Data Discovery Workshop

Kickstart your journey to AI-ready healthcare data

Join our Data Discovery Workshop, a guided 90-minute session designed for healthcare organizations to identify data challenges, assess readiness, and build a roadmap toward governed, FHIR-compliant, and AI-enabled infrastructure on AWS.

Fill out the form to register for the workshop.

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How we can help?

Who’s it for

Healthcare leaders

CXOs, business heads, and digital transformation leaders looking to modernize healthcare operations with unified, compliant, and AI-ready data.

Data and compliance teams

CDOs, CTOs, Data Architects, and Compliance Officers responsible for managing HIPAA, HITRUST, and FHIR frameworks.

Clinical and innovation teams

Teams focused on AI-driven care delivery, predictive analytics, or operational optimization but constrained by inconsistent or siloed data.

What’s the agenda

Current state assessment

Map your healthcare data landscape, EMRs, claims, IoT, and research sources, to identify silos, integration gaps, and governance workflows. Understand how your current architecture aligns (or conflicts) with FHIR, HIPAA, and HITRUST standards.

Problem diagnosis

Pinpoint blockers slowing AI adoption and interoperability. From manual data prep and schema mismatches to compliance bottlenecks and quality issues. Get clarity on where automation and AWS-native tools can deliver the fastest impact.

Win scenarios

Explore high-value use cases across care, operations, and research, such as predictive analytics, automated compliance reporting, and GenAI insights powered by LakeStack Health and AWS services like SageMaker and QuickSight.

Q&A with experts

Engage directly with AWS-certified data and compliance architects. Get tailored recommendations for achieving AI readiness, governance automation, and healthcare data standardization, all within your AWS account.

What’s the outcome

Clarity on healthcare data challenges and opportunities

Get a clear picture of where your data landscape stands today, from fragmented EMR and claims systems to compliance blind spots. Receive a tailored roadmap outlining short-term fixes and long-term modernization steps for AI readiness.

Tangible next steps for AI-ready transformation

See exactly how LakeStack Health can unify your healthcare data, automate HIPAA/HITRUST governance, and make it instantly usable for analytics and GenAI, all within your AWS account.

Hands-on experience with AWS-native solutions

Gain practical insight into how AWS services like HealthLake, Glue, and SageMaker integrate with LakeStack Health to accelerate interoperability, compliance, and insight generation.

Funding and implementation alignment

Understand your eligibility for AWS funding programs and credits, and learn how Applify simplifies deployment planning and operational enablement.

Executive-ready validation

Leave the workshop with a quantified business case demonstrating how governed, AI-ready healthcare data can reduce compliance effort, improve reporting velocity, and unlock new patient-care and research outcomes.

Our industry perspective

How does Lakestack automate data cleansing and tagging processes

Data cleansing is more than just removing errors, it’s about ensuring that the information powering your analytics and AI systems is accurate, consistent, and trustworthy. Cleansing typically involves fixing typos, standardizing formats, removing duplicates, and filling in missing values.

August 27, 2025

Data Lakes

What are the main challenges organizations face with traditional data lakes and warehouses

Traditional data lakes and warehouses are struggling to meet today’s data demands. This blog explores the biggest challenges, including silos, rising costs, lack of real-time capabilities, governance risks, and limited scalability.

August 26, 2025

Data Lakes

Understanding the key differences between Data Lake Vs Data Warehouse

In 2024, data is the cornerstone of decision-making and innovation, making the architecture for storing and managing data crucial.

July 1, 2024

Data Lakes

Don’t let data readiness hold you back from AI-powered care.

Still stuck in “data readiness” while others move to AI-powered care? Clinicians waiting weeks for reports instead of insights that could save lives? IT teams buried in endless HL7/FHIR mappings, governance rules, and compliance audits? If your organization is drowning in disconnected EHR, lab, and claims systems, spending more on integration than innovation. While competitors launch predictive care and GenAI copilots. It’s time to change course. It’s time for LakeStack Health.