AI 100 Trailblazer: Enterprise Knowledge - Taking AI Beyond a Prototype: At the Intersection of Knowledge and Data Management

Throughout the many AI solutions we have developed within both the public and private sector, we differentiate ourselves by working alongside our clients to weave KM and data management practices through knowledge graphs and a semantic layer and build user-focused AI solutions that are embedded within organizational processes, support the organizational mission, and reflect how people and processes fuel enablement and adoption.

AI 100 Trailblazer: Lucidworks - Your Trusted Partner for AI-Powered Search and Discovery

Lucidworks' total AI solutions seamlessly integrate cutting-edge generative AI models with over a decade of proven search expertise. We create personalized experiences for customers and employees, driving engagement and results across key applications like knowledge management, commerce, and service & support.

AI 100 Trailblazer- M-Files: Unleash the benefits of knowledge work automation and superior GenAI experiences

The M-Files metadata foundation drives superior AI experiences by creating a unique, customer-specific information model that surrounds all content, ensuring safe and high-quality results. With M-Files, organizations automatically get the mandatory enablers for successful AI deployment: connectivity, confidentiality and curation.

AI 100 Trailblazer: Northern Light optimizes GenAI for market and competitive intelligence research

Key to the accuracy of SinglePoint's GenAI responses is Northern Light's use of retrieval augmented generation (RAG); only sources from vetted content collections within the client organization's SinglePoint portal— business news, primary or licensed secondary market research, thought leaders' commentary, technology white papers, conference abstracts, or industry and government databases—are tapped for answers. There's virtually no risk of "hallucination" since SinglePoint does not rely on a commercial large language model's internet-based training data.

AI 100 Trailblazer: Openstream.ai® - Conversational AI for Visionaries

Openstream.ai serves global enterprises with a visionary platform continually tuned by world-class AI experts, orchestrating the latest AI approaches and tools to deliver state-of-the-art conversational experiences.

AI 100 Trailblazer: RightAnswers - Future-Proof Your Contact Center: Harnessing AI for Superior Knowledge Management And Customer Service

Your contact center is crucial to your company, so equipping agents with cutting-edge technology is essential for delivering top-notch service. RightAnswers from Upland Software, a leader in AI knowledge management, simplifies creating, maintaining, and accessing relevant information when needed.

AI 100 Trailblazer: Sugarwork - Unlocking the 80% of institutional knowledge not captured by existing KM tools

Sugarwork is designed for companies to capture institutional knowledge—both tacit and explicit—and make it accessible to anyone in the organization. It leverages GenAI to enable organizations to capture the information, insights, and nuances of daily operations.

Gaining competitive advantage from non-textual information

With the right approaches, tools, and self-service facilities, it is possible for users possessing any degree of technical aptitude to quickly find and avail themselves of non-textual content.

AI Trailblazer Profile: Talkdesk- Leading the charge against bad customer experience

Talkdesk Knowledge Management leverages AI to enhance self-service and agent-assisted automation. It consolidates articles from third-party platforms for federated search and uses LLM-based generation and semantic search for faster content retrieval.

AI for KM: Unlocking the future with a human-centric focus

Developing and honing your KM team's change management capabilities are two of the most important things you can do to help your organization prepare for AI and implement it effectively. Partnerships with IT are also critical, not only for helping KM implement new technologies, but by also providing opportunities for KM to provide value back to the business.

How (and when) to update your KM strategy

Ensuring that KM endeavors support different access points, systems, and user preferences is a prime consideration for updating KM strategies. Vendors may also supply newfound capabilities (which an organization previously hadn't had access to) that warrant updating a KM strategy to avail organizations of new possibilities.

Cloud technology: A synergistic environment for KM and generative AI

Cloud technology may have become a commodity to some extent, but it is not a simple commodity. The technology that allows cloud computing to be dynamic and agile is composed of many interrelated components, which means that when one thing goes wrong, the problem can cascade.

Guidde - Helps you explain the most complex tasks in seconds with AI generated documentation

Guidde is the generative AI platform enabling teams to deliver know-how 11x faster for easy sharing with customers or employees. Market leading companies use Guidde video documentation to answer customer questions, onboard and train employees and drive self service, enabling teams to perform better.

Personalization to support customer engagement and boost revenue

Over time, consumers have become accustomed to personalized results when they search for products and services. They are demanding that the brands they deal with have a deep understanding of their individual needs.

Using Generative AI for real-world KM solutions

The overarching utility derived from GenAI capabilities relies on organizations' proficiency to reduce redundancy to minimize inaccuracies, monitor outputs, and trace responses to the underlying data sources from which their responses are produced.

Master These Five KM Practices for Success

Knowledge management is a journey— not a project or a technology—and people are at the heart of it. Whether an organization is starting a new KM program or continuing to evolve and expand an existing program, it is critical to have a documented strategy and focus on all the essentials.

Promises and Perils of AI for Enterprise Knowledge Management

This survey reveals both excitement and trepidation around enterprise AI adoption for knowledge management. Long-standing problems around information access, data quality, and speedy acquisition of needed information are the puzzle pieces that AI has the potential to solve.

Overcoming data silos: A range of options

The options are many and varied when it comes to taming silos. The specific approach should depend on the use case, the organization's existing knowledge assets, and the strategic goals.

Modern KM tools and techniques for collaboration

Modern collaboration means and mechanisms ultimately make it easier, less risky, and more productive for organizations to work together within business units, between them, and between organizations. Constructs such as data mesh architecture, data fabric architecture, data access governance platforms, data catalogs, and process automation solutions are based on sharing information between parties—and make doing so tenable.

The future of KM is not simply AI

Until KM systems can achieve trust in AI, a totally AI-centric workplace will be a fantasy. The future of KM will be based on collaborative work habits, fueled by technology that encourages knowledge sharing, enhances productivity, supports employees to have a healthy work life, and accepts that not every aspect of knowledge management is technology-reliant.