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.

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.

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.

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.

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.

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 management experts provide KM predictions for 2023

Several KM leaders offer predictions for the space in 2023

Why reducing review time can revolutionize enterprise content search

Leveraging this finding of the brain's superior ability to recognize patterns, a next-generation viewer uses three progressive panels to display search results and document pages as visual thumbnails

Why SaaS visibility matters

With the increase of decentralized workplaces and remote and hybrid work models, SaaS has overtaken on-premises apps and become critical to any company's success

How to take advantage of supplier information and mitigate risk

The regulatory environment requires that organizations should not only provide supplier information, but also fully understand it

Why it’s important to make KM clickable

With their new book, "Making KM Clickable," Zach Wahl and Joe Hilger have documented the collective knowledge and experience they have gained from helping countless customers with knowledge management projects

KMWorld Connect 2021 recap: Knowledge graphs were front and center

In 2021, knowledge graphs weren't just blossoming—they were blooming—and it was clear that we are now in the knowledge graph stage of KM development

9 Key takeaways about search and content management from KMWorld Connect 2021

Artificial intelligence, machine learning, and knowledge graphs are changing how search is implemented and delivered

3 Ways third-party data can help enhance a company’s analytical approach

The road to best practices in data may not be a short one, but it's one all companies must take to survive today and into the future

4 KM predictions for CX, content management, and analytics in 2022

Non-digital natives have become more digitally fluent and, as such, demand for more digital customer service touchpoints that help these consumers and address their specific needs has increased, according to NICE CXone's Chris Bauserman

5 Knowledge graph insights from KMWorld Connect 2021

Knowledge graphs continue to make a splash in the KM space