Enterprisewide analytics and AI have the power to prepare insurers for a customer-centric future and transform the relationship with policyholders. But will only a handful realise that their current approach to analytics leaves them poorly prepared for the challenge? As I noted in my previous post, success in the new
IDC’s April 2017 white paper Data Age 2025 posits that in 2025 the digital economy will multiply by 10 the volume of data now generated, attaining something like 163 zettabytes. Life-critical data - data captured from devices having a direct impact on human life, for example: autonomous cars, remote monitoring
Blinking, I can barely see what’s in front of me. The sun is shining right in my face. The light is blinding and intense – I realise I have to be vigilant. I do my best to see what’s in front of me because I’m travelling at 60 kmh, and
At the heart of the UK’s 2017 Government Transformation Strategy lies the ambition to “put more power in the hands of citizens and being more responsive to their needs.” Digital technologies, such as AI, can rapidly accelerate this ambition – in fact, they already are in certain government circles. It’s
When we talk about the widespread use of the IoT, we must keep in mind three major aspects organisations are considering when they deploy devices: price (including device and communication costs – data volumes and bandwidth), coverage and power consumption. So the challenge is how to optimise these three key
There is no doubt that we are living in a new era of business intelligence (BI). In this new era, BI is no longer just a way to wrap data into various shiny packages for static visualisation. Instead, BI has started to get its own brain, and this new intelligence
After SAS® Global Forum in Denver, I took a holiday in San Francisco. Like all good tourists, I obviously went to visit the Golden Gate Bridge. While I was walking across it, I noticed a windsurfer getting what I thought was a bit close to the mouth of San Francisco
There seems to be huge concerns about how artificial intelligence (AI) will affect us all, especially replacing human jobs. There is talk about regulation, ethics and requiring companies to retrain those made redundant by algorithms. All this talk, however, has centred on the downsides of AI. What about the benefits?
The excitement about artificial intelligence (AI) is contagious. Our imagination has been ignited to its potential in a wide range of fields. In marketing, however, many have concluded that the hype is just that: hype. There may be potential, they say, but it is far too hard to implement AI
On a recent trip I bumped into some old colleagues from a previous company, and we began to discuss what we were working on and spoke of how quickly – in only a few years – innovation and technology have come on. And this is because innovation waits for no
