Breaking Down Barriers: 10 Change Management Strategies to Eliminate Organizational Silos

By promoting cross-departmental collaboration and alignment, organizations can ensure a seamless and consistent customer experience across all channels.

Bridging the Knowledge Gap in Manufacturing: Securing Institutional Expertise for the Future

The manufacturing sector is at a crossroads. While investments in new technologies and infrastructure are essential, they must also be utilized to preserve and share institutional knowledge. By adopting a comprehensive KM strategy that includes centralized data management, digital innovation, and a culture of knowledge sharing, manufacturers can safeguard their expertise and secure long-term success.

Navigating the IT Landscape: Balancing Hybrid Cloud and Cloud Repatriation to Stay in Control of Your Infrastructure

To secure their data, certain industries have strict regulations regarding data storage, requiring data to be kept in specific geographic locations or under stringent security measures. This is yet another reason for organizations nowadays to switch back to on-prem resources.

KM 101 in the Era of AI: An Interview With Stan Garfield

One of the things KM can do for AI is to empower learning communities to help people how AI applies to them and how to navigate through changes generated by it.

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.

Why ubiquitous AI will mean more, not fewer, white-collar jobs

One thing is clear: The widespread adoption of GenAI will not lead to fewer knowledge jobs, but rather, it will pave the way for their growth and evolution.

Solving PDF form challenges and boosting workflow automation

What organizations that depend on dynamic documents really need are solutions that work seamlessly across all platforms. This way, organizations can eliminate compatibility issues and reduce most—if not all—of the costs that are associated with restricted formats.

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.

What you should know about cross-border data transfer laws

Multinational companies are generally aware of data transfer laws, but smaller ones just embarking on looking beyond country borders may not be.

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.

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

Avoiding the wrath of illegal data

To mitigate the risks associated with illegal data, organizations need to implement data governance policies and procedures to ensure that all data is properly documented, stored, and maintained.

Accounts payable is at the heart of company success— but is yours skipping a beat?

With a solid strategy for AP automation, businesses can expedite invoice processing rates by as much as 90%, which equates to a 400% increase in employee productivity. But how do you get there?

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.

Knowledge and training: Peanut butter and jelly for the customer contact center toast

Modern knowledge management and training are perfect complements to each other—the peanut butter and jelly for your breakfast toast.

Knowledge management experts provide KM predictions for 2023

Several KM leaders offer predictions for the space in 2023