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Generative AI Introduction (Part 1)

Key Takeaways

⇨ Generative AI represents a transformative shift in technology by enabling machines to autonomously create and innovate across various domains, including text, images, and complex simulations.

⇨ Unlike traditional AI, which focuses on analysis and prediction, Generative AI takes a step further by producing entirely new content, as seen in applications like ChatGPT, DALL-E, and GitHub Copilot.

⇨ The rapid adoption of Generative AI across industries is driven by advancements in deep learning and computing power, making it an essential tool for businesses to enhance creativity, optimize workflows, and drive innovation.

This serves as an introduction into the foundations of Generative AI and Large Language Models such as ChatGPT.

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This serves as an introduction into the foundations of Generative AI and Large Language Models such as ChatGPT.

Every business article and investment discussion seems to have either a direct reference or indirect reference to Artificial Intelligence. Several platforms track how often companies mention the
phrase “Artificial Intelligence” during their company earnings conference calls. But how does AI generally apply to the SAP community and how can we use it to increase the efficiency and efficacy
of our SAP solutions to our stakeholders? We will discuss some of this in this four-part series put together primarily by one of our Practice Managers, Keith Johnson. Part 1 will be an overview of AI, Part 2 will discuss some of the most relevant components of AI and high-level business cases, Part 3 will discuss considerations when looking at an AI project, and we will conclude with Part 4,
where we will showcase several business cases we have worked with clients to deploy within their SAP ecosystem. – Warren Norris, Managing Partner

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