AI Technologies & Platforms: Page

AI and augmented reality blur lines between virtual and reality

Using AI with augmented reality and virtual reality in industries as varied as gaming and conversational systems can enhance the already impressive technologies.

By Ron Schmelzer • May 15, 2020

Facebook advances AI used to detect hate speech

Facebook can now proactively find and flag hate speech better. Meanwhile, the social media giant's AI Research made BlenderBot, an advanced conversational AI system, open source.

By Mark Labbe • May 13, 2020

AI and DevOps team up in remote work model

Communication and network security are increasingly difficult in DevOps teams as the workforce goes digital. Using AI and machine learning helps companies adjust to the remote work model.

By Joseph Carew • May 13, 2020

Neuro-symbolic AI emerges as powerful new approach

The unification of two antagonistic approaches in AI is seen as an important milestone in the evolution of AI. Read about the efforts to combine symbolic reasoning and deep learning by the field's leading experts.

By George Lawton • May 4, 2020

AI helping higher education during the pandemic

By using AI and analytics, higher education schools can gauge how their students are faring at scale during the coronavirus pandemic.

By Mark Labbe • April 29, 2020

7 last-mile delivery problems in AI and how to solve them

Enterprises are discovering it's easier to build AI than it is to integrate it into existing processes. We examine seven 'last-mile' deployment problems when delivering AI.

By George Lawton • April 27, 2020

Atos acquisition of AI consulting firm looks promising

Atos, a global IT services company, acquired a data science and AI consulting firm as more enterprises move from experimenting with AI to deploying it at scale.

By Mark Labbe • April 23, 2020

PyTorch update from Facebook and AWS eases model building

PyTorch 1.5 introduces TorchServe, a model serving library, and TorchElastic, a Kubernetes controller. Both applications are still in experimental mode.

By Mark Labbe • April 23, 2020

Using ModelOps, a financial services company scales out

Using model operations (ModelOps), a fintech startup was able to scale up its model deployment quickly, while also maintaining model governance at scale.

By Mark Labbe • April 16, 2020

AI for supply chain can help companies handle disruptions

Even faced with the unpredictability of the coronavirus pandemic, enterprises can generate some stability using AI and machine learning in their supply chains.

By Mark Labbe • April 10, 2020

City of Knoxville deploys a web and SMS chatbot

By using a chatbot from text messaging vendor Quiq, the city of Knoxville, Tenn. can give its residents information on the coronavirus, the 2020 census, and the city's social services.

By Mark Labbe • April 6, 2020

AI in mining takes root in the industry

Executives from data science vendors Kespry and Descartes Labs discuss the importance of AI in the mining industry, a sector that is still fairly new to AI technologies.

By Mark Labbe • March 23, 2020

Social media platforms ramp up automated content curation

As the new coronavirus continues to disrupt the workforce, social media companies are increasingly using machine learning to automatically detect and remove harmful content.

By Mark Labbe • March 18, 2020

Advanced AI in financial services boosts fraud detection, efficiency

Financial firms plan to invest more into R&D on AI and plan to deploy advanced AI, like deep learning, within the next two years, according to a new survey.

By Mark Labbe • March 5, 2020

Customer experience chatbot provides answers

Upwork has slowly been rolling out a customer experience chatbot service from vendor Ada, which it uses in conjunction with Zendesk to help provide customers with support.

By Mark Labbe • Feb. 27, 2020

Forest fire sensors and AI help detect fires in Chile

Entel Ocean uses DataRobot's automated machine learning platform, as well as IoT sensors, to automatically detect forest fires in Chile. The platform can detect fires faster than manual counterparts.

By Mark Labbe • Feb. 25, 2020

personalization engine

A personalization engine is a tool used by businesses to collect and analyze customer behavior and data to create a customized user experience -- including special offers, product recommendations and automated marketing efforts -- in an e-commerce setting.

By Kate Brush • Feb. 20, 2020

Employee AI readiness is fairly low

Enterprise employees are largely lacking in AI skills, and enterprises need to work to reskill or upskill employees to improve their skills and help reduce AI job loss fears.

By Mark Labbe • Feb. 17, 2020

Microsoft launches AI for Health initiative

Microsoft's new health AI initiative may do some good for partner nonprofit and academic healthcare groups, but it may raise some data privacy concerns as well.

By Mark Labbe • Jan. 31, 2020

ServiceNow acquisition of Passage AI to boost chatbots

ServiceNow will acquire Passage AI, a startup conversational AI vendor, in an effort to further develop existing conversation capabilities in its chatbots.

By Mark Labbe • Jan. 28, 2020

The rising use of AI in the energy sector

The energy industry has begun to ramp up the adoption of AI with the usage of smart grids among other technologies and has seen the benefits of the technology.

By Kathleen Walch • Jan. 20, 2020

AI in e-commerce helps product sales

EBay uses AI to power tools and services it built in-house to attract and retain users, such as automatic translation, image recognition and photo cleanup.

By Mark Labbe • Jan. 17, 2020

Hair salon uses front desk AI to boost appointments

A hair salon in Florida uses conversational AI to automatically engage clients over text. The bot answers questions and schedules appointments without human input.

By Mark Labbe • Jan. 17, 2020

The uses of AI in medical imaging

Medical imaging is being deployed with the assistance of AI in order to reduce the strain on medical professionals and hopefully improve patient care.

By Kathleen Walch • Jan. 10, 2020

5 mistakes that disrupt data science best practices

Through asking questions and understanding the real-world issues other parts of the company face, data scientists polish their enterprise contribution.

By Sri Megha Vujjini • Jan. 6, 2020