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Scaling AI Across the Business
September 16, 2025 @ 1:00 pm – 2:00 pm EDT
Event details
In 2025, scaling AI is no longer a research and development side project; it’s an operational imperative. And yet, many organizations struggle to see a meaningful return on investment (ROI) at the speed the business demands.
Successfully scaling AI across the enterprise requires a return to the foundational principles of high-performing technology organizations. These principles were first popularized through DevOps and have evolved into DevOps’ AI-focused successor: machine learning operations (MLOps). Today’s leaders face a dual mandate: industrializing a pipeline of promising AI use cases while ensuring trust, quality, and demonstrable value.
The urgency to deliver speed to market has never been greater. Capital investments in AI are enormous both in funding and in time and expertise of top talent across departments. Still, fear of falling behind isn’t justification for hasty or misaligned efforts.
Learning objectives
After attending this session, you should be able to:
- Assess your organization’s current AI maturity and identify the biggest bottlenecks to scale
- Design an enterprise AI operating model that balances speed, safety, and cross-functional ownership
- Implement fit-for-purpose governance controls, including data lineage, prompt risk scoring, and large language model gateways
- Apply MLOps automation and monitoring to sustain quality in nondeterministic, multimodel environments
Continuing professional education
Prerequisites: None
Program level: Basic
Advance preparation: None
Delivery method: Webinar (group internet based)
Field of study: Information technology
This session is recommended for 1.0 hour of CPE credit.
Note: All participants MUST be logged into the webinar INDIVIDUALLY to receive CPE credit. CPE credit will only be granted in the name of the individual logged into the LIVE presentation. Crowe is unable to grant CPE credit for groups viewing the webinar or for viewing on-demand recordings of the webinar.
There is no registration fee for participating in this webinar; therefore, there is no cancellation fee.
