Issue link: https://read.uberflip.com/i/1444464
"With Amazon Kendra, we expect our engineers and researchers will find information much faster than they did before. Our scientists are enthusiastic about this new superpower and we expect them to be able to innovate faster, collaborate more effectively, and accelerate the ongoing stream of unique products for our customers." David Frazee, vice president of 3M As a business evolves, so does the information it holds. Content and context change, as does the information need. For example, the most effective troubleshooting steps for a networking device may change with subsequent versions and correspond to the different ways it is configured, integrated, administered, and used. Intelligent search handles this dynamic by using machine learning for user behavior analysis, knowledge graph rewiring, and relevance tuning of results. New content is processed by machine learning models or can be manually adjusted to ensure search results are continuously calibrated for precision. ML-powered intelligent search extracts and delivers answers and interpretations from the knowledge bases throughout the organization. But human intelligence adds a dimension of undocumented experience and creativity. For questions that cannot be answered by content alone, intelligent search identifies and recommends human experts from within the organization or across the business community who can offer solutions, opinions, and collaborative input. This approach enables organizations to actively collaborate and fast-track innovation, implementation, and adoption around new technologies and products. Ensure employees have access to relevant and fresh insights Promote effective collaboration with experts across the organization 6 7 3M is a Minnesota-based multinational corporation that produces adhesives, medical products, and more. When 3M's material scientists lead new research, they need access to information from prior research that is buried in their massive knowledge base. To address this problem, 3M is using Amazon Kendra to create a central search console to handle natural language queries from their scientists quickly and accurately. 9 9