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. Find information about those enterprise AI applications and many more emerging uses of AI.
New & Notable
Enterprise applications of AI News
-
August 24, 2022
24
Aug'22
New funding for Anyscale boosts popular Ray AI platform
The startup raised $99 million and released a new version of its open source framework, which helps enterprises scale AI workloads and projects with available resources.
-
August 19, 2022
19
Aug'22
Why you need to consider using small data to train AI models
A smaller data set makes sense for certain applications, such as intelligent document processing. It is not helpful in cases in which a large volume is needed to avoid mistakes.
-
August 17, 2022
17
Aug'22
A hyper-personalized AI platform for community finance
Using the vendor's Cortex AI platform, DeepTarget created a digital experience platform that community finance institutions can use to predict what consumers will buy.
-
August 16, 2022
16
Aug'22
Facing labor shortage, pizza franchise turns to AI phone bot
Jet's Pizza says OrderAI Talk frees up employees, keeps consumers from enduring long wait times and is an option for those who prefer using the phone to text ordering.
Enterprise applications of AI Get Started
Bring yourself up to speed with our introductory content
-
12 AI and machine learning use cases in ITSM
AI-enabled ITSM, while still maturing, promises to greatly improve the speed and quality of IT service management. Here are 12 AI and machine learning use cases in ITSM. Continue Reading
-
The white-box model approach aims for interpretable AI
The white-box model approach to machine learning makes AI interpretable since algorithms are easy to understand. Ajay Thampi, author of 'Interpretable AI,' explains this approach. Continue Reading
-
machine vision
Machine vision is the ability of a computer to see; it employs one or more video cameras, analog-to-digital conversion (ADC) and digital signal processing (DSP). Continue Reading
Evaluate Enterprise applications of AI Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
-
How businesses can benefit from conversational AI applications
Conversational AI tools have traditionally been limited in scope, but as they become more humanlike, businesses have realized their potential and applied them to more use cases. Continue Reading
-
GANs vs. VAEs: What is the best generative AI approach?
Generative AI is gaining steam in the tech sector. Two popular approaches are GANs, which are used more for multimedia, and VAEs, which are used more for signal analysis. Continue Reading
-
How AI is transforming the talent acquisition process
Machine learning, natural language processing and RPA can source candidates faster, match their skills better and vet them with less bias. An HR technology expert explains how. Continue Reading
Manage Enterprise applications of AI
Learn to apply best practices and optimize your operations.
-
10 steps in planning a strong recruitment strategy
To attract and hire the right job candidates, examine current policies, solicit feedback, identify workforce gaps, deploy advanced technologies and promote the company brand. Continue Reading
-
Digital freight broker cuts food waste, carbon footprints
Hwy Haul CEO Syed Aman explains how connecting shippers with truckers online and using data science to optimize loads and routes makes the produce supply chain more sustainable. Continue Reading
-
6 best practices for managing a contingent workforce
A well-managed contingent workforce can provide welcome relief to businesses juggling their finances during trying times and a practical alternative to hiring permanent employees. 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.
-
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
-
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
-
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