Data Engineering Off-The-Shelf Performance 
CIO
SEPTEMBER 12, 2022
The chief information and digital officer for the transportation agency moved the stack in his data centers to a best-of-breed multicloud platform approach and has been on a mission to squeeze as much data out of that platform as possible to create the best possible business outcomes. Data engine on wheels’. NJ Transit.
CIO
NOVEMBER 27, 2024
Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.
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O'Reilly Media - Data
MARCH 22, 2018
Data Scientist Cathy O’Neil has recently written an entire book filled with examples of poor interpretability as a dire warning of the potential social carnage from misunderstood models—e.g., There is also a trade off in balancing a model’s interpretability and its performance.
Altexsoft
OCTOBER 3, 2019
performing and high?potential Creating and maintaining the great environment comes along with the understanding who the high performers are and how to keep them inspired, as well as who is lagging and why. Mark Huselid and Dana Minbaeva in Big Data and HRM call these measures the understanding of the workforce quality.
AWS Machine Learning - AI
MARCH 18, 2025
However, off-the-shelf LLMs cant be used without some modification. Embedding is usually performed by a machine learning (ML) model. RAG is a framework for building generative AI applications that can make use of enterprise data sources and vector databases to overcome knowledge limitations. We use Anthropics Claude 3.5
Cloudera
SEPTEMBER 21, 2021
Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. Airflow users can avoid writing custom code to connect to a new system, but simply use the off-the-shelf providers. Step 0: Skip if you already have Airflow.
CIO
JULY 14, 2023
In the shaper model, you’re leveraging existing foundational models, off the shelf, but retraining them with your own data.” A general LLM won’t be calibrated for that, but you can recalibrate it—a process known as fine-tuning—to your own data. Every company will be doing that,” he adds. “In
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