Connecting your Data Estate with IBM webMethods Hybrid Integration
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Most companies are investing in Artificial Intelligence as a strategic priority. Yet many AI projects stall, underdeliver, or can’t demonstrate clear ROI.
The gap is almost always data. With stronger proprietary data on customer behaviour, operational patterns, and domain-specific knowledge, organisations will enhance their AI model and gain a competitive advantage. Models will no longer be trained on the same data as everyone else’s, meaning they won’t think like everyone else’s models, either.
But here’s the catch: most company data isn’t AI-ready.
A common problem across a range of industries, there are three main reasons for this:
- Data is siloed and trapped in disconnected applications and systems
- It’s ungoverned, inconsistent and poorly labelled with no clear lineage
- It’s not flowing – batch processes and legacy pipelines can’t feed modern AI at speed.
AI readiness, then, at its core, is a data orchestration problem. Thus, integration should be the foundational layer for any serious AI programme.
Step forward IBM webMethods Hybrid Integration.
In this webinar, Anya Consultancy Services will explain how IBM webMethods can connect your data estate – on-premises, cloud, SaaS, and legacy systems – into a coherent, governed flow.
The capabilities of IBM webMethods that directly enable AI readiness will be explored, including:
- Real-time data pipelines – feeding models with current, relevant data rather than stale exports
- Data governance and lineage – knowing where data came from, how it’s transformed, and whether it can be trusted
- API management – exposing clean, consistent data to AI tools and model training environments securely
- Event-driven architecture – triggering AI workflows in response to live business events
An illustrative use case will also be discussed as part of the session, and attendees will hear expert insights from an IBM speaker (TBC).
Whether you are driving AI strategy or implementing it, join the session to learn how you can employ IBM webMethods to bridge the gap between AI ambition and practical delivery and ensure your data is worthy of your AI ambitions.
Secure your place today by completing the form below.
Webinar Details:
Date: Thursday, 16th July 2026
Time: 11:00 – 11:45
