July/August 2018 [Volume 27, Issue 4]

Features

TEXT ANALYTICS gains clout to capture insights from the data maze

As a foundational technology, text analytics has a lot of versatility, but its broad potential use can make it difficult to explain to prospective users. Whatever a company's pain point, chances are that text analytics can be part of the solution, and there is plenty of room for growth, both across different industry verticals and horizontally within an organization.

Winning with the IoT: the vitality of edge computing to the enterprise

The IoT will encompass three fundamental realms of society. They include aspects of personal life, public life and professional life. In most cases, each device will continuously transmit or receive data via direct internet connectivity.

The IoT: Security and integration are key to success

Among the markets expected to lead in the use of IoT are factories, smart cities and healthcare. If the high end of the range is reached, IoT-related business would account for 11 percent of the global economy.As significant as the numbers are, the impact on how organizations and society in general operate will be even more dramatic, bringing new business models and new ways of serving customers. Along with those opportunities are additional obstacles, however, including the need to maintain security for the pervasive technologies and to integrate the information so it provides meaningful knowledge.

KM in healthcare: Distributed networks boost clinical research

Using a common data model, researchers send queries to data sets of collaborating health systems.

Next-generation communities—Part 2 Getting value from the latest community tools and features

Many organizations have embraced enterprise social networking as the foundation for their virtual communities. Social networking is especially well-suited to communities whose discussions tend toward quick tips and informal exchanges among peers. Firms often combine social networking with other complementary collaboration capabilities to facilitate different types and degrees of interaction.

David Weinberger

Signs, causes and machine learning

Machine learning systems can look at data without instructions about how we think the pieces go together. The AI finds correlations and assembles them into webs of connection.

The Future of the Future

A deep future approach to KM

We're familiar with the near-term portion of the time spectrum—from femtosecond lasers used in eye surgery to high-frequency trading in milliseconds on the major securities exchanges. Unfortunately, the extreme opposite end of the time spectrum, the "deep future" receives little if any attention. Decisions in fields such as genetic engineering, nuclear energy, geopolitics and the like can have serious implications for human civilization. But the impact of those decisions might not become apparent for many thousands of years and hundreds of generations.

Cognitive Computing

Cognitive Computing: Balancing the risks with the rewards from AI

The fact is that the effects of AI and cognitive computing will be even broader than current traditional computing systems. As we incorporate more and more data sources for better results, we also increase the likelihood of affecting more lives and more organizations.