Remove 2006 Remove IoT Remove Machine Learning Remove Testing
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10 highest-paying IT skills for 2024

CIO Business Intelligence

These roles include data scientist, machine learning engineer, software engineer, research scientist, full-stack developer, deep learning engineer, software architect, and field programmable gate array (FPGA) engineer. It is used to execute and improve machine learning tasks such as NLP, computer vision, and deep learning.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2006: Amazon spearheads the cloud initiative, drops EC2 and S3 into the market. Hadoop was developed in 2006. Microsoft launches Azure ML Studio for machine learning capabilities on the cloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models.

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Public cloud vs. private cloud vs. hybrid cloud: What’s the difference?

IBM Big Data Hub

Internet companies like Amazon led the charge with the introduction of Amazon Web Services (AWS) in 2002, which offered businesses cloud-based storage and computing services, and the launch of Elastic Compute Cloud (EC2) in 2006, which allowed users to rent virtual computers to run their own applications.