November/December 2023 [Volume 32, Issue 6]
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.
2023 Readers' Choice Award- Best Enterprise Search: Lucidworks - Lucidworks makes search a superpower.
There is undeniable potential in generative AI and large language models, but these tools alone come with significant gaps and challenges. Fusion provides the data enrichment, facet controls, security trimming, recommendations, and merchandising intelligence needed to deliver transformational AI capabilities.
KMWorld Readers' Choice Award Winners 2023
It borders on the incredible the speed at which KM tools, products, and services have evolved recently, creating challenges for those charged with identifying the best ones for their KM projects. We hope that our Readers' Choice winners' list will be a resource for you to choose wisely.
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.
KM leverages data mesh
An underlying premise of data mesh is that business units should be able to control their own data and interact with one another by sharing data.
In Memoriam - Remembering Larry Prusak
Decoding the data deluge; use ECM to navigate the unstructured content labyrinth
Obtaining contextual knowledge about how users create and interact with unstructured data is an essential business practice to plan for data storms effectively. Enterprises need to understand that it's not enough to know these user activities but also must take remediation action when necessary.
KM in Practice
Hitachi Omika Works adopts Qlik to respond quickly to supply chain challenges
Hitachi Omika Works leverages Qlik analytics alongside other services to enable risk analysis for faster and accurate response strategies
U.S. Steel and Google Cloud collaborate to build generative AI applications for the manufacturing industry
MineMind will be U. S. Steel's first gen AI application to launch
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.
The Future of the Future
The fun side of future tech
Everything about the future doesn't have to be so frightening or serious. Instead, let's take a break from all of that and look at the fun side of what lies ahead.
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.