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The Race For Data Quality in a Medallion Architecture

DataKitchen

By storing data in its native state in cloud storage solutions such as AWS S3, Google Cloud Storage, or Azure ADLS, the Bronze layer preserves the full fidelity of the data. This foundational layer is a repository for various data types, from transaction logs and sensor data to social media feeds and system logs.

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CIOs contend with gen AI growing pains

CIO Business Intelligence

Unfortunately, despite hard-earned lessons around what works and what doesn’t, pressure-tested reference architectures for gen AI — what IT executives want most — remain few and far between, she said. I think driving down the data, we can come up with some kind of solution.”

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Introducing simplified interaction with the Airflow REST API in Amazon MWAA

AWS Big Data

response = client.create( key="test", value="Test value", description="Test description" ) print(response) print("nListing all variables.") variables = client.list() print(variables) print("nGetting the test variable.") Creating a test variable. Creating a test variable. Creating a test variable.

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How IT leaders use agentic AI for business workflows

CIO Business Intelligence

Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value. Im really keen to see how agentic AI is suited for driving sales conversions by enabling sales teams to strategically target clients offering the highest potential returns, adds Rebecca Fox, group CIO at NCC Group, a large cybersecurity consulting firm.

IT 139
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.

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Digital transformation 2025: What’s in, what’s out

CIO Business Intelligence

The one that drives the greatest call to action from your board, executives, and employees because maintaining the status quo is a sure path to disruption. CIOs must also drive knowledge management, training, and change management programs to help employees adapt to AI-enabled workflows. AI transformation is the term for them.

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5 things on our data and AI radar for 2021

O'Reilly on Data

The data that powers ML applications is as important as code, making version control difficult; outputs are probabilistic rather than deterministic, making testing difficult; training a model is processor intensive and time consuming, making rapid build/deploy cycles difficult. The Time Is Now to Adopt Responsible Machine Learning.

Data Lake 362
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.