Enterprise applications of AI

A large percentage of enterprises have already implemented some type of artificial intelligence software to improve their business, be it chatbots for customer service or machine learning for predictive analytics. On this page, you'll find information about those enterprise applications of AI and many more emerging uses of AI.

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October 26, 2017 26 Oct'17
Oil and gas IT leaders drilling for AI benefits

In an industry not known for being on the tech cutting edge, some are exploring the business value of artificial intelligence.
March 20, 2017 20 Mar'17
Cloud-based robotics could be an AI game changer

Gill Pratt, CEO at the Toyota Research Institute, explains why it's better for robots to have their heads in the clouds.
November 10, 2016 10 Nov'16
Tom Davenport: Getting started on enterprise AI

In this Q&A, analytics expert Tom Davenport offers pointers for CIOs on setting an enterprise AI strategy.
September 09, 2016 09 Sep'16
Industry responds to artificial intelligence technology development

Responses to a White House request for information on AI software show stakeholders are still split between worry and enthusiasm for this fast-developing technology.

Bring yourself up to speed with our introductory content

Value of NLP applications varies for different AI uses

Chatbots and virtual assistants are built on sophisticated component pieces, like NLP tools and automated bot technology, which can be implemented on their own in some use cases. Continue Reading
Why Intuit aims chatbot design at a narrow set of tasks

A data scientist at Intuit details the finance software vendor's approach to building chatbots -- and explains why it's limiting them to some basic customer service activities. Continue Reading
Humans and AI tools go hand in hand in analytics applications

Companies are keeping data analysts and other workers in the loop with AI applications to check the results generated by automated algorithms for accuracy, relevance and missing info. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Getting to machine learning in production takes focus

Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process. Continue Reading
IoT finds a home in RPA technology

The automated nature of IoT makes it a perfect mate for RPA software, helping companies streamline processes and reduce human error, among other benefits. Continue Reading
IT, finance and marketing have uses for AI -- do you?

AI in healthcare improves patient outcomes. AI in IT aids employee compliance and security. AI in logistics, AI in marketing, AI in finance -- learn how your company can use AI. Continue Reading

Learn to apply best practices and optimize your operations.

How one company thinks chatbots and AI can change insurance

Insurance agency management company In-Fi is hoping AI chatbots can streamline homeowner insurance applications and bring the process in line with customers' expectations. Continue Reading
Harman's plan for AI in cars moving full speed ahead

Can an AI virtual assistant in every car save the auto industry from sluggish sales and an uncertain future? Audio component manufacturer Harman argues that it can help. Continue Reading
More curiosity could help narrow AI tools handle broader uses

Today, engineers are developing AI tools primarily for individual applications, but programming a facsimile of curiosity into algorithms could help make them more general purpose. Continue Reading