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AI Data Management

Integrate AI into your enterprise data management to unlock hidden insights, streamline processes, and secure your data assets.

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100% Client Success

Since 1997, EWSolutions has delivered 155+ successful data management programs for Global 2000 companies and federal agencies, achieving proven, measurable results.

Trusted by Federal
Agencies & Defense

Trusted by U.S. federal agencies, we build mission-critical data governance programs where security, compliance, and reliability are non-negotiable.

Data Governance That
Enables AI Success

We transform inaccurate, unstructured data into a clean, unified foundation, ensuring your AI and analytics initiatives deliver real ROI.

Built for
Commercial ROI

We deliver measurable outcomes—reduced costs, stronger strategy—for clients from the Fortune 500 to the mid-market.

Personally Led
by Dr. David P. Marco

Guided by Dr. David Marco, the world's foremost authority on Data Governance, who has personally delivered 50+ successful enterprise projects.

We Know What Big
Consulting Firms Don't

While Big 4 consultancies name-drop data governance, while we wrote the books on it.

Power Your AI with Trusted Data

Artificial intelligence is only as reliable as the data that fuels it. Our experts build the critical foundation for your AI and machine learning initiatives, implementing robust data governance and data quality frameworks. We transform your raw, complex data into a pristine, structured, and AI-ready asset.

This ensures your AI models are trained on accurate, compliant, and complete information. By mastering your data-to-AI pipeline, we help you move from pilot projects to full-scale production, unlocking reliable generative AI, predictive analytics, and automated insights that drive real business value.

Testimonials

Leadership

Dr. David P. Marco, PhD, Fellow IIM, CBIP, CDP

President, EWSolutions

Best known as the world’s foremost authority on data governance and data literacy, he is an internationally recognized expert in the fields of data management, advanced analytics, data warehouse, business intelligence, metadata management and data stewardship.

Enhance Your Business with AI Data Management Solutions

Identify hidden opportunities within your data that drive business value and improve operational efficiency.

Gain Deeper Customer Insights

Leverage AI to analyze customer behavior and uncover hidden trends.Our tools empower you to:

  • Predict future needs and segment your audience.
  • Enable personalized engagement strategies.
  • Drive deeper connections and long-term loyalty.

Maximize the Value of Your Data Assets

Unlock the full potential of your data with AI-powered analytics that transform raw information into actionable insights. We help you:

  • Integrate diverse datasets.
  • Optimize processes with targeted recommendations.
  • Boost efficiency and drive business performance.

Implement Enterprise-Wide AI Data Management

Build a robust foundation that delivers consistent, high-quality data by creating a unified view through the integration of diverse sources on cloud-enabled platforms, enabling efficient data governance and informed decision-making across the enterprise.

Unlock the Power of AI Data Management

AI Data Management infuses artificial intelligence into the administration of your data. It transforms the entire data lifecycle, improving data integration, analysis, decision-making, and security.

AI addresses key data challenges and helps you implement best practices at scale. An effective program requires a vendor-neutral framework (like ours) to ensure all the right components and processes are in place.

EWSolutions: Pioneering Data Management Excellence Since 1997

EWSolutions’ award-winning data management programs focus on providing measurable ROI to your organization.

EWSolutions has a methodology and approach for building a sustainable enterprise data management program.

We’re vendor-neutral, so our only focus is ensuring your success.

We understand how to build world-class data management programs in the federal space.

AI Data Services

Classification & Cataloging

We use AI to automate data tagging and classification. This streamlines collection and enables precise annotation across your data warehouse, creating:
- A clear data lineage for all data types.
- Scalable, effective data management.
- Reliable data governance

Data Integration

We merge diverse data sources (both structured and unstructured) into a single view using AI. Our process guarantees data integrity and manages critical dependencies, preparing your data for analysis and reducing costs.

Data Visualization

We use AI tools, Natural Language Processing (NLP), and ML models to transform complex data into clear, actionable insights. This allows us to create:
- Intuitive dashboards and visual reports.
- Dynamic visualizations that provide essential insights for your data scientists.

Automation of Database Administration Tasks

Reduce manual workloads by automating routine DBA tasks. We leverage AI and ML to continuously monitor and optimize database performance, freeing your team to focus on strategic projects.

Cloud Data Management

We equip your organization with cloud-native solutions that optimize storage and data access. By integrating technologies like data lakes, Generative AI, and Large Language Models (LLMs), we streamline data integration in hybrid environments to reduce costs and enhance scalability.

