Features
As the saying goes, ‘there’s no need to reinvent the wheel’. If there’s a product or service on the market that already does its job well enough, then launching a competing solution might see you enjoy some success – particularly if you can improve or tweak it enough that you attract clients to your business rather than others.
Controversies over data, intellectual property, and licensing go hand in hand with generative AI (GenAI). The machine learning algorithms used by GenAI models require data to identify patterns and interdependencies that enable them to generate suitable responses to prompts. Therefore, volume and data quality are fundamentally important to the effectiveness of AI models.
The year kicked off with an earthquake rattling the foundations of AI. Deepseek’s sudden arrival demonstrated there are multiple avenues in the advancement of super intelligence and drew the movers and shakers to weigh up software/algorithms versus banking on increases of model complexity or computational powers.
We hear it constantly: automate, optimise, accelerate. Organisations across the globe are throwing themselves into workplace AI, chasing productivity and advantage. But as we embed these systems deeper into our businesses, we need to ask a harder question: what happens to the human heart of the workplace?
British Business Bank’s Start Up Loan is a government-backed personal loan for business purposes that is available to individuals looking to start or grow a business in the UK. It has provided support to aspiring entrepreneurs across the UK. In addition to the finance, successful applicants also receive 12 months of free mentoring and exclusive business offers which can help them succeed in their journey.
It is widely forecast that robotics will have a significant impact on businesses and the future workforce. Not least, predictions of widespread job losses supported by a populist narrative of “robots taking over” have captured public opinion. This image continues to negatively impact the adoption of robots, particularly in the UK, and may impede the achievement of the true benefits, not only across many industry sectors but throughout society.
Across the world, numerous organisations operate as startup accelerators or incubators. These are often affiliated with universities, backed by governments at various levels, or sponsored by large corporations. Their primary objective is to support and nurture innovative new businesses. Large organisations frequently reach a scale where rapid innovation becomes challenging, making startups a vital source of new and groundbreaking ideas.
The government’s Making Tax Digital (MTD) scheme for Income Tax Self-Assessment (ITSA) is set to come into effect next April 2026, and whilst that might seem a while away, sole traders should start planning now to minimise any financial strain. The crux of the initiative is in its name; the government is making all tax reporting and filing a digital process.
I was diagnosed with ADHD in my late 20s and putting a name to something I always struggled with was such a relief.
You see, I wasn’t failing. I had a thriving business, managed a team, powered through a to-do list that never seemed to end. But under the surface, things felt harder than they should. I was constantly overwhelmed, mentally drained, quietly wondering why everything took so much out of me.
Over my 30 years of experience buying and selling businesses I’ve gained a deep insight into what buyers want when they look for a company, and I’ve come to the conclusion that there are several factors that they take into account. Specifically, I refer to these as the 10 drivers of business value, and of the most important drivers is high customer loyalty.
UK startups are facing one crisis after another, from the lack of investment opportunities and access to talent, to economic and political uncertainties, scaling a business is becoming increasingly difficult. A recent report found that Series A funding has slumped £500 million over the past 12 months to March 2025 – hitting a seven-year low.
AI’s reliance on existing material to generate content raises a number of thorny intellectual property issues, both legal and ethical. When sourcing material to complete its tasks, AI does not distinguish between content protected by intellectual property law and content that isn’t. As a result, there is a genuine risk that AI systems could produce infringing material. If your business uses that content, you could face legal action and a claim for financial compensation.







