Engage your customer using cognitive analytics in IBM Watson Explorer
IBM® Watson Explorer is a cognitive search and content analysis platform that enables you to gain insights from your data. The solution allows you to search and analyze structured, unstructured, internal, external and public content to uncover trends and patterns. These insights help you improve decision-making, customer service and ROI. Leverage built-in machine learning, natural language processing and next-generation APIs to gain more value from your data. With analysis and insight, you gain a complete view of customers, in context, to help you improve your business. You will have first hand experience with the tool on your own laptop in this session. Come, learn and expand your knowledge in the growing field of cognitive content analytics.
Rakesh Ranjan is a Program Director and Architect of Cloud Data Services at IBM Silicon Valley Lab in California. He has designed and developed several data and analytics services in Bluemix that powers next gen cognitive applications. He also teaches a graduate level software engineering program at local San Jose State University.
Experienced Software Engineer with a demonstrated history of working in the information technology and services industry. Skilled in Communication, Node.js, Mac, .NET Framework, and HTML. Strong engineering professional with a B.S. in Computer Science from University of Houston-Downtown.
Dedicated and self-motivated software engineer with 3 years of experience in varied technologies. I have worked as a web developer, Desktop application developer. I have always been open to exploring work in new technologies and challenging situations.
Aiming to build a career in computer science and research and succeed in an environment of growth and excellence by applying my skills and knowledge. I have designed and created "Download and Go" version of an IBM software which helped customers running IBM Information Governance Catalog with a delightful experience doing it. I have created self served apps for Mac and Windows (Linux coming soon) that orchestrated deployment of the IGC software using docker container on customer's laptop.
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