Getting the most from analytics on the edge
There is much to consider about getting value from deploying AI and analytics at the edge to manage IoT data. Read more here.
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Do you know what your customers are saying about you?
A major UK insurance company used text analytics to categorise complaints.
Why do analytics in a place without electricity?
It’s always worth trying to improve our world and if it can be done thanks to analytics - I can’t imagine a better use case.
Changing the game in risk management
What precisely, then, is needed in risk management? Users want a user-friendly interface, so that they can find what they need.
The architect’s role in operationalizing analytics
Innovation comes in all shapes and sizes. Business value though, lies in translating ideas into production.
A healthy intelligence mix for the public sector: Artificial and natural
The public sector is finally changing. Artificial intelligence is gradually finding its way into its administrative structures.
Why innovation may fail in retail
#Amazon forced retailers to find new ways to attract their customers. How can artificial intelligence help #retailers to adress their group?
Digitalisation in banking: Uncertainty and opportunity
I have a clear view on the potential of AI: the true value of AI lies in helping banks to know and understand their customers.
From contactless to bankless: Can your bank survive the money revolution?
It’s imperative that banks embrace technology - driven changes, break down barriers to change and disrupt themselves digitally.
“Please wait while we find the best quote for you.”
How to address insurers' challenges by providing AI and machine learning to streamline a customer centric pricing process.