Header - EWS 2021

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Established 1997 - 100% Project Success Rate

AI Data Management Consulting

AI doesn’t fail at the algorithm – it fails at the data. EWSolutions builds the clean, governed, AI-ready data foundations that turn machine learning investments into measurable business outcomes, reducing program costs by over 91%.

By the Numbers
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Trusted by Global Leaders & Federal Agencies
The EWS Difference

Your AI Is Only as Good as the Data Behind It

AI-Ready Data Foundations

Before a model can learn, data must be clean, consistent, and governed. EWSolutions builds the unified data infrastructure that eliminates the quality gaps causing 87% of enterprise AI projects to stall or fail before reaching production.

Governed Data That Models Can Trust

AI trained on ungoverned data produces ungoverned outputs - and in regulated environments, that is a liability. EWSolutions integrates data governance directly into your AI pipeline, ensuring every model is trained on data that is accurate, traceable, and compliant.

ROI from AI, Not Sunk Costs

Organizations spend millions on AI infrastructure and models, then watch initiatives collapse under poor data quality. EWSolutions has delivered 155+ programs where data foundations translated directly into measurable AI performance - every single time.

Scalable from Pilot to Enterprise

AI data strategies that work for a single use case often collapse at enterprise scale. EWSolutions designs AI data management architectures built for scale from day one - so your pilot becomes a platform, not a proof-of-concept graveyard.

Leadership

The Data Authority Behind Your AI Strategy

Every EWSolutions AI data management engagement is personally directed by David Marco, PhD, whose three decades at the intersection of enterprise data strategy and emerging technology make him the authority organizations turn to when AI initiatives must succeed.

While others offer AI consulting built on enthusiasm, David Marco, PhD brings the foundational expertise that determines whether AI investments deliver or disappear – a track record of 155+ enterprise programs, zero failures, personally led from scoping to delivery.

David Marco PHD EWSolutions
David Marco, PhD

President & Executive Advisor, EWSolutions

Client Results

Data That Makes AI Perform.

From healthcare analytics to federal data programs, EWSolutions has built the data foundations that make AI and advanced analytics actually work – at the organizations where data failure is not an option.
What Data Leaders Ask

AI Data Management FAQs

The questions CDOs and technology executives ask most when evaluating an AI data management partner.
AI data management is the discipline of preparing, governing, and maintaining the data that enterprise AI and machine learning models depend on. It encompasses data quality, integration, lineage, governance, and architecture – everything that determines whether an AI system learns from reliable information or produces unreliable outputs. EWSolutions builds the complete data foundation that makes AI investments viable, not just ambitious.
The most common cause of AI project failure is not the model – it is the data feeding it. Siloed systems, inconsistent definitions, poor data quality, and ungoverned pipelines all undermine AI performance before a single prediction is made. EWSolutions addresses these root causes directly, which is why our clients see measurable AI performance where previous initiatives stalled.
An AI data readiness assessment evaluates your current data landscape against the requirements of your AI use cases – examining data quality, completeness, lineage, accessibility, and governance. EWSolutions delivers a structured findings report with a prioritized remediation roadmap, so your team knows exactly what must change before AI investment scales.
Data governance defines who owns data, how it is defined, and how its quality is enforced – all of which directly determine what an AI model learns. Without governance, AI systems are trained on data that is inconsistently defined, poorly maintained, and potentially non-compliant. EWSolutions integrates governance into the AI data pipeline so models are built on foundations that are both technically sound and organizationally trusted.
Timeline depends on the complexity of your data environment and the scope of your AI use cases. EWSolutions typically delivers initial AI data architecture and quality improvements within 60-120 days, with measurable improvements to model performance visible within the first program phase. Our proprietary methodology eliminates the trial-and-error that inflates timelines at other firms.
EWSolutions has delivered AI data management programs across healthcare (Mayo Clinic, Harvard Pilgrim, Ingenix), financial services, federal agencies (FBI, DoD, FAA), consumer goods, energy, and technology. Any organization deploying AI in a regulated environment or at enterprise scale benefits from EWSolutions’ approach – where data quality and governance are treated as prerequisites, not afterthoughts.
Ready to Make Your AI Investments Work?

28 Years. 155+ Programs. Zero Failed Engagements.

AI without governed data is an expensive experiment. EWSolutions builds the data foundations that make enterprise AI deliver real outcomes. Schedule a strategic consultation with David Marco, PhD, President & Executive Advisor.

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