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Composable CDPs in Financial Services: Empowering Marketing

Snowflake

Proof points: Financial services companies driving results with a composable CDP Chime Who they are: Chime is a financial technology company founded on the premise that basic banking services should be helpful, easy and free.

Banking 97
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How to get started with dbt

Christophe Blefari

In terms of paradigms before 2012 we were doing ETL because storage was expensive, so it became a requirement to transform data before the data storage—mainly a data warehouse, to have the most optimised data for querying. There are multiple technological reasons for this, but technology is rarely the real reason.

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Introduction to Convolutional Neural Networks Architecture

ProjectPro

Types of Convolutional Neural Networks It wasn’t until 2012, when AlexNet was released, that CNN came into the limelight for computer vision tasks for the first time, and it hasn’t left since then. It was the winning architecture of ImageNet Challenge 2012.

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Snowflake’s Fully Managed Service: Beyond Serverless

Snowflake

Snowflake has embraced serverless since our founding in 2012, with customers providing their code to load, manage and query data and us taking care of the rest. Lastly, companies have historically collaborated using inefficient and legacy technologies requiring file retrieval from FTP servers, API scraping and complex data pipelines.

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Evolution of Data Science: From SAS to LLMs

ProjectPro

Python gained momentum as a data science platform after 2012." As the industry shifts towards enterprise-friendly deployment methods like LLMOps , being proficient in these new technologies becomes increasingly valuable for data scientists.

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InferESG: Augmenting ESG Analysis with Generative AI by David Rees

Scott Logic

A study by Nordea Equity Research reports that between 2012 and 2015, organisations with high ESG ratings outperform the lowest rated organisations by as much as 40%. By combining human expertise with advanced AI capabilities, were demonstrating how technology can enhance rather than replace human judgement in complex analytical tasks.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

The Dawn of Telco Big Data: 2007-2012. Advanced predictive analytics technologies were scaling up, and streaming analytics was allowing on-the-fly or data-in-motion analysis that created more options for the data architect. The Explosion in Telco Big Data: 2012-2017. Let’s examine how we got here.