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The Role of Data Analytics in Football Performance

Smart Data Collective

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. trillion by 2030. trillion by 2030.”.

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Fleet Management Firms Use Data Analytics for Optimal Customer Service

Smart Data Collective

More companies than ever are investing in customer service analytics. The customer service analytics market is projected to be worth $46.6 billion by 2030. Many fleet management companies were reluctant to embrace the power of big data a decade ago. The fleet management sector is among those driving the growing demand.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist job description. Data scientist salary.

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Why Data Will Power the Self-Driving Car Revolution

Sisense

AVs of the future will require different types of storage — and lots of it — to gather data from LiDAR, radar, cameras, and other sensors as well as in-vehicle infotainment, navigation systems, and maintenance data. The data collected by AVs in the U.S. What if this data is also used for open warrants? Advertising?

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Conversational AI use cases for enterprises

IBM Big Data Hub

billion by 2030. Marketing and sales: Conversational AI has become an invaluable tool for data collection. It assists customers and gathers crucial customer data during interactions to convert potential customers into active ones. AI will increasingly make conversations indistinguishable from those with humans.

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Leading innovation in digital infrastructure for a digital and sustainable APAC

CIO Business Intelligence

Digital infrastructure is based on data and supports End to End (E2E) data activities, including data collection and perception, real-time transmission and distribution, storage, computing and processing, mining, analytics, and decision-making.