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Business Analytics vs Data Science: Which One Is Right for You?

Pickl AI

They must also stay updated on tools such as TensorFlow, Hadoop, and cloud-based platforms like AWS or Azure. With data science and analytics reshaping industries, understanding the distinction between Business Analytics and Data Science is crucial for anyone navigating a career in this field.

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Predicting the Future of Data Science

Pickl AI

billion by 2026, growing at a CAGR of 27.7%. Familiarise yourself with cloud platforms like AWS, Google Cloud Platform , or Microsoft Azure for storing and processing large datasets. AWS or Azure) will be increasingly important as more organisations migrate their operations online. billion by 2026.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

from 2021 to 2026. AWS Amazon Web Services (AWS) offers a comprehensive suite of cloud services, including storage (S3), data processing (EMR), and Machine Learning (SageMaker), which support various Data Engineering tasks. The global data integration market was valued at USD 11.6

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5 AI stocks to buy in January and hold for the long haul

Dataconomy

Why Nvidia stock could soar after CES 2025 keynote Microsofts expansion in AI services Microsoft is significantly investing in AI infrastructure, particularly through its Azure cloud computing unit, which recorded a 33% revenue growth last quarter. The stock currently trades at 29 times fiscal 2026 earnings, featuring a PEG ratio of 0.8,

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GTC 2025: The most important AI announcements

Dataconomy

Cloud providers including AWS, Google Cloud, and Azure will also adopt the GPU later this year. Nvidias next-gen architectures, Vera Rubin (2026) and Rubin Ultra (2027), promise further scaling to 100 petaflops of FP4 performance. Multi-Instance GPU (MIG) for workload partitioning.

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