In this issue, KMWorld magazine announces the winners of the 2022 KMWorld Readers' Choice Awards. The categories for competition were wide-ranging. In all, there were 13 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.
Beyond technology, eGain offers domain expertise, risk-free adoption options, a sustained client engagement model, implementation, support, education, and managed services, and ecosystem to succeed with modern KM.
With each passage of a new regulation or legislation related to consumer rights and data privacy, the influence of data governance over the data sphere becomes amplified. However, this development will never negate the merit of utilizing data for personalized customer interactions that yield short-term and long-term benefits.
As usage of BPM grew and multiple processes were added, many enterprises were no longer able to track their diverse set of processes. The complexity of enterprise applications, some new and some legacy, made it difficult to do so, as did the lack of process documentation. Visibility into processes was limited, especially for the ones that cut across different enterprise systems. Process mining emerged as a new class of enterprise software.
Using P2P automation solutions, organizations can maximize the productivity of the whole procurement team and streamline the whole process in the most effective way.
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
Knowledge graphs continue to make a splash in the KM space
Now is the time to perform an audit to understand where your organization is at risk and institute a robust first-party data policy
Yet maybe the most glaring example of underestimating humans we encounter in our work is in the world of AI. It's partly the term "intelligence" in AI that misleads so many, as AI is not intelligent in the same way that humans are intelligent. Though powerful, AI ultimately matches patterns it has learned, and even the smartest of AI systems is limited in how many patterns it can match and make sense of.
Edge-of-chaos decisioning means being continually informed on the critical elements needed to make better, faster decisions.
Whether we're talking about infrastructure to support the flow of goods or the flow of knowledge, all require energy, and lots of it.
It should come as no surprise that topping the list of requirements to create and sustain a vibrant blue economy are innovation, learning, and collaboration.