Remove 2034 Remove Analytics Remove Predictive Analytics
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Must Know Differences Between Data Science and Data Analytics

Pickl AI

Summary: The difference between Data Science and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. Data Science requires advanced coding, whereas Data Analytics relies on statistical methods. What is Data Analytics?

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Exalytics, Exalogic, and Exadata

Pickl AI

Summary: Oracle’s Exalytics, Exalogic, and Exadata transform enterprise IT with optimised analytics, middleware, and database systems. AI, hybrid cloud, and advanced analytics empower businesses to achieve operational excellence and drive digital transformation. million by 2034, growing at an impressive CAGR of 14.2%.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Healthcare Data Science is revolutionising healthcare through predictive analytics, personalised medicine, and disease detection. For example, it helps predict patient outcomes, optimise hospital operations, and discover new drugs. Finance: AI-driven algorithms analyse historical data to detect fraud and predict market trends.