Thu.Dec 12, 2024

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Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tools

Seattle Data Guy

Document Intelligence Studio is a data extraction tool that can pull unstructured data from diverse documents, including invoices, contracts, bank statements, pay stubs, and health insurance cards. The cloud-based tool from Microsoft Azure comes with several prebuilt models designed to extract data from popular document types. However, you can also use labeled datasets to train… Read more The post Alternatives to Azure Document Intelligence Studio: Exploring Powerful Document Analysis Tool

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Making AI More Accessible: Up to 80% Cost Savings with Meta Llama 3.3 on Databricks

databricks

As enterprises build agent systems to deliver high quality AI apps, we continue to deliver optimizations to deliver best overall cost-efficiency for our.

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Mainframe Data Meets AI: Reducing Bias and Enhancing Predictive Power

Precisely

Key Takeaways : The significance of using legacy systems like mainframes in modern AI. How mainframe data helps reduce bias in AI models. The challenges and solutions involved in integrating legacy data with modern AI systems. The potential benefits of these integrations. In todays rapidly evolving technological landscape, businesses across industries are constantly looking for ways to harness the power of artificial intelligence (AI) to drive better decision-making, enhance customer experiences

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Building Industry-leading AI Models for Universal Speech Intelligence

databricks

We just followed the documentation online, and within a few hours, we were operational and started running a job. We never had any.

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Apache Airflow® Best Practices for ETL and ELT Pipelines

Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

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3 Steps to AI-Ready Data

Monte Carlo

If it seems like literally everyone and their CEO wants to build GenAI products, youre absolutely right. In our latest survey on the state of data reliability, nearly 100% of data leaders said they feel pressure from their own leadership to implement a GenAI strategy or deliver GenAI products. But data leaders understand something thats often lost on most C-Suites: GenAI products are only as valuable as the first-party data that powers it and that data is only as valuable as it is reliable.

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Preparing for the Holiday Season with More Personalized Marketing Content

databricks

In this first part of a two-part blog series, we demonstrate how generative AI coupled with customer data can help marketing teams generate.

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The Power of Data Streaming in Digital-Native Organizations: A Look Inside AppDirect

Confluent

See how digital-native company AppDirect uses a data streaming platform to fuel its cloud service commerce platform and build game-changing generative AI features.

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Revisiting Compute Scaling

Yelp Engineering

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This Year in Crypto: 2024

Robinhood

2024 was an important year for Robinhood Cryptoand for the entire crypto industry. As we celebrate the first anniversary of the launch of Robinhood Crypto in Europe , lets take a look back at the milestones weve achieved together. From launching new features to expanding into new markets, 2024 was all about helping more people start their crypto journey and do more with crypto.

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How to build a mixed reality headset

Engineering at Meta

How do you take a mixed reality (MR) headset from idea to finished product? Alfred Jones, VP of hardware engineering at Meta Reality Labs, joins Pascal Hartig ( @passy ) on the latest episode of the Meta Tech Podcast for a discussion on the realities (no pun intended) of building MR hardware. Jones shares his strategy for avoiding choice paralysis. With so many options out there, how do you choose the right display technology, battery, and thermal budget (and do so at the right price point)?

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Apache Airflow®: The Ultimate Guide to DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!