People need to be able to navigate quickly and efficiently to data and the myriad of knowledge that resides within an enterprise. They require technologies that are flexible and adapt to the user’s needs. But with so much enterprise data and content sitting in disparate silos, finding relevant information can be a challenge. Our speakers focus on how search uses AI technologies like NLP, semantic understanding, and machine learning to provide a cognitive search experience. They discuss real-world examples of how search solutions have helped enterprises improve search, collaboration, and co-creation.

Philips’s knowledge hub is an example of how organizations can turmoil in knowledge flow. Philips’s KM managing principals share their secrets of building business processes to support communities. Philips and Deloitte joined hands in an agile repetitive development process that enabled Philips to fulfill the business targets according to the road map and increase adoption. Get a look at how methodology and cutting-edge technology hosted in Microsoft Cloud make a huge difference.

“We are going agile!” This seems to be a statement often used in an effort to streamline existing business practices in favor of more efficient and customer-focused processes. However, before we make a paradigm shift in our day-to-day business activities, it is important to recognize the context in which we currently situate ourselves and to make the right decisions based on that context. Enterprise Knowledge’s agile approach to KM yields the benefits of rapid implementation of KM solutions, such as a taxonomy design, content strategy, or team collaboration planning, all of which yield results within weeks or months, rather than years. However, we know that one agile approach is not the right method for every KM project. Sagar discusses using the Cynefin Framework as a model to select the right project management approach for the current reality of your organization. Rather than taking a cookie-cutter approach to project management, we continuously adjust our management style to fit your circumstances.

Now that you have acquired Office 365 (or maybe you haven’t, and you’re thinking about it!) learn from a SharePoint & Office 365 expert how to guide your organization’s journey toward adopting the Office 365 ecosystem of tools, including the consolidation of knowledge in disparate systems; various pain points and pitfalls to be aware of; approaches to and consolidating them; various pain points and pitfalls to be aware of; approaches to change management; expectation management; and the variety tie-in with class knowledge management.

An essential component of any KM initiative is the knowledge domain model. Understanding and defining the knowledge domain (the information, audience, goals, technology, workflows, and governance) is an essential part of creating a successful and maintainable knowledge management practice within an organization. From our first speaker, get an overview illustrated by case studies and learn the skills needed to scope, prioritize, and design a viable and maintainable KM infrastructure to support the knowledge transfer necessary to meet the needs of both stakeholders and the organization. McBreen shares how Amgen has used knowledge analytics to do some exciting things using AI/NLP trending signals in the manufacturing process and with their knowledge assets.