Features
In today’s fast-moving tech world, customer and user data is no longer optional, it’s essential. How a business interprets, contextualises, and applies this data often determines whether it accelerates or stalls. The companies that succeed are those that don’t just react to change, but anticipate it through intelligent, data-led decision-making.
In the world of sports and entertainment travel, where customers are investing not just their money but also their dreams of unforgettable experiences, trust is everything. Trust is something you cannot place a value on, it’s the foundation on which long-lasting customer relationships are built. Without it, even the most sophisticated booking systems or flashy marketing campaigns fall flat, particularly in an industry where competition is rife.
Once an afterthought in most transactions – except in pure technology acquisitions – intellectual property (IP) is moving to the centre of deal-making. Software, data, and AI shape nearly every product and service, and the know-how, data sets, and IP rights behind them increasingly determine whether a deal delivers its growth story.
Running a small business is rewarding, but demanding. From serving customers to managing cashflow and dealing with economic uncertainty, you are constantly juggling different demands and roles. The daily grind can also make it easy to forget about your accomplishments, and our latest research shows fewer than half (43%) of small businesses regularly get the opportunity to pause and celebrate their wins.
Small and mid-sized businesses have always won on something enterprise giants can’t copy: the personal relationship with their customers. But now those same customers expect AI-powered experiences as part of the service, and the tools on the market are built for companies with entire AI teams, six-month budgets, and enterprise-scale infrastructure. SMBs can’t afford to build that, but they also can’t afford not to have it.
Launching a startup is a balancing act. You’re driving product development, fundraising, sales, and recruitment, often simultaneously. But for many non-technical founders, the most challenging area isn’t fundraising or sales. It’s building the product itself, especially when outsourcing to software consultancies.
Ask any AI founder what keeps them up at night, and you’ll hear many of the same stories. Hidden infrastructure costs that blow up the burn rate without warning. Waiting weeks, or even months, for GPU capacity to come online. Scrambling to navigate compliance requirements that feel like a full-time job. These aren’t abstract problems. They are everyday hurdles that can delay product launches, frustrate investors, and stretch teams thin.












