AI

AI, Executing, Investors, Strategy

The Coming Storms for Technology Users

In today’s interconnected world, the escalating trade tensions between major global powers are creating ripples far beyond the immediate tariff impacts. While much attention has focused on disruptions to technology hardware manufacturing, the long-term implications for everyday technology users are only just beginning to surface. These emerging challenges are the gathering storm clouds on the…
AI, Entrepreneurs, Investors, Strategy

Who Owns and Controls What Technology?

The Art of Building Your Business on Third-Party Technologies In today’s fast-paced business environment, leveraging third-party technologies through APIs and interfaces has become a popular strategy for rapid market entry. This approach is particularly evident in the current AI application boom, allowing businesses to innovate quickly with minimal capital and technical expertise. However, this convenience…
AI, Executing, Management, Strategy

Why Drive Straight into a Traffic Jam?

It’s a traffic-Jam in the making, and hiding in plain sight. The Cloud computing landscape is undergoing a seismic shift, one that can upend the carefully laid plans of UK SMEs who have come to rely on its seemingly limitless capacity, flexibility and predictability. The foundations of Cloud infrastructure are being stress-tested in ways few…
AI, Organisation

Can AI Do a Shakespeare or Only Lucky Hallucinations?

The question of whether machines can replicate the creative genius of a William Shakespeare is intriguing and contentious. How do the nuances of creative genius stack up against lucky hallucination? Can systems ever be trained to achieve genius? Creative Genius vs. Lucky Hallucination Creative genius is often attributed to individuals who produce works of exceptional…
AI, Investors, Strategy, Trend Spotting

Does AI have a Best Before date?

Irony or prescience? On July 24, 2024, as tech stocks plummeted in a sudden AI-related market rout, researchers from the University of Cambridge and the University of Edinburgh published a groundbreaking study in Nature. The paper, titled “AI models collapse when trained on recursively generated data,” revealed a critical flaw in the development of artificial…