Can Generative AI be scalable and mobile?

In the wake of the buzz generated by the emergence of generative AI tools like ChatGPT, Jasper, Bard, and many others, CEOs and company leads find themselves pondering a crucial question: Is this technology merely hype, or does it present a transformative opportunity?

In today's rapidly evolving technological landscape (Generative AI being the fastest growing App ever), the capabilities of Artificial Intelligence (AI) continue to expand, with Generative AI emerging as a promising frontier. This cutting-edge technology has demonstrated its ability in generating content, images, and on a larger scale, influencing how sectors operate.

Defining Scalability in the context of Generative AI

Scalability is a fundamental requirement for any technology aiming to make a significant impact across various sectors. In the context of Generative AI, scalability refers to the ability to handle increasingly complex tasks, datasets, and user demands without compromising performance or efficiency. Achieving scalability entails overcoming computational bottlenecks, optimizing algorithms, and leveraging distributed computing resources.

Fortunately, recent advancements in hardware acceleration, cloud computing, and parallel processing have paved the way for scalable Generative AI solutions.

Generative AI: Moving from Pilot to Production

When moving a Generative AI solution from pilot to production, the issue of scalability becomes pivotal. Organizations must confront difficult inquiries regarding the necessary scale and ensure that employees are adept at utilizing Generative AI to its fullest potential.

A November 2023 report by EY focuses on starting with “small-scale pilot projects using proprietary enterprise data to test Generative AI solutions and gather feedback” as a means of mitigating employee resistance, rather than seeking to scale up early in the process. The report advises using these results to demonstrate how AI solutions can “enhance existing processes, improve employee efficiency and augment capabilities.”

In addition to guaranteeing the scalability of a solution across numerous users or functions, mobility often takes precedence for organizations in search of agile technologies, especially when dealing with multiple locations or team members.

Report: ‘Moving Generative AI into Production’

Check out Generative AI Summit report ‘Moving Generative AI into Production’ to better understand how to Generative AI can become more scalable and mobile. Quotes included from key speakers at the Generative AI Summit, including Divita Vohra, senior product manager at Spotify.

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