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Enhancing customer care through deep machine learning at Travelers

CIO

And we recognized as a company that we needed to start thinking about how we leverage advancements in technology and tremendous amounts of data across our ecosystem, and tie it with machine learning technology and other things advancing the field of analytics. Here are some edited excerpts of that conversation.

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How DevOps Powered by AI and Machine Learning Is Delivering Business Transformation

DevOps.com

The use of artificial intelligence (AI) and machine learning (ML) is fundamentally changing the way we think about DevOps. The post How DevOps Powered by AI and Machine Learning Is Delivering Business Transformation appeared first on DevOps.com. For many, this will be the crucial next […].

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Ford’s high-tech business transformation, fueled by cloud

CIO

Ford’s forthcoming use of AI will further enhance those services, says Musser, noting supply chain optimization and customer demand matching among the key machine learning algorithms Ford is developing today.

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Building a vision for real-time artificial intelligence

CIO

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. A whole lot has to happen behind the scenes to succeed and get tangible business results. It isn’t easy.

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Deep automation: A CIO weapon for turning disruption into opportunity

CIO

Adaptive: Deep automation can adjust to changing conditions in real time, allowing businesses to pivot quickly in response to market shifts or disruptions. Evolutive: Deep automation continuously learns and improves, leveraging AI and machine learning to enhance its capabilities over time.

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What CIOs should consider before pursuing CEO ambitions

CIO

“Increasingly in our technology-driven world and business landscape, it makes sense to have a leader who’s a technologist by trade.” While CIOs have stepped up and delivered digital strategies for business transformation, using those successes as a platform to move into a CEO position could throw a curveball.

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IT Automation – 6 Technologies for Business Transformation

Kaseya

It typically applies statistical techniques, predictive modeling and machine learning to accomplish this goal. There are many applications of predictive analytics, including fraud detection, enhancing cybersecurity, optimization of marketing programs and improving business operations.