Human-Centered Design to Amplify Care
While AI and machine learning can help, front-line employees are ultimately the ones who can deliver that empathy and care customers desire today.
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.
While AI and machine learning can help, front-line employees are ultimately the ones who can deliver that empathy and care customers desire today.
Real-time data and generative AI redefine the stadium as a vibrant, interactive theater, ensuring fans don't just watch but actively engage.
Numerous advancements are providing telecom operators with the ability to respond to business requirements by creating limitless applications on top of …
IBM announced a commitment to train two million learners in AI by the end of 2026, with a focus on underrepresented communities.
Here, we've collected the forward-looking thoughts of some of the leaders in the real-time analytics space participating in Current
Automotive assembly line virtualization involves the use of digital tools and techniques to model, simulate, optimize, and manage assembly processes before …
Integrating artificial intelligence (AI) into feedback-driven processes pushes the boundaries of what's possible in automotive
phi-1, a new large language model for code, was trained on much less, but highly curated data in a faster time than comparable LLMs.
In this week's real-time analytics news: MLCommons released its latest machine learning benchmark testing results.
The project hopes to demonstrate that public cloud resources can be harnessed to handle large-scale, high-fidelity simulations for medical applications.