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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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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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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. What Is Customer Service Analytics?

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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

billion by 2030. For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . Like professional basketball, industrial-scale farming, national politics, and global merchandising, auto racing has become a data science.

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A Golden Era of HPC in Government Meets Accelerating Demands

CIO Business Intelligence

billion by 2030. In addition to quantitative ROI metrics, HPC research was also shown to save lives, lead to important public/private partnerships, and spur innovations. . Real-time big data analytics, deep learning, and modeling and simulation are newer uses of HPC that governments are embracing for a variety of applications.

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How data, automation and AI are transforming Business Process Outsourcing into a competitive advantage

IBM Big Data Hub

Manik, VP and senior partner for IBM Consulting, outlined a massive opportunity to strategically redesign the client’s finance operations and payment processing by leveraging AI, data analytics, metrics and automation.

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Conversational AI use cases for enterprises

IBM Big Data Hub

billion by 2030. The technology’s ability to adapt and learn from interactions further refines customer support metrics, including response time, accuracy of information provided, customer satisfaction and problem-resolution efficiency. It aids businesses in gathering and analyzing data to inform strategic decisions.