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

The strategic power of data warehousing and business intelligence for modern organizations

A data warehouse is a centralized system that collects, transforms, and stores structured data from various internal and external sources. Unlike traditional databases that only focus on daily transactions, a data warehouse is designed specifically for analytics and long-term visibility. Industry sources show that organizations using structured data warehouses see a 30 percent improvement in reporting accuracy and up to 50 percent faster analytics cycles.

December 15, 2025

Data Lakes

Lakestack

AWS Database Migration Service

The role of data warehousing in driving smarter healthcare decisions

Data warehousing in healthcare is no longer a luxury, it is a strategic imperative. By centralizing fragmented data and enabling fast, reliable analytics, healthcare data warehouses improve clinical outcomes, optimize operations, strengthen financial performance, support compliance, and accelerate innovation.

December 11, 2025

Data Lakes

Lakestack

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

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

How much longer can your teams stay stuck preparing PHI while leadership expects AI-driven outcomes? How many quarters will engineers spend building pipelines that never feel complete? How long can you keep saying “we’re fixing the data foundation” while peers launch clinical copilots, fraud models, and population health analytics? Healthcare AI doesn’t stall because of lack of ambition. It stalls because data is still fragmented, not governed, and not ready for real use. The longer foundations take, the further outcomes slip.It’s time for LakeStack Health.