. When we founded Aigentec last November I made some very deliberate decisions about the use of AI in the company. As a business whose entire mission is to make AI accessible, secure and cost-effective for other businesses to help bridge a growing divide between large scale enterprise with seemingly infinite resource , expertise and mature strategies, and small businesses who are struggling in many cases just to keep the lights on, it was important that we not only could demonstrate our beliefs in the products we built, but that the entire company was built on the technology and benefits we believed in.
I am entering my 40th year as an IT professional, after starting life as an application programmer on ICL mainframes in the late eighties when punch cards we still a thing, I've been fortunate be at the centre of many transformative digital technologies. Designing and Building award winning solutions for the NHS, helping build and deliver the UKs most visited website during the .com boom and even building incredible VR experiences. Throughout, one thing has been a constant. The speed and quality in which individuals, businesses and organisations can transform raw data to actionable insights has been critical in their success.
There's a lot of noise about AI, Agents, and AGI and much of it is fuelled equally by fear and over excitement, but when you peel away the layers, AI , and specifically ML and Data Science have dramatically improved both the speed and quality of data-to-knowledge transformation in the last decade and as result is now presenting opportunities and of course challenges which previously were too complex or too expensive to surface. The world is changing rapidly as result, new businesses are forming, old businesses are changing course, and the rate of change is increasing all the time.
Smart businesses realise the only way to navigate this rapidly change landscape is embrace the very tools and superpowers that are at the very root the change. AI, ML and Data. They now recognise that data is quickly becoming the lifeblood of their operation and making sense of it through insights that change outcomes is no longer a nice to have but should be a core part of their strategy.