Tag: Machine Learning (ML)

When the cost of failure is high, when lives could be at stake along with massive investment, how does one calculate verifiable outcomes? Artificial intelligence (AI) is all very well when dealing with probabilities, but sometimes only certainties are good enough.

Despite AI’s incredible advances, human connection rooted in empathy and proficiency to address and exceed customers’ needs is irreplaceable. No matter where you look, someone, somewhere is discussing artificial intelligence (AI) right now.

In the ever-evolving digital landscape of today, where data stands as the new currency, the demand for skilled data management professionals has become ever apparent. As a critical, ethical, legal and operational concern in modern business, data protection and management are essential for maintaining business continuity.

It’s time for Small and Medium Enterprises (SMEs) to recognise that using data and analytics is not as scary or expensive as they may think - and that the benefits can be significant.

The global economy is facing challenges on many fronts, with inflation and recession becoming the words of the day. As a result, budgets that are always tight (like IT) are under even more scrutiny than before. Any unnecessary spending needs to be curtailed, for obvious reasons, but does data management fall into this category?

Today’s digital technologies create vast quantities of data, which is where opportunities for improvement lie. However, much of it goes unused. In fact, the average plant uses only 20% of the data it generates.

Amid a flurry of fast-tracked digital transformation initiatives over the past few years, hyper-automation has emerged as an essential approach in the drive toward operational efficiency and seamless customer experiences. For companies seeking to counteract the disruptive effects of the pandemic and its ripple effects on global supply chains, hyper-automation can ease the burden that repetitive processes and legacy infrastructure place on organisations.

There’s no doubt that the rise of our digital landscape has resulted in some incredible tools for businesses. These have opened global marketplaces to even small enterprises and made actionable data analysis more accessible. Artificial Intelligence (AI) and machine learning software continue to improve data integrity and efficiency.

South African businesses need to be efficient, nimble and resilient to thrive in a landscape characterised by economic uncertainty, rising costs, fierce competition and low growth. Automating business processes is one of the most effective tactics they can use to increase productivity, become more competitive and reduce costs.

As the healthcare industry continues to evolve, the role of data to drive efficiencies and improve patient outcomes has become the core of our industry. To me, we aspire to be like the ridesharing app Uber, enabling access to the best doctors and treatments at the best prices, all while facilitating the optimal healthcare ‘route’ for our members based on their individual lives and economic circumstances.