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Ask an ExpertBig Data Turns into Artificial Intelligence
For years “Big Data” has been used in reference to the three key concepts of data volume, variety, and velocity. So much so that it’s now associated with the advanced methods used to extract value from data such as predictive and behavioral analytics. In turn, this has driven the need to take traditionally siloed data sets and fabricate them into interconnected data points, giving us more insight than ever before.
As a result of this rapid evolvement and a big data analytics market that’s set to reach $103 billion by 2023, we are now experiencing an accelerated need for technologies like AI, machine learning, and deep learning that enable organizations to take an increasingly algorithmic approach to high-level data analysis.
How is AI Making a Difference?
AI isn’t just about efficiency and streamlining laborious tasks. Thanks to machine learning and deep learning, AI applications can learn from data and results in near real time. It offers the ability to analyze new information from multiple sources and adapt accordingly, with a level of accuracy that’s invaluable to business and far beyond human capability. This potential to self-optimize and self-learn means AI can continually compound the business benefits it generates.
What Does AI Mean for You?
While the ability to extract and interpret data has many advantages and opportunities, the emphasis is not only on the quality of the data but how quickly and reliably it can be processed and accessed.
In this eBook, we explore the impact AI is having and how it’s driving the need for higher speeds and better performance. Along with our Kingston experts, we also get the thoughts of key industry figures to gain insight into how AI is changing how we work and live, and how it is putting the technology that enables it under the microscope.
