Enterprise artificial intelligence (AI)

Artificial intelligence (AI) technologies such as cognitive computing, machine learning and robotic process automation seek to simulate human intelligence: learning, reasoning and self-correcting -- through technology. In this topic area, find the latest news, tips and opinion about the role of enterprise artificial intelligence in IT and business strategy.

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Enterprise artificial intelligence (AI) News

March 25, 2020 25 Mar'20
COVID-19 has mixed effect on Nvidia news

During an Nvidia news call this week, company officials said the coronavirus pandemic has had a mixed impact on its business, with work-from-home-related sales up but certain sectors, such as sales ...
July 30, 2019 30 Jul'19
CIO job description grows ever more demanding

Korn Ferry's Craig Stephenson shares his thoughts on the changing CIO job description and urges tech leaders to follow the 'ADAPT' leadership framework.
July 09, 2019 09 Jul'19
Automation Anywhere's Microsoft pact indicative of hot RPA market

RPA vendor Automation Anywhere said it's poised to take full advantage of the burgeoning RPA market. Its recent deal with Microsoft is just one indication of RPA's popularity.
July 03, 2019 03 Jul'19
Criteria for success in AI: Industry best practices

Is it useful to study how companies outside of your industry are applying AI? Experts from Shell, Uber and Fellow Robots believe so. Read about their criteria for success in AI.

Enterprise artificial intelligence (AI) Get Started

Bring yourself up to speed with our introductory content

universal basic income (UBI)

Universal basic income (UBI) is a model for providing all citizens of a country or other geographic area with a given sum of money, regardless of their income, resources or employment status. Continue Reading
unsupervised learning

Unsupervised learning refers to the use of artificial intelligence (AI) algorithms to identify patterns in data sets containing data points that are neither classified nor labeled. Continue Reading
supervised learning

Supervised learning is an approach to creating artificial intelligence, where the program is given labeled input data and the expected output results. Continue Reading

Evaluate Enterprise artificial intelligence (AI) Vendors & Products

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

The IT thought leader's guide to the future of work

Forward-looking IT leaders aren't waiting for the post-COVID-19 era to happen. They're shaping the technology trends and processes that will support future work environments. Continue Reading
Examine the future of AI for IoT to achieve business success

Taking advantage of emerging trends, such as AI and IoT, is key to business success. Start by exploring the direction these two technologies will take according to experts. Continue Reading
6 cognitive automation use cases in the enterprise

Businesses are increasingly adopting cognitive automation as the next level in process automation. These six use cases show how the technology is making its mark in the enterprise. Continue Reading

Manage Enterprise artificial intelligence (AI)

Learn to apply best practices and optimize your operations.

Integrating AI and blockchain technologies in the enterprise

In his new book, Ganesh Prasad Kumble explores the impact of AI on blockchain applications and the value the combination of the two technologies can bring to the enterprise. Continue Reading
How machine learning model management plays into AI ethics

In the first episode of the 'Today I Learned' podcast, we're exploring the topic of ethical AI with insights from Scott Zoldi, the chief analytics officer at FICO. Continue Reading
Rooting out racism in AI systems -- there's no time to lose

A confluence of events has made this the right time for enterprises to examine how racism gets embedded in AI systems. Is your leadership up to the challenge? Continue Reading

Problem Solve Enterprise artificial intelligence (AI) Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

7 last-mile delivery problems in AI and how to solve them

Enterprises are discovering it's easier to build AI than it is to integrate it into existing processes. We examine seven 'last-mile' deployment problems when delivering AI. Continue Reading
How to overcome the limitations of AI

AI may not become the super-intelligent tool people envisioned, at least not in the near term. But that doesn't mean enterprises can't use AI in some valuable ways. Continue Reading
6 ways AI and automation could improve process mining

Creating a digital twin of your enterprise, identifying automation candidates for RPA and connecting isolated tasks into processes are a few ways CIOs can advance process discovery. Continue Reading