60%
Regression Cost Reduction
40%
Performance Optimization
60%
QA Effort Optimization
70%
Data Quality Improvement
Enterprises require robust data governance to address the increasing risk of data breaches and security threats in the tech-driven landscape. This becomes more crucial when dealing with Artificial Intelligence (AI) systems at an enterprise level. As AI steadily integrates into core business operations, dealing with biased data and compliance gaps is no longer an option but a necessity.
We at Tx understand the severity of dealing with unreliable data when working with AI systems. We leverage strong data governance frameworks to empower enterprises like yours with high-quality data to build scalable and compliant AI solutions. Our data governance consulting services help you align your AI initiatives with business priorities and establish enterprise-wide transparency and value-driven AI governance.
We leverage AI-powered accelerators and automation methods to facilitate AI System SIT execution and optimize efficiency.
We assist you in identifying relevant data assets in your organization by implementing a data glossary, catalog, lineage, and dictionary utilities.
Our data governance approach helps you enforce enterprise AI policies around data utilization, ethics, and acceptance criteria.
Our experts ensure your AI systems comply with regulatory standards like PCI DSS, GDPR, EU AI Act, and HIPAA with integrated continuous monitoring and robust oversight mechanisms.
Our data governance experts offer practical strategies to enable your teams to improve the AI development lifecycle.
We assist in establishing enterprise-wide access procedures and user roles to enable safer AI development.
Ensure AI models comply with regulations like EU GDPR, CCPA, etc. Optimize AI performance for Retrieval-Augmented Generation (RAG). Gain access to quality data and build user trust. Secure sensitive information from cyber threats and misuse.Improve AI model efficiency with reusable datasets.We follow a systematic approach to data governance with a centralized and scalable framework.
Our experts integrate automation, regulatory standards, and accountability within your AI initiatives, enabling you to innovate with control and confidence.
Speed up AI deployment with governed and refined datasets. Ensure compliance with data privacy regulations when training AI models. Maximize your AI investments by reusing existing enterprise data. Ensure completeness of data for bias-free and trustworthy AI outputs. Deliver reliable AI insights with high-quality and trusted data. Engineered for trust, Tx ensures secure, scalable, and compliant data governance across enterprise AI systems.
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Our AI-centric governance approach ensures your models remain transparent, explainable, and compliant.
We ensure our governance framework aligns with your AI maturity from the strategy to the execution stage.
Our data governance and quality engineering approach ensures your AI initiatives are tested and business ready.
We align our governance expertise with industry-specific needs without slowing your AI development and release cycle.
Data Governance is a strategic framework that defines how data is managed, accessed, and protected across an organization.
Strong Data Governance helps businesses reduce risks, meet compliance requirements, and make informed decisions.
Core components include data ownership, policies, quality standards, stewardship roles, and governance workflows.
The four pillars are:
The 5 C’s are:
By defining ownership, applying validation rules, and enforcing standard procedures, Data Governance minimizes errors, resolves inconsistencies, and ensures that only accurate and relevant data is used.
Popular tools include Collibra, Informatica, Talend, Alation, and IBM InfoSphere.
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