Our experienced speakers cut through the hype and share how new technologies like AI can be used for business benefit and competitive advantage. This facilitated panel discussion describes what technologies are available and how companies can use them. It explains how businesses can put artificial intelligence to work now, in the real world. AI will improve products and processes and make decisions better-informed/important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines working alongside smart people. AI can automate structured and repetitive work, provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Get insights and ideas on how to experiment with these technologies, consider the ethics of these technologies,  and use them to revitalize knowledge management in your organization.

For years Synaptica has advised our clients that there are just some things they can’t do with their taxonomies once they migrate them to the SharePoint Term Store. Restrictions within SharePoint prevent much of the richness of thesauri and non-hierarchical relationships from being expressed. Finally, a breakthrough solution has been developed through a joint venture effort between Synaptica and Search Explained. Clarke and Molnar briefly review the common pain points experienced in SharePoint taxonomy implementations, before demonstrating innovative new user experiences that transcend these pain points to deliver a taxonomy-rich search, browse and tagging experience within SharePoint.

Few organizations realize that 80% of their most critical data cannot be handled by business applications because it is unstructured (contracts, emails, customer correspondence …). But the missing piece in this puzzle actually exists: natural language processing (NLP), a form of AI that extracts meaning from documents thanks to organizational and linguistic knowledge. The outcome is a genuinely knowledgeable application: one that delivers effective search and analytics, accelerates business processes, and enables professionals to focus on the highest added-value parts of their mission. Discover why leading organizations have made NLP a priority and how they are using it to build knowledgeable applications for search, analytics, and process automation.

Get the highlights and insights from Glimpse, the trend analysis which focuses on emergent generational and societal shifts, and learn how to respond to these changes. Understanding the global context teaches us what each person is facing with the world today and sets the emotional groundwork for every project. From this global context, Turner shares insights into how our minds have changed, how society has shifted in response, and where it is going through the eyes of generational and cultural evolution. Get ideas about what the future holds for knowledge sharing in our organizations. The eight important mega-trends that inform the world today, the disruptors are reinvention, non-linears, crowd-shared revolution, being human, data disruption, human +, a new visual-verbal culture, and human speak. Hear more and get ideas of how to prepare for this future.

Over the last couple of years, AI, machine learning, and deep learning have received unprecedented attention and are now reaching the top of the hype cycle. But today, despite many technology breakthroughs and success stories from early adopters, very few enterprise organizations are actually reaping the promised benefits. Sinequa is one of the few software platform vendors with customers deploying applications powered by AI models. Our journey in the field has taught us some valuable lessons, and there are some key takeaways we would like to share with you: a look at what pragmatic AI can do for you, bridging the gap between AI’s long-term potential and today’s capabilities, tips to identify the highest ROI use cases which can be addressed with AI models today, best practices to deploy these in production and start generating value. Get great insights and ideas from a KMWorld magazine award-winner and industry leader.

Knowledge graphs built on top of semantic technologies, supported by machine learning technologies, can become a paradigm change in how we deal with metadata management. Keeping track of what is going on in your data is the crucial momentum. Active metadata is a key element to achieve this. Traditional approaches do not work anymore—they are not adaptive, cross-application, and do not provide the semantic richness creating additional value from your data. You need a knowledge graph to specify your business rules and semantics. It is the bases for data enrichment, lineage, and impact analysis. Working in complex deployments requires metadata exchange in a unified, standardized way. Knowledge graphs provide better user experience and allow to fulfill specific workflow, security, and privacy requirements. Based on real business examples, our speakers illustrate how active metadata management works and provides more value to your data and, by that, your corporation.

Artificial intelligence, cognitive technologies, and related tools have the ability to fundamentally reshape knowledge management. As always with groundbreaking technologies and management systems, there is a mixture of some successes, lots of hype, and an emerging body of knowledge of how and where to deploy AI/cognitive for both quick wins and long-term transformational impact. Namir provides an overview of this rapidly transforming landscape and discusses how organizations can accelerate their AI investments to derive maximum value.

In the age of new and useful technologies rushing to take their place in our organizations, 80% of respondents to a recent global culture survey say their organization’s culture must evolve in the next 5 years for their company to succeed, grow, and retain the best people. Yes, it’s all about the people in any organization. Technology can certainly support, speed, and spark knowledge sharing, innovation and success, but culture is implicit rather than explicit, emotional rather than rational—that’s what makes it so hard to work with, but that’s also what makes it so powerful! Anderson shares secrets from her recent book, a practical guide to working with culture and tapping into a source of catalytic change within your organization. Since every organization’s culture is intimate and personal, aligning culture always involves getting to the heart of difficult matters, unearthing the “family secrets” of a company—the emotional histories that lie under the surface of the story the company tells about itself to the outside world. Get lots of insights and tips to use in your organization to build a knowledge-sharing culture which supports success!

Creating a consumer-like, personalized experience for the daily work of finding information people need to do their jobs is the crux of efficient knowledge sharing. These uniquely personal experiences facilitate the flow of organizational operations and more intelligent decision-making. Professionals at companies like Red Hat, Reddit, and PwC rely on this type of platform to quickly find answers and proactively suggest insights. Learn how they approached their challenges and the solutions they found to empower employees to be more productive and help their organizations to attract and retain the best talent.

Our speaker shares best practices for and lessons learned from implementing and enriching enterprise search solutions.

The Internet of Things, computer vision, and document understanding are all becoming critical drivers of enterprise evolution. These are the “3 Pillars of AI” and they are having a real, practical impact on the world of KM. Khan, who leads Accenture's Search & Content Analytics Group, briefly explains these pillars, delving into document understanding and explaining how it is drastically changing the search and KM landscape. Citing a real-world example, he discusses how search and analytics are being combined with AI technologies like machine learning and natural language processing to help make it possible for a global enterprise to extract valuable insights from their untapped, unstructured data sources, improving operations and maintaining a competitive advantage.

KMWorld magazine is proud to sponsor the 2019 KMWorld Awards, KM Promise & KM Reality, which are designed to celebrate the success stories of knowledge management. The awards will be presented along with Step Two’s Intranet & Digital Awards, where you get a sneak peek behind the firewall of these organizations.

The possibilities are endless but what can we really expect in 2020? Our experience speaker, who wrote the book SharePoint 2013 Consultant’s Handbook, coached people on metadata and taxonomies as well apps for Office 365, and more, shares the most recent developments and promises for the coming years.

We live in a world which promises infinite choice, but are we more trapped in the patterns of past practice than we care to think? Is the hierarchical or matrixed organization fit for purpose in a world of increased uncertainty and volatility? Governments have increasing legitimate demands on their resources from citizens and the wider needs of the planet, but few resources to deal with it. Ideology and belief seem at times to triumph over fact, evidence, and reason. Have we gone beyond even post-modernism into a new world with constantly shifting paradigms and increasingly less time to adjust to them? Our panel looks at these questions from the perspectives of knowledge and complexity. They discuss transforming and revolutionizing the way we do business as we move into an uncertain future, how we satisfy our clients in an ever-changing technological age, and how, in our complex societies, we provide value, exchange knowledge, innovate, grow and support our world. Our panel of experienced thinkers and doers shares their insights about what we should be doing to further develop a sustainable ecosystem in our organizations, communities, and world.