Industrial Sessions

Abstract

Cognitive Intelligence refers to data processing methods that are neither linear nor deterministic, but learn and interact with people in order to extend natural human functions and capabilities while understanding natural language, reasoning, forming hypotheses and constantly learning. Commonly referred to as artificial intelligence, this new generation of technology and the cognitive systems are dramatically touching every facet of work and life – with the high potential to radically transform them. They can ingest and understand all forms of data (including dark data), being produced at an exponentially accelerated rate, creating a new approach of the cognitive assisted work. There are three main capabilities of cognitive systems to be touched in the talk:  Evidence-based reasoning with extended data capturing and analytic;  New insights and connections from within vast amounts of various information;  Change of the way humans and systems interact; This session will try to answer possible important questions: How can cognitive computing drive innovation and make measurable gains in business performance? How can these methods be integrated into current business-related IT operations? How will we decide when cognitive approaches make more sense than traditional analytics one? It will also be explained, with an example of IBM Watson Cognitive System, how it operates and interacts with humans on business facets in practice of selected areas. About the Speaker Grzegorz Dobranowski is a Business Transformation Leader of IBM Poland and has been holding, throughout his 25 years in IBM, several managerial and executive positions in both Enterprises and Technologies units and divisions – locally and internationally – with know-how and experience in deployment of IT solutions in the management systems of business and society. Before joining IBM, he was running his own systems and software development company, active on the European market, designing and implementing data-driven solutions in distributed IT environments for