what is the role of a data architect in an AI ML project
Answers
Answer:
The AI architect is like the chief data scientist, planning the implementation of solutions, choosing the right technologies and evaluating the evolution of the architecture as the clients' needs change.
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Answer:
Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data.
Explanation:
What is a Data Architect ?
Creating procedures to ensure data accuracy and accessibility. Analyzing, planning, and defining data architecture framework, including security, reference data, metadata, and master data. Creating and implementing data management processes and procedures.
By locating structural and installation solutions, data architects create and maintain a company's database. To ensure simple access to corporate data, they collaborate with database administrators and analysts. Making database solutions, assessing needs, and writing design reports are among the responsibilities.
A machine learning (ML) and AI pipeline from beginning to finish is imagined, developed, deployed, and operationalized by AI architects. Data scientists, data engineers, developers, operations, and security may work with AI architects to create a solid enterprise-wide AI architecture.
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