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Must Know Differences Between Data Science and Data Analytics

Pickl AI

Predictive Analytics This forecasts future trends based on past data; businesses use it to anticipate customer demand, stock market trends, or product performance. For example, a weather app predicts rainfall using past climate data. For instance, hospitals use analytics to monitor patient outcomes and optimize treatment plans.

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Exalytics, Exalogic, and Exadata

Pickl AI

million by 2034, growing at an impressive CAGR of 14.2%. Additionally, Oracle is integrating AI and machine learning into its platforms, allowing predictive analytics, anomaly detection, and autonomous system optimisation. The Oracle services market’s robust growth underscores these systems’ significance.

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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.