Data Analytics and Advances in AI

 
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As we’ve referenced in a previous post from last week, the Technology Vision Report from Accenture for 2017 was recently released. In it, they detail the advances of artificial intelligence expected over the coming year. While much of the report focuses on AI as a transcendence of UI (User Interface) through processes such as voice recognition and natural language processing, a few of the advances they discuss are of particular interest to us here at Stratifyd.

New advances in natural language understanding and text based processing will allow for leaps forward in the way we analyze data for a variety of purposes. Our platform already takes advantage of machine learning and natural language understanding to process unstructured data in huge quantities to provide data driven insights to our clients. In the coming months, we are working on advances in our technology that will move our AI to the next level of analysis, allowing it to process more data, understand more deeply, and provide more efficient information.

As AI becomes more prevalent through its roll out into various sectors, mountains of additional information on customers will become available. The ability for data analytics tools, such as Stratifyd’s platform, to quickly analyze larger volumes of data will become not only desired, but also very necessary. The goal of AI is to become invisible, for individuals who interact with it to do so in a natural way. As they do, they will provide more information to companies already hungry for as much data as they can get. AI driven platforms that can track, gather, unify, and analyze this information quickly and easily will become the foundation of dDemonstrating ROI on the investment into AI powered technologies.

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At Stratifyd, we are constantly improving our artificial intelligence to provide more value from data for our clients. As AI advances significantly in the years to come, we will need to advance with it to remain one of the premier data tools on the market. We will push our AI and our machine learning technology to analyze larger volumes or data faster so that we won’t be left behind as artificial intelligence speeds off into new undiscovered territory.