Machine Learning

Machine Learning | News, how-tos, features, reviews, and videos

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code

The future of code quality, security and agility lies in machine learning

Why and how machine learning on code is the next frontier to a whole new series of software building tools.

Mark Hurd Oracle CEO

Oracle CEO Mark Hurd on the rebellion against complexity

As enterprises transition from on-premises IT, Oracle is positioning itself as the premier provider for cloud computing. You may think this is a stretch, but the company has steadily revamped its vast software portfolio to the point...

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Emerging consumer technology influences your industry

Those gadgets you got as presents aren’t just fun toys to automate your home or supercharge your entertainment options. They're electronic dowsing rods of how your industry will evolve in the coming wave of emerging technology.

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8 secrets of successful AI projects

Artificial intelligence holds great business promise, but most organizations aren’t positioned to take advantage. Here’s how early adopters are transforming AI projects into business value.

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5 ways AI is transforming customer experience

Companies are increasingly turning to artificial intelligence to help strengthen customer relationships, provide unique experiences, and increase revenue.

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MetLife hooks into external data feeds to help curb customer risk

The insurer is leveraging external data pipelines in hopes of helping customers reduce risk, thanks to its work with a startup that specializes in knowledge graphs and machine learning.

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Overcoming the hype around predictive analytics for better business outcomes

As data-driven solutions become the norm, enterprises need to know exactly what’s going on behind all those buzzwords.

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The many hands of a robot

Deploying robotic process automation for modern applications.

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What a successful AI team really looks like

Forget the tech giants’ rosters of data science PhDs. As AI moves into the enterprise, blended teams with business skills become more important for driving business value.

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Matei Zaharia, creator of the Apache Spark project, on the big data framework | True Technologist Ep 2

In this episode of True Technologist, host Eric Knorr talks with Matei Zaharia, chief technologist at Databricks and an assistant professor of computer science at Stanford, about the Apache Spark and Apache Mesos projects

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The outlook for machine learning in tech: ML and AI skills in high demand

Discover the latest projections for the future of machine learning in tech, including the mainstream adoption of NLP and voice-driven interactions and the rise of innovative ML/AI talent development initiatives.

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Machine learning and AI deciphered

Breaking through the hype around machine learning and artificial intelligence, our panel of Ken Mingis, Michael Simon and Serdar Yegulalp talk through the definitions and implications of the technology.

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The 5 best programming languages for AI development

Here are the top five languages for creating AI-enabled apps, according to InfoWorld contributor and deep learning architect Ian Pointer.

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Attainable AI, from science fiction to science fact: The reality of today’s AI

Looking into the world of artificial intelligence – the past, the present, the different types of AI and what the future holds.

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CIO Leadership Live with James Rinaldi, CIO, Director for Information Technology, NASA’s Jet Propulsion Laboratory | Ep 11

In this episode, host Maryfran Johnson talks with James Rinaldi, CIO at NASA's Jet Propulsion Lab, about opening up data silos and driving data transformation; having a seat at the table to lead change; and using technology to explore...

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Sensitivity: Important for bedside manner and algorithmic diagnostics

Deep learning algorithms hold huge potential for healthcare diagnostics, but they’re not a silver bullet. As adoption of these tools increases, it’s crucial that healthcare professionals and decision makers consider algorithmic...

What is deep learning really?

Moving toward outcome-based intelligence

Newer machine learning techniques coupled with better programming techniques and more data-driven skills should make a difference, and so should better tools to directly connect outcomes to the core models.

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How to win the recruitment war for machine learning talent

The machine learning talent you’re looking for is out there. These in-demand experts simply require a little more creativity when it comes to recruiting.

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