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Enhancing customer care through deep machine learning at Travelers

CIO

s SVP and chief data & analytics officer, has a crowâ??s s nest perspective of immediate and long-term tasks to equally strengthen the company culture and customer needs. s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â??

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IT leaders rethink talent strategies to cope with AI skills crunch

CIO

Moreover, many need deeper AI-related skills, too, such as for building machine learning models to serve niche business requirements. He wants data scientists who can build, train, and validate models for use cases, and who can perform exploratory analysis and hypothesis testing. Here’s how IT leaders are coping.

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Building a vision for real-time artificial intelligence

CIO

He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame. The underpinning architecture needs to include event-streaming technology, high-performing databases, and machine learning feature stores.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. report they have established a data culture 26.5% report they have a data-driven organization 39.7%

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Managing risk in machine learning

O'Reilly Media - Ideas

As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. We recently conducted a survey which garnered more than 11,000 respondents—our main goal was to ascertain how enterprises were using machine learning. Real modeling begins once in production.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

Continuous development, testing, and integration using AWS breadth of services in compute, storage, analytics, and machine learning allowed them to iterate quickly. He leads a product-engineering team responsible for transforming Mixbook into a place for heartfelt storytelling. DJ Charles is the CTO at Mixbook.

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Expert tips for hiring (and retaining) data scientists

CIO

This uniquely skilled, relatively new breed of data experts gathers and analyzes data — both structured and unstructured — to solve real business problems, using statistics, machine learning, algorithms, and natural language processing. Gartner reported that a data scientist in Washington, D.C.,

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