Deskripsi
Data Science has become an indispensable field in the
technology landscape, playing a vital role in extracting meaningful
insights from vast amounts of data. The success of any data
science project heavily relies on the integration of technology and
analytics programming. Technology forms the foundation of any
data science project, facilitating the collection, storage, processing,
and analysis of massive data sets.
AI involves using computer systems to automate tasks that
require human intelligence. Over the last five years, there has
been growth in the application of AI to data analysis. AI is
extensive and spans from using machine learning to automate a
specific task to using expert systems to guide decision-making.
While some forms of AI in data analysis are highly technical, it’s
worth remembering that an astute business analyst can provide
tremendous value by understanding AI possibilities, helping those
less familiar with AI to make an informed choice on the cost and
benefits of AI automation, and identifying tasks where AI can be
used to release the analyst for more value-adding work.
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