Taming the Data Quality Issue in AI

Data quality is the showstopper of AI. Many enterprise leaders who were hot on the business potential of AI are realizing that their efforts will be dead in the water if the data they are employing to train and populate their AI models is inadequate, inaccurate, or not timely.

The AI-Driven Transformation of Enterprise Data Architecture

The past year has been an exhilarating one with AI and more specifically, generative AI (GenAI), quickly emerging as a transformative force, reshaping how businesses will operate, innovate, and interact with customers. As AI continues to gain prominence, its impact on enterprise data architecture is becoming increasingly apparent.

The Rise of GenAI and LLMs

In 1950, Alan Turing suggested a test to determine if computers could mimic human intelligence well enough that an impartial observer could no longer tell the difference. We are still talking about the Turing Test almost 75 years after its inception.

The Enterprise AI Sourcebook is Here

We decided this Sourcebook was timely, given how enterprise AI has caught mainstream attention and triggered the imaginations of those working in IT, knowledge management, and a score of other areas within the enterprise. AI is dominating headlines, and people want to know how they can best apply the various technologies under the AI banner.

The Coming AI Regulations

Advances in artificial intelligence offer both promise and peril. Regulation is essential to the ethical and responsible development of AI. This article is an overview of the current and future regulations surrounding artificial intelligence.

Smart Manufacturing: Market and Top Companies Overview

Overview of the the smart manufacturing market, including smart manufacturing solutions, security implications, safety considerations, and a look at the future.

Smart Buildings: Overview, Trends, and Examples

An overview of the smart buildings including definition, examples, and market trends.

Robots: Types, Trends, and Applications

Robotic Process Automation: Overview, Trends, and Examples

An overview of robotic process automation (RPA), including types, benefits, use cases, and trends.

OpenAI Company Brief

Founded in 2015 by several AI visionaries including Elon Musk and now-CEO Sam Altman, OpenAI is committed to the audacious goal of "building safe and beneficial artificial general intelligence [AGI] for the benefit of humanity." OpenAI gained widespread, even worldwide, attention in November 2022 with the release of ChatGPT, a generative AI application capable of creating, virtually instantaneously, a variety of original written content including essays, reports, and even computer code, all in response to simple user requests.

Intelligent Personal Assistants (IPA): Examples and Use Cases

An intelligent personal assistant (IPA) - also known as a smart or virtual assistant - is an AI-driven software program that helps people complete basic tasks. Typically, an IPA will answer questions and perform actions based on natural language voice commands and location awareness.

Generative AI Risk Management: Frameworks and Best Practices

Many enterprise risk leaders are busy developing generative AI risk regimes: policies, protocols, and procedures designed to ensure that gen AI implementations are safe, secure, and effective.

Generative AI Hallucinations Explained

One of the primary problems with 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.

Generative AI and the Law

Generative AI in general - and its principal exemplar, ChatGPT, in particular - have experienced intense scrutiny owing to GAI's ability to disrupt or even displace the human element in creative arts, robbing writers, artists, programmers, and other "creators" of their livelihood and denying audiences the opportunity to experience human-generated content. In addition to their adverse effect on employment, generative AI programs have been charged with: (1) Copyright infringement, owing to their use of proprietary materials for training purposes; (2) A propensity to lie or suffer "hallucinations"; and (3) A general disregard for personal privacy. While offering a valuable tool set for both individuals and enterprise clients, generative AI in its present form poses both legal and ethical concerns.

Generative AI: Market Overview, Trends, and Enterprise Use Cases

One of the latest and most controversial developments in the field of artificial intelligence, generative AI (GAI) refers to programs that can generate original content, literally creating new digital images, video, audio, text, and code.… While generative AI may be troublesome for those in the creative community, it offers great opportunities for enterprise adopters.

Enterprise Uses for Artificial Intelligence

Artificial intelligence (or AI) is the simulation of human intelligence processes, especially learning and adaptive behavior, by machines. Among other uses, AI is employed by enterprises to power a wide variety of business and consumer applications, such as sifting through mountains of Big Data to extract precious business intelligence or permitting a vehicle to drive itself.

Deepfakes: Overview and How to Spot Them

A deepfake is a form of synthetic content, such as images, audio or video, that purports to be real but is actually false and misleading. The word itself is a portmanteau of deep learning, a form of AI, and fake. In addition to manipulating existing content, the purveyors of deepfakes can create entirely new content where an individual is represented in a false manner, portrayed as doing or saying something that he or she has not done or said. An example of this is a deepfake video from 2022 that appears to depict President Zelenskyy of the Ukraine instructing Ukrainian troops to surrender to Russian aggressors. The primary aim of deepfakes is to spread false information so that it appears to come from trusted sources.

Deepfake and AI Generated Security Threats

Chatbots: Overview and Enterprise Applications of AI-based Chatbots

While chatbots in the form of intelligent personal assistants like Siri, Alexa, Windows Copilot, and Google Assistant are popular among the public, an even larger enterprise market has emerged, facilitating what's known as "conversational commerce," and furnishing enterprise employees with new tools for data assimilation.

ChatGPT Cyber Risks

Overview of the cyber risks associated with Chat GPT. Those risks include exposing sensitive data, generating dangerous malware, aiding phishing attacks, and more.