AI Technologies & Platforms: Page

Recent developments show us the future of chatbots

Experts in conversational AI are optimistic about what recent advancements in chatbot technology mean for the future. Despite challenges, these advancements can point the way forward.

By Kashyap Kompella • Dec. 16, 2022

How AI can assist industries in environmental protection efforts

While technology for environmental protection isn't a new concept, AI advancements empower businesses to achieve sustainable operations.

By Mary Pratt • Dec. 14, 2022

stemming

Stemming is the process of reducing a word to its stem that affixes to suffixes and prefixes or to the roots of words known as "lemmas."

By TechTarget Contributor • Nov. 30, 2022

Evaluating multimodal AI applications for industries

Various industries, including healthcare and media, are currently making use of multimodal AI applications and have determined that the benefits outweigh drawbacks.

By Lisa Morgan • Nov. 30, 2022

Apple’s AI-powered RoomPlan complements a design app

Interior design company Planner 5D introduced an API feature created by Apple that enables app users to quickly scan rooms without taking too much time to draw and trace manually.

By Esther Shittu • Nov. 23, 2022

How Cisco uses AI to find diverse suppliers

The digital communications technology giant employs machine learning vendor Tealbook to gain access to data that fits the types of suppliers it wants.

By Esther Shittu • Nov. 22, 2022

Boolean

In computing, the term Boolean means a result that can only have one of two possible values: true or false.

By Rahul Awati • Nov. 7, 2022

Finding value in AI in the age of digitization

Even as enterprises invest in AI technology, they are not applying it strategically, although they attempt to change their operations to become more focused on technology.

By Esther Shittu • Nov. 4, 2022

Staying relevant in process mining: Celonis’ challenge

The vendor recently announced a $1 billion funding extension. But despite its popularity for process mining, Celonis faces competition from more vendors entering the market.

By Esther Shittu • Oct. 28, 2022

9 dos and don’ts for training a chatbot

Chatbots can improve the user experience by helping customers with simple requests. But, without proper training, chatbots can frustrate the user and leave a bad impression.

By Amanda Hetler • Oct. 6, 2022

AI Bill of Rights blueprint lacks enforceability

The AI Bill of Rights blueprint offers guidance to businesses, but the White House Office of Science and Technology Policy cannot enforce its recommendations.

By Makenzie Holland • Oct. 4, 2022

Industries leading the way in conversational AI

Learn how companies in vertical markets are using conversational AI and even partnering with AI developers for software that's tailored to their unique business needs.

By Lisa Morgan • Sept. 23, 2022

How Loram reduces distracted driving with AI technology

The road and rail maintenance company employs technology from a startup AI vendor with a computer vision and deep learning device that alerts unfocused fleet truck drivers.

By Esther Shittu • Sept. 9, 2022

Panera’s AI drive-through test addresses labor concerns

The restaurant chain is using Tori, a voice assistant from startup OpenCity. The company says its goal is to redirect employees from the drive-through lines to other tasks.

By Esther Shittu • Aug. 30, 2022

Why you need to consider using small data to train AI models

A smaller data set makes sense for certain applications, such as intelligent document processing. It is not helpful in cases in which a large volume is needed to avoid mistakes.

By Esther Shittu • Aug. 19, 2022

A hyper-personalized AI platform for community finance

Using the vendor's Cortex AI platform, DeepTarget created a digital experience platform that community finance institutions can use to predict what consumers will buy.

By Esther Shittu • Aug. 17, 2022

Markov model

A Markov model is a stochastic method for randomly changing systems that possess the Markov property.

By Pat Brans • Aug. 9, 2022

The white-box model approach aims for interpretable AI

The white-box model approach to machine learning makes AI interpretable since algorithms are easy to understand. Ajay Thampi, author of 'Interpretable AI,' explains this approach.

By Manning Publications Co., Cameron Hashemi-Pour • Aug. 4, 2022

How the economic downturn is affecting the AI sector

Enterprise budget cutting is slowing AI projects. Vendors may not feel the impact now but likely won't be spared. Meanwhile, venture capitalists have cut back investments.

By Esther Shittu • Aug. 3, 2022

A closer look at what makes the AI tool Dall-E powerful

The language processing tool differs from most chatbots because it has access to specialized data sets. This makes it powerful, but also potentially dangerous.

By Esther Shittu • July 29, 2022

Ex-Google engineer Blake Lemoine discusses sentient AI

Ex-Google engineer Blake Lemoine discusses why LaMDA and other AI systems may be considered sentient and explains exactly how much AI systems know about consumers.

By Don Fluckinger • July 27, 2022

image compression

Image compression is a process applied to a graphics file to minimize its size in bytes without degrading image quality below an acceptable threshold.

By Robert Sheldon • July 12, 2022

Hamming code

Hamming code is an error correction system that can detect and correct errors when data is stored or transmitted.

By Gavin Wright • July 11, 2022

Salesforce CodeGen lead discusses AI-generated programming

The head of Salesforce's open source, AI-assisted no-code project discusses the company's approach to AI moving forward, as well as what users might see next on the roadmap.

By Don Fluckinger • July 7, 2022

How hybrid chatbots improve customer experience

Hybrid chatbots combine human intelligence with AI used in standard chatbots to improve customer experience. Learn how industries are using them to engage with customers.

By Lisa Morgan • June 30, 2022