Factors Driving the Need for Integration and Obstacles to Overcome
IBM's Matt Roberts discusses the factors driving the demand for integration, common obstacles to success, and how the right integration technologies …
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.
DeepMind Massively Expands Protein Structure Database
Researchers have said that the publication of this database, which is free to use, will help in combating malaria, antibiotic resistance, and plastic waste, as …
Why Do AI Projects Fail and How Do You Avoid That from Happening?
In this Q&A interview, Aible and Intel provide insights not only on how to avoid AI project failures but how they deliver guaranteed results from AI within 30 …
Real-time Analytics News for Week Ending August 20
In this week's real-time analytics news: Cloudera announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse SaaS offering for …
Empowering the AI Enterprise in the 5G Era
The proliferation of 5G wireless networks will encourage communities of AI application developers to create new solutions that take advantage of 5G speed and …
Three Methods Researchers Use To Understand AI Decisions
Making sense of AI decisions is important to researchers, decision-makers, and the wider public. Fortunately, there are methods available to ensure we know …
How Connected Products Enable Predictive Maintenance
Using analytics and AI, OEMs of connected equipment can gain a deep understanding of the status of a machine and move to a predictive maintenance mode of …
Study: The More Digital the Enterprise, the More Resilient
Artificial intelligence (AI) and automation—such as AI cameras and automated workflows—have become vital for physical
The Retail Reboot: How Leading Retailers are Personalizing the Experience with the Edge
With the proliferation of high-definition cameras, computer vision, and AI applications, retail stores can now get real-time insights while customers
Selective Risk Could Improve AI Fairness and Accuracy
A new technique called monotonic selective risk could be deployed to reduce the error rate for underrepresented groups in AI