KMWorld Cover

September/October 2019 [Volume 28, Issue 5]

Features

Enriching text analytics with graph databases

Graph databases are ideally suited for storing information about relationships among entities, for accessing diverse types of information, and for easily incorporating new information.

Analytics in the IoT public sector: Perfecting with computer vision

Since governmental entities aren't burdened by the financial constraints of private organizations, they have considerably greater liberty to devise new use cases for increasing the efficacy and efficiency of advanced analytics.

E-discovery: What metrics reveal

The role of metrics in helping to predict costs for cases and to plan budgets for future years is becoming more important because legal departments in corporations are increasingly being seen as business units rather than cost centers.

What’s ahead at KMWorld 2019: Q&A with Jane Dysart, KMWorld 2019 conference chair, and founding partner and curator of curiosity, Dysart & Jones

Since 2000, Information Today, Inc. has been bringing together thought leaders, experienced practitioners, authors, and storytellers at KMWorld, the largest and most respected knowledge management event in the world. Conference chair Jane Dysart recently reflected on the importance of the annual event and shared what's ahead for attendees this year.

Who To See @ KMWorld 2019

KMWorld is an international gathering place targeted at experts and practitioners in knowledge and information management who seek to make their organizations more effective, collaborative, and innovative through knowledge sharing. Since 2000, Information Today, Inc. has been bringing together thought leaders, experienced practitioners, authors, and storytellers at KMWorld, the largest and most respected knowledge management event in the world.

Focus on Text analytics “Human and Machine Intelligence: Building The Future Of Text Analytics”

We believe that together, Deep Learning and semantics have a significant role in the future of text analytics. For transforming unstructured content into usable data, we recommend a synergistic approach through a consistent API that addresses concerns over change management and future-proofing existing workflows. By leveraging the best of machine learning and organisational standards, there's a bright future ahead for text analytics in the STEM domain.

Creating and maintaining intelligent search- KMW Webcasts KMWorld Live

How to make enterprise search more intelligent, the benefits of intelligent search to users and the organization were discussed.

Tips to optimize Office 365 - KMW Webcasts KMWorld Live

KMWorld recently held a webinar with executives from Veritas. Key considerations surrounding the analysis, preservation, and data discovery for Office 365 and other Microsoft platforms were discussed.

ViewPoints

Today's contact centers: Q&A with Anand Janefalkar, founder and CEO of UJET 

Today's contact centers need to create seamless data flows and connect information between new and existing systems and technologies, according to Anand Janefalkar, founder and CEO of UJET

KM in Practice

Alberta-based law firm selects new NetDocuments document and email management cloud platform

McLeod Law provides more efficient, collaborative, and mobile access to all content with document and email management cloud platform

Fashion retailer achieves 98%+ inventory accuracy with Oracle

By automating and optimizing retail process and workflow, KOJ has gained efficiencies and a significant reduction in labor costs

VyStar Credit Union improves security and customer experience

Verint helps financial services company enhance data security, protect member identity, and drive operational efficiencies

COLUMNS:

David Weinberger

Perspective on knowledge: Bring back blogging

The case for internal blogging within a corporate environment is strong and the risk is far lower because the participants are vetted and known.

The Future of the Future

Flipping data science

No matter how much "intelligence" is programmed into a computer, it will very likely never understand the results it produces. Doing so takes human cognition, intuition, judgment, and other ways we humans make sense out of data.

Cognitive Computing

Ethical issues in AI and cognitive computing

Many innovations from the past needed the insight of entrepreneurs as well as technologists to change the world. That's also the case with machine learning and AI.

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