Why Dynamic Algorithms Still Haven’t Replaced Human Rules

In this contributed article, editorial consultant Jelani Harper discusses how there are certainly numerous use cases enriched by dynamic algorithms, such as fraud detection. However, the applicability of rules to analytics undertakings in which there is variability is clear. Subsequently, rules are undoubtedly here to stay, and a crucial means of facilitating enterprise analytics during the current epoch of cognitive computing.   

Enhancing Predictive Cognitive Computing Models with Traditional Data Modeling

In this contributed article, editorial consultant Jelani Harper suggests that with so much attention devoted to the purported wonders of predictive cognitive computing models (typically characterized by classic machine learning and deep learning), it’s easy to lose sight of the conventional data models underpinning these applications.

LevaData Introduces Cognitive Sourcing for New Product Introduction Teams

LevaData, the company that delivers applied AI to transform strategic sourcing and procurement, announced the launch of LevaData NPI (New Product Introduction), a solution extension of the LevaData Cognitive Sourcing Platform. Designed and built for enterprise manufacturing companies, LevaData NPI offers industry-first supply chain insights and actionable guidance to product planning, launch and introduction teams.

Infographic: The Cognitive Business Disruption

In the infographic below created by our friends over at the Ohio University Online Master of Business Administration program, we explain how the promise of the technology should be navigated: the principles of cognitive computing, factors affecting cognitive computing’s adoption, and how to integrate cognitive computing in business.

The Transformation of HPC: Simulation and Cognitive Methods in the Era of Big Data

Dave Turek from IBM gave this talk at the Swiss HPC Conference. “There is a shift underway where HPC is beginning to be addressed with novel techniques and technologies including cognitive and analytic approaches to HPC problems and the arrival of the first quantum systems. This talk will showcase how IBM is merging cognitive, analytics, and quantum with classic simulation and modeling to create a new path for computational science.”

The Future of Cognitive Computing

In the video presentation below, Dr. John Kelly III, Senior Vice President, IBM Research and Solutions Portfolio, discusses the future of cognitive computing. Dr. Kelly is focused on the company’s investments in several of the fastest-growing and most strategic parts of the information technology market, including IBM Watson.

The Computer That Could Be Smarter than Us – Cognitive Computing

Ingolf Wittmann from IBM presented this talk for the Switzerland HPC Conference. “This presentation will point out based on real examples how HPC environments can benefit from such solutions and technologies to drive cognitive solutions, machine/deep learning where we can ask ourselves, ‘What will be possible in the near future – can the future computers be smarter than humans?”

Visionary Perspective: Foundations of Cognitive Computing

Costas Bekas from IBM Research Zurich presented this talk at the Switzerland HPC Conference. “IBM Research builds applications that enable humans to collaborate with powerful AI technologies to discover, analyze and tackle the world’s greatest challenges. Humans are on the cusp of augmenting their lives in extraordinary ways with AI. At IBM Research Labs around the globe, we envision and develop next-generation systems that work side-by side with humans, accelerating our ability to create, learn, make decisions and think.”

Video: Computing of the Future

Jeffrey Welser from IBM Research Almaden presented this talk at the Stanford HPC Conference. “Whether exploring new technical capabilities, collaborating on ethical practices or applying Watson technology to cancer research, financial decision-making, oil exploration or educational toys, IBM Research is shaping the future of AI.”

Video: SC16 Keynote Katharine Frase on Cognitive Computing

“Watson and cognitive computing in general can serve significantly in every single arena in which we grapple with multi-layered, data-intensive problems: how to best treat cancers; how to adapt to conditions brought about by climate change; how to quickly and effectively harness new kinds of sustainable energy; how to untangle intractable governmental or community development challenges,” Frase stated. “Now more than ever, visionary thinking will drive an endless and transformative array of applications for Watson and cognitive computing in general, along with whatever comes next.”