s six-year-olds are already being offered AI classes in school in a bid to train the next generation of DeepSeek founders. (5 mins)
- Revealed: How the UK tech secretary uses ChatGPT for policy advice (7 mins) (subscription only, but you can access one free article a month without a subscription). This is an older story but what’s interesting is that New Scientist used FOI laws to obtain the ChatGPT records of Peter Kyle, the UK’s technology secretary, in what is believed to be a world-first use of such legislation.
- Doctors Told Him He Was Going to Die. Then A.I. Saved His Life. Scientists are using machine learning to find new treatments among thousands of old medicines Probably the ultimate examples of the power of historic data! Link.
- Earth AI’s algorithms found critical minerals in places everyone else ignored (5 mins). We thought this article was super interesting; a lot of what we offer uses AI to extend the capabilities of individuals and teams, so they can go deeper to find insights and advantages that they couldn’t on their own.
About Predyktable
We’re continuing to grow our technology team and have made some great hires recently. Here we are, on a sunny day in London, on the occasion of our third anniversary. What a great bunch of people!
Thank you for being here! We want this newsletter to be as useful to you as possible, by sharing insights and flagging research you might have missed; let us know if you have ideas on how we can do that better.
Similarly, if you want to help us shape solutions that meet your needs, and the needs of your peers, drop us a line if you’d like to have a chance to see, and feedback on, our ongoing platform development.
See you next month,
The Predyktable Team