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CIMdata to Host Webinar that will Share AI Governance Strategies
TelAve News/10900630
The upcoming webinar will show how to operationalize AI to deliver measurable business outcomes.
ANN ARBOR, Mich. - TelAve -- CIMdata, Inc., the leading global research, consulting, and education firm specializing in Product Lifecycle Management (PLM) and the digital transformation it enables, announces a free educational webinar titled "From AI Experimentation to Enterprise Value: AI Governance Strategies for Trusted AI at Scale."
The webinar is scheduled for Thursday, August 13th, at 11:00 a.m. (EDT) and will explore practical approaches to AI governance to help organizations accelerate adoption while maintaining trust, oversight, and business alignment.
Many organizations have successfully piloted AI initiatives, but moving beyond isolated use cases to scalable, enterprise-wide adoption remains a major hurdle. As Generative AI, Agentic AI, and intelligent automation become more deeply embedded in business processes, the pressure is mounting to balance rapid innovation with stringent security, accountability, and measurable business value.
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Without effective governance, AI initiatives often stall due to concerns about data quality, transparency, regulatory compliance, decision accountability, and operational risk. At the same time, organizations must establish frameworks that enable innovation rather than constrain it.
What attendees will learn about:
"The organizations that realize the greatest value from AI are not necessarily those with the most advanced technology—they are the ones that establish governance frameworks that build trust, enable accountability, and support sustainable adoption," said Janie Gurley, Director of the Data and AI Governance Practice at CIMdata and webinar leader.
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Also joining the webinar is Dr. Diego Tamburini, AI Practice Director at CIMdata, who added, "There's no single AI governance playbook. Governing a RAG-based assistant, a predictive model you train in-house, an AI-augmented workflow, and an autonomous agent are four distinct problems—the controls must fit the mechanism."
To learn more, visit https://www.cimdata.com/en/education/educational-webinars/webinar-from-ai-experimentation-to-enterprise-value-ai-governance-strategies-for-trusted-ai-at-scale. To register for the webinar, please visit https://register.gotowebinar.com/register/8903932474757015386.
The webinar is scheduled for Thursday, August 13th, at 11:00 a.m. (EDT) and will explore practical approaches to AI governance to help organizations accelerate adoption while maintaining trust, oversight, and business alignment.
Many organizations have successfully piloted AI initiatives, but moving beyond isolated use cases to scalable, enterprise-wide adoption remains a major hurdle. As Generative AI, Agentic AI, and intelligent automation become more deeply embedded in business processes, the pressure is mounting to balance rapid innovation with stringent security, accountability, and measurable business value.
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Without effective governance, AI initiatives often stall due to concerns about data quality, transparency, regulatory compliance, decision accountability, and operational risk. At the same time, organizations must establish frameworks that enable innovation rather than constrain it.
What attendees will learn about:
- How to build an AI governance blueprint that safely accelerates adoption across your company rather than creating a bottleneck.
- Specific strategies to oversee both Generative AI and autonomous Agentic AI workflows without stifling innovation.
- How to establish clear ownership and accountability for decisions made by AI assistants and automated agents.
- Practical frameworks for measuring AI effectiveness, employee adoption rates, and actual bottom-line ROI.
- How to turn data quality and transparency into a competitive advantage that builds trust internally and externally.
- Methods for aligning your AI governance activities directly with your organization's high-level strategic goals.
"The organizations that realize the greatest value from AI are not necessarily those with the most advanced technology—they are the ones that establish governance frameworks that build trust, enable accountability, and support sustainable adoption," said Janie Gurley, Director of the Data and AI Governance Practice at CIMdata and webinar leader.
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Also joining the webinar is Dr. Diego Tamburini, AI Practice Director at CIMdata, who added, "There's no single AI governance playbook. Governing a RAG-based assistant, a predictive model you train in-house, an AI-augmented workflow, and an autonomous agent are four distinct problems—the controls must fit the mechanism."
To learn more, visit https://www.cimdata.com/en/education/educational-webinars/webinar-from-ai-experimentation-to-enterprise-value-ai-governance-strategies-for-trusted-ai-at-scale. To register for the webinar, please visit https://register.gotowebinar.com/register/8903932474757015386.
Source: CIMdata
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