Despite the emergence of integrated analytics solutions in the cloud, the analytics industry continues to adopt and leverage a wide range of cloud and on-premise tools and platforms. It should be noted that organisations adopt a wide combination of tools and platforms, each serving a specic business objective or function - organisations typically do not use or utilize a single tool or platform. Moreover, the adoption of BI/Visualisation tools, Data Science Programming Languages, and Cloud Service Providers is more concentrated on the top 2-3 tools or platforms. While the rest of the tools li..
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Despite the emergence of integrated analytics solutions in the cloud, the analytics industry continues to adopt and leverage a wide range of cloud and on-premise tools and platforms. It should be noted that organisations adopt a wide combination of tools and platforms, each serving a specic business objective or function - organisations typically do not use or utilize a single tool or platform. Moreover, the adoption of BI/Visualisation tools, Data Science Programming Languages, and Cloud Service Providers is more concentrated on the top 2-3 tools or platforms. While the rest of the tools like AutoML tools, Data Lakes, and AI Frameworks provide a more gradually distributed curve of adoption.
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