Enhancing Data Quality Assurance with AI Models: Practical Applications and Benefits

When
15 Jan 2025
12:00 PM - 1:00 PM
Location
https://zoom.us/j/97152309902?pwd=pxggGH7IGTSyAkY1I3ugz4woR6fbaB.1

Registration

Program

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CQAA January 2025

Enhancing Data Quality Assurance with AI Models: Practical Applications and Benefits

About the Topic

The rise of machine learning in recent years is closely tied to the rise of big data. In today's data-driven landscape, ensuring the reliability and integrity of data is crucial for informed decision-making and operational efficiency. Quality Assurance (QA) professionals play a vital role in maintaining data quality standards across organizations. With advancements in Artificial Intelligence (AI) and machine learning, QA teams can now leverage sophisticated AI models to automate and enhance data quality checks. These checks encompass several dimensions, including: Accuracy: Ensuring that data is correct and free from errors. Completeness: Verifying that all required data is present and accounted for. Consistency: Checking that data is uniform and compatible across different systems and datasets. Timeliness: Ensuring that data is up-to-date and relevant at the time of use. Relevance: Confirming that data is pertinent to the specific needs and context of its application. Validity: Verifying that data conforms to the defined formats, ranges, and standards. Uniqueness: Identifying and removing duplicate records to maintain data integrity. By addressing these dimensions, QA teams can significantly improve the overall quality and reliability of data, thereby enhancing the effectiveness of data-driven decision-making and operational processes

Key Learning Objective

Importance of Data Quality Dimensions
Role of AI and Machine Learning
Impact on Operational Efficiency
Future Trends and Adaptation

About the Speaker

Karthikeyan Ramachandra

Karthikeyan Ramachandran is a technology leader with over 15 years of experience specializing in test automation, architecting automation solutions, release management, and Agile practices. Karthikeyan is passionate about Artificial Intelligence (AI) and Machine Learning (ML) and their transformative impact on technology and business processes

Registration

REGISTRATION IS REQUIRED TO ATTEND THIS PROGRAM.

Please register by January 13th, 2025 at www.cqaa.org.

If you have any questions, please contact info@cqaa.org.

Date: Wednesday, January 15th 2025, from 12:00pm-1:00pm

Location
Webinar - https://zoom.us/j/97152309902?pwd=pxggGH7IGTSyAkY1I3ugz4woR6fbaB.1

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