Exploring Artificial Intelligence Variants and Their Uses
The common thread across all AI technologies is the ability to impart human-like decision-making capabilities into applications and systems.
Quantum AI in the 2020s and Beyond: What IBM Is Doing
The most important investments that IBM is making in quantum AI is to build out its developer and partner ecosystem and to provide them with sophisticated …
AIOps In the Post-Coronavirus New Normal: Where IBM’s Heading
In the growing AIOps segment, IBM’s strong suit will be its world-class portfolio of AI, advanced analytics, and data management
IBM Advances Sentiment Analytics via Watson AI Services
IBM researchers first showcased this capability last year as part of Project Debater and is now moving to commercialize that capability within offerings such …
Operationalize AI in Real Time with Streaming Analytics
The AI Ladder, along with CRISP-DM, provides a strategic approach to creating CI applications on real time
How AutoAI Accelerates AI Adoption
With AutoAI, businesses can build and deploy a machine learning model with sophisticated training features and no coding.
Streaming Analytics: How to Realize Its Full Potential
Streaming analytics can be used to improve operational efficiencies, reduce infrastructure costs, and provide faster insights and
Are Sports Highlights a Win for IBM’s Watson AI?
Unlike some of the other industries that Watson has tried to master, sports offers a bit more predictability and data sources. IBM’s Cognitive Highlights was …
IBM and MIT Partner on Artificial Intelligence Lab
IBM plans to make a 10-year, $240 million investment to create the MIT–IBM Watson AI
OpenText Magellan Has IBM Watson in Its Sights
OpenText has made the official move into artificial intelligence with Magellan, and it has not shied away from the big competitor it’s going after: IBM …