The KMWorld AI 100: The Companies Empowering Intelligent Knowledge Management

It's easy to become overwhelmed, even awestruck at the amount of information about AI, particularly GenAI, being thrown at us on a daily basis. The ability of AI technologies to process vast amounts of data, recognize patterns that humans can't see, and generate new knowledge and insights boggles the imagination. The challenge faced by knowledge managers is determining what is actually useful and will have staying power.

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: 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.

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.

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.

KM and AI: Experts look at what lies ahead for 2024

AI and dreams of its potential rocked this past year as companies moved quickly to embed and offer their own version of chat assistants, predictive and generative AI, and more

It’s not about knowledge, it’s about action

Organizations cannot continue to digitally hoard knowledge. Investments in knowledge technology have to pay and provide an ROI. It all starts by making different decisions.

The end of tech glory days

The tech industry's glory days may be fading a little, but this is not a time for despair. It's an opportunity for renewal. By shifting to a needs-driven approach, the industry can ensure its relevance in a rapidly changing landscape.

Return on … Infrastructure???

As our physical and IT infrastructure continues to grow in size, complexity, and vulnerability, people and the knowledge they possess will play an ever-increasing role.

Dispatches from the edge

Edge-of-chaos decisioning means being continually informed on the critical elements needed to make better, faster decisions.

The convergence of convergence

The more systems and subsystems we attempt to stitch together, the greater the unpredictability.

IDC Spotlight: From Siloed Content to Streamlined Workflows – How a CCMS Powers Digital Transformation

How to Choose an AI guided Knowledge Management System?

CX Knowledge Manager Playbook

Extracting knowledge from your data:Learn how a semantic layer helps you find, access, integrate, and re-use your enterprise knowledge.