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AI integration News
February 11, 2019
StoryFit data scientists employ machine learning algorithms to gauge film script scenarios' prospects. They use Import.io tools to make data preparation easier.
December 07, 2018
Most businesses have yet to feel the full effect of AI, as enterprises labor to determine where and under what conditions the technology can most effectively be deployed.
September 28, 2018
From IT to HCM to sales, AI and machine learning capabilities have been added to a variety of Oracle's offerings through Oracle AI Apps. And the vendor says there's more to come.
August 31, 2018
Box and IBM continue to expand their three-year relationship. As a result, IBM became the first Box AI partner to develop custom AI applications for Box Skills Kit.
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Customer experience is growing more central to enterprises' digital strategies, and AI is increasingly driving much of their engagement and retention efforts. Continue Reading
Implementing RPA to augment your workforce can feel overwhelming. Ditch theoretical application conversations, and read a rundown of one executive's experience implementing RPA. Continue Reading
Technical architect Jason Wynn says the data center is already on the path to a more autonomous future due to the acceleration of Microsoft artificial intelligence efforts. Continue Reading
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The days of simple, linear regressions powering machine learning are on their way out, as newer, more powerful deep learning techniques find a range of enterprise use cases. Continue Reading
AI-driven marketing tools from Peak, an AI and analytics services vendor, has helped apparel seller Footasylum better personalize marketing to customers. Continue Reading
By using Abbyy software and OCR technology, ControlExpert can automatically process and classify millions of structured and unstructured documents and invoices. Continue Reading
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The addition of AI in manufacturing leads to increased workflow -- from design to production. Production plants are turning to technology to supplement the manufacturing skills gap. Continue Reading
Deploying machine learning models requires an entirely different skill set than developing them, and data scientists and engineering teams need to be ready to bridge this gap. Continue Reading
Businesses are starting to implement AI in operations to smooth out back-office processes and streamline repetitive tasks that currently take too much time for human workers. Continue Reading
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Enterprises that are poised to implement AI in the workforce don't have to forfeit human jobs to do so. Read a Dun & Bradstreet analyst's take on the intent of enterprise AI. Continue Reading
No enterprise today would roll out an obviously biased AI tool, but many remain unaware of the risks of unconscious bias in algorithms, which can produce equally dangerous results. Continue Reading
Blockchain technology could play an important role in helping enterprises develop more explainable AI applications, something that is frequently lacking today. Continue Reading