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.
New & Notable
Enterprise applications of AI News
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June 23, 2022
23
Jun'22
Microsoft reins in AI facial and voice recognition tech
The tech giant plans to rein in some of its AI technologies based on facial and voice recognition to reduce or eliminate bias and discrimination and aim for 'inclusive AI.'
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June 13, 2022
13
Jun'22
Alternative data, multimodal AI tech produce new insights
AI fuels the delivery of new sources of investment and corporate information, such as satellite imagery, contact center audio logs, employee sentiment and social media data.
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June 01, 2022
01
Jun'22
Analytics, automation and AI will fuel future of business
Organizations that speed their decision intelligence abilities will be those that survive and thrive, while those that don't digitally transform will fail.
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May 13, 2022
13
May'22
Federal warning on AI hiring bias now comes with teeth
Federal regulators have been warning employers about the risk of AI bias in hiring. The Justice Department is now involved, which means investigations may be next.
Enterprise applications of AI Get Started
Bring yourself up to speed with our introductory content
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How hybrid chatbots improve customer experience
Hybrid chatbots combine human intelligence with AI used in standard chatbots to improve customer experience. Learn how industries are using them to engage with customers. Continue Reading
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Weighing quantum AI's business potential
Quantum AI has the potential to revolutionize business computing, but logistic complexities create sizeable obstacles for near-term adoption and success. Continue Reading
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conservation of angular momentum
Conservation of angular momentum is a physical property of a spinning system such that its spin remains constant unless it is acted upon by an external torque; put another way, the speed of rotation is constant as long as net torque is zero. Continue Reading
Evaluate Enterprise applications of AI Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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Hybrid AI examples demonstrate its business value
As businesses weigh the potential benefits of implementing AI systems, hybrid AI examples demonstrate the technology's practical value for businesses. Continue Reading
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5 best practices for creating a data-driven supply chain
Turning to data and analytics to manage supply chain disruption only helps if leaders use good practices for extracting insights. Here are five that can help. Continue Reading
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Stochastic processes have various real-world uses
The breadth of stochastic point process applications now includes cellular networks, sensor networks and data science education. Data scientist Vincent Granville explains how. Continue Reading
Manage Enterprise applications of AI
Learn to apply best practices and optimize your operations.
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Real-world hyperautomation examples show AI's business value
Hyperautomation examples in the real world help businesses automate as many of their processes as possible and achieve their strategic goals. AI is instrumental in these efforts. Continue Reading
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How AI and automation play a role in ITOps
Tech professionals agree that AI, intelligent automation and cybersecurity play important roles in the enterprise and can revolutionize ITOps when implemented and used correctly. Continue Reading
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Use an AI governance framework to surmount challenges
As AI governance adapts to the rapidly expanding field of AI, businesses need a holistic framework to surmount challenges with clearly defined roles and responsibilities. Continue Reading
Problem Solve Enterprise applications of AI Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
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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
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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
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Supercomputer consortium powering COVID-19 treatment research
Supercomputers, AI and high-end analytic tools are each playing a key role in the race to find answers, treatments and a cure for the widespread COVID-19. Continue Reading