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.

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.

Artificial Intelligence: History, Trends, and Outlook

"Intelligence" is generally defined as "the ability to learn or understand, or to deal with new or trying situations." A trait or capacity normally associated with biological beings such as chimpanzees, dolphins, and, of course, humans, recent scientific and engineering developments have enabled computers to exercise "artificial intelligence" or AI. AI is the simulation of human intelligence processes [especially learning and adaptive behavior] by machines, especially computer systems." Artificial intelligence is powering 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.

AI Risk Management

Like e-commerce, smartphones, and cloud computing, new technology will often present novel and, in some cases, serious risks. In response to the coming artificial intelligence revolution, enterprise security departments should commit to identifying - and mitigating - known AI risks and anticipating emerging risks based on business, societal, and technological trends.

Artificial Intelligence (AI): Top Ten Trends

Owing to its potential, AI is one of the most active areas of technological development, particularly in process automation, revolutionizing how we work. In a fast-paced environment where one development, like OpenAI's ChatGPT, can impact the world literally overnight, many enterprise leaders are understandably curious - even anxious - about current and coming AI trends, hoping to leverage artificial intelligence platforms to improve their productivity, profitability, and competitiveness.

AI, Automation, and Job Displacement Overview

New technologies - particularly artificial intelligence, machine learning, and robotics - threaten not only the traditional "blue collar" targets of automation, but their "white collar" counterparts. Variations on the same software that allowed a computer to defeat world champion Garry Kasparov at chess have evolved to perform complex business tasks like legal analysis and medical diagnosis. In the latter case, some diagnostic programs can read x-rays with greater precision than trained radiologists.

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.

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.

Deepfake and AI Generated Security Threats

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.

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.

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 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.

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.

Adaptive AI: Market Overview and Applications

As analyst Helen Zhuravel explains, "Traditional AI algorithms, while powerful, struggle to adapt to rapidly evolving market conditions. That's where adaptive AI steps in, revolutionizing decision-making with its ability to learn, adjust, and evolve alongside the ever-changing business landscape. Adaptive AI represents a fundamental shift in how AI systems are designed, implemented, and applied. Traditional AI models are static, relying on pre-defined rules and parameters. Adaptive AI, on the other hand, is dynamic, continuously learning and evolving based on new data and experiences."

Adversarial AI: Cybersecurity Implications

Cyber adversaries are using artificial intelligence and machine learning to create more aggressive, coordinated attacks. They are also leveraging intelligence such as personal information on targets gathered from social media and other sources to generate more effective phishing campaigns, achieving email open rates as high as 60 percent.