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AI Software, Platforms, and Tools > Features
Dive into the essential components that enable the development, deployment, and management of AI systems and applications. These products and services empower enterprises to create intelligent systems that can analyze data, automate tasks, and make informed decisions.

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The Future of Work Chatbots, Voicebots, and Virtual Assistants

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

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

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

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

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

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.

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