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Each day, cloud computing plays a more vital role in fostering reinvention and addressing the dynamic demands of people worldwide.

How to innovate

AI is used in various applications such as virtual assistants (e.g., Siri, Alexa), recommendation systems (e.g., Netflix, Amazon), autonomous vehicles, facial recognition, and language translation.
Ethical concerns include job displacement due to automation, bias in AI algorithms, privacy issues, and the potential for AI to be used in harmful ways (e.g., autonomous weapons).
Machine learning is a subset of AI that involves the use of algorithms and statistical models to enable computers to improve their performance on a specific task through experience.
Feature scaling involves normalizing or standardizing the range of features. It is important because many machine learning algorithms perform better when numerical features are on a similar scale.
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Application Transformation

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Cloud Infrastructure

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Cloud Stratergy & Design

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Infra Managed Services

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Application Managed Services

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