Data Quality & Security

We enhance data quality and protect sensitive information using AI-powered anomaly detection. Our solutions proactively monitor, detect, and address bad data, ensuring high data privacy and safeguarding your organization against cyber threats.

Data Governance

We establish robust AI-powered data governance frameworks. Our experts implement policies that enforce data privacy, ensure compliance, and manage unstructured data, fostering trust and accountability.

Data Cleansing

Improve your data quality with AI-powered data cleansing. We streamline data preparation by using ML models to automatically identify and remove duplicates, errors, and inconsistencies at scale, delivering reliable, actionable insights.

Advanced Analytics & Machine Learning

Harness predictive analytics to transform data into actionable insights. Our advanced AI models perform sentiment analysis and entity recognition to uncover hidden trends, enabling targeted recommendations that reduce costs and drive innovation.

Data Literacy Training

Empower your team with data literacy training designed by experts. We simplify complex concepts (like data integration and NLP) to boost productivity and equip your users to manage data as a strategic resource.

AI and Managing Data FAQs

AI fundamentally transforms the data management process by injecting AI-driven automation and intelligence into every stage. Instead of relying on slow, error-prone manual tasks, AI technologies can:

  • Automate Data Cleansing: AI can automatically detect and correct inaccurate data, duplicates, and missing values, which is a massive acceleration over manual data cleansing.
  • Enhance Data Discovery: AI-powered tools and catalogs can automatically scan, classify, and tag all of your organization’s data (both structured data and unstructured), making it easily searchable.
  • Streamline Data Integration: AI-enabled data integration tools can automatically detect relationships between different datasets, simplifying the process of combining fragmented data from different data silos.
  • Democratize Data Analysis: Using Natural Language Processing (NLP), AI systems allow non-technical users to query complex datasets and ask questions in plain English, making data-driven decision-making accessible to everyone.

High-quality data is the single most important factor for successful AI systems. There is a core concept in data science known as “garbage in, garbage out”: if you train your machine learning models on flawed, biased, or inaccurate data, you will get unreliable, flawed, and biased outputs.

Effective AI data management addresses this risk head-on. Instead of reactive data cleaning, an AI-driven data quality management framework:

  • Uses AI algorithms to continuously monitor data in real-time.
  • Automatically detects anomalies, missing values, and inconsistencies against defined standards.
  • Enhances the reliability of all historical data and new data collection, ensuring your data teams are building models on a foundation of clean data.

AI Data Governance is a specific framework of data governance policies and audit trails designed to manage the unique risks and compliance requirements of AI technologies.

This is critically important because many CEOs view data security as the main barrier to adopting AI. An AI governance framework is essential to:

  • Protect Sensitive Data: It implements robust access controls and monitoring to protect sensitive data (like financial records or customer information) from being used improperly by AI models.
  • Ensure Regulatory Compliance: It automates the enforcement of data governance policies to ensure you comply with regulations like GDPR and CCPA.
  • Manage AI Risk & Bias: It provides a structure for data stewards to review, validate, and monitor machine learning models for bias, ensuring your data-driven decisions are fair and ethical.
  • Create Audit Trails: AI can monitor data usage in real-time to identify potential compliance violations and automatically generate audit trails for regulators.

In MDM, AI is used to solve the core challenge of fragmented data living in different data silos. Its primary role is to create a single, trusted source of truth for critical data (like customer or product data).

Where traditional MDM relied on manual rules, AI technologies use machine learning algorithms for:

  • Advanced Entity Resolution: AI can intelligently match and merge records from existing systems, even when the raw data is inconsistent, misspelled, or has missing data.
  • Pattern Detection: AI can analyze customer data to detect anomalies and hidden patterns, improving the overall integrity of the master record.
  • Automation: It automates the consolidation and standardization of data, which supports regulatory compliance and helps create a data-driven culture.

While data management and AI services offer huge advantages, organizations face several common challenges, which is why data management consulting is so valuable. The main hurdles include:

  • Systems Integration: Integrating new AI technologies with complex legacy or existing systems is a major technical barrier.
  • The Data Science Skills Gap: Building and managing effective AI systems requires specialized expertise in data science and machine learning that many in-house data teams lack.
  • High Cost & Resources: Implementing a proper AI-ready data infrastructure requires substantial investment and resources.
  • Data Privacy & Ethics: Using AI to analyze data, especially sensitive data, raises significant concerns over privacy and ethics. A strong data governance and compliance framework is not optional.

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EWSolutions has over 25 years of experience consulting with enterprise and government agencies at scale.