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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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The history of ESG: A journey towards sustainable investing

IBM Big Data Hub

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

trillion in economic benefits by 2030. This can be quantified by measuring metrics like tree cover, habitat integrity and number of species, and is guided by sustainable development principles. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

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

CIO Business Intelligence

A data analyst might help an organization better understand how its customers use its product in the present moment, whereas a data scientist might use insights generated from that data analysis to help design a new product that anticipates future customer needs. Data scientist salary. Data scientist skills.

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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. Prioritizing tracking metrics accurately measures the success of your implementation.

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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing?