Looking to the Future of Knowledge Management: 2020 Insight

Throughout all KM solutions and services, a wave of modern technologies, such as AI, machine learning, natural language processing, and others, are serving to enhance traditional capabilities. As we enter a new year—and a new decade—there is an opportunity to reflect on what is happening now and what may lie ahead in the world of knowledge man­agement solutions and services to deliver more timely and targeted insights to users when and where they need it.

Focus on Technology in Manufacturing: Tech is Powering the Factory of the Future - But Also Hindering It

We are now at an inflection point where modern, cloud-based systems can radically change the way in which we look at quality management.

The 2019 KMWorld Readers’ Choice Awards Winners

With a diverse array of products, services and technologies to consider and the stakes getting higher for information-driven success, it can be challenging to make the right choices. There are many ways to learn more about what is available, such as accessing white papers, research reports, and webinars, as well as consulting with experts and peers. We hope the KMWorld Readers' Choice Awards list provides an additional resource to help make the job of identifying solutions to investigate easier.

Focus on Text analytics “Human and Machine Intelligence: Building The Future Of Text Analytics”

We believe that together, Deep Learning and semantics have a significant role in the future of text analytics. For transforming unstructured content into usable data, we recommend a synergistic approach through a consistent API that addresses concerns over change management and future-proofing existing workflows. By leveraging the best of machine learning and organisational standards, there's a bright future ahead for text analytics in the STEM domain.

Knowledge management and the impact of COVID-19

Executives at leading knowledge management software and services organizations are reflecting on the lasting impact we can expect

Selecting the Right CMS Platform for Your Business: Understanding the Benefits of Coupled, Decoupled and Headless CMS Solutions

The CMS space has gotten very crowded and confusing for buyers. Each CMS architecture has pros and cons and some are more appropriate in specific environments than in others. If it's time to redesign your digital properties, it's important to keep in mind the differences between coupled, decoupled and headless CMS. Considering these points will help you determine which type is right for your business.

Fueling Sales and Marketing with Presentation Management

Large organizations use presentations to drive their business. Whether it be sales team members pitching potential prospects or internal marketing documents used to inform employees about brand updates, presentations are crucial to the success of every business. A sound presentation management strategy optimizes all stages of the workflow associated with presentations, and lets executives and managers view the entire process as a "presentation loop."

Why your DAM Needs an Asset Librarian

Across industries, from media and manufacturing to oil exploration and law, businesses have requirements that librarians are best suited to meet. Organizations want employees, authorized third parties and clients to easily access corporate assets (e.g., media, documents, designs, graphics, etc.) through a DAM system. Making that happen requires knowing how to sort and classify content, create, manage and govern metadata and construct workflows.

Flipping data science

No matter how much "intelligence" is programmed into a computer, it will very likely never understand the results it produces. Doing so takes human cognition, intuition, judgment, and other ways we humans make sense out of data.

Ethical issues in AI and cognitive computing

Many innovations from the past needed the insight of entrepreneurs as well as technologists to change the world. That's also the case with machine learning and AI.

Crossing the epistemic divide

As the world races ahead, purely data-driven approaches will become less attractive. Instead, we need to start gaining a deeper understanding of how to bridge the great divide which separates the artificial and the natural.

A deep future approach to KM

We're familiar with the near-term portion of the time spectrum—from femtosecond lasers used in eye surgery to high-frequency trading in milliseconds on the major securities exchanges. Unfortunately, the extreme opposite end of the time spectrum, the "deep future" receives little if any attention. Decisions in fields such as genetic engineering, nuclear energy, geopolitics and the like can have serious implications for human civilization. But the impact of those decisions might not become apparent for many thousands of years and hundreds of generations.

How to Leverage AI Behavioral Models to Maintain Customer Satisfaction with Work-From-Home Agents

Intelligent Data Hub: The Next Generation of Smart Data Management

New Approaches to Master Data Management

Intelligent Data Hub - Taking MDM to the Next Level