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.
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We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.
AI technologies News
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October 11, 2019
11
Oct'19
A chemical company simplifies workflows using RPA
Software from Automation Anywhere, an RPA vendor, was easy for Eastman Chemical Company employees to use at a desktop level to automatically handle daily tasks.
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October 10, 2019
10
Oct'19
As more push for explainable AI, companies add features
As businesses demand more explainable AI, vendors such as IBM and DarwinAI are introducing new features to help break down for business users how AI systems work.
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October 07, 2019
07
Oct'19
Government AI strategy includes tech transfer to private sector
The Department of Energy's chief commercialization officer works with the DoE's national laboratories on transferring AI and other technologies to the private sector.
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October 03, 2019
03
Oct'19
Cornell Tech puts computer vision into practice on clothing
A team at Cornell Tech built a clothing recognition dataset, and recently turned to Samasource, which provides AI training data services, to annotate tens of thousands of images.
AI technologies Get Started
Bring yourself up to speed with our introductory content
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Neural network applications in business run wide, fast and deep
Neural network uses are starting to emerge in the enterprise. This handbook examines the growing number of businesses reporting gains from implementing this technology. Continue Reading
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supervised learning
Supervised learning, in the context of artificial intelligence (AI) and machine learning, is a type of system in which both input and desired output data are provided. Continue Reading
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artificial neural network (ANN)
In information technology (IT), a neural network is a system of hardware and/or software patterned after the operation of neurons in the human brain. Continue Reading
Evaluate AI technologies Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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3 intelligent process automation use cases and how they work
Enterprises are pursuing intelligent process automation to take their digital transformation and RPA applications to the next level. Here's a look at three use cases. Continue Reading
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Deep learning and neural networks gain commercial footing
Deep learning and neural networks are picking up steam in applications like self-driving cars, radiology image processing, supply chain monitoring and cybersecurity threat detection. Continue Reading
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Ethical concerns of AI call growing adoption into question
AI tools are getting easier to use every day, putting powerful tools into the hands of potentially malicious users. The time to think about the ethics of AI advances is now. Continue Reading
Manage AI technologies
Learn to apply best practices and optimize your operations.
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AI in content management revolutionizes unstructured data
Managing content and data can take business process from unrefined to streamlined. Enterprises can slowly apply technologies to climb the ladder of cognitive content intelligence. Continue Reading
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Using enterprise intelligent automation for cognitive tasks
RPA is no longer comprised of simple chatbots or repetitive programmed tasks. Enterprises are looking at RPA to move up the ladder of cognitive automation. Continue Reading
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How Oracle RPA systems can automate business tasks for users
Robotic process automation software can be integrated into Oracle environments to help strengthen business operations by augmenting workers with software robots. 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.
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Collaborative robots' safety stalls enterprise implementation
Cobots are promising big gains, especially in enterprises utilizing manual labor. However, due to a number of safety concerns, human workers are still at risk. Continue Reading
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How to solve deep learning challenges through interoperability
The challenges of training and overseeing advanced neural networks is leading to an implementation bottleneck in deep learning technology. Continue Reading
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Experts discuss pressing data science problems and solutions
Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges. Continue Reading