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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.

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Understanding the Synergy Between Artificial Intelligence & Data Science

Pickl AI

Summary: The blog explores the synergy between Artificial Intelligence (AI) and Data Science, highlighting their complementary roles in Data Analysis and intelligent decision-making. Introduction Artificial Intelligence (AI) and Data Science are revolutionising how we analyse data, make decisions, and solve complex problems.

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Exalytics, Exalogic, and Exadata

Pickl AI

million by 2034, growing at an impressive CAGR of 14.2%. The Oracle services market’s robust growth underscores these systems’ significance. Valued at USD 17,414.36 million in 2024, the market is expected to reach USD 65,873.74

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Business Analytics Process: Essential Steps for Smart Strategies

Pickl AI

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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Load Balancing in Cloud Computing: A Must-Know for Businesses

Pickl AI

Learning cloud computing and data science through Pickl.AI billion by 2034, growing at a 15.20% annual rate. Understanding these concepts is crucial for data professionals managing cloud infrastructures. provides hands-on training to enhance your expertise in modern cloud and data technologies.