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The Role of Data Analytics in Football Performance

Smart Data Collective

The Sports Analytics Market is expected to be worth over $22 billion by 2030. The Evolution of Data Collection in Football Traditionally, football relied on basic statistics such as goals, assists, and possession percentages to evaluate performance. The sports industry is among them. It is growing at a piece of 28% a year.

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How Modernizing your DevOps Solutions Can Help Close the Skills Gap

CIO Business Intelligence

Bureau of Labor Statistics estimates the demand for computer and information technology jobs will grow 13% from 2020 to 2030, adding 667,000 more tech jobs in that timeframe. As more organizations look to digitally transform, the need for technical talent has increased. In fact, the U.S. to testing, teams can develop and?deploy

Testing 121
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AI this Earth Day: Top opportunities to advance sustainability initiatives

IBM Big Data Hub

The platform, created in partnership with Andel Energi in Denmark, uses IoT sensors, AI and the cloud to provide an energy ecosystem for consumers to participate in real-time, intelligent grid optimization. This will help advance progress by optimizing resources used.

IoT 80
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Data Analytics Helps Hedge Funds Improve Customer ROIs

Smart Data Collective

billion in 2021 and is expected to be worth over $19 billion in 2030. According to a report by Dataversity , a growing number of hedge funds are utilizing data analytics to optimize their rick profiles and increase their ROI. The financial industry has been affected more than most. The market for financial analytics was worth $8.2

ROI 71
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Analytics Technology Redefines Social Media Marketing in Sports

Smart Data Collective

a year until 2030. With the staggering statistics revealing that a significant portion of young adults, with 58% of those aged 16-24 and 49% of individuals aged 25-34 , now follow athletes on social media, it’s evident that the influence of these platforms in the world of sports is undeniable. billion on analytics last year.

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

CIO Business Intelligence

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. ” AGI analyzes relevant code, generates a draft function with comments explaining its logic and allows the programmer to review, optimize and integrate it.