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Let Watson recommend your next job - Watson


Eric is feeling complacent at his current job and thinks that he is ready to jump back into the job market. He knows of some companies that he may be interested in working for, but has no idea of the roles they offer, if the work would interest and challenge him, and if the culture would be a good fit. How many of us can empathize with Eric? With Eric's challenge in mind, a group of IBMers developed a product code-named "Project Esaki" that uses Watson APIs to improve a potential candidate's job search experience. They developed Esaki at a global internal IBM hackathon called Cognitive Build that saw over 8,000 ideas created from employees across IBM.

As Hollywood taps into A.I., what will you build with IBM Watson? - Watson


Hollywood is beginning to recast artificial intelligence from being the lead character in movies to becoming the leading technology driving the industry. Producers and directors alike are discovering the power of a new kind of AI assistant: IBM Watson, the cognitive computing system that is enhancing the work of the human imagination and giving artists, filmmakers, and other creative minds the tools to uncover new ways of thinking and problem-solving. Imagine the ultimate "super-assistant" on the set to help make hundreds of decisions and take care of mundane tasks that free you up to concentrate on making the picture a box office success. IBM Watson can do this by pushing the boundaries of what producers and directors can create on the silver screen. It can analyze volumes of data -- think photos, online content, scripts, video -- and then recognize, inform and project from the patterns it identifies.

AI-powered IBM Watson to help Indian enterprises go digital


The year 2017 is predicted to be that of Artificial Intelligence (AI) and machine learning -- redefining the way humans communicate with devices to not only improve daily life but also boost businesses, even in India. To make this happen, here comes IBM Watson -- a cognitive system enabling a new partnership between people and computers. Named after IBM founder Thomas J. Watson, the supercomputer combines AI and analytical software for optimal performance as a "question answering" machine that thinks like a human. For IBM, cognitive is digital business plus digital intelligence. With Watson, people can analyse and interpret all of their data, including unstructured text, images, audio and video.

Macy's taps IBM Watson to improve in-store shopping app


Macy's is turning to IBM's Watson to improve the in-store shopping experience. The retailer on Wednesday debuted "Macy's On Call," a mobile app rooted in GPS technology that will use Watson's machine learning and cognitive computing technology to assist shoppers as they wander through its department stores. The app will apply Watson's natural language processing (via its Natural Language Classifier API) in order to let shoppers ask questions such as "Where can I find the swimsuits?" Navigation is being provided by Satisfi's location-based software, which accesses Watson's technology from the cloud to make the whole experience come together. As time goes on, the app will get smarter as it learns more about each store's customers and the frequently asked questions for each location.

3 ways cognitive technology can help you better understand people - IBM Watson


IBM surveyed more than 600 decision-makers about their cognitive initiatives and 62 percent of respondents stated that the results of their cognitive implementations exceed expectations*. Cognitive services, like those offered byIBM Watson, can help you find out how your customers feel and help you predict what they might do. With Watson, IBM is pioneering the development of models that can tell you about different and often hidden, aspects of an individual. These insights can then be used by an organization to deepen relationships, shape initiatives and drive innovation. REST APIs, like Watson Personality Insights and Watson Emotion Analysis, allow organizations to learn about an individual's: Organizations can now train apps to quickly analyze and interpret large volumes of unstructured sensory data.