Tag: Machine Learning (ML)

COVID-19 has drastically and irrevocably changed the way that the world works. Even as South Africa moves forward into semi-normalcy, the looming 'fourth wave' reminds businesses of the need to remain agile, embrace remote working policies, and lean on technology that drives productivity even as traditional working cultures fall away.

Business Intelligence (BI) has undergone significant transformation in recent years and certainly is not being superseded by artificial intelligence. In fact, it has become more efficient and user friendly since moving to the cloud, utilising AI and machine learning, and its embedded implementation.

We have announced new research into the CFO 4.0, which reveals that the manufacturing CFO will play a critical strategic, innovative and financial role in the business moving forward.  The study, which was conducted in July to September 2021 and assessed the sentiment amongst senior level Chief Financial Officers within manufacturing sectors across the Americas, APAC and EMEA.

A few months ago, intellectual property officials in South Africa became the first in the world to award a patent that names an artificial intelligence (AI) as the inventor of the product. The moment was a triumph for Ryan Abbott, a professor at the University of Surrey who has for years led a battle against patent offices around the world to recognise artificial intelligences as investor.

The pandemic accelerated an existing trend toward widely distributed workforces, set in motion by growing globalisation and digitalisation. This creates a number of challenges for companies in terms of managing these dispersed employees.

The emergence of Kubernetes and containerisation is arguably more important for the evolution of computing than virtualisation about 15 years ago. It is poised to see massive uptake in the coming years, providing an attractive skills investment for those looking to future-proof their careers, while giving businesses a massive competitive advantage in the shape of cost savings, availability, flexibility, and portability of infrastructure.

Traditionally, cybersecurity entailed a reactive approach where organisations used learnings from previous compromises to improve their defences. With technology evolving and people embracing the likes of mobile wallets, banking apps, and other solutions to manage transactions, businesses must rethink how best to bolster anti-fraud mechanisms. The answer lies in artificial intelligence (AI).

By now, decision-makers have realised the importance of data in driving businesses towards a digitally-based future. It is therefore surprising that the concept of the knowledge economy has largely been ignored. And yet, this will be the foundation on which modern organisations will be built.

‘Line of sight’ in the supply chain has taken on a new meaning in the age of Artificial Intelligence (AI) and Machine Learning (ML). Rather than simply tracking stock movements and using this data to attempt to influence the end consumer to buy a product, there is now massive investment in trying to ‘own’ the retailer from a data perspective.

Auditable AI provides the documentation and records necessary to pass a regulatory review. With novel artificial intelligence (AI) applications multiplying like rabbits these days, it may seem like the current wave of AI innovation is all beer and skittles.