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Governance
Information and technology governance is a subset discipline of corporate governance, focused on information and technology and its performance and risk management.

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Features

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.

Mindbreeze’s 360-Degree View Revolutionizes Data Insight

Mindbreeze's 360-degree view is an indispensable solution for organizations aiming to stay competitive in an increasingly complex digital landscape. By providing tailored, real-time insights, it empowers professionals across various roles to make informed decisions quickly and efficiently, ultimately driving organizational success.

Knowledge seekers are mobile: Is your data?

There's an assortment of best practices to abide by when designing an application for a document repository to be accessed via multiple devices.

ViewPoints

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.

Columns

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 flip side of generative AI: Extractive AI

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

The trust problem with GenAI

2023 has been the year of ultra-hyping GenAI, and who is paying for this deluge of marketing? Technology vendors that want us to buy it. Again, it's impressive stuff, but when we shift from selling to buying and ultimately using it, many tough questions need to be asked.

Knowledge Management Whitepapers

The Trend-Setting Products in Knowledge Management 2024

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

Governance Companies and Suppliers
Governance Directory