What comes next for AI?

What comes next for AI?

In 1980, the Digital Equipment Corporation launched XCON, the first commercial AI, used to optimally select components of computer orders. In 2023, more than 40 years after XCON, generative AI brought computer intelligence into the mainstream. AI has already been...

AI strategies should start with data strategies

As the hype around Artificial Intelligence (AI) continues to gather steam, companies of all sizes and from all sectors are investing in the technology. By Richard Firth, CEO of MIP Holdings According to a Forbes Advisor survey, more than half of businesses are using...

AI strategies should start with data strategies

As the hype around Artificial intelligence (AI) continues to gather steam, companies of all sizes and from all sectors are investing in the technology. By Richard Firth, CEO of MIP Holdings According to a Forbes Advisor survey, more than half of businesses are using...
From big data to better data

From big data to better data

Organisations have traditionally valued volume, velocity and variety as the classic drivers of ‘big data’. However, as we start to explore the promise of increased efficiency and creativity from generative AI, we must also address the remaining two...

Weak AI versus strong AI

From chatbots to predictive analytics, and from recognition systems to autonomous vehicles, AI is penetrating most industries. By Callan Abrahams, principal AI consultant at iOCO Despite the fact that the technology is in its infancy relatively speaking, AI is...

Enterprise AI isn’t about more data – it’s about the right data

Artificial intelligence (AI) promises to transform every aspect of business operations, yet a lot of companies lack clarity on how to get from pilot to full production and value realisation. In today’s digital landscape they struggle with islands of data spread...