Tag: Machine Learning (ML)

Over the past five years, artificial intelligence (AI) and machine learning in marketing have come a long way. Yet many marketers who are using today’s programmatic and social platforms to reach their audience are not exploiting the full power of the algorithms these platforms can offer or the vast amounts of consumer data they collect.

According to a study by Brain & Company, organisations with a Customer Experience (CX) mindset drive a revenue of 4-8% higher than the rest in their respective industries. Having a customer-centric approach is therefore vital for businesses operating in the digital age. Here, data is a key element in driving business operations.

This article discusses the impact of the Protection of Personal Information Act (POPIA) on artificial intelligence or machine learning systems used in the context of the workplace.

Recent global events, specifically the global COVID-19 pandemic, have caused widespread business disruption and transformation, forcing businesses to adapt to new ways of working in an extremely short period.

Digitalisation is impacting nearly every single aspect of our lives. There is not only a rapid adoption of machine learning and artificial intelligence tools, but everyone is becoming more dependent on software, hardware and cloud infrastructure.

The Financial Action Task Force (FATF) released their report on ‘Money Laundering and the Illegal Wildlife Trade’ a topic that has been sitting on the side-lines for a long time, overshadowed by more prominent criminal ventures, such as drug trafficking.

It’s hard to imagine a world without technology – the speed and ease of the internet, and daily innovation that continues to disrupt business models. Across industries, we are starting to notice businesses of all sizes embrace the digital economy to create value, increase efficiency, and adapt to stay ahead of competitors.

As companies increasingly invest in new technologies, one thing is clear: technology is everywhere, but value is not. The return on investment (ROI) is not as expected. According to new research that we have released, today’s business leaders are deploying new technologies in pockets, or silos without effectively scaling them across the organisation to realise the full benefits.

Based on our 2020 experience, new year predictions may seem like a game of make-believe. But predictions are one thing, trends are another. We share technology insights into 2021 based on emerging trends. COVID-19 shocked all businesses last year. However, enterprises are becoming used to the new normal and digitisation should return to previous levels of growth in 2021.

While some may have viewed 2020 as a write-off, the technology sector has seen a massive upswing. As a result of forced, mass digitisation, 2021 promises to be a fruitful – albeit challenging – year for technology. Globally, there are three key predictions that could shape success in the year to come.