Remove Data Quality Remove Gap analysis Remove Testing
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The art and science of data product portfolio management

AWS Big Data

Service Validation and Testing X X. Methodology development This practice deals with the development of concrete, objective frameworks, metrics, and processes for the measurement of data product value and risk. Measurement and Reporting X X. Availability Management X X. Capacity and Performance Management X X. Incident Management X X.

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Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

Companies need to establish clear guidelines for how its data is collected, stored and used, and ensure compliance with data protection regulations like GDPR in the EU, CCPA in California, LGPD in Brazil, PIPL in China and AI regulations such as EU AI Act. Identify gaps related to ethics, transparency, risk and compliance.

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DPDP Act : Brace yourselves for the biggest game-changing legislation for India

CIO Business Intelligence

They should conduct a gap analysis comparing current practices against DPDP requirements to identify critical compliance deficiencies, to prevent reinvention of the wheel. These frameworks should address data quality, algorithmic bias, transparency, and accountability mechanisms that can adapt to evolving regulatory requirements.

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