November/December 2024 [Volume 33, Issue 6]

Features

2024 Readers' Choice Award- BEST AI - DOMO- Empower Your Business with Secure, Flexible, and Conversational AI

There is undeniable potential in generative AI and large language models, but these tools alone come with significant gaps and challenges. AI often needs additional technologies to create guardrails around data security and response accuracy.

2024 Readers' Choice Award- BEST CX AND SUPPORT - eGain - Safely harness GenAI with controls and guardrails

The eGain Knowledge Hub is a rich, "whole-product" AI knowledge solution that has created transformational value at speed and scale for Global 1000 companies and government agencies alike.

2024 Readers' Choice Award - BEST KNOWLEDGE GRAPHS - AllegroGraph: Neuro-Symbolic AI Capabilities for the Enterprise

AllegroGraph is designed to seamlessly integrate with LLMs, providing the most secure and scalable AI solution for enterprises. AllegroGraph offers a comprehensive solution platform including Large Language Models (LLMs), Vector generation and storage, Graph Neural Networks, Graph Virtualization, GraphQL, Apache Spark graph analytics, and Kafka streaming graph pipelines.

2024 Readers' Choice Award - BEST INFORMATION GOVERNANCE - KnowledgeLake - Automating the capture, processing, and management of content

KnowledgeLake's solutions are designed to improve data accuracy, reduce operational costs, and enable faster decision-making, particularly within industries that handle large volumes of content, such as financial services, government, and healthcare.

KMWorld Readers' Choice Award Winners 2024

We hope this list of Readers' Choice Awards winners will be a resource to help you choose wisely when looking for new solutions. As the field continues to evolve, recognizing excellence and innovation remains a constant, even as how knowledge sharing is accomplished morphs in tune with technology changes.

Technology to connect people and knowledge

The ability to centralize the knowledge found in the distributed tools, repositories, and databases for KM practitioners is the defining characteristic of today's technologies. Generative machine learning models not only play pivotal roles in managing that knowledge to make it meaningful to users, but also in enabling them to interface with it on-demand, for ad-hoc use cases.

What’s next in KM: All roads lead to AI

KM and AI are a natural team—their combined value can only be expected to increase in the future. As AI-powered technology becomes more integrated with both daily work functions and strategic planning, enterprise knowledge will come closer to achieving its full potential.

Level up your change management with these three key practices

Practicing the art of change management means accounting for organizational culture, which refers to the ingrained social norms and beliefs of an organization. It is comprised of values, belief systems, leadership styles, collective unspoken assumptions, stories, and rituals, as well as an organization's character and orientation.

Lucidworks shares results from a global survey about GenAI adoption, fears, and strategies in 2024

Sinoway defines GenAI as it applies to the business environment as an extension of how AI and machine learning have been used for decades, which had been primarily numeric. GenAI now allows for the same applications, but with text, video, and audio. The same tools we applied to numbers we're now applying to words. GenAI analyzes literally millions, even billions, of data-points and makes predictions about the next letter in a word, the next word of the sentence, or the next sentence in a paragraph. It then comes up with a response to answer a query. Its predictive qualities usually produce good answers, but the possibility of hallucinations, which is what incorrect predictions resulting in wrong answers are called, is worrying.

ViewPoints

Solving PDF form challenges and boosting workflow automation

What organizations that depend on dynamic documents really need are solutions that work seamlessly across all platforms. This way, organizations can eliminate compatibility issues and reduce most—if not all—of the costs that are associated with restricted formats.

Why ubiquitous AI will mean more, not fewer, white-collar jobs

One thing is clear: The widespread adoption of GenAI will not lead to fewer knowledge jobs, but rather, it will pave the way for their growth and evolution.

KM in Practice

Precisely beefs up its Wildfire Risk platform to help communities manage the threat of wildfires

As the risk of wildfires in developed areas continues to increase, customers can now access highly accurate data for the protection of people, properties, and land

David Weinberger

Links conquer the universe

We can talk about these relationships as links. They're not expressed in blue underlined text, and you can't click on them. But they are the relationships among words that matter in any particular circumstance. They are the relationships that give words meaning. And as in life, those meanings are multiple and contextual. Without those relationships, there is no language.

The Future of the Future

Trees, chains, and brains

Today's AI has many different flavors and architectures, along with massive amounts of memory and processing capacity. We could probably make better use of this computational power by looking at how we can improve the quality of our queries and, as a result, make better quality decisions.

Ethical Innovation

Agentic AI—So hot right now!

We are in the earliest stages of Agentic AI, and, much like the early days of RPA and GenAI, there's a lot of excitement but also a lot of uncertainty. While the potential benefits are enormous— streamlined operations, lower costs, fewer human errors—there are equally important concerns about job displacement, bias in AI decision making, and a lack of transparency in how these systems operate.