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Description:

Roughly 90% of the world’s data was created in the past two years, and 80% of that data is unstructured. Valuable insights are hidden in this data — from emails to customer support discussions to research reports. This is incredibly useful information, if it can be found, interpreted, and utilized. When an enterprise can harness this massive amount of unstructured data and transform it into something meaningful, there are endless possibilities for improving business process, reducing costs, and enhancing products and services. If you're trying to build an intelligent application that uses unstructured data, then you need to understand the fundamentals of natural language processing (NLP). Join Tom Markiewicz as he overviews NLP and discusses real-world examples of how NLP has been used to build applications in the enterprise.

In this webcast, you'll learn:

• The fundamentals of NLP
• How deep learning is changing the business landscape today, and potential trends on the horizon
• Case studies and useful enterprise examples
• Practical tips for applying NLP in the enterprise with IBM Watson, including demonstrations

About Tom Markiewicz, Worldwide Developer Advocate at IBM

Tom is a developer advocate for IBM Watson. He has a B.S. in aerospace engineering and an MBA. Before joining IBM, Tom was the founder of multiple startups. His preferred programming languages are Ruby and Swift. In his free time, Tom is an avid rock climber, trail runner, and skier.