The use of AI in manufacturing is transforming the industry. How do AI technology and data insights fit into this trend? Vice President for SAS in the Nordics Keld Zornig sat down with Pasi Helenius, Manager for Customer Advisory Commercial and Manufacturing Nordics, for a talk on the topic of
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A recent survey by Forbes found that 73 percent of organisations are already piloting, experimenting or planning to deploy artificial intelligence (AI) algorithms. AI is driving a transformation across industries. In banking, for example, natural language processing is being used to explore sources of unstructured data such as customer comments,
Businesses have to make a profit. This is, if you will forgive the pun, the bottom line. It is the reason why businesses exist, and it is the most important, if not the only reason, why any business does anything. Profitability really is king. Transforming the banking sector Hold that
On July 25th 2017 a new index tracking global crowdfunding and marketplace finance trends was launched. It aims to become the new barometer for the alternative financing market, which gives some idea of the importance of this area at the moment. There is potential for serious capital market disruption. But just
In SAS, we say that we give our customers the power to know and knowledge is indeed power. However, winning the game depends on the execution of that knowledge– and analytical insight is worth nothing if it does not spur innovation and actions towards strategic business goals. Take Customer Intelligence for
The holiday season is upon us again, full of exciting events and related expenses. When important events happen, seasonal or in life in general, many of us tend to spend more money than at other times. From births to weddings and funerals, so many things happen in our lives that
Disruptive innovation—the big changes in an industry or sector that occur when someone or something turns the whole business model on its head—have huge implications. Big data is likely to be one of those disruptors. So are your big data skills disruption-ready? These following aspects will guide you to verify