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Unlocking AI: Machine learning as a service

CIO

This meant that it was relatively easy for it to be analyzed using simple business intelligence (BI) tools. Simple BI tools are no longer capable of handling this huge volume and variety of data, so more advanced analytical tools and algorithms are required to get the kind of meaningful, actionable insights that businesses need.

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Enhancing customer care through deep machine learning at Travelers

CIO

Managing all of its facets, of course, requires many different approaches and tools to achieve beneficial outcomes, and Mano Mannoochahr, the companyâ??s s SVP and chief data & analytics officer, has a crowâ??s 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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The future of Gen AI in analytics

CIO

As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. Enter Gen AI, a transformative force reshaping digital experience analytics (DXA). That’s where Gen AI comes in. The future of Gen AI in DXA: What’s next?

Analytics 316
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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

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20 Machine Learning/Artificial Intelligence Influencers To Follow In 2020

Hacker Earth Developers Blog

Machine Learning (ML) is emerging as one of the hottest fields today. The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% The Machine Learning market is ever-growing, predicted to scale up at a CAGR of 43.8% billion by the end of 2025. billion by the end of 2025.

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What is DataOps? Collaborative, cross-functional analytics

CIO

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 325
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Why CIOs should embrace the potential of data and analytics enablement platforms for a brighter future

CIO

This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 In a recent Gartner data and analytics trends report, author Ramke Ramakrishnan notes, “The power of AI and the increasing importance of GenAI are changing the way people work, teams collaborate, and processes operate.

Analytics 273