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From Flytxt’s perspective, AutoML for solving common data science
could help in many aspects, enhancing problems and brings in self-sufficiency.
the AI capability of an organization. In other words, AutoML framework
With AutoML, Data scientists could be would be intelligent enough to maintain
relieved from doing repetitive tasks the entire lifecycle of a model, hence
required to build Machine Learning providing the true AI capability
pipelines and can now focus on solving
complex data science problems and
devising new algorithms. Development
and maintenance of packaged So the question to address here
analytics models will become easier is can we formulate a generic
and it will no longer require extensive framework, which would be
human intervention. The model can agonistic to domain or data
automatically identify the concept drift sets and that can automatically
phenomena and take the decision on recommend an optimal model
whether to discard the old model or for a given task without any
update it in real time, enabling an auto or minimal intervention of
monitoring ability. Additionally, it will machine learning experts?
ease the dependency on data scientists
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