AI Workloads Need Purpose-built Infrastructure
Research shows that an inadequate or lack of purpose-built infrastructure capabilities is often the cause of AI projects
Topic: Artificial intelligence technologies
Looks at issues related to artificial intelligence technologies, including cognitive computing, deep learning, and machine learning. Considers also supervised and unsupervised learning and natural language processing.
Digital Marketers Increasing Turn To AI For Help
Digital marketers plan to increase their use of artificial intelligence and machine learning for data collection and content creation in the next 12
Dissecting a Supply Chain’s Digital Twin
At the heart of the supply chain digital twin development lies a flexible supply chain simulation model that is data-driven and
78% Companies See AI as a Key Revenue Driver in 2022
Cost savings was cited as the best measure of success for businesses deploying AI/ML solutions, followed by revenue growth and time
Emerging Markets Leapfrog Into Digital Banking
Emerging fintech markets face few constraints in using cloud computing, big data, artificial intelligence, and the other technologies for up-to-date digital …
Business-led Integration: Uniting IT, Non-techies, and iPaaS
Those who find a way to leverage technology in the service of business-led integration will count themselves among the 30% of digital transformation
Successful Integration is a Team Sport
With AI as a differentiator, enterprises can leverage a handful of strategic experts to automate integration efforts that free
Real-time Analytics News for Week Ending February 12
In this week's real-time analytics news: LeanIX launched an academic edition of its solution designed to help students learn enterprise architecture …
AI Controlled Traffic Lights Tested in New Project
The automated lights can lessen the impact of C02 emissions resulting from idling traffic at intersections. And because they use edge computer control located …
Argonne Uses AI To Find Aircraft Manufacturing Improvements
Argonne National Laboratory, in collaboration with leading manufacturers, is deploying its machine learning expertise to help with aircraft