Empathi’s Denims platform uses low-code hyper-automation to tie business systems and data together in a knowledge fabric. The Machine Learning explanation shows the knowledge components needed. This page shows the process components. The illustration below shows Denims core components:
Denims Hyper-Automation is a low code workflow and rules capability with digital source adaptors that permit rapid implementation of AI capabilities that touch any combination of business systems. Augmenting existing systems with AI has never been easier. You talk to your data and your data talks to you.
The use case is centered on understanding the meaning of all data and documents and using that to respond to user questions. Of course, not all users can access all data, so the metadata model of the EKM2 Catalog uses tags for least privilege access management.
Empathi AI ties your requests to your business data and documents at a conceptual level with deep understanding.
Natural Language Interface: interact with data by asking English language questions
Profile Manager: Learns your preferences, areas of focus through clarifying questions – no prompt engine needed
Super Search: Like Google and ChatGPT with both external (web) data and internal business data at your beck and call
Insight Generator: automatically builds and executes queries to feed your favorite BI visualization tool
The effective combination of these tools enables rapid and seamless integration of new AI capabilities in businesses of any size at dramatically lower cost than LLMs and GPT-based solutions.