Flexibility, agility, and the ability to pivot continue to be essential characteristics of winning companies. Organizations must have the right tools and products so they can break down information silos, better understand the experiences of their customers and employees, uncover trends, expand collaboration, deploy AI and machine learning appropriately, and take advantage of automation to lighten the burden of mundane, repetitive tasks.
The categories for the 2021 KMWorld Readers' Choice Awards were wide-ranging. In all, there were 14 areas in which products and technologies could be nominated and ultimately voted upon. They include business process management, cognitive computing and AI, customer service and support, e-discovery, knowledge graphs, text analytics and NLP.
Jane Dysart, KMWorld conference chair, and founding partner and curator of curiosity, Dysart & Jones Associates, provides a look at what's ahead for KMWorld 2021 attendees. The conference will be held November 15-18, 2021 at the JW Marriott Washington, DC
The importance of AI is underscored by forecasts for revenue growth. Worldwide revenues for the AI market, including software, hardware, and services, are forecast to grow 16.4% year over year in 2021 to $327.5 billion, according to the latest release of the IDC Worldwide Semiannual Artificial Intelligence Tracker. To help spotlight innovation in knowledge management, KMWorld presents the annual KMWorld AI 50, a list of vendors that are helping their customers excel in an increasingly competitive marketplace by imbuing products and services with intelligence and automation.
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.
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.
Modern knowledge management and training are perfect complements to each other—the peanut butter and jelly for your breakfast toast.
The broader implication of of stage four KM is that we may be beginning to move with more speed into the world of the semantic web.
We don't have pronouns by which we can address inanimate objects because we haven't had any occasions to have actual conversations with them.
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.
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.
Historically, KM managers have tried to centralize knowledge assets into a single KM platform and curate within it. But outside of a few niche use cases, this has not been feasible for many years. Combining few KM human resources and an increasing data deluge makes it impractical. That is not to say we don't have the tools and resources to manage knowledge assets effectively; rather, we need to recognize corporate realities, be open to innovation, and embrace radical change.