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Ocrolus lands $80M at a $500M+ valuation to automate document processing for fintechs and banks

TechCrunch

If you’ve ever had to take out a loan, you know just how many documents are involved in the approval process. Ocrolus is a startup that is hoping to change that with an automation platform that it says analyzes financial documents with over 99% accuracy. It’s a lot. We wanted to create a new way of doing this.

Fintech 243
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Select Star raises seed to automatically document datasets for data scientists

TechCrunch

, and millions and perhaps billions of calls flung at the database server, data science teams can no longer just ask for all the data and start working with it immediately. Big data has led to the rise of data warehouses and data lakes (and apparently data lake houses ), infrastructure to make accessing data more robust and easy.

Data 271
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It's time to establish big data standards

O'Reilly Media - Data

The deployment of big data tools is being held back by the lack of standards in a number of growth areas. Technologies for streaming, storing, and querying big data have matured to the point where the computer industry can usefully establish standards. The main standard with some applicability to big data is ANSI SQL.

Big Data 181
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Marsh McLennan IT reorg lays foundation for gen AI

CIO

Several co-location centers host the remainder of the firm’s workloads, and Marsh McLennans big data centers will go away once all the workloads are moved, Beswick says. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

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A Brief Introduction to Big Data Applications and Hadoop

UruIT

Big data refers to the set of techniques used to store and/or process large amounts of data. . Usually, big data applications are one of two types: data at rest and data in motion. For this article, we’ll focus mainly on data at rest applications and on the Hadoop ecosystem specifically.

Big Data 120
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Marsh McLellan IT reorg lays foundation for gen AI

CIO

Several co-location centers host the remainder of the firm’s workloads, and Marsh McLellan’s big data centers will go away once all the workloads are moved, Beswick says. Simultaneously, major decisions were made to unify the company’s data and analytics platform.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise. latest USER root RUN dnf install python3.11