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Enhancing customer care through deep machine learning at Travelers

CIO

This is kind of a team sport for us, so itâ??s Collectively, the scope spans about 1,600 data analytics professionals in the company and we work closely with our technology partnersâ??more that cover areas of software engineering, infrastructure, cybersecurity, and architecture, for instance.

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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

My goal was to remind the data community about the many interesting opportunities and challenges in data itself. Because large deep learning architectures are quite data hungry, the importance of data has grown even more. Economic value of data. Data liquidity in an age of privacy: New data exchanges.

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Any Data Hub: Holistic Data Management for Evolving Business and IT Needs

TIBCO - Connected Intelligence

This strategy will provide capabilities for: Any business need: Get timely, trusted, reusable in-motion and at-rest data for any business use case. Depth and breadth of connectivity, 350+ sources including Enterprise Data Warehouses, data lakes, streaming, cloud, and more. Any team: Data is a team sport.

Data 54
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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Sometimes, a data or business analyst is employed to interpret available data, or a part-time data engineer is involved to manage the data architecture and customize the purchased software. At this stage, data is siloed, not accessible for most employees, and decisions are mostly not data-driven.

Analytics 102