Emerging Tech: Page

Recruiting data scientists for AI and machine learning

When hiring data scientists, be sure to include your data science team in the interview process, and strive to build a data-literate HR department. AI tools may also help.

By Mark Labbe • Jan. 28, 2019

New deep learning techniques take center stage

The days of simple linear regressions for machine learning are giving way to more powerful deep learning techniques that point the way toward general AI capabilities.

By Maria Korolov • Jan. 24, 2019

drone services (UAV services)

Drone services, also known as unmanned aerial vehicle (UAV) services, is the emerging market for services built around flying robots that can be remote-controlled or flown autonomously using software-controlled flight plans in their embedded systems.

By Corinne Bernstein • Dec. 26, 2018

AI use in healthcare ramps up for app maker Cognoa

Applications of AI in healthcare have been relatively restricted due to regulatory and data challenges, but one startup is finding ways to make AI effective.

By Ed Burns • Nov. 30, 2018

An AI project should start with a question, not an insight

Avis' former director of BI and analytics talks about the kind of analytics capabilities and business problems you need to have before launching your next AI project.

By Nicole Laskowski • Nov. 14, 2018

AI cybersecurity tools help spot threats before they cause harm

Security pros are increasingly using AI-based cybersecurity tools to stay one step ahead of hackers and minimize vulnerabilities before they can be exploited by bad actors.

By Ron Schmelzer • Nov. 5, 2018

On-device AI features make connected tools smarter

As the number of connected devices grows, AI at the edge of networks is increasingly making connected devices smarter, enabling them to take advantage of emerging smart technologies.

By Ron Schmelzer • Oct. 11, 2018

The present and future use of AI in healthcare

The use of AI and machine learning in healthcare has already changed the way some clinical and administrative processes are handled, and it could help reinvent how care is provided.

By Mark Labbe • Oct. 9, 2018

Use of AI in pharma grows as drug-makers see big benefits

The use of AI in clinical trials, drug discovery and manufacturing is growing and, despite a few barriers, drug companies are expected to continue rolling out the technology.

By Kathleen Walch • Oct. 5, 2018

Convert unstructured data to structured data with machine learning

With access to powerful compute power and advances in machine learning, unstructured data is becoming easier and cheaper for businesses to turn into usable sources of insight.

By Mark Labbe • Oct. 1, 2018

Credit card giants step up AI fraud detection

While Capital One and Mastercard delve into AI and machine learning to detect credit card fraud, IBM joins the ranks of AI vendors with AI bias detection tools.

By Mark Labbe • Sept. 20, 2018

How to make a wise machine learning platforms comparison

What data sources does it support? Is it easy to use? Does it have automation features? These are just a few questions to ask when making a machine learning platforms comparison.

By Bob Violino • Sept. 13, 2018

Music composed by AI breathes new life into video games

AI-generated music could help indie video game developers incorporate another element into procedurally generated worlds, making them more dynamic and lifelike.

By Mark Labbe • Sept. 5, 2018

AI for education brings benefits to burdened school staff

Using AI in education can have a dramatic impact on the way teachers use their time and the manner in which students are served individually. Expect the trend to continue.

By Kathleen Walch • Aug. 30, 2018

IBM and AI: Researcher talks current and future projects

The goal of numerous IBM AI projects is to ultimately create programs to augment human skills and jobs, not to take jobs away from humans, an IBM researcher says.

By Mark Labbe • Aug. 30, 2018

AI and jobs collide as automation looms

AI automation will eliminate a broad swath of today's jobs over time, but some jobs are likely to disappear sooner than others due to the uneven pace of technology development.

By Ed Burns • Aug. 24, 2018

AI process automation offers benefits, but challenges remain

Enterprises are starting to employ machine learning tools as part of their AI automation strategies, but several key challenges stand in the way of effective usage.

By George Lawton • Aug. 6, 2018

Data science in healthcare demands dual focus, expert says

Symphony Post Acute Network is seeing success blending analytics for clinical and business operations, a change compared to how healthcare systems have traditionally used analytics.

By Ed Burns • July 31, 2018

How to find the best machine learning frameworks for you

There's no shortage of open source deep learning tools today, and evaluating them can be a challenge. But there are some primary considerations to keep in mind.

By George Lawton • July 23, 2018

At Intuit, machine learning enhances products, CTO says

Intuit's machine learning and AI technology are transforming its many financial software products. CTO Tayloe Stansbury discusses what that means for Intuit.

By Mark Labbe • July 19, 2018

The threats of AI must be taken seriously to prevent harm

The risks of AI use are growing as the technology becomes more pervasive. Rather than laugh off the threats, businesses should move to mitigate them before they become headaches.

By David Loshin • July 12, 2018

Labeled data brings machine learning applications to life

The types of data being collected for analytics use are increasing, but traditional structured data is a good match for machine learning. Gartner's Svetlana Sicular explains why.

By Maxine Giza • July 3, 2018

AI applications in healthcare smooth providers’ operations

Healthcare providers are embracing AI systems at an increasing rate as the potential benefits for both patient care and operational management become more apparent.

By Kathleen Walch • June 22, 2018

Industries evaluate collaborative robot applications

Robotics has traditionally been viewed as a threat to jobs, but putting AI in robots can make machines more collaborative and empower human workers to be more effective.

By Kathleen Walch • June 13, 2018

Databricks platform additions unify machine learning frameworks

Databricks' new products take aim at simplifying machine learning integration -- something that has become increasingly difficult, as the number of tools has multiplied.

By Ed Burns • June 8, 2018