From rising operating costs to wage inflation, business leaders are facing challenges on an unprecedented scale. For small and medium-sized enterprises (SMEs) in particular, this is driving the need for more in-depth data gathering, understanding and insight generation to inform smarter decision making and identify cost-saving opportunities. Some might remember
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The more information they have to learn from, the better. Naturally, this will not allow you to predict global pandemics or financial collapses.
While Brexit has distracted us for the past few years, a far more subtle but important revolution has been happening right under our noses. Artificial intelligence (AI) has become a crucial part of our day-to-day. Self-learning machines are embedded in services or devices used by three-quarters of global consumers. And
Since the 1950s, with machine learning, deep learning and cognitive computing developing over time, for some of us AI has been around for a while. What has changed recently is perhaps the sheer volume of data available. This has made it both possible to train AI-based models in a way
Although artificial intelligence (AI) has been around since the 1950s, we are currently riding the peak of the Gartner Hype Cycle. Separating the reality from the hype has therefore become a challenge. There is no question that machines can automate more human tasks than ever before, but with this promise,
How ready is your insurance organisation for the advent of AI? In the summer of 2017 I took part in a pan EMEA review of the readiness of Insurance companies for implementing AI, the full report can be found here: Pragmatic AI for Insurance. Some of the findings were surprising,