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The world is witnessing the dawn of a new era of AI, fueled by continuous breakthroughs in generative and other capabilities. This rapid progress translates to a multitude of exciting opportunities across various sectors, especially in the realm of marketing. This powerful technology has the ability to transform nearly every aspect of the customer journey, crafting hyper-personalized experiences and fostering deeper engagement. Moreover, AI can significantly expedite time to market, allowing you to capitalize on trends and reach customers faster than ever before.

As companies deploy generative AI for customer service, coding, cybersecurity, automation, and many other business cases, they are faced with significant challenges that come along with it. This includes huge volumes of data, massive computing power, advanced security architecture, security/compliance requirements, and the need for rapid scalability.

Join us for a candid conversation with Adobe’s marketing team along with an impressive industry panel, where they’ll unveil how they’ve operationalized generative AI to drive significant gains in personalized content creation and productivity.

The world is witnessing the dawn of a new era of AI, fueled by continuous breakthroughs in generative and other capabilities. This rapid progress translates to a multitude of exciting opportunities across various sectors, especially in the realm of marketing. This powerful technology has the ability to transform nearly every aspect of the customer journey, crafting hyper-personalized experiences and fostering deeper engagement. Moreover, AI can significantly expedite time to market, allowing you to capitalize on trends and reach customers faster than ever before.

Join us for an educational peer-to-peer lunch & learn workshop event that goes beyond the AI platform wars into the challenges and opportunities facing large enterprises. Leading organizations understand that the opportunity to grow revenues or save costs with AI starts and ends with an effective enterprise data strategy. The quality, diversity, and relevance of the data directly impact the performance, adaptability, and ethical considerations of generative AI models. Discover how innovative companies are getting their data house in order for Generative AI, Machine Learning, and Automation while gaining insights into governance, privacy and security considerations.