Data Analytics & Digital Technologies

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Strategic advice & alerts to leverage data analytics & new technologies

Leverage data and the technologies that generate it, from IoT to AI/machine learning, wearables, blockchain, and more, to improve decision-making, enrich collaboration and enable new services.

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Recently Published

Decision support
Advisor

Ongoing Challenges for Decision Support

by Ciara Heavin, by Daniel Power

Effective decision support requires ongoing innovation and refinement. As decisions become more complex and as data increases in quantity and variety, systems must undergo refinement and enhancement. Consequently, decision support requires a continuous and iterative design and development process.


Transparency and Fairness in AI Systems
Advisor

Transparency and Fairness in AI Systems, Part II: The Quest for Explainable and Unbiased AI

by Curt Hall

This Advisor focuses on the quest for explainable AI and examines some current tools and techniques for addressing transparency and fairness in machine learning applications.


Curt Hall
Executive Update

CX Management in the Enterprise, Part IV: Practices and Techniques of Interest to Organizations

by Curt Hall

In Part IV of this Executive Update series on customer experience (CX), we review the CX practices and techniques that organizations are interested in adopting.


Digital Transformation in Regulated Industries
Advisor

Advancing Digital Transformation in Regulated Industries

by Joel Nichols

In this Advisor, we look at how some specific Industry 4.0 technologies can create advances within regulated industries.


Transparency and Fairness in AI Systems, Part I
Advisor

Transparency and Fairness in AI Systems, Part I: The Problem

by Curt Hall

Transparency and fairness are major concerns for end-user organizations, commercial developers, AI researchers, and government agencies seeking to apply AI technology.


API
Executive Update

The Evolving Enterprise API Platform

by James Higginbotham

This Executive Update examines some current trends in the API space, including API platforms, as well as the influence of microservices, streaming, and serverless on those API platforms. We also cover how enterprises are expanding their API program to include the broader concerns of enterprise architecture. Finally, we take a look at what those trends and perspective shifts may hold for us in the future.


Technology modeling for disaster preparedness
Advisor

A Model for Technology Embeddedness in Disaster Management

by Theresa Jefferson, by Gloria Phillips Wren

In our studies of medical decision making under stressful conditions, we found that individual differences between users, such as experience level or familiarity with the technology, must be recognized as part of the context (i.e., individual user characteristics). In addition, local conditions such as time pressure or uncertainty provide another construct for context (i.e., environmental characteristics). We share a model for technology embeddedness in this Advisor.


AI for Real-Time Active Shooter Defense
Advisor

AI for Real-Time Active Shooter Defense

by Curt Hall

New commercial applications are now available that utilize artificial intelligence, machine vision, Internet of Things connectivity, and camera-based security technologies to detect and interdict active shooter incidences before they become deadly.