AI Advances in 2020 to Come Slow But Steady
Organizations must determine precisely which types of processes will benefit most from an injection of machine and deep learning
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.
AI Transparency and Regulatory Issues Loom Large in 2020
There is no questioning the booming success of artificial intelligence (AI) and its increasing adoption by businesses in all fields. A is critical in the …
Using CI and AI to Tackle Top Financial Services Regulatory Challenges
The complexity and ever-changing nature of fraud and financial crime patterns requires an ability to quickly and effectively spot and stop
3 Inconvenient Truths about AI and ML
To bridge the gap between the data we're collecting and the way organizations interface with it, we need to address some uncomfortable
AI Job Skills In Big Demand
Many businesses believe they need AI, but one of the biggest challenges is finding
Real-time Analytics News Roundup for Week Ending January 11
In the news this week: AI and ML solutions to future-proof vehicles, an update to an open-source multi-model database, a cognitive advertising accelerator, and …
MIT Researchers Create AI Code Prediction Tool
The new tool uses a machine learning neural net and is said to be up to 50 percent more accurate than hand-crafted models.
New AI Export Conditions
As AI brings ethical and national security issues to the table, one new rule is hoping to keep sensitive software out of the hands of
Forget Machine Learning, Constraint Solvers are What the Enterprise Needs
Constraint solvers take a set of hard and soft constraints in an organization and formulate the most effective plan, taking into account real-time
Will the Consumerization of AI Set Unrealistic Expectations?
Corporate AI offerings must be as robust and feature rich as the consumer AI services workers use at home. Otherwise, users will not embrace