Analytics is helping to improve the quality of life for people with diseases, and for countless people in less developed parts of the world. It is reducing costs or helping control consumption of energy or managing devices in the home, as well as reducing industrial costs, improving energy efficiency, and making goods cheaper as a result.
Whenever you hear the term artificial intelligence, it really means advanced analytics. For perhaps the first time, analytics is cool.
This is partly the consequence of the amount of data available. But it is only really possible because analytics, too, has changed. It is no longer the privileged reserve of data scientists, sitting in computer rooms crunching numbers on request. Instead, with new advancements like SAS® Viya®, pretty much anyone with a reasonable understanding can do their own analytics.
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There are single, unified interfaces that combine all the steps of the analytics life cycle, making it much easier to access and use analytics. Cloud computing means that solutions and platforms scale to meet needs, which reduces the cost of the initial implementation .
These solutions also have the technical capacity required to analyse millions of data points in stream per second, and this can be done at the edge, in the cloud, in a traditional data centre or within hybrid combinations of all three. SAS Analytics capabilities are secure, traceable, governable and auditable, and work seamlessly with third-party or open tools and languages because of our commitment to open APIs.
Evolution or revolution?
We talk about digital transformation, but I prefer to think of the process as akin to evolution. The availability of data and tools to manage analytics enables those with the right capacity and ability to take advantage: a process of “technical selection,” perhaps. Looking to the future, the IoT systems and artificial intelligence platforms that we create today will become the baseline for the way future generations think about and engage with technology. They will form the foundations for future ecosystems.
This article has been republished with permission from SAS.