AI Technologies & Platforms: Page

AI in real estate smooths paper-based processes

The use of AI applications in real estate aims to make the paper-based processes of buying and selling property more reliable and repeatable.

By Ron Schmelzer • Sept. 11, 2018

Automated journalism creeps into newsrooms leaning on AI

The use of AI in journalism is gaining steam and, at this early stage, newsrooms are still looking at how the tools can be used to help reporters tell deeper stories.

By Ron Schmelzer • Aug. 20, 2018

AI in hospitality industry helps smooth travel turbulence

A growing number of hotels using AI are reporting streamlined customer service and improved cross-sell opportunities, but the biggest benefits likely lay ahead.

By Kathleen Walch • Aug. 9, 2018

AI in restaurants takes customer service to the next level

Restaurants face challenges that include low margins and high turnover, but the use of chatbots is helping some restaurant chains address these perennial difficulties.

By Kathleen Walch • Aug. 2, 2018

Where the IBM Project Debater AI system may be headed

Unveiled during a live debate in June, IBM's Project Debater will be partially released in 2019 and could have real-life applications, particularly in education.

By Mark Labbe • July 30, 2018

Reskilling the analytics team: Math, science and creativity

Technical skills are a must for data scientists. But to make analytics teams successful, they also need to think creatively, work in harmony and be good communicators.

By Nipa Basu • July 19, 2018

Customer support chatbots set to transform service functions

AI-enabled chatbots are helping enterprises improve their customer service functions by automating some tasks, enabling human workers to focus on what really matters.

By Kathleen Walch • July 17, 2018

AI for recruiting helps companies land top job candidates

More enterprises are using AI in hiring today, a practice that can help surface strong applicants. But there are several pitfalls businesses need to watch for.

By Ron Schmelzer • July 2, 2018

AI in insurance forces big changes to traditional industry

Insurance companies using AI are forcing firms in this traditional industry to grapple with new technology and evaluate emerging risks that could impact their bottom lines.

By Ron Schmelzer • June 26, 2018

Tech experts weigh in on the AI hype cycle

AI expectations couldn't be any higher. Read why leading industry experts believe the hype is deserved and what developers can do to deliver on the technology's weighty promise.

By Ed Burns • June 14, 2018

Limits of AI today push general-purpose tools to the horizon

The future of AI should be focused on more general-purpose tools, but developers have a long way to go before achieving the kind of AI movies taught us to expect.

By Torsten Volk • June 5, 2018

New data science platforms aim to be workflow, collaboration hubs

Oracle's acquisition of DataScience.com is shining a spotlight on workbench-style platforms designed to centralize advanced analytics work by teams of data scientists.

By Craig Stedman • May 30, 2018

AI in call centers amplifies customer voice

Speech analytics use cases involving customer contact centers show how AI technology can make sense out of messy human language, helping businesses along the way.

By George Lawton • May 10, 2018

How one company thinks chatbots and AI can change insurance

Insurance agency management company In-Fi is hoping AI chatbots can streamline homeowner insurance applications and bring the process in line with customers' expectations.

By Ed Burns • April 13, 2018

AI virtual assistant tools prove better for customer service than chatbots

AI virtual assistant software is increasingly surpassing chatbots and natural language search, as enterprises see deeper value in enabling true conversation.

By Ed Burns • April 2, 2018

Humans and AI tools go hand in hand in analytics applications

Companies are keeping data analysts and other workers in the loop with AI applications to check the results generated by automated algorithms for accuracy, relevance and missing info.

By Craig Stedman • March 28, 2018

AI experts advise developers on dev tools

New tools help developers build better, smarter AI apps, as machine learning toolkits have progressed exponentially over the last few years.

By Darryl Taft • March 2, 2018

AI functionality limited today but could be a game-changer

Limited AI capabilities could soon give way to technology that is truly transformative for enterprises, surpassing the overhyped functionality that we see today.

By Ed Burns • Feb. 15, 2018

Machine vision makes paper a thing of the past for insurers

The insurance industry is buried in paper-based processes. Former MetLife CIO Gary Hoberman aims to change that with a platform that runs on AI and machine vision.

By Nicole Laskowski • Feb. 12, 2018

Chatbot applications must get better at chatting to engage users

Today's AI chatbots are good at taking orders and delivering scripted responses, but experts say tomorrow's chatbots need to be more conversational in order to deliver bigger value.

By Ed Burns • Jan. 30, 2018

Synthetic data could ease the burden of training data for AI models

Sometimes it's better to manufacture training data for machine learning models than it is to collect it.

By Nicole Laskowski • Jan. 16, 2018

Dun & Bradstreet’s chief data scientist: Don’t ignore these eight AI topics

Anthony Scriffignano's list of AI topics to watch in 2018 highlights the benefits and complications the widespread application of artificial intelligence technology will have on the enterprise in the coming year.

By Nicole Laskowski • Jan. 9, 2018