Caroline Yap, Managing Director of Global AI Business & Applied Engineering at Google, and Ayon Banerjee, Chief Strategy and Growth Officer at Persistent Systems, discuss the shift from digital transformation to business transformation in the context of AI, driven by Generative (GenAI). They dive into the importance of the right data in moving AI from experimentation to enterprise-wide implementation to deliver real business value.
At Google Cloud Next ’24, the focus shifts to taking AI out of the purview of data scientists running machine-learning models, to a wider user base that allows for a broad-spectrum application and directly contributes to delivering business objectives such as higher revenue or better customer experience. The shift is top-down, coming from C-suite executives who want to ensure AI deployments do not just solve a piece of the problem but autonomously manage the end-to-end workflow. A case in point is the progression from chatbots to virtual agents that are contextualized and situationally aware to answer queries – all conversationally.
GenAI models must be trained on the right data sets to deliver on business-specific use cases effectively. Access to the right data is the key challenge here. Persistent, with its long-standing data practice, can help enterprises generate synthetic data from structured or unstructured datasets to bridge the gap. With a decade-long partnership with Google, Persistent is helping clients maximize the value of their AI investments, taking GenAI deployments from concepts to real-world, scalable implementation.
Speakers –
Caroline Yap, Managing Director of Global AI Business & Applied Engineering at Google
Ayon Banerjee, Chief Strategy and Growth Officer at Persistent Systems
John Furrier, Industry Analyst, theCUBE
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