Data governance solves multiple KM challenges

Organizations are recognizing that effective data governance is ultimately more of a benefit than a burden. It increases efficiency by delivering trusted data, improves business processes, decreases data downtime, and reduces compliance risk. It also promotes data literacy throughout the enterprise.

Automate Digitization and Support Your Full Information Management Lifecycle with Award-winning Access Unify

Integrating flawlessly into your existing infrastructure, Access Unify solutions ensure a streamlined, digital-first workflow, minimizing the need for extra training or staffing.

AvePoint: Collaborate with Confidence

AvePoint's Confidence Platform is the most advanced platform for SaaS and data management, purpose-built to migrate, manage, and protect SaaS applications and data, enabling transformation, governance, and compliance.

eGain - Eliminating content, knowhow, and analytics silos, creating one trusted source for AI-infused knowledge

An end-to-end solution that unifies and orchestrates all the building blocks needed for modern, KM, infused with conversational and generative AI, the Hub eliminates content, knowhow, and analytics silos, creating one trusted source for knowledge.

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?

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

Are you data-driven or knowledge-driven?

We no longer need to blindly accept the output of even the most sophisticated AI/ML platforms. In fact, we should not consider any artifact, whether produced by humans or machines, as valid knowledge unless it contains not only supporting data and analyses, including provenance, but also an explanation of the underlying plausibility.

Get your game on: KM skills needed for reliable use of LLMs

There is no questioning that generative AI is here to stay, but its use in mission-critical work has some way to go before it can be trusted and let loose.

AI technologies upending traditional KM

If we are not careful and proactive about it, the concept and importance of knowledge itself may soon become blurred or lost.

Look to the skies for KM opportunities

Then there's the inevitable demand for more automation, from the flight planning and clearance process to the operation of the air vehicles themselves. No human or group of humans could possibly keep track of so many constantly changing variables

The Content Guide to Better Content Support

More Than Just Solutions: Create Knowledge While Solving Customer Issues

Flip the AI Switch to Brilliant Customer Satisfaction

The Trend-Setting Products in Knowledge Management 2023