2023 Readers' Choice Award- Best Knowledge Graphs: Franz Inc. AllegroGraph - LLMs and Knowledge Graphs for AI in the Enterprise

Franz Inc. not only offers cutting-edge technology but also provides a suite of services for building industrial-strength Knowledge Graphs. By combining the semantic richness of AllegroGraph with the natural language processing capabilities of LLMs, organizations can unlock the full potential of their data, ensuring that AI-driven insights are grounded in facts.

The future of knowledge management: Talking to documents with generative AI

The fundamental pillars of KM—taxonomies, domain-specific data models, knowledge extraction, search, and text analytics—are as pertinent today as they ever were. Now, generative AI has rendered these constructs much more accessible to the enterprise. Its long-standing utility will be determined by surmounting models' tendencies to generate contrived, inaccurate responses while embedding them into core KM processes.

Lucidworks Integrates Generative AI with Fusion to Make Search a Superpower

Lucidworks can now seamlessly integrate with any large language model (LLM) and provide the necessary guardrails to validate Generative AI responses, ground them in truth, and minimize errors such as hallucinations.

Mindbreeze InSpire Integrates with Large Language Models to Elevate Natural Language Question Answering

Mindbreeze InSpire captures, stores, and manages data within a company, allowing companies to benefit from incorporating pre-trained models trained on vast amounts of data.

Truth, lies, and large language models

The good news is that the problem of chat AI's proclivity for hallucinating is well-recognized by the organizations creating these marvels, and they realize that it is a danger to the world and to their success, not necessarily in that order of priority. Until that problem is solved, chat AI engines need to lose their self-confidence and make it crystal clear that they are the most unabashed and charming liars the world has ever seen.

When is good enough enough?

Our goal should be to improve the quality of knowledge assets and their accuracy and relevance in use. Much of this will come from human expertise and effort, increasingly combined with the power of AI.

AI technologies upending traditional KM

If we are not careful and proactive about it, the concept and importance of knowledge itself may soon become blurred or lost.

Knowledge Graphs Expose Data Connections

The Content Guide to Better Support Content

More Than Just Solutions: Create Knowledge While Solving Customer Issues

Flip the AI Switch to Brilliant Customer Satisfaction