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...
Qlik gains Gartner Magic Quadrant for 14th year
Qlik has been named a Leader in the 2024 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. This marks the fourteenth consecutive year Qlik has been positioned in the Leaders quadrant, based on its Completeness of Vision and Ability to Execute....
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
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 'Vs' - the value...
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 across...
Why we need diverse thinking in the age of AI
Great minds do think alike, but too many homogeneous minds can create hive thinking, which is something we need to move away from as a society. By James Fisher, chief strategy officer at Qlik Social media is a good example of this: it has created an intellectual...
SAS adds packaged AI models
SAS has introduced lightweight, industry-specific AI models for individual license. "SAS is evolving its portfolio to meet wider user needs and capture market share with innovative new offerings," said Chandana Gopal, Research Director, Future of Intelligence, IDC....
The future of transportation is being transformed
The global transportation industry, while still expanding, faces a slowdown attributed to various factors, notably the enduring impacts of the pandemic. Despite this, projections anticipate significant growth, with the industry expected to reach a value of...
How to maximise the value of data analysis
In a world flooded with data, the ability to effectively apply this vast resource is a defining factor for business success. However, merely possessing reams of data is insufficient; businesses must strategically apply it towards sustainable growth and achieving their...
How to manage data governance in the era of AI
As artificial intelligence (AI) becomes increasingly integral to business operations, data governance is important to ensure the ethical and effective use of the technology. Petrus Keyter, data governance consultant, and Willem Conradie, chief technology officer of...