AI is driven by DATA

 AI is driven by Data :


AI models are only as good as the data they're trained on. That's why data scientists and engineers building AI/ML models need holistic, high-quality, governed data. Consider this example: a model designed to anticipate a consumer's behaviour may rely on ZIP/Postal code data to inform its predictions. But if that data is missing, incomplete, or inaccurate, the model's behaviour will be adversely affected during training and deployment. This could lead to incorrect predictions and reduce the value of the entire effort.

In addition, accurate and complete data can help predict an individual's market segmentation, income class, age, life expectancy, and more. We should all expect "explainable AI" to become a regulated mandate, not just an option.

For AI to be successful, it needs access to reliable data management capable of quickly identifying all the necessary features for the model, automatically adjusting the data to meet the requirements of the AI model, and removing duplicates.



Crux is data-centric business strategies are built on a foundation of reliable data thus "DATA" is the most significant foundation of any AI powered initiative.


(Content Source: Informatica )


Blogger: Rohit Singh Verma ( Leader in Data Strategy with 20 years of experience in Data Domain)
Linked In: https://www.linkedin.com/in/rohitsinghverma/

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