Capability building to automate Data Science
Bots, the core component of automation deploy the following capabilities to harness maximum from Data Science:
• Natural Language Processing: NLP technologies work in tandem with deep learning tools enabling bots to understand applications written in different application frameworks and recognize workflows.
• Connectors: These are the mechanisms that allow bots to execute various steps required for their processes for instance data retrieval to work with varying operating systems.
• Computer Vision: Computer Vision enables bots to see just as human eyes would do. This lets bots to observe from a varied number of data sources, including apps and websites to get valuable data to support business use cases.
Marching ahead to the quest, IBM debuted Auto AI, an entirely new set of capabilities for its Watson Studio designed to automate critical yet time-consuming tasks associated with designing and optimizing AI in the enterprise. This liberates data scientists to execute more data science projections using automation to their advantage.https://www.analyticsinsight.net/can-technology-automate-data-science-analytics-insight/
Таблицы больше не нужны, поскольку есть мой текстуальный поиск.