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.

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.

Experts predict AI will continue impacting KM in 2025

AI continues to disrupt the knowledge management space and experts in the field predict that it's a trend that still hasn't reached its full potential, yet. In 2025 there's more room for improvement.

Democratizing software development with no code/low code

By enabling greater productivity and accelerated software development timelines, no code/low code is on the rise.

KMWorld 2023 sees a sea change

Most of the papers presented at the 2023 conference did not report on what had changed. Instead, they assumed and predicted that there would be substantial change.

Microsoft’s Copilot: A force multiplier for KM

Generative AI (GenAI) applications will increasingly transform organizations' IT platforms. Companies of any size that opt to create robust apps on their own, however, are in for a protracted, complex, and expensive experience.There's a better way: Buy into what I call a GenAI ecosystem from a vendor in whose tech you are already invested. These ecosystems are comprised of the sum of services customers mostly need to build and launch robust apps.

On Chat AI and BS

So, I'm sticking with hallucinations for all of chat AI's statements, true or false. But that leaves us with a question: Why isn't there a word that perfectly expresses this situation? The answer is easy: LLMs are doing something genuinely new in our history. Our lack of a perfectly apt verb proves it.

Inefficient at the speed of light

While process mining started years ago as a mainly data-driven exercise, its stated goal is to be knowledge-driven. Given KM's multidisciplinary scope, we can play a major role in achieving that goal. Any process, no matter how simple, has the potential to reach across an entire business ecosystem, including all stakeholders. This seems like a perfect match for collaborative workflow, AI/ML, knowledge graphs, human sensemaking, and many of the other arrows in our KM quiver.

Pushing the boundaries of knowledge curation

Knowledge democratization occurs in two directions, seemingly engaged in an endless tug of war: acquisition and dissemination.

The flip side of generative AI: Extractive AI

Extractive AI takes a more comprehensive and transparent approach to machine intelligence.

How Telecoms Can Super Charge Their Productivity with Knowledge Management

Nestlé improves end-user experience with RightAnswers

Paychex’s Road to Award-Winning KCS™

The Power of Personalization in the Contact Center