Remove 2002 Remove Optimization Remove Risk
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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

This increases the risks that can arise during the implementation or management process. The risks of cloud computing have become a reality for every organization, be it small or large. The next part of our cloud computing risks list involves costs. These tools also help optimize the cloud for cost, governance, and security.

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Top 10 governance, risk, and compliance certifications

CIO Business Intelligence

GRC certifications validate the skills, knowledge, and abilities IT professionals have to manage governance, risk, and compliance (GRC) in the enterprise. Enter the need for competent governance, risk and compliance (GRC) professionals. What are GRC certifications? Why are GRC certifications important?

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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Starting today, the Athena SQL engine uses a cost-based optimizer (CBO), a new feature that uses table and column statistics stored in the AWS Glue Data Catalog as part of the table’s metadata. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

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Former Amazon exec John Rossman on delivering big bets

CIO Business Intelligence

He was an early Amazon executive himself, with key responsibilities in launching the Amazon Marketplace business in 2002. You focus on strategy and execution, innovation and optimization. There are moments to bet big, but it’s after you’ve de-risked all the really hard problems of a big bet. Then you’re ready to scale.

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IT leaders weigh up AI’s role to improve data management

CIO Business Intelligence

Macario’s team then started a PoC by randomly taking a thousand medical records from 2002 to 2018 from the trauma hospital in Kabul. There are also established, or traditional, AI techniques that carry less risk such as optimization, simulation, and knowledge graphs that can be effective without gen AI.

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Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving

Domino Data Lab

Rules-based fraud detection (top) vs. classification decision tree-based detection (bottom): The risk scoring in the former model is calculated using policy-based, manually crafted rules and their corresponding weights. First, we define a function that will perform a grid search for the optimal hyperparameters of the classifier.

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Unintentional data

The Unofficial Google Data Science Blog

We need to know whether the decision we are optimizing is significant enough to justify the time and experiment resources spent optimizing it. Of course, exploratory analysis of big unintentional data puts us squarely at risk for these types of mistakes. Be skeptical, intellectually honest. Consistency. 109:2211–2213. [3]