Despite significant investments in AI, a 2025 crisis reveals that most organizations face an “AI execution gap,” struggling to achieve results. Research indicates 60% of AI projects will fail by 2026, often due to weak data foundations rather than technology. Addressing data challenges is vital for successful AI implementation and outcomes.
Learn more about the metaverse and analytics, digital transformation, and business intelligence with my keynote at BI Innovation & Tech Fest on 26th- 27th September in-person + live-streamed, in Johannesburg.
Data strategy can help your business avoid a single point of failure. Let’s take a look at how we can avoid a single point of failure of Facebook proportions, why they happen, and how your organisation can avoid them.
Businesses can lose their ‘North Star’ when navigating Business Intelligence, Artificial Intelligence or Analytics projects. In this post, Jen Stirrup discusses how to find your way back to the North Star.
As businesses try to survive or take advantage of changing markets amid COVID-19, what role does data play in mergers and acquisitions?
The Grand Old Duke of York sent his vast team halfway up the hill, and they were neither up nor down; they did not know where they were going.
Power BI is traditionally seen as a challenge to data governance strategy. But it may also let us see data governance in a new light.
This is a rundown of all the basics of data governance: what it is, why businesses should prioritise it, and how it can be implemented.
How can data scientists get on board with metadata management? What Can A Good Metadata Management Strategy Do For Data Scientists?
Guest post by Elizabeth Hannah on her recent visit to the Evidence-Based Library and Information Practice Conference in Glasgow, 2019.
Jen Stirrup discusses the different ways in which the insurance industry can recognise, understand, and tackle crime.