Embracing Digital DNA for Business Transformation

By adopting a mindset of agility, adaptability, and knowledge sharing, companies will be able to solve customer pain points, deliver exceptional experiences, foster loyalty, and continue to anticipate changes and meet customer needs with a digital-first mindset.

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.

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.

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

Creating and maintaining a unified corporate culture in a work-from-home environment

Organizational culture is the degree of agreement and commitment to a set of values and expected behaviors. When such agreements and commitments are widely and deeply held, the culture is considered "strong".

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 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

Best P2P practices and their benefits

Using P2P automation solutions, organizations can maximize the productivity of the whole procurement team and streamline the whole process in the most effective way.

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