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Charlene
Baker
North America: Strategic Program & AI Efficiency Lead
Oracle
Charlene is a Strategic Program and AI Efficiency Lead in North America at Oracle who helps sales organizations turn AI ambition into practical, measurable business impact. She leads change initiatives that build confidence in AI, reduce hesitation, and equip teams to use it thoughtfully throughout the sales cycle, from planning and pipeline creation to deal progression, closing, renewals, and implementation. Her work brings together sales, business operations, virtual teams, and other cross functional partners to create scalable AI-enabled processes. Charlene champions a disciplined approach: AI solutions should align to business strategy, supported by accurate data, clear KPIs, and purposeful collaboration, not simply be built because they can be. Through initiatives such as AI hackathons, she helps teams move from experimentation to adoption while avoiding duplicated, low value resources that consume time and budget. Outside of work, Charlene enjoys spending her time with family & friends, golfing, and anything outdoors with her two sons.
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27 October 2025 16:30 - 17:00
Panel | AI use cases that actually move the needle for enablement
Every enablement professional has sat through a pitch promising that AI will transform their function overnight. Most of those promises evaporate the moment they hit a real workflow. This session cuts through the noise to focus on what is actually working right now: the specific, tested applications of AI that are freeing up enablement teams' time and sharpening the quality of what they produce. Rather than theorizing about the future of AI in enablement, this session grounds the conversation in practice. Expect real examples of how enablement leaders are using AI to accelerate content creation, personalize training at scale, surface coaching insights from call data, and cut down the manual work that eats into strategic time. The goal is not to chase every new tool, but to build a practical filter for which AI applications are worth adopting and which ones simply add noise to an already full plate. Key takeaways: - Concrete AI use cases enablement teams are using today, and the specific time or quality gains they are seeing - A framework for evaluating whether a new AI tool or workflow is worth adopting versus a distraction - Practical first steps for enablement professionals who want to start using AI without a technical background or big budget