Current Situation
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, analytic tools for ad hoc exploration and interrogation, and collaboration tools to exchange knowledge work products with intact problem-solving context and data lineage.
Technology Deployed
Hardware: Enterprise hardware, personal devices, edge computing
Software: AI/ML, RPA, generative AI, social collaboration, supply chain software, marketing software
Services: Business services, IT services
Other: Cloud, IoT
Use Case Summary
Empower knowledge workers with AI-assembled or easily assembled information and analytics tools to handle problem-solving tasks in operations, marketing, supply chain, and human resources.