Data Platform Data Quality Responsible AI 
IBM Journey to AI blog
JULY 30, 2024
As a result of this, your gen AI initiatives are built on a solid foundation of trusted, governed data. Bring in data engineers to assess data quality and set up data preparation processes This is when your data engineers use their expertise to evaluate data quality and establish robust data preparation processes.
IBM Journey to AI blog
JULY 27, 2023
Precisely conducted a study that found that within enterprises, data scientists spend 80% of their time cleaning, integrating and preparing data , dealing with many formats, including documents, images, and videos. Overall placing emphasis on establishing a trusted and integrated data platform for AI.
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Pickl AI
JUNE 23, 2023
This includes ensuring data privacy, security, and compliance with ethical guidelines to avoid biases, discrimination, or misuse of data. Also Read: How Can The Adoption of a Data Platform Simplify Data Governance For An Organization? Governance Emphasizes data governance, privacy, and ethics.
The MLOps Blog
MARCH 21, 2023
They work with other users to make sure the data reflects the business problem, the experimentation process is good enough for the business, and the results reflect what would be valuable to the business. So in building the platform, they had to focus on one or two pressing needs and build requirements around them. . Model serving.
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