AI business strategies

Artificial intelligence software is changing how enterprises conduct business. Machine learning supports data-driven decisions, customer service chatbots follow up on leads, robots in manufacturing boost productivity -- the list goes on. Get advice for building and implementing AI business strategies.

November 10, 2020 10 Nov'20
Infosys applied AI launch follows IT consulting AI releases

Infosys launched a new offering to help enterprises find and apply AI use cases at scale. The release is part of a wave of similar products from other big systems integrators.
November 06, 2020 06 Nov'20
AI might not have rights, but it could pay taxes

Tax, liability and patent laws can't handle AI systems, which have grown steadily smarter. As AI becomes ubiquitous, the legal system may need to change to accommodate it.
October 30, 2020 30 Oct'20
Machine learning and predictive analytics work better together

Artificial intelligence and machine learning, when combined with predictive analytics, allow companies and organizations to get the most out of their data.
October 29, 2020 29 Oct'20
Intel will acquire model optimization startup SigOpt

Intel's acquisition of SigOpt, a startup vendor of an AI model optimization platform, will help accelerate Intel's AI software products for developers.

Bring yourself up to speed with our introductory content

artificial intelligence

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Continue Reading
Science fiction vs. reality: A robotics industry overview

Robots have made their way into industrial, manufacturing and military settings, but the robots of science fiction remain a long-term goal rather than a reality. Continue Reading
How and why are our devices listening to us?

Consumers are utilizing digital voice assistants and smartphones but may not realize how frequently companies listen in and sift through all the data these devices create. Continue Reading

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

Reality check: Analysts check in on the AI hype cycle

AI applications still come with significant hype, but with a targeted approach, organizations can get the most out of their applications. Continue Reading
Why AI adoption in the enterprise continues to lag

In this episode of 'Today I Learned About Data,' we discuss AI adoption in the enterprise, and it's been slower than many have predicted. Continue Reading
8 examples of AI personalization across industries

Through AI content personalization, organizations can build unique profiles of users and customers and tailor their products, advertisements and services to better fit them. Continue Reading

Learn to apply best practices and optimize your operations.

Why AI literacy is critical, even for non-technical employees

To successfully deploy and manage AI projects and build a vision of a digital workplace, businesses need to ensure a basic level of AI competency across all employees. Continue Reading
How to avoid overfitting in machine learning models

Overfitting remains a common model error, but data scientists can combat the problem through automated machine learning, improving AI literacy and creating test data sets. Continue Reading
AI improves customer experience, call center efficiency

Customers and employees can benefit from the use of AI in contact centers. Businesses can use AI to provide customer self-service options and help make agents more productive. Continue Reading

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

9 data quality issues that can sideline AI projects

The quality of your data affects how well your AI and machine learning models will operate. Getting ahead of these nine data issues will poise organizations for successful AI models. Continue Reading
AI security concerns keeping infosec leaders up at night

Conversations about 'AI as a solution' may overlook potentially grave AI security issues. Explore the potential infosec implications of the emerging technology in this video. Continue Reading
Data science's ongoing battle to quell bias in machine learning

Machine learning expert Ben Cox of H2O.ai discusses the problem of bias in predictive models that confronts data scientists daily and his techniques to identify and neutralize it. Continue Reading