A look at the ‘data plumbing’ that powers AI and companies like Grab, Coins.ph, and Maya

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Artificial Intelligence News

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Databricks vice president Cecily Ng says the Philippines is an 'especially exciting market' for artificial intelligence

This is AI generated summarization, which may have errors. For context, always refer to the full article.Databricks vice president Cecily Ng says the Philippines is an 'especially exciting market' for artificial intelligenceIt’s what has propelled disruptive companies like Netflix and– which sometimes seem to know our interests better than ourselves – to success. But data is also incredibly messy and complicated, especially if you don’t have a way to structure it.

For instance, Cecily Ng, vice president and general manager for Databrick’s ASEAN operations, said that some banks have developed an “internal knowledge management chatbot” that lets a generative AI model read and index the trove of documents that a financial institution might have – and then simply let bank personnel ask it questions in natural language.A ‘unified data platform’

In many ways, this serves as the foundation or the “plumbing” for the company’s data needs, allowing various teams to all access data for different use cases. For instance, a company’s business analyst might pull data for graphs showing new customer trends, whereas a data scientist might use it to build models for fraud detection or forecasting.

For instance, Ng said Singaporean super-app Grab, which offers ride-hailing, food delivery, and other services on its platform, uses the data to build data science models for hyper-personalization.

 

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