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Generate financial industry-specific insights using generative AI and in-context fine-tuning

AWS Machine Learning Blog

In entered the Big Data space in 2013 and continues to explore that area. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies. He is focused on Big Data, Data Lakes, Streaming and batch Analytics services and generative AI technologies.

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Reinventing the data experience: Use generative AI and modern data architecture to unlock insights

AWS Machine Learning Blog

Organizations can maximize the value of their modern data architecture with generative AI solutions while innovating continuously. The natural language capabilities allow non-technical users to query data through conversational English rather than complex SQL.

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Generating value from enterprise data: Best practices for Text2SQL and generative AI

AWS Machine Learning Blog

Generative AI has opened up a lot of potential in the field of AI. One such area that is evolving is using natural language processing (NLP) to unlock new opportunities for accessing data through intuitive SQL queries. What percentage of customers are from each region?”

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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning Blog

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. And although generative AI has appeared in previous events, this year we’re taking it to the next level. And although our track focuses on generative AI, many other tracks have related sessions.

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Why Invest Now? Three Investors Share the Story Behind Alation’s Series E

Alation

In fact, the original founder chemistry caught Sands’ attention back in 2013. “We At Databricks, we’re focused on enabling customers to adopt the data lakehouse, and that’s an open data architecture that combines the best of the data warehouse and the data lake into one platform,” Ferguson says. “[The

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Why We Started the Data Intelligence Project

Alation

Two data-driven careers. In 2013 I joined American Family Insurance as a metadata analyst. To answer these questions we need to look at how data roles within the job market have evolved, and how academic programs have changed to meet new workforce demands. New roles and opportunities in data are multiplying!

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Microsoft Azure HDInsight Azure HDInsight is a fully-managed cloud service that makes it easy to process Big Data using popular open-source frameworks such as Hadoop, Spark, and Kafka. Key Features : Integration with Microsoft Services : Seamlessly integrates with other Azure services like Azure Data Lake Storage.