Tag: automation

The next three years do not look like the new normal they look like the never normal. It is not a pessimistic way of describing it but a realistic way, and it means that we need to think long and hard about planning and strategy and execution. There will be a lot of strategic thinking wastage over the next three years, and in our view, we cannot spend enough time studying how people are thinking and how they are reacting to the Coronavirus Covid-19 pandemic, the economy, and technology.

The insurance industry needs to get ready for ‘Insurance 3.0’ – the next stage of evolution for the industry to accommodate the changes brought on by our current pandemic. But wait, aren't we still trying to reach level 2.0? Yes and no.

Following the endless stream of COVID-19 headlines, extended lockdowns and associated economic hardships, we are all suffering from Armageddon fatigue. It is easy to become pessimistic in the face of the very real challenges we are grappling with.

To leverage data and automated communications, marketers have to embrace responsible personalisation. With consumers and businesses alike becoming ever more dependent on digital products, services and partnerships, our digital footprints are growing exponentially.

This year, open source will become even more fundamental to the success of companies as they transition to fully-fledged digitally-led businesses. In the coming months, proprietary software will lose relevance as local organisations start embracing the likes of the cloud and containers to deliver value and capitalise on growth opportunities.

Digital marketers need to be on their toes this year as a range of new tech tools takes hold and consumer behaviour moves ever faster towards instant communication and results.

Artificial intelligence (AI) provides banks with the means to make better use of the massive amount of data at their disposal. In doing so, they can identify opportunities for growth faster and gain significant competitive advantage at a time when more agile digital counterparts are emerging.

To get real value from data science, organisations must operationalise their data and productionise their AI models. Once these two key problems are solved, enterprises can expect to accelerate their data science projects to the point where they are seeing major innovations in their operations - but what exactly do the terms mean?

In 2020, technology is set to continue transforming organisations and skills needs are evolving rapidly. As organisations focus on sustainability, relevance and sourcing and retaining talent, job seekers will need to focus on learnability and skills development.

The 4th Industrial Revolution (4IR) is gaining traction in all sectors. Artificial intelligence (AI), robotics and automation are being applied to create ingenious innovations – advancements aimed at making life easier, improving productivity and speeding up the evolution of industries.