Name: Ryan Oistacher | AI for Marketing Summit | San Francisco
Start: 2025-09-11T07:00:00.000Z
End: 2025-09-11T07:00:00.000Z
Location: Hyatt Regency San Francisco Airport

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Ryan

Oistacher

Director, Product Marketing

Netwrix Corporation

Ryan is a product marketing, demand generation, and new business development leader focused on building brands within the Microsoft ISV partner ecosystem. With a background in marketing research, enterprise technologies, and web analytics, Ryan is keen on using data to identify opportunities, baseline progress, and exceed targets. As a growth-driven marketing leader, Ryan utilizes macro technology trends, KPIs, business cases, emerging technologies and relevant news events to align sales and marketing campaigns with IT buyer objectives. In light of the rapid advancement and transformative potential of artificial intelligence, Ryan is on the front lines of integrating the generative AI into the content creation, demand generation, and sales enablement process. By harnessing the power of generative AI, he aims to accelerate and optimize marketing deliverables at unprecedented scale and efficiency.

11 September 2025 14:30 - 15:00

Prompt engineering: Optimizing content creation and audience engagement with large language models

In this session, Ryan will explore how marketers can leverage large language models (LLMs) for crafting compelling content, messaging, and positioning. We will discuss the most effective prompts and techniques for optimizing content creation. By harnessing the power of LLMs, marketers can generate captivating copy, value propositions, and customer-centric messaging that resonates with their desired market segments. Attendees will gain valuable insights into prompt engineering best practices, allowing them to create impactful content that drives customer interest, enhances brand perception, and ultimately boosts engagement and conversions. Join us to discover how LLMs can revolutionize your content strategy and help you connect with your audience like never before.