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Read more about Explore Curiosity's webinar collection See moreComplex Payloads | Live on the 25th of February
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Explore Curiosity's collection of webinars, podcasts, blogs and success stories, covering everything from visual modelling to artificial intelligence and test data management.
Deliver superior test data and overcome the challenges of complexity, legacy, scale, and regulation with Curiosity Software.
Join Huw Price, Chairman and Co-Founder of Curiosity Software, for a deep-dive session where you’ll learn how to model, test, and validate intricate data structures with SQL-backed frameworks, avoid missing-data pitfalls, and build systematic verification approaches that catch errors early.
Register today to see how a structured approach to complex payloads delivers the control, validation, and visibility needed to support modern data demands.
In the current digital ecosystem, complex payloads serve as the essential "new glue" connecting every facet of business operations. They are the primary drivers for the vast majority of AI-driven and business intelligence decisions. For the Director-level stakeholder, understanding these payloads is the only viable path to truly driving AI performance and ensuring organizational transparency.
Learn how to break down complex payloads into SQL-based structures that make data easier to understand, analyse, and maintain over time.
Understand how to test payloads and AI logic together so data issues are found early, before they impact downstream systems or AI results.
Discover how to track payload structure, versions, and data rules so changes do not quietly break AI logic or business processes.
Create a single view of payload structure, history, and data lineage to support auditing, compliance, and long-term AI reliability.
Complex payloads sit at the heart of modern AI and analytics, yet they are often the least understood part of the data landscape. When payload structure, context, and data rules are unclear, even the most advanced AI models produce unreliable results.
In this webinar, we’ll explore how a structured approach to managing complex payloads helps teams improve data quality, validate AI logic, and build confidence in the outcomes their systems produce, covering:
Learn how to ingest and parse raw files such as PDF, EDI, and JSON into structured SQL formats. This makes it possible to understand payload content, identify patterns, and validate data before it is used in AI or analytics workflows.
Understand why maintaining a single, trusted definition of payload structure, history, data rules, and lineage is essential. This approach helps manage changing schemas, business decisions, and references to external systems without losing control or context.
Discover why real data should not be used to test prompt logic, and how synthetic complex payloads can be used instead. Learn how to safely populate virtual endpoints and test AI behaviour in a controlled, repeatable way.
Learn how to model business process requirements alongside payload data to define expected outcomes in advance. This makes it easier to spot errors early and reduces rework later in the development cycle.
This webinar is designed for technical teams responsible for building, testing, and maintaining reliable AI and data-driven systems. It will be especially valuable for test automation engineers, AI and LLM practitioners, data engineers, and QA leads who need confidence that complex payloads and AI outputs behave as expected.
Described as “The Godfather of test data”, Huw is a serial test data inventor, and has worked with the world’s largest organisations to transform their test data management. With Curiosity Software, Huw leads on crafting innovative solutions to drive test data and quality success for our enterprise customers.
Harry is a test data management and visual modelling specialist. Since 2020, Harry has worked with some of the largest global organisations across finance, banking, healthcare and manufacturing, helping them to solve complex data generation, compliance and quality challenges.
Explore additional resources or speak with an expert to learn how you can bring structure, control, and confidence to complex payloads and AI-driven testing.
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