KMWorld Trend-Setting Products of 2024

It's clear from the increase in new and exciting products designed for KM practitioners that KM is gaining in importance within organizations and being recognized as critical to the success of enterprises. The ability of technology to streamline information flows, summarize lengthy documents, surface hidden information from existing data, and make search results relevant and actionable gives companies a competitive advantage.

Access Unify - AI-driven digital transformation technology and service delivered with a client-centric approach

Access Unify ensures a streamlined, digital-first workflow, minimizing the need for extra training or staffing. It revolutionizes file indexing, storing, retrieving and securely destroying records. Imagine having immediate access to crucial documents, at any time, wherever you are.

eGain AssistGPT™, eGain’s Generative AI Assistant for Knowledge Automation

eGain AssistGPT™ helps customers find answers in their journeys and contact center agents, knowledge authors, and business analysts in the flow of their work.

Lexsoft T3 GenAI Knowledge Management

T3 GenAI applies AI to automatically extract relevant information, create abstracts, and accurately mine the metadata to classify them in the KM system. This removes the need for KM professionals to manually appraise lawyers' documents or ask questions to identify, curate, and classify the knowledge documents.

Integration impasse: Why organizations can’t wait for data integration before deploying AI

The need for comprehensive data management will always be important, and there are many other benefits of digital transformation, but CIOs don't need to delay GenAI projects until the completion of a giant data centralization effort. By adopting a more flexible approach that incorporates GenAI and next-generation BI tools, businesses can navigate the complexities of modern data ecosystems while driving innovation and maintaining a competitive edge in an AI-driven world.

The transformative role of AI in the next generation of records management

While there are many ways AI will disrupt and advance the records management process, these four key applications will make the biggest impact: automating document classification and tagging, records retention and data hygiene, leveraging natural language processing for record analysis and predictive analytics for records management.

Navigating the risks and challenges of AI (quickly): Create an AI governance program

A strong AI governance program is essential to ensuring compliance and reducing risk. An equally important benefit is that by developing the governance program at the same time the AI application is being developed, issues can be identified early, thus avoiding system redesign or rework on the tail end.

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.

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.

The rise and potential fall of the citizen developer

The citizen developer movement was heralded as a revolution. Like most revolutions, things have sometimes gone differently than planned. The logic is sound, empowering those who know the business best to build the tools and systems needed to do their job. Ah, if only things were that simple …

The third place of knowledge management

The third place I alluded to goes far beyond mechanistic KM or curated knowledge and takes us into the actual world of tacit knowledge. Here, knowledge comes from and often remains as personal experience, impressions, and intuition; it's undocumented and often hidden and elusive.

Should we go back to paper-based KM?

The sheer volume of largely useless data we have accumulated across the years severely limits the ability of AI to work well, and it comes at a heavy environmental and financial cost.

Integrated Information Management Roadmap

Boost Document Accessibility with Effective Indexing Strategies and Records Classification Methods

The Trend-Setting Products in Knowledge Management 2024

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