Workers handling nonroutine problem-solving tasks in collaborative workflows spend too much time retrieving, validating, consolidating, and normalizing data spread across enterprise systems, desktop applications, and external sources with little analytical support for the problem-solving tasks themselves.
Goals and Objectives
Provision knowledge workers with curated structured and unstructured data as needed in the course of their work, analytics tools for ad hoc exploration and interrogation, and collaboration tools to exchange knowledge work products with intact problem-solving context and data lineage.
Cloud, machine learning, text analytics, natural language processing, AI-enabled image analytics, IoT, AI-enabled knowledge search and retrieval, intelligent assistants, causal reasoning and hypothesis generation, dialogue management, training, social collaboration, digital workspace, and mobile devices and MDM/UEM
Use Case Summary
Empower knowledge workers with AI-assembled or easily assembled information and analytics tools to handle problem-solving tasks in operations, merchandising, marketing, supply chain, and human resources.