Evaluate
Weigh the pros and cons of technologies, products and projects you are considering.
Evaluate
Weigh the pros and cons of technologies, products and projects you are considering.
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. Continue Reading
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. Continue Reading
Data science tools of the trade fill skills gap
Data science tools are becoming more intelligent and better at understanding intent and context. But don't stop advertising that data scientist job on the web just yet. Continue Reading
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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. Continue Reading
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. Continue Reading
Computer vision technology helps Trulia link buyers to homes
In this podcast, Trulia's vice president of engineering discusses the importance of computer vision applications to the website's overall goal of helping buyers find homes.Continue Reading
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.Continue Reading
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.Continue Reading
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.Continue Reading
Enterprises explore AI voice assistant technology
Intelligent voice assistant devices, so popular among consumers, are starting to make their way into enterprises, but businesses need to be mindful of several challenges.Continue Reading
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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.Continue Reading
New Intel toolkit OpenVINO supports deep learning on CPUs
A new developer kit from Intel seeks to lower the bar for doing deep learning on CPUs and other types of chips to extract more intelligence from video.Continue Reading
A look at the leading artificial intelligence infrastructure products
The artificial intelligence infrastructure market is young and varied, with enterprise AI vendors offering everything from cloud services to powerful, and expensive, hardware.Continue Reading
Data scientist vs. business analyst: What's the difference?
Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there.Continue Reading
Getting to machine learning in production takes focus
Bridging the gap between training and production is one of the biggest machine learning development hurdles enterprises face, but some are finding ways to streamline the process.Continue Reading
CTO Simon Crosby explains edge intelligence, talks AI uses and risks
Edge intelligence is the newborn child of edge analytics and machine learning. In this podcast, CTO Simon Crosby explains the tech and discusses AI uses, data breaches and more.Continue Reading
IT, finance and marketing have uses for AI -- do you?
AI in healthcare improves patient outcomes. AI in IT aids employee compliance and security. AI in logistics, AI in marketing, AI in finance -- learn how your company can use AI.Continue Reading
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.Continue Reading
Hype surrounding AI technologies nears atomic proportions
Amid the infiltration of artificial intelligence into business and society, spawning fears from some of Armageddon, humankind's greatest AI threat may very well come from within.Continue Reading
Big data throws bias in machine learning data sets
AI holds massive potential for good, but it also amplifies negative outcomes if data scientists don't recognize data biases and correct them in machine learning data sets.Continue Reading
Cognitive computing in healthcare mends doctor-patient gaps
Cognitive computing and healthcare data aggregation may prove to be important bedside companions to doctors treating their patients in the era of medical specialization.Continue Reading
AI technologies have come far, but the road is long
Machine learning and other artificial intelligence technologies are poised to offer businesses big benefits, but companies have to walk before they run with AI.Continue Reading
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.Continue Reading
How to do a machine learning platform comparison
Experts share their top criteria for choosing the right machine learning vendor in a market that has become crowded and confusing in the last couple years.Continue Reading
Wayfair's chief architect talks AI-driven innovation, impactful IT
Wayfair sells home furnishings, but under the covers, it's a tech juggernaut. Chief Architect Ben Clark explains how AI-driven innovation propels the business.Continue Reading
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.Continue Reading
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.Continue Reading