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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February 26, 2021
26
Feb'21
Steel producer reduces costs using AI in manufacturing
The largest long steel producer in Latin America used data and machine learning predictions to save money, while maintaining the same level of production quality.
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February 17, 2021
17
Feb'21
AI deployed as employee burnout detection tool
Employee burnout is one of the mental health issues that AI tools are helping HR to identify. The technology can analyze employee activities and communications for potential risk.
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February 03, 2021
03
Feb'21
Automated speech recognition gives CX vendor an edge
An automated transcription service can help users train their sales staff and stop robocalls. A contact center software vendor included one for free in its platform.
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January 08, 2021
08
Jan'21
Digital healthcare top priority for CIOs in 2021
In 2021, CIOs will not only focus on providing greater access to healthcare but more equitable access. Digital tools will play a key role.
Enterprise applications of AI Get Started
Bring yourself up to speed with our introductory content
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5 examples of effective NLP in customer service
Through use cases such as chatbots, recommendation systems and customer relationship management, NLP and AI are playing an important role in enterprise customer service. Continue Reading
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predictive modeling
Predictive modeling, also called predictive analytics, is a mathematical process that seeks to predict future events or outcomes by analyzing patterns that are likely to forecast future results. Continue Reading
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Try this cybersecurity quiz, test your cyberdefense smarts
Based on the November 2020 issue of Information Security magazine, this 10-question quiz lets you check your comprehensive knowledge of current security issues and earn CPE credit too. 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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Artificial general intelligence in business holds promise
While AGI in business remains unattainable today, truly intelligent systems, chatbots and predictive analytics are potential use cases enterprises should keep their eyes on. Continue Reading
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Artificial general intelligence examples remain out of reach
Artificial general intelligence remains largely an aspiration goal of researchers, but as technologies advance, so too does the dream become more realistic. Continue Reading
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Data science vs. machine learning vs. AI: How they work together
Data science, machine learning and AI are central to analytics and other enterprise uses. Here's what each involves and how combining them benefits organizations. Continue Reading
Manage Enterprise applications of AI
Learn to apply best practices and optimize your operations.
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Data democratization strategy for machine learning enterprise
In the enterprise, data democratization works to break down data silos by opening access to an organization's data across teams in an effort to improve workflows. Continue Reading
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Building trustworthy AI is key for enterprises
Organizations need to focus on transparency in models, ethical procedures and responsible AI in order to best comply with guidelines for developing trustworthy AI systems. Continue Reading
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How HPE OneView composes, manages Synergy infrastructure
HPE OneView enables Synergy composable infrastructure to do its job. Learn how OneView enables users to manage compute, storage and network for composing virtual servers on-demand. 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