Remove 2001 Remove Risk Remove Testing
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12 AI predictions for 2025

CIO Business Intelligence

The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology. That means companies can use it on tough code problems, or large-scale project planning where risks have to be compared against each other.

Software 141
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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

In our testing, the dataset was stored in Amazon S3 in non-compressed Parquet format and the AWS Glue Data Catalog was used to store metadata for databases and tables. Testing on the TPC-DS benchmark showed an 11% improvement in overall query performance when using CBO compared to without it.

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Enhancing triparty repo transactions with IBM MQ for efficiency, security and scalability

IBM Big Data Hub

This reduces the risk of errors and miscommunications, which can lead to significant losses in the financial industry. This will help identify issues early, reducing the risk of disruptions to the system. Test and validate messages regularly to ensure that they are formatted correctly and that the information is accurate.

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Top 15 project management certifications

CIO Business Intelligence

The exam covers topics including Scrum, Kanban, Lean, extreme programming (XP), and test-driven development (TDD). The certification focuses on managing, budgeting, and determining scope for multiple projects, multiple project teams, and assessing and mitigating interdependent risks to deliver projects successfully. Price: $280.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

The problem with this approach is that in highly imbalanced sets it can easily lead to a situation where most of the data has to be discarded, and it has been firmly established that when it comes to machine learning data should not be easily thrown out (Banko and Brill, 2001; Halevy et al., Their tests are performed using C4.5-generated

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What Executives Should Know About Shift-Left Security

CIO Business Intelligence

“Shift-left security” is the concept that security measures, focus areas, and implications should occur further to the left—or earlier—in the lifecycle than the typical phases that used to be entry points for security testing and protections. Shift-left security spawned from a broader area of focus known as shift-left testing.

Testing 52
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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

” “Data science” was first used as an independent discipline in 2001. Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app. Both data science and machine learning are used by data engineers and in almost every industry.