Data Quality for AI

There is a famous quote "Garbage IN Garbage OUT" well i could never relate to this tag line since it disposes off entire objective of recycling. But in premise of AI System this seem to be true. Any AI system no matter how good your algorithm is, data is the core and quality of data defines the usability of the predictions.

Data quality for AI is not a trivial task, as it involves many challenges and complexities, such as:

• Data diversity and heterogeneity: AI data can come from various sources, types, and formats, which can pose challenges for data integration, alignment, and representation.
• Data volume and velocity: AI data can be massive and dynamic, which can pose challenges for data storage, processing, and transmission.
• Data veracity and variability: AI data can be uncertain, incomplete, inconsistent, noisy, or biased, which can pose challenges for data quality assessment and improvement.
• Data ethics and privacy: AI data can be sensitive, personal, or confidential, which can pose challenges for data protection, security, and compliance.

As you can see there is no one-size-fits-all approach to measure and improve data quality for AI, as different data sources, domains, and applications may have different quality requirements and criteria.

What are your Data quality challenges? Solutions vary based on the problem, here are few guidelines to frame your approach to data quality

• Define the data quality objectives and metrics based on the specific needs and goals of the AI project.
• Collect and preprocess the data to ensure its consistency, validity, and usability.
• Analyze and evaluate the data to identify and quantify the quality issues, such as missing values, outliers, errors, duplicates, noise, and bias.
• Improve and monitor the data quality by applying various techniques, such as data cleaning, data integration, data augmentation, data annotation, and data validation.
• Continuously update the data quality as the data and the AI models evolve and change over time.

Start your AI Journey from quality Data as FIRST STEP!!!