Allison Ritz is an experienced leader in the technology sector, with a strong background supporting some of the world’s largest government contracting organizations. A certified APMP member, Allison is a recognized thought leader and frequent speaker at GovCon events, sharing insights on the power of strategic connections. Her passions lie in driving success by helping organizations realize the value of meaningful relationships. With a firm belief in the importance of planning, process, and thoughtful execution, Allison excels at making SaaS solutions personal, fostering long-lasting, profitable client relationships.
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Data Readiness for AI & Tech Adoption Success
While AI is hailed as a transformational force in the proposal industry many organizations remain stuck in experimentation mode because their data foundations are weak. This session provides a practical roadmap for achieving data readiness by focusing on content integrity and structured taxonomies. By moving away from a magic wand mentality and toward rigorous governance teams can turn AI into a dependable multiplier for their capture and proposal workflows.
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In this webinar we will discuss
Understanding the Gap Between AI Ambition and Execution
Most executives believe AI will be transformational but only a small fraction are seeing measurable value due to structural unreadiness. Successful deployment depends on aligning data and workflows rather than simply focusing on the technology itself.
Implementing the Four Pillars of Data Readiness
Data readiness relies on content integrity and accessibility along with process maturity and strong governance. Weakness in any of these areas will degrade AI outputs and prevent the technology from scaling efficiently.
Structuring Data Through Taxonomy and Metadata
AI requires a clear organizational backbone to retrieve precise and relevant information without guessing. Proper tagging of capability statements and proof points ensures that generated content is grounded in trusted evidence.
Evaluating Vendors and Establishing Ownership
Choosing a vendor requires asking critical questions about data assumptions and how the system cites its sources. Organizations must also define specific owners for data management to keep reusable content current and defensible.
Speakers
Allison Ritz
Director of Product Marketing
VisibleThread
Allison Ritz
Director of Product Marketing
VisibleThread
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