How to Build a Successful Proof of Concept for Search Accuracy with Amazon Kendra
Workshop
Traditional enterprise search solutions are struggling to find accurate answers in unstructured data. Powered by machine learning, Amazon Kendra is a cognitive search service that uses natural language understanding to find answers more accurately than traditional search solutions. Start making sense of unstructured document content, interpret natural language queries, and get actionable answers and relevant information.
We will first cover trends in enterprise search, common use cases for Amazon Kendra and walk through our ROI pricing calculator. Then we’ll show you how to easily configure your enterprise content sources, create an index, and run queries to find relevant results in the form of accurate answers and FAQs with Amazon Kendra.
Persistent will update your request, which will take no longer than 3 business days
Jiani Zhang is President of the Alliance and Industrial Solution Unit at Persistent Systems. Prior to this role, Jiani was the General Manager of Industrial Sector for Persistent Systems. Jiani has extensive experience in management consulting, marketing, product development and technology management. She also holds expertise in building and growing a business with P&L responsibility and leading teams in business strategy, offering & product development, go-to-market, and sales execution. Prior to Persistent, Jiani has also served as Director of Offering Management for IBM Watson IoT Platform and Head of Offering Strategy for IBM Industrial IoT where she pioneered the creation of the Industrial Analytics/AI IoT solutions.
Vice President, Principal Analyst Serving CIO Professionals
Jeffrey helps CIOs and digital leaders succeed by working with them to improve their software delivery capability and by helping them assess the relevance of emerging software technologies. As a 25-plus-year software industry veteran, he’s helped clients improve their development shop culture, apply Agile and continuous delivery best practices, and build successful developer ecosystems. Jeffrey’s been a developer; managed development teams; built award-winning commercial development tools; and, over the past decade, has helped Forrester clients navigate mobile, cloud, IoT, DevOps, and low-code technologies and tools.
Previous Work Experience
Jeffrey has been with Forrester since 2006. Prior to joining Forrester, Jeffrey worked at IBM, Rational Software, and was part of Accenture’s Advanced Systems Group.
Education
Jeffrey holds a B.S. in economics from the Wharton School at the University of Pennsylvania.
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