The ultimate goal of work in cognitive architecture is to provide the foundation for a system capable of general intelligent behavior. That is, the goal is to provide the underlymg structure that would enable a system to perform the full range of cognitive tasks, employ the full range of problem solving methods and representations appropriate for the tasks, and learn about all aspects of the tasks and its performance on them.
– from Laird et al., "SOAR: An architecture for general intelligence"
When it comes to revolutionary technology, the blockchain and cognitive computing are two at the top of the list in 2018. With these technologies finally being put to use in practical applications, we're learning more and more about what they can do on their own--and together. Let's take a look at how some industries can take advantage of this powerful combination. Before we can discuss what these two technologies can accomplish together, it's important to understand them separately. Cognitive computing is essentially using advanced artificial intelligence systems to create a "thinking" computer.
Cognitive computing is an emerging area, with numerous use cases in manufacturing, education, commerce, and customer service. According to IDC, 90% of organizations will leverage cognitive computing by 2021 and 40% of digital transformation initiatives will use cognitive services by 2019. With use cases beginning to bear fruit in success, our customers have begun to see success using cognitive. As such, IBM selected us to present at Think, their largest user conference of the year happening March 19-22 in Las Vegas. Join us for both events and see how cognitive can transform your business goals for the months and year ahead.
Abstract: The leap from cognitive computing to artificial intelligence will require systems that can take account of sensory data directly and in real time. This will require new systems and methods of programming them. This talk will outline some of the challenges faced and possible solutions. Interested in learning more about the business of data science and AI? Accelerate AI – The ODSC Business Summit will be focusing on the opportunities of AI and Data Science for real-world business transformations. See how industries such as finance, marketing, retail, insurance, government education and more are accelerating growth using AI and data science.
'Virtual reality' and'cognitive computing' have become the trends to watch in the tech industry in recent years. In many ways, the excitement makes sense. The world around us continues to converge and become infinitely more connected, driven largely by the ability for businesses to sort, analyze, and action on the vast amounts of data that are being generated everyday. This, paired with a new generation of inexpensive VR headsets have sparked a flurry of renewed interest for gamers, just as'thinking' computers like IBM's Watson have literally stolen the show while schooling human opponents on Jeopardy. However, thanks to a recent slate of research by the National Aeronautics and Space Administration (NASA), these two technologies are poised to help us travel far beyond the bounds of Earth.
At Reltio we've been articulating a vision, which includes a pragmatic perspective of machine learning (ML) for over 3 years now. Realizing that not only does ML not offer a silver bullet, but there is still much to learn (pun intended) as to how such technologies can ultimately benefit both IT and business. Noted Big Data expert Bernard Marr provides a nice list of use cases that might be applied to your specific business and industry. The key is that a focused set of benefits for each users' role, must be defined in order for it to be accurately measured so it doesn't get labelled yet another (data) science project with limited value. Most companies are NOT ready for any form of AI, ML, or Cognitive Computing to help their business user, because their data is such poor shape to even attempt such an endeavor.
I like to keep up with how cognitive computing is doing in the marketplace and came across a TedMedLive Talk by Basit Chaudhry, an MD specializing in the design of clinical service delivery systems for chronic disease care. His talk is a little dated, 2013, but what he had to say then applies very much to the state of today's healthcare industry.