Avoiding Legal Pitfalls Through Savvy Data Governance

Data governance solutions can scan and classify organizations' sensitive data according to its relevance to a particular regulation. Classifiers find specific data types of interest to specific regulatory entities.

Tips and Techniques to Close Knowledge Gaps

Knowledge gaps are a moving target, and companies must institute continuous improvement procedures to keep up. Numerous avenues exist for detecting knowledge gaps, including employee assessments and technology-derived metrics. Remedies include training and, increasingly, deploying AI solutions to seek out new information. Organizations will need to proactively monitor these gaps and use the available tools to close them in order to stay competitive.

KMWorld Conference Wrap-Up and Look Ahead

Evident in all the tracks and conferences was the trend toward recognizing the foundational value of KM to enterprises large and small, nonprofit and for profit. Without seamless access to knowledge—access that stretches across data silos and transcends formats—enterprises cannot please customers and employees as they would like. AI-based technologies contribute to elevating the value of KM, but they are not the only driving force.

2024 Readers' Choice Award- BEST AI - DOMO- Empower Your Business with Secure, Flexible, and Conversational AI

There is undeniable potential in generative AI and large language models, but these tools alone come with significant gaps and challenges. AI often needs additional technologies to create guardrails around data security and response accuracy.

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.

The Long- and Short-Term Impacts of AI Technologies

A much less-known but arguably more critical tech law is Amara's Law, which states that we tend to overestimate the short-term impact of new technology while underestimating its long-term effects.

Trees, chains, and brains

Today's AI has many different flavors and architectures, along with massive amounts of memory and processing capacity. We could probably make better use of this computational power by looking at how we can improve the quality of our queries and, as a result, make better quality decisions.

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 …

How Telecoms Can Super Charge Their Productivity with Knowledge Management

Nestlé improves end-user experience with RightAnswers

Paychex’s Road to Award-Winning KCS™

The Power of Personalization in the Contact Center