AI technologies
Forward-looking enterprises have to be aware of emerging artificial intelligence technologies. Get the latest on AI technologies such as NLP, bots, machine learning, deep learning and open source AI tools.
New & Notable
AI technologies 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 the resources they have.
-
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.
-
August 11, 2022
11
Aug'22
Lessons enterprises can learn from Meta BlenderBot 3
The tech giant's AI chatbot raises concerns on how enterprises can train natural language generative systems without creating controversial and damaging products.
-
August 09, 2022
09
Aug'22
Nvidia targets metaverse with new Omniverse Avatar Engine
The vendor's new cloud engine will help organizations easily build avatars and digital assistants. Nvidia also revealed plans to evolve USD with partners such as Pixar.
AI technologies Get Started
Bring yourself up to speed with our introductory content
-
Humorous AI is a riddle worth solving
Learn why Tony Veale -- author of the book 'Your Wit is my Command' -- believes comedic machines could change the world for the better. 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 AI technologies 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
-
Quantum computing market sees new partnerships, progress
From Infineon and Oxford Ionics' partnership to Cambridge and Honeywell's merger and QCI's new Entropy Quantum Computing, explore the major new leaps in the quantum market. Continue Reading
Manage AI technologies
Learn to apply best practices and optimize your operations.
-
Tips to plan storage elements of artificial intelligence
Author and data engineer Chinmay Arankalle explores how organizations can manage storage for AI. Management and storage options include data lakes and high-performance storage. Continue Reading
-
Considerations to plan AI storage architecture for big data
This chapter from 'The Artificial Intelligence Infrastructure Workshop' examines how to plan for AI data storage. Plan for factors like volume and scale for long-term success. Continue Reading
-
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
Problem Solve AI technologies Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
-
7 business process management challenges and how to fix them
On the road to a successful BPM initiative, missing C-level support, unclear goals, cultural change and poor testing environments are among the roadblocks that can be overcome. Continue Reading
-
Expanding explainable AI examples key for the industry
Improving AI explainability and interpretability are keys to building consumer trust and furthering the technology's success. Continue Reading
-
Solving the AI black box problem through transparency
Ethical AI black box problems complicate user trust in the decision-making of algorithms. As AI looks to the future, experts urge developers to take a glass box approach. Continue Reading