For more than four decades, Faulkner Information Services, a division of Information Today, has been serving the needs of information technology buyers, sellers, and consumers by providing comprehensive and unbiased reporting on the major IT topics of the day.
Leading IT Systems and Services | Prominent IT Providers | The Internet and E-Commerce
Information Security and Personal Privacy | Cloud Computing | Virtual and Augmented Reality
Artificial Intelligence and Machine Learning | IT Governance, Risk and Compliance
Faulkner’s clients rely on the firm’s two flagship publications: Faulkner Advisory on Computer and Communications Technology (FACCTs) and Security Management Practices (SMP).
Continually updated and fully searchable, FACCTs and SMP help inform clients’ IT planning and management choices.
Recent FACCTs Reports
Hybrid Cloud | Spatial Computing | Inexpensive Information Technology | AI in Manufacturing
Excerpt from “Hybrid Cloud” The age of modern computing has been largely defined by two variables: technology, of course, from room-filling mainframes to pocket-filling smartphones; and real estate, from on-premise “glass houses” to “the Cloud,” the latter being a metaphor for data processing services delivered via a third-party commercial data center. Seeking the best of both worlds, in 2024, many, if not most, private-sector companies and public-sector agencies are embracing a “hybrid cloud” environment, which combines on-premise systems with services delivered from public, private, and community clouds.
Recent SMP Reports
Generative AI Hallucinations | Securing the Software Supply Chain | Mobile Credentials
Excerpt from “Generative AI Hallucinations” A subset of machine learning, generative AI (GAI) refers to programs like ChatGPT that can generate unique business, literary, and artistic content, creating original digital images, video, audio, text, and computer code. One of the primary problems with ChatGPT (and other GAI “chatbots”) is their propensity to make things up, to lie or exaggerate even in situations where a specific fabrication may be obvious. Unfortunately, in many, if not most, cases a GAI deception is not readily discernable, rendering a chatbot’s output unreliable, even harmful depending on its context.
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