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Yasmin
El-Hendi
Lead GTM Data Analyst
Cisco
Yasmin El-Hendi is a Data Analyst focused on using data and AI to drive business strategy and digital transformation. With over four years’ experience at Cisco and Avanade, she combines technical expertise, strategic thinking, and strong stakeholder management to deliver measurable business outcomes. At Cisco, she helps organisations improve customer engagement and operational efficiency through AI-powered insights, automation, and cloud-based solutions. Previously, she supported clients in finance and utilities at Avanade, designing scalable cloud architectures and data strategies that align technology investments with business goals. She is certified in Microsoft Azure and AI Fundamentals, with a particular interest in how emerging technologies can enable smarter decision-making in enterprise and customer experience environments.
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18 June 2026 11:15 - 12:00
AI hack lab: Update your prompt library and build GTM co-pilots in real time
Most AI sessions stay theoretical; this one is all doing. In this live “hack lab”, you’ll work with peers to design prompts, workflows, and custom GPTs that plug straight into real GTM work - research, messaging, personalisation, and more. You’ll choose a GTM pillar (for example, messaging, customer and market research, campaign planning, sales enablement) and join a roundtable with others facing similar challenges. You'll join a table led by an expert to guide the conversation. Together, you’ll: - Share your best current prompts, workflows, and AI use cases. - Design and refine new prompts or custom GPT concepts for specific jobs (e.g. persona research, account deep‑dives, email personalisation, objection‑handling, battlecards). - Map opportunities for automation and personalisation in your day‑to‑day GTM motion (including where AI should not be used). Throughout the session we’ll co‑create a shared Google Doc capturing: - The best prompts and prompt patterns from each table. - Ideas for custom GPTs / agents tied to clear GTM workflows. - “Gotchas” and safeguards from teams already using AI in production. By the end, you won’t just have ideas - you’ll leave with a crowd‑sourced prompt library and AI playbook you can start using with your own tools the very next day.