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November updates to SAS data analytics and visualization platform will provide AI and ML technology that can be used by data scientists, executives and business users, the Cary, N.C.-based SAS Institute Inc., announced this week. Read Now
IBM has announced new features for its Watson Anywhere approach designed to speed AI adoption and scale across any cloud and include multiple data sources. Read Now
According to The Gradient's 2019 study of machine learning framework trends in deep learning projects, TensorFlow is losing ground to PyTorch -- at least with academics. Read Now
From picking the project to prepping the data, Jen Underwood offers her top tips for successfully getting a new machine learning project off the ground in your enterprise. Read Now
Development teams get an AI assist with Parasoft Selenic, a user interface UI testing solution based on the open source Selenium automated testing framework. Read Now
Machine learning is being used to power the automatic management of workloads for the Amazon Redshift data warehouse. Read Now
Google has released its Coached Conversational Preference Elicitation (CCPE) and Taskmaster-1 English dialog datasets to open source. The two collections of pairs of people engaged in spoken conversations are now available to developers of AI assistants as training material for modeling natural language. Read Now
Kryon, a leading provider of robotic process automation solutions, announced this month the launch of AI Booster, a set of artificial intelligence (AI) services based on Microsoft Azure Cognitive Service to be integrated into the Kryon Automation Suite later this fall. Read Now
An International Data Corporation (IDC) report predicts that worldwide AI spending will grow two-and-a-half times from $37.5 billion to $97.9 billion between 2018 and 2023, a compound annual growth rate of 28.4 percent over the five-year period. Read Now
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