The typical approach to digital transformations has led to broken processes being refined. But what we’re doing is different. We’ve taken a design-led and customer-first approach; not looking at technology, but at how we challenge the entire business model.
Clients may trust you with some of the most important transactions in their lives, yet you may barely know them at all. These relationships are engineered by you, the business, and it’s down to you to orchestrate that relationship to provide you with timely, usable data.
On 11th September we unveiled our Artificial Intelligence: Hype vs Reality report. The event, took a deep dive into the findings of the report and the learnings that can be applied across enterprise when it comes to scaling AI adoption. For those who were unable to join us, here is a quick recap and we hope to see you at future events.
In partnership with YouGov, we commissioned a short survey of over 1,000 senior decision makers, including owners, partners, chairpersons and non-executive directors, working across the public and private sectors. The focus of the study is to lift the veil on boards’ attitudes towards Artificial Intelligence and understand the reality of adoption and awareness at executive level.
Thanks to those who were able to join us last week for our first AI event with InstaDeep. This, the first of four events, looked at Scaling AI in the Enterprise and helping business leaders to realise the potential of introducing and scaling AI in their businesses. For those who were unable to join us, here is a quick recap and we hope to see you at future events.
It’s vital to ensure that your AI is kept fit and effective. The first step in doing so is understanding the need to consistently curate your AI models. To do this, you need an effective ModelOps team. AI is evolving quickly and businesses need to ensure that their teams evolve to deliver against business and regulatory needs, whilst empowering their people too.
If you search for the term ‘feature stores’, what you’ll find is, well, not a lot. That’s because feature stores, whilst growing in prominence and importance, are yet to be recognised for the vital role that they play in your data strategy.