At this point is there any need for us to get involved with the old-world stages of motivation and vision and discovery and finally an action decision? Perhaps at the first conscious trigger point for us, say a particularly uncomfortable episode during which we feel really mad at the boss and perhaps text something about this to a trusted colleague, our personal AI simply lights up the screen of the smartphone and advises us that we now have a new job working in the data science group at a global social networking firm for twice the annual take-home that we now make plus stock options. Our AI has been negotiating with the firm's AI for at least the last several seconds and they have determined that our professional qualifications, personality type, geographical preferences, curiosity and predilection for innovation make a superior match with the firm's hiring profiles. The plane ticket is already booked, our 401K already transferred.
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.
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.
To build an effective and scalable solution, developers need technology that can be deployed around the world and still provide results with high confidence. To that end, we've spent the last year investing in making our Cognitive Services enterprise-ready and bringing them to general availability, ready for production use. Cognitive Services are a set of intelligent APIs and services that are used by more than 1.2 million developers and thousands of businesses throughout 150 countries across every industry from retail to healthcare to public sector to manufacturing and non-profit organizations. We've deployed more services into the Azure data centers around the world, written more documentation in multiple developer languages, re-architected products to change the way we store and retain data in order to give controls to users over their data, adhering to the highest standards available. All while meeting strict SLA standards that we require for every Azure service.
For companies struggling to leverage digital transformation, there is new hero in town, and it's called intelligent automation. Intelligent automation is definitely much more than hype. But before companies carried away, they must understand and focus more on the "why", "where" and importantly "how" they want to use intelligent automation. Understand that the why is really about the business case, and how, being the approach (tools and process) and with where being the use case. It is imperative for business, be a SMB or enterprise to understated not just how this new solution can benefit, but also its limitations.