The Future of Work Chatbots, Voicebots, and Virtual Assistants
13 Feb 2025
Enterprises increasingly rely on chatbots, voicebots, and virtual assistants to service more customers without adding to their staff count. These devices can be connected by a single underlying software platform, although there are several companies that use these devices independent of each other.
Elevating Enterprise Search With AI, ML, NLP, and LLMS
13 Jan 2025
Information retrieval, now more commonly known simply as search, is one of the earliest manifestations of using AI. Consequently, enterprise search is inseparable from AI and one of the most meaningful beneficiaries of the exponential advancements recently achieved by machine learning (ML)—the most accomplished expression of statistical AI.
Adding Meaning to Data: Knowledge Graphs, Vector Databases, and Ontologies
18 Dec 2024
This article discusses the importance of context in enterprise data for generative AI (GenAI), and, in fact, for any AI initiative.
Transforming Customer Service with AI and Knowledge Management
21 Nov 2024
Customer service and customer support operations are no strangers to AI technologies. AI has long been embedded in the interactions between companies and their customers.
Developing a Strong AI Governance Framework
24 Oct 2024
The exponential advancement of AI technologies necessitates the implementation of robust governance frameworks to guide their responsible development and deployment.
Taming the Data Quality Issue in AI
10 Oct 2024
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
25 Sep 2024
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
10 Sep 2024
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 Coming AI Regulations
10 May 2024
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.
ChatGPT Cyber Risks
01 Apr 2024
Overview of the cyber risks associated with Chat GPT. Those risks include exposing sensitive data, generating dangerous malware, aiding phishing attacks, and more.
Deepfake and AI Generated Security Threats
01 Apr 2024
Deepfakes: Overview and How to Spot Them
01 Apr 2024
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.
Adversarial AI: Cybersecurity Implications
28 Mar 2024
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.
AI-Powered Cybersecurity: Challenges, Benefits, and Use Cases
28 Mar 2024
Artificial intelligence (AI) holds much promise for speeding up and more accurately detecting and countering malicious activities. Forbes has found that 76 percent of enterprises are prioritizing AI and machine learning in their IT budgets and plans. According to Pillsbury Law, 44 percent of global organizations are already leveraging AI for detecting security threats and intrusions. The interest being shown in AI is considerable, leading to the market size for AI cybersecurity growing from $17 billion in 2022 to $102 billion by 2032, according to Verified Market Research.
AI Risk Management Frameworks Overview
28 Mar 2024
Hopefully, to avoid a repeat of today's Internet nightmares, risk professionals have begun the process of developing artificial intelligence risk management frameworks - frameworks inclusive enough to encompass the evolving role of AI, including AI and cloud computing, AI and edge computing, AI and the Internet of Things (IoT), as well as AI and finance, medicine, transportation, and so-called "knowledge work."