Our proprietary machine learning engine, the only one powered by fractal science, makes the adoption of machine learning a lot more efficient. As a science, it lends itself to smaller data sets for high yields of learning and lighter infrastructure for deployments, making machine learning more affordable for businesses and easier and faster to deploy.
In today’s age of data explosion, businesses encounter the challenge of extracting value from the burgeoning unstructured data in the enterprise environment. The current goal of every enterprise is to segregate data with similar traits and classify them into clusters to make the best use of it. With the digital wave taking over, Machine Learning is proving to be particularly strong in solving the classification and clustering of data challenges. Machine Learning is being leveraged to make pattern-based decisions to automate processes and augment the accuracy of data-driven tasks.
One of the largest Title Insurers in the world set out to look for an intelligent automation provider to achieve its very data intensive goals. This company facilitates and streamlines real estate transactions by providing comprehensive title insurance protection and professional settlement services. One of their processes involved generating a title report after examining close to 49 different types of documents related to a property, in order to evaluate the chain of title sanctity. The daunting challenge was that the documents to be examined were highly unstructured documents - rendered not automatable with traditional OCR. To compound issues, the documents contained poor quality images due to dated records. Experienced examiners had to scrutinize documents using a highly recursive examination process resulting in very high handling times. These examiners had to go through intensive training before they could generate a title report.
After a careful assessment of technologies by the client, AntWorks fulfilled the requirements of the client with its novel platform, ANTstein powered by fractal science. The platform enabled the automation of the process by collecting and analyzing more than 1000 data elements to support improved decision making. Additionally, the solution could be trained to turn data into meaningful insights in either a supervised or adaptive mode.
هذه القصة مأخوذة من طبعة November 2018 من CIO Review.
ابدأ النسخة التجريبية المجانية من Magzter GOLD لمدة 7 أيام للوصول إلى آلاف القصص المتميزة المنسقة وأكثر من 9,000 مجلة وصحيفة.
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هذه القصة مأخوذة من طبعة November 2018 من CIO Review.
ابدأ النسخة التجريبية المجانية من Magzter GOLD لمدة 7 أيام للوصول إلى آلاف القصص المتميزة المنسقة وأكثر من 9,000 مجلة وصحيفة.
بالفعل مشترك? تسجيل الدخول
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