Cognitive System Value Model

#artificialintelligence

The race to develop and deploy cognitive systems is on. Immature and rapidly changing, the current cognitive systems landscape is made up of a small but steadily growing group of cognitive tools, APIs, platforms, and application vendors. The cognitive "holy grail" they seek: high-impact, rapidly-delivered cognitive systems. In the Cognitive Systems market, five deployment types have emerged: 1. Cognitive Tools & APIs 2. Embedded Cognitive/AI Functionality 3. Native Cognitive Applications 4. Cognitive System Deployments 5. Autonomous Cognitive Systems Current Cognitive System deployments have a variety of approaches, ambitions, and complexities. Early developers and funders of Cognitive Systems place a premium on how long it takes to "go live" and recognize material cognitive benefit.


IBM Cognitive - Cognitive Technology in Business

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Regardless of industry, the companies that win in the digital era are those that take the shortest paths to the best results. That means getting the right information in the right hands at the right time. These realities are why more organizations are turning to cognitive solutions. Our market report, "The cognitive advantage: Insights from early adopters on driving business value," reveals that early adopters employ cognitive computing for competitive differentiation. In fact, 65 percent say that cognitive adoption is very important to their strategy and success, and more than half regard cognitive computing as a must-have to remain competitive.


The Impending Ubiquity of Cognitive Objects

AAAI Conferences

The word symbiosis (Merriam-Webster 2015) has its origins in biology where it means “the relationship between two different kinds of living things that live together and depend on each other.” When referring to symbiotic cognitive computing, we expand this definition to include both people and intelligent computational agents who work together in a partnership (Farrell et. al 2005). Cognitive objects embody these intelligent agents, providing a physical object that may sense, compute, react, and interact with the power of cognitive computing. In this paper, we describe a few preliminary design explorations that investigate the impact of being surrounded by cognitive objects during group meetings. We frame a research agenda around the construction, programming, and usage of cognitive objects in work and home environments, and for use cases across industries such as oil and gas, healthcare and agriculture.


Cognitive Computing Consortium Forms to Discuss Issues with Technology

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Leading industry experts are launching a Cognitive Computing Consortium to focus on furthering innovation in cognitive computing. The consortium is an interactive forum for researchers, developers, and practitioners of cognitive computing and its allied technologies. The consortium was co-founded by Sue Feldman, CEO, Synthexis; and Hadley Reynolds, principal analyst at NextEra Research, to fill a gap in the industry. Its mission is to enable professionals to exchange ideas and insights to conduct research and to educate buyers, users and the public on cognitive computing technologies, their uses, and potential impacts. The group was inspired to form after vendors told various experts that they needed an unbiased source to which they can refer potential clients for validation, advice, and background information.


IBM is building a cognitive computing research center with the University of Illinois

ZDNet

IBM is forming a new cognitive computing research center in partnership with the University of Illinois. Big Blue said Friday the planned Center for Cognitive Computing Systems Research (C3SR) will be housed within the College of Engineering on the University of Illinois Urbana campus. Set to open this summer, C3SR will work to build integrated cognitive computing systems modeled on IBM's Watson technology. The systems will ingest reams of data pertaining to college curriculum, including videos, lecture notes, homework, and textbooks. After reasoning through the vast datasets, the systems will eventually attempt to pass a college level exam.