At KMWorld 2019 in Washington, D.C., Thomas H. Hogan, Sr., CEO and president of Information Today, Inc. (ITI), presented the KM Reality Award to Burgoyne Hughes, senior manager, Call Center Operations at GE Healthcare, who accepted the award on behalf of the company
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.
Many real-world studies include analyses of data from sources such as anonymized electronic medical records (EMR) and insurance claims.
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.
The old paradigm for supply chain networks has run its course, and the future is in multi-enterprise, or multi-party business networks
At KMWorld 2019, three themes emerged with much greater emphasis than in previous years
Three departments in particular—customer service, human resources, and sales—are sitting on a goldmine of data. Now, it's time to show those departments the potential they've yet to harness, and to do so, they need to ask some questions.
The possibilities of AI and ML are numerous—we are already witnessing some of its disruptive potential through personalized healthcare, weather predictions, inventory management, smart city design and more. There is one constant that will accelerate these advancements in AI further—the desire to create machines that are domain fungible with the ability to self-learn.
The extent to which businesses protect their data assets is the extent to which business is limiting its own intelligence.