June 4–5, 2025 | Booth 202 | Santa Clara Convention Center
As organizations scale their artificial intelligence and analytics capabilities, the demand for timely, accurate, governed, and AI-ready data has become a strategic priority. According to Gartner, through 2025, at least 30% of generative AI projects will be abandoned after proof of concept due to poor data quality, inadequate risk controls, escalating costs, or unclear business value. At the heart of every successful AI initiative is a well-architected data foundation, and automation is the key to building it at scale.
At the AI & Big Data Expo North America, our team, including experienced data architects and automation specialists, will be on-site at Booth 202 to provide live, expert-led demonstrations and answer real-world questions based on hundreds of customer use cases across finance, healthcare, government, and more.
What You’ll Learn at Booth# 202
WhereScape will provide live demos and technical walk-throughs of our automation solutions, designed to solve the most common challenges facing data teams today: fragmented development workflows, long deployment cycles, limited documentation, and time-consuming hand coding. We’ll showcase:
Automated Data Warehouse Development
WhereScape RED automates the end-to-end process of designing, building, deploying, and operating data warehouses and data marts. Instead of relying on hand-coded SQL or custom scripts, RED generates native code automatically for platforms like Microsoft Fabric, Snowflake, Databricks, SQL Server, Redshift, and others. This allows development teams to shift their focus from repetitive tasks to architecture optimization and delivery strategy.
By leveraging built-in templates and metadata-driven logic, teams can implement data models (e.g., dimensional, Data Vault) in days, not weeks or months, while adhering to internal standards and governance requirements.
Data Vault Express for Rapid Vault Modeling
WhereScape Data Vault Express (DVE) extends WhereScape RED’s capabilities with prebuilt accelerators and automation patterns specifically for Data Vault 2.0. DVE enables data teams to build auditable, scalable, and flexible Data Vault architectures without the overhead of hand coding. It automatically generates hub, satellite, and link structures while preserving full lineage and traceability.
This is ideal for organizations managing large volumes of rapidly changing data, particularly those looking to future-proof their architecture for compliance, agility, and AI enablement.
Data Discovery, Source System Reverse Engineering, and Modeling
WhereScape 3D is purpose-built for rapid source analysis, architecture prototyping, and reverse engineering. It allows you to scan and ingest metadata from existing systems, visually map out new designs, and evaluate different modeling approaches with real-time feedback on complexity, dependencies, and potential risk.
This is particularly valuable during modernization or migration initiatives, where legacy environments must be documented, understood, and transformed with minimal disruption. 3D provides the visibility and agility needed to perform discovery across multiple systems without relying on tribal knowledge or static documentation.
Metadata Management, Lineage, and Governance
All WhereScape solutions share a centralized metadata repository, ensuring that everything from source-to-target mappings to transformation logic and scheduling is captured in real time. This allows users to generate full lineage views instantly, down to the column level, and ensures that data governance practices are enforced consistently across environments.
With metadata acting as the source of truth, users can also automate documentation, simplify change impact analysis, and provide transparency for internal and external audits. This level of observability is critical when supporting AI workloads where data accuracy, trust, and compliance are non-negotiable.
Platform Agnostic and Hybrid Cloud Support
WhereScape is platform-agnostic, supporting a wide range of targets across on-prem, hybrid, and cloud environments. Whether you’re standardizing on Microsoft Fabric, implementing Databricks Lakehouse, migrating to Snowflake, or managing multiple systems in parallel, WhereScape provides a consistent development experience.
This allows teams to reuse patterns and designs across platforms, manage transitions more easily, and avoid being locked into a single vendor’s tooling. Our automation engine adapts to your architecture and scale, reducing the need for platform-specific expertise.
Speaking Session: Designing Smarter Data Warehouses for AI
Feeding the Machine: How to Build a Smarter Data Warehouse for AI
June 4, 2025 | 14:50–15:10 PM PT | AI & Big Data Expo Analytics Track
Presenter: Patrick O’Halloran, Solution Architect at WhereScape
Modern AI systems depend on high-quality data pipelines that are robust, transparent, and scalable. Yet many organizations continue to run AI models on top of data infrastructure built for static reporting.
In this session, Patrick O’Halloran will discuss how modern data architecture must evolve to meet the needs of real-time analytics, machine learning, and AI automation. He will explore how metadata-driven design, automated pipeline generation, and integrated lineage capabilities create a data foundation that is not just reliable, but intelligent and adaptable.
Topics include:
- How metadata can drive faster and more reliable development cycles while reducing technical debt.
- Techniques for automating documentation, lineage, and impact analysis to support AI governance and compliance.
- How to adapt existing data warehouses for AI use cases—without starting from scratch.
- The role of data quality, trust, and version control in maintaining AI model accuracy.
This talk is geared toward data architects, engineers, and leaders who are responsible for delivering infrastructure that supports AI, analytics, and business agility at scale.
Giveaways, Swag, and Prizes
Visitors to Booth 202 will receive WhereScape-branded swag and can enter our on-site raffle for a chance to win one of two prizes:
- An Oura Ring, designed to support data-driven personal health insights
- A LEGO® Star Wars™ set, built for engineers who like to assemble more than just data pipelines
No registration required—just stop by the booth, connect with our team, and explore how automation can elevate your data strategy.
The Value of Automation in Building AI-Ready Data Infrastructure
As data environments become more complex and AI-data ready workloads demand more from underlying systems, automation is no longer optional—it’s foundational. Manual development can’t keep pace with today’s requirements for speed, accuracy, governance, and adaptability.
WhereScape provides the infrastructure-level automation capabilities required to meet these demands head-on. Our tools enable teams to accelerate development cycles, reduce manual errors, ensure end-to-end visibility, and maintain consistent governance—across any platform or environment.
Organizations that use WhereScape have reported reducing manual coding by as much as 95%, delivering data warehouse projects up to 80% faster, and achieving up to six times the return on investment compared to traditional development methods.
If you’re attending the AI & Big Data Expo in Santa Clara, we’d love to connect. Whether you’re in the early stages of evaluating data automation or are actively modernizing your architecture, we’ll show you how WhereScape can reduce effort, increase throughput, and help you build a foundation ready for AI at scale.
Book time with our team here.
About the Author
Kortney Phillips is the Marketing Manager at WhereScape, specializing in data automation strategies and technical content. She collaborates closely with data architects and engineers to translate complex data processes into accessible, actionable insights.Follow her on LinkedIn or check out more insights on the WhereScape blog.
