Google Enigma

Google Enigma was developed to harness advanced machine learning algorithms for analyzing large datasets, aiming to provide businesses with actionable insights and predictions. It was introduced as a part of Google's efforts to enhance data-driven decision-making capabilities. Specific details about its creators or the exact year of creation are not readily available.

Strengths of Google Enigma included its advanced machine learning algorithms, scalability, and ability to process large datasets efficiently. Weaknesses involved potential data privacy concerns and the need for significant computational resources. Competitors included IBM Watson, Microsoft Azure Machine Learning, and Amazon SageMaker.

A Google Enigma expert must possess skills in machine learning, data analysis, and programming languages such as Python and R. They should be proficient in using big data tools like Hadoop and Spark, understand cloud computing services, and have experience with data visualization techniques.