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.
Artificial intelligence (AI) and machine learning (ML) has vulnerabilities that can create serious consequences for lives and property. In this Advisor, we investigate AI’s vulnerabilities, examining where problems can occur in development and application.
The ultimate success of artificial intelligence (AI) will depend on how well society is prepared for its widespread application. This, of course, raises a slew of social, economic, legal, privacy, and ethical issues and challenges that must be seriously studied and addressed.
In this Advisor, we introduce the potential ethical issues in Industry 4.0 and look at these from two aspects: (1) ethical issues related to data and (2) ethical issues related to systems, technology products, and services.
Currently, organizational interest in adopting game design and gaming techniques to support customer experience (CX) initiatives is limited; however, the concepts are quite applicable to CX practices.
In Part V of this Executive Update series, we examine the various leading CX technologies organizations are interested in adopting.
In this Advisor, we examine the three conventional essential security requirements — confidentiality, integrity, and availability — which present somewhat different issues in the age of Industry 4.0.
Cutter Consortium Senior Consultant Paul Clermont describes some of the impact that AI has had at the boundaries of commercial organizations and public policy in an article aptly entitled, “Who Knew THAT Would Happen?” Those of us who have experienced unintended consequences of other technologies will want to answer “anybody” but should remind ourselves that some may not have the memory of prior years, and that hindsight is perfect. Clermont explores how to identify possible unintended consequences in advance and proposes countermeasures to negative unintended consequences in the form of design principles and public policies.
Cutter Consortium Fellow Lynne Ellyn recounts her experiences with AI technology in the real world, surveys the current landscape, and identifies key nontechnical issues that companies are likely to face when deploying AI-based systems.