Farrell, Robert G. (IBM Research) | Lenchner, Jonathan (IBM Research) | Kephjart, Jeffrey O. (IBM Research) | Webb, Alan M. (IBM Research) | Muller, MIchael J. (IBM Research) | Erikson, Thomas D. (IBM Research) | Melville, David O. (IBM Research) | Bellamy, Rachel K.E. (IBM Research) | Gruen, Daniel M. (IBM Research) | Connell, Jonathan H. (IBM Research) | Soroker, Danny (IBM Research) | Aaron, Andy (IBM Research) | Trewin, Shari M. (IBM Research) | Ashoori, Maryam (IBM Research) | Ellis, Jason B. (IBM Research) | Gaucher, Brian P. (IBM Research) | Gil, Dario (IBM Research)
IBM Research is engaged in a research program in symbiotic cognitive computing to investigate how to embed cognitive computing in physical spaces. This article proposes 5 key principles of symbiotic cognitive computing. We describe how these principles are applied in a particular symbiotic cognitive computing environment and in an illustrative application.
Functional patterns reveal which parts of the organization commonly deploy cognitive initiatives. For all users, Information Technology (IT) is the most common function--66 percent of advanced users spearhead IT-related cognitive initiatives and 70 percent of planners intend to start here. Since IT is typically the test-bed for new solutions and the nervous system for organization-wide initiatives, it is perhaps not surprising that all early adopters look to this conduit to also make cognitive adoption pervasive. Data Analytics, another key player in organizational cognitive initiatives, is the second most common entry point with 59 percent of advanced users already deploying cognitive projects in this functional area, and 69 percent of planners gearing up for cognitive. As Data Analytics emerges as a formal function within more organizations, and roles like the Chief Data Officer (CDO) become more common to address the influx of organizational data and data-related challenges, Data Analytics, like the IT function, can also serve as a silo breaker, allowing cognitive intelligence to permeate throughout the organization.
February 16, 2017 Written by: Susan C. Daffron Today's businesses are capitalizing on cognitive capabilities to gain a competitive advantage. However, not everyone embracing cognitive is entirely sure what it can do for them. According to the study, 46 percent of early adopters struggle with a roadmap for adoption and only 7 percent report that they have a comprehensive, company-wide strategy.1 Once you understand the possibilities of cognitive technology, it can open up new opportunities for innovation. Here are three examples of organizations that use cognitive technology today to transform their businesses.
Between AI-powered chatbots and gadget-based voice assistants, cognitive computing capabilities have captured the public imagination. But consumer products are just the tip of the iceberg. Under the surface, cognitive computing adoption in the business world is growing rapidly. In fact, IDC predicts that global spending on cognitive systems will grow to more than $31 billion by 2019. And within the next two years alone, half of all consumers are expected to interact with cognitive technology on a regular basis, even if they don't realize it.
At Chatterbox Labs we are working with leading global technology and consulting organisations who are delivering our cognitive technology into their clients with remarkable speed and scale that is delivering exponential results. There are seemingly hundreds if not thousands of use cases across industry and geography that our Cognitive Engine can be applied to and the results are astonishing. 'Work' that used to take days, weeks or months to complete is literally being reduced to mere seconds opening up possibilities to further streamline or enhance other areas of'work' in our partner client companies. Make no mistake our mantra is not to replace humans but to augment and enhance their existing skill-sets. Everyone knows there is inefficiency embedded across organisations; whether they are public or private sector; large or small.