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.

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AI technologies News

September 10, 2020 10 Sep'20
AI in transportation reduces employee workloads

By using intelligent automation, a shipping company trimmed employee workloads, enabling employees to shift from document processing to customer service.
September 03, 2020 03 Sep'20
Microsoft deepfake software combats election propaganda

Ahead of the 2020 United States presidential election, Microsoft released Video Authenticator, an AI-powered tool to help identify deepfake images and videos.
August 28, 2020 28 Aug'20
IBM uses AI to power new US Open online features

With AI and Watson Discovery, IBM is providing tennis fans with new ways to interact with each other online during this year's US Open, which will be held without live spectators.
August 28, 2020 28 Aug'20
It's been a slow road for AI in oil and gas industries

Analytics and AI can help oil and gas companies better predict supply and demand, involuntary flaring and where to drill. But the companies struggle to get talent.

AI technologies Get Started

Bring yourself up to speed with our introductory content

Modern AI evolution timeline shows a decade of rapid progress

AI has become an asset for organizations to better understand their business position, and its capabilities have improved dramatically over the past decade. Continue Reading
employee sentiment analysis

Employee sentiment analysis is the use of natural language processing and other AI techniques to automatically analyze employee feedback and other unstructured data to quantify and describe how employees feel about their organization. Continue Reading
supervised learning

Supervised learning is an approach to creating artificial intelligence, where the program is given labeled input data and the expected output results. Continue Reading

Evaluate AI technologies Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Explore the foundations of artificial neural network modeling

Dive into Giuseppe Bonaccorso's recent book 'Mastering Machine Learning Algorithms' with a chapter excerpt on modeling neural networks. Continue Reading
Combining AI and predictive analytics crucial for the enterprise

Predictive analytics, when combined with artificial intelligence, can assist organizations with their risk management, as well as their planning and optimization. Continue Reading
Future of autonomous vehicles depends on driver attitudes

Getting the public behind the idea of an autonomous vehicle means peeling back the black box nature of AI and proving the safety of self-driving technology. Continue Reading

Manage AI technologies

Learn to apply best practices and optimize your operations.

RPA, AI bolster supply chain resilience in times of crisis

RPA bots and AI are behind-the-scenes essential personnel during COVID-19, working virtually alongside supply chain workers and sustaining goods and services lifelines. Continue Reading
RPA and AI strengthen weak links in supply chain workflows

Instead of an all-or-nothing approach to supply chain automation, RPA is most effective when targeted at subprocesses to improve high-volume, repetitive, error-prone tasks. Continue Reading
3 keys for the implementation of AI in the enterprise

Organizations need to focus on diversity, proper scaling and augmentation capabilities when implementing artificial intelligence in order to keep the process pain-free. 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.

Expanding explainable AI examples key for the industry

Improving AI explainability and interpretability is key to the continued building of trust with consumers and the continued success of the technology. Continue Reading
Understanding how deep learning black box training creates bias

Bias in AI is a systematic issue that derails many projects. Dismantling the black box of deep learning algorithms is crucial to the advancement and deployment of the technology. 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