As organizations embark on the digital journey by optimizing their digital assets, they are creating and accumulating data at an unprecedented scale and speed. Not only the speed of data accumulation has exploded but the type of data that modern organizations are collecting has changed drastically.

Various artificial intelligence and machine learning tools are now routinely getting embedded in data ingestion, transformation, and quality tools. Thus, automating and mimicking human intelligence enables to sort our data, data quality and circumventing time-consuming activities to collect, clean, harmonize, and make sense out of data assets.

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