The banking sector sets a benchmark for other industries in many areas. When businesses need to process large volumes of transactions reliably, maintain 24/7 availability, meet complex regulatory requirements, analyse risks or make financial plans, they often aim to follow the same practices and adopt the same technologies that banks
Analytics does not remove the need for reliable procedures, or well-trained staff—but it improves the monitoring of both.
SAS is underpinning this powerful combination of SAS and IBM infrastructure to optimize the analytics life cycle.
To respond to these demands the Police service will need to adapt and use every potential technology to support their officers in this unprecedented time.
As many individuals and organisations are finding out, today’s supply chains are incredibly long and complex. Goods can cross many borders, often several times, to complete a final product. Most of the time, as consumers, we don’t know or care about such issues. However, the coronavirus crisis and concerns around
To achieve this kind of Intelligent Decisioning across hundreds of thousands of customer accounts, you can’t rely on manual analysis.
The analytics lifecycle and transition requires unique skills, such as programming and modelling. I think telcos don't have enough analytics experts.
Few of us expected to experience problems with retailers during the lockdown. Most people have, after all, been happily buying online for years. Why would anything change just because some physical shops closed for a while, or some people could not go out? However, the challenges went a bit deeper
In recent years, we have seen huge changes in the areas of logistics and supply chain management. And it is no exaggeration to say that those are only the tip of the iceberg. These changes are the result of a number of factors coming together. Arguably the biggest trigger for
Adoption of the Artificial Intelligence of Things has never been more relevant for both industry and governments. A recent study by IDC and SAS found that a significant predictor of organizational ability to deliver value from the IoT is the use of AI. This is likely to become even more
