Artificial intelligence Whitepapers

In this on-demand Genesys DX demo, you’ll see how an AI-powered solution creates personalized experiences, empowers agents, and delivers value in weeks not months.

SambaNova now offers its extensible ML services platform for Language, Vision, and Recommendation delivered as a service. Developed to help organizations deploy natural language processing, high-resolution computer vision, and recommendation system models, our Dataflow-as-a-Service™ solution accelerates AI workloads. This service provides organizations with comprehensive ML services—empowering you to rapidly deploy customized solutions with total confidence.

Technological change comes fast, displacing existing incumbents who aren’t prepared. By the time companies realize their predicament and start playing catch-up, new leaders are born and established players risk extinction. Case in point, over 50% of the companies in the Fortune 500 in 2000 no longer exist today. And over 80% of companies who have

A generational shift has come to healthcare and pharma. Today’s practitioners are flooded with increasing amounts of data in their day-to-day practice. Navigating this flood of data takes significant time and effort. This often means less time for delivering the human element of care and addressing the real-life needs of their patients

The demands of ever more sophisticated Artificial Intelligence have pushed classical compute hardware and software to its limits. But will the architectures being put in place to enable the next generation of AI also transform how we approach traditional HPC and general computing?

THE CHALLENGE Emerging instances of AI-enabled robots, autonomous vehicles, and non-piloted drone operations are part of an expanding array of innovative use cases in industrial robotics. Industrial robotics integrated with AI are predicted to spur market growth by a projected CAGR of more than 15% in coming years, reaching USD 66.48 billion by 2027, according

Despite surging interest in industrial robotics, fundamental challenges still exist when trying to perform business operations and automate workflows across hybrid network environments and disparate systems. But recent advances in artificial intelligence (AI) combined with new communication technologies, including 5G, help integrate robotics into software-defined infrastructures as part of the full-scale digital transformation of organizations.

Despite surging interest in industrial robotics, fundamental challenges still exist when trying to perform business operations and automate workflows across hybrid network environments and disparate systems. But recent advances in artificial intelligence (AI) combined with new communication technologies, including 5G, help integrate robotics into software-defined infrastructures as part of the full-scale digital transformation of organizations.

THE CHALLENGE Emerging instances of AI-enabled robots, autonomous vehicles, and non-piloted drone operations are part of an expanding array of innovative use cases in industrial robotics. Industrial robotics integrated with AI are predicted to spur market growth by a projected CAGR of more than 15% in coming years, reaching USD 66.48 billion by 2027, according

The development of artificial intelligence (AI) is galvanizing the economy, society and politics alike. In philosophical debates, people are still questioning whether the benefits of AI for humans outweigh the risks involved in its use. Undeterred by this, various AI applications such as machine learning and pattern recognition and prediction are increasingly making their way