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Summary: The difference between DataScience and Data Analytics lies in their approachData Science uses AI and Machine Learning for predictions, while Data Analytics focuses on analysing past trends. DataScience requires advanced coding, whereas Data Analytics relies on statistical methods.
Summary: The blog explores the synergy between Artificial Intelligence (AI) and DataScience, highlighting their complementary roles in DataAnalysis and intelligent decision-making. This article explores how AI and DataScience complement each other, highlighting their combined impact and potential.
million by 2034, growing at an impressive CAGR of 14.2%. Exalytics delivers lightning-fast dataanalysis and visualisation capabilities. Exadata accelerates query execution and optimises storage for large-scale data management. Valued at USD 17,414.36 million in 2024, the market is expected to reach USD 65,873.74
It turns raw data into powerful insights, helping businesses predict trends, improve efficiency, and stay ahead of the competition. With companies relying more on data, the business analytics market is booming! billion by 2034. Thats an 8.50% annual growth rateproving that businesses invest big in data-driven strategies.
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