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Your enterprise’s success depends on trustworthy, high-quality data. Yet silos, duplication, and compliance gaps silently erode business value while exposing you to regulatory risk. With GDPR, CCPA, DPDP, and HIPAA tightening requirements, the margin for error is shrinking. At the same time, cloud adoption, AI initiatives, and digital transformation can only succeed if the data feeding them is governed and reliable. Without robust governance, these efforts falter, leaving organizations vulnerable to fines, inefficiencies, and poor decision-making.
HTC’s AI-led, human-in-the-loop Data Governance Framework restores data trust, ensures compliance, and creates a scalable foundation for growth—empowering enterprises to unlock the full value of their data and thrive in an increasingly complex digital landscape.
Governance maturity evaluation, definition of the charter, and development of a roadmap aligned with business priorities.
Operating model design, ownership structures, and policies covering data quality, privacy, and security.
Evaluation, selection, and implementation of governance tools, including cataloging, classification, lineage, and AI-led data quality automation.
Team training, stewardship processes, and dashboards that embed governance into everyday operations.
Strategy & Roadmap Development
Governance maturity is evaluated, charters are defined, and actionable roadmaps are created to align data strategy with enterprise growth objectives.
Data Quality & Trust Frameworks
AI-led profiling, cleansing, and monitoring ensure that enterprise data remains accurate, reliable, and trusted across the organization.
Metadata & Catalog Management
Intelligent catalogues with classification and lineage capabilities make enterprise data transparent, searchable, and easy to understand.
Privacy & Regulatory Compliance
Automated controls and audit-ready reporting keep enterprises compliant with DPDP, GDPR, HIPAA, SOX, and other evolving regulations.
Master & Reference Data Management (MDM/RDM)
Trusted single sources of truth are created through automated matching, linking, and deduplication across critical domains.
AI & Data Governance
Frameworks are established to govern AI models, manage risks, and ensure transparency and explainability, while maintaining compliance with emerging generative AI standards.
Technology Enablement & Integration
Tools are evaluated, selected, and seamlessly integrated across platforms such as Microsoft Purview, Informatica, Databricks, and Snowflake, enhanced by HTC’s proprietary accelerators.Every sector carries its own governance challenges, and our solutions are tailored accordingly:
With HTC’s Data Governance, you unlock the true potential of your enterprise data. It’s where trust meets transformation.
In insurance, documents are the foundation—ACORD forms, loss runs, inspection reports, and policy PDFs drive every step of the customer journey.
Digital transformation is a monument built atop strong, modern data management. In the era of expanding the ‘datasphere’ and overwhelming amounts of dark data, stitching together the right pieces of information in real-time is the competitive edge.
Podcasts
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In the past year, Generative AI (GenAI) has emerged as one of the most remarkable breakthroughs, triggering a transformative wave across the global economic and IT landscape.
In this age and probably in the next century, artificial intelligence (AI) will be the cornerstone for futuristic enterprises seeking to make an impact.
In the dynamic landscape of artificial intelligence, Large Language Models (LLMs) stand as formidable entities, capable of processing vast amounts of information and making decisions that impact users.
The pressure is on. Every enterprise needs to be an AI-first organization. Yet, building formidable AI capabilities presents its own unique set of challenges.
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The advent of Generative AI models had a significant impact across industries – but most importantly, it accelerated the mainstream adoption of automation, thus enhancing speed and productivity.
Case Studies
We prevented more than 80% of wrong supplier codes in its first iteration, enabling a global automobile company to optimize its production with AI and ML-led solutions.
Case Studies
We helped a large public research university in California build AI/ML-driven solutions for managing technical data.
Case Studies
We enabled a multinational mass media and entertainment conglomerate enhance its interactive training modules with a VR-based 360° solution.
Case Studies
We enabled a 70% reduction in the turnaround time for auto claims, helping the insurer reimagine claims intake with an AI-based FNOL solution.
AI has been envisioned as a business multiplier for decades, but its adoption has only recently gained pace.
The retail industry is rapidly adopting Machine Learning, Computer Vision AI, and smarter AI-led solutions to enhance customer experiences, drive supply chain optimization, smarter in-store operations, and more. Generative AI, however, can help them achieve more.
Generative AI models and similar architectures are known for their impressive and versatile features. These models have revolutionized natural language understanding and generation.
AI-powered solutions are helping businesses gain deeper insights to make data-driven decisions with enhanced precision.
Talk to our domain experts to understand the best Enterprise AI use cases for your business.
Talk to our domain experts to understand the best use cases of Enterprise AI for your business.
© Copyright 2025 HTC Global Services. All Right Reserved
© Copyright 2023 HTC Global Services. All rights reserved
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