In the realm of digital innovation, I am sure you have heard or read about the importance of using a Minimum Viable Product (MVP) to help validate your business idea, your app or even specific features. The challenge a lot of first-time entrepreneurs have is working out what to test in an MVP and when to do it.

Excited to share that Gravitywell (a company I have recently started advising) recently announced it's new rebrand and seized the opportunity to call itself Bristol's 'Venture Studio'.

Venture studios have become in vogue in the US over the last few years (High Alpha, Betaworks and Science, Inc are just some notable examples), but what does the team at Gravitywell mean by using that label to define its offering?

Whilst diving into AI and reading up about its uses and applications, you are going to come across a load of jargon — but for those of you who are new to AI, let’s start right at the top with Artificial Intelligence (AI) and Machine Learning (ML). These terms get tossed around a lot, sometimes interchangeably, but they're not identical twins. So, what’s the difference?

It's the end of the day and I have been playing… I mean, working hard researching various AI tools for a client. I've already spent a lot of time with ChatGPT, Dall-E, Notion’s AI, Google’s Bard, all to help me and my clients in being more productive in day-to-day tasks. I recently trained ChatGPT to write like me. It's not 100% there yet. It still lacks the little human nuances and touches, but I tell you what, it's pretty damn close (so, can you work out if this post is authored by me or ChatGPT?).

Let's dive into one of my favourite topics today - Unearthing your Business WHY. Now, you may wonder, why does this even matter? Surely the reason a business exists is to make money? And though generating cash is obviously extremely important, you’re unlikely to get your team excited or your customers bought into your brand if your entire raison d’être is to make money. You need more than that.