KDnuggets

JULY 16, 2025

Feature Transformation Feature transformation refers to the process of converting raw data features into a format or representation that is more suitable for machine learning algorithms. Approaches include: Filter methods : Use statistical measures (e.g., The goal is to improve the performance, accuracy, or interpretability of a model.

Modeling

CIO Business Intelligence

DECEMBER 30, 2024

The company says it can achieve PhD-level performance in challenging benchmark tests in physics, chemistry, and biology. In these uses case, we have enough reference implementations to point to and say, Theres value to be had here.' If it goes through all of those gates, only then do you let the agent do it autonomously, says Hodjat.

ROI

CIO Business Intelligence

MAY 22, 2025

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Enterprise

AWS Big Data

JUNE 2, 2025

Before you begin an in-place upgrade, we recommend testing your DAGs for compatibility with the target version, because DAG compatibility issues can affect the upgrade process. You can use the Amazon MWAA local runner to test DAG compatibility before you start the upgrade. Test your DAG compatibility.

Metadata

CIO Business Intelligence

APRIL 30, 2025

Wereinfusing AI agents everywhereto reimagine how we work and drive measurable value. Though loosely applied, agentic AI generally refers to granting AI agents more autonomy to optimize tasks and chain together increasingly complex actions. Testing is something weve been spending a lot of time on, says Salesforces White.

IT

AWS Big Data

MARCH 10, 2025

Amazon Redshift Serverless automatically scales compute capacity to match workload demands, measuring this capacity in Redshift Processing Units (RPUs). We encourage you to measure your current price-performance by using sys_query_history to calculate the total elapsed time of your workload and note the start time and end time.

Optimization

DataFloq

JUNE 10, 2025

High-Impact Use Cases Drive Value: Prioritize GenAI applications that offer significant return on investment, focusing on areas like content creation, coding, and customer service automation for immediate and measurable gains. Frequently Asked Questions (FAQ) What is generative AI and how does it benefit businesses?

Cost-Benefit

KDnuggets

JULY 24, 2025

I’ve visualized what I just said in the form of an image so you can get an idea of what I’m referring to. It’s measurable and proven. Its also much faster. Well see that later with an example for performance impact. Now that you have the idea of what it is, let’s see how you can implement it and how it can be useful. #

Machine Learning

AWS Big Data

NOVEMBER 13, 2024

The first use case helps predict test results during the car assembly process. The following criteria were considered to identify these use cases: Use cases that deliver measurable business value for Volkswagen Autoeuropa. For more details, refer to Manage users in the Amazon DataZone console. The team identified two use cases.

Metadata

AWS Big Data

MAY 20, 2025

For instructions, refer to Creating a general purpose bucket. For more information, refer to the Set up query engine for your structured data store in Amazon Bedrock Knowledge Bases. Refer to Prerequisites for creating an Amazon Bedrock Knowledge Base with a structured data store for instructions. Choose Test.

Structured Data

CIO Business Intelligence

JULY 21, 2025

While Sweetwater’s Johnson refers to AI as “a pretty big revolution,” deployment of the technology is not really shifting IT’s roles and responsibilities, he says. “The AI Insights Widget automates this, freeing up valuable sales time and accelerating their efforts.” IT will continue to be tech evangelists, DiBenedetto says.

IT

CIO Business Intelligence

MARCH 11, 2025

LLM benchmarks are the measuring instrument of the AI world. These are standardized tests that have been specifically developed to evaluate the performance of language models. They not only test whether a model works, but also how well it performs its tasks. They define the challenges that a model has to overcome.

Modeling

CIO Business Intelligence

OCTOBER 17, 2024

Deepak Jain, 49, of Potomac, was the CEO of an information technology services company (referred to in the indictment as Company A) that provided data center services to customers, including the SEC,” the US DOJ said in a statement. From 2012 through 2018, the SEC paid Company A approximately $10.7

Broadcasting

CIO Business Intelligence

DECEMBER 20, 2024

Investigating, testing, and assessing them all is impossible, not in the least because an algorithm may iterate harmlessly millions of times, and then suddenly make one crucial mistake, he said. Further, no agencies fully mapped mitigation strategies to risks, because the level of risk was not evaluated.

Risk

AWS Big Data

JANUARY 9, 2025

Note, the encoder parameter refers to a method used to compress vector data before storing it in the index. For detailed parameter specifications, see the PQ parameter reference. To implement binary quantization, define the vector type as knn_vector and specify the encoder name as binary with the desired number of encoding bits.

Optimization

CIO Business Intelligence

MAY 20, 2025

SCM is complex, and S&OP implementation can be difficult, but the SCOR model is intended to help standardize the process and create a measurable way to track results. Once the performance of your supply chain operations has been measured, youll be able to find any inefficiencies or gaps.

Management

CIO Business Intelligence

JULY 11, 2025

Implement outcome-based metrics : Measure architectural success through business outcomes rather than technical compliance. We need a radical shift toward measures that reflect architecture’s role as a strategic business accelerator. This transformation challenges deeply ingrained organizational behaviors and power structures.

Metrics

DataFloq

JULY 21, 2025

The growing scale of this technology produces corresponding effects on fairness standards and security measures and compliance requirements. Metrics for Ethical Performance Enterprises need to establish new measurement criteria which surpass accuracy standards. References 1. Connect with him on LinkedIn. McKinsey & Company.

Enterprise

AWS Big Data

FEBRUARY 21, 2025

OpenSearch ranks results based on a measure of similarity to the search query, returning the most similar results. After youve created the integration, you can refer to the model_id when you set up your ingest and search pipelines. Serverless compute capacity is measured in OpenSearch Compute Units (OCUs).

Dashboards

AWS Big Data

JUNE 19, 2025

IAM provides enhanced security measures, making sure your systems are protected against unauthorized access. IAM provides enhanced security measures, ensuring your systems are protected against unauthorized access. If your connector for MSK Connect needs access to the internet, refer to Enable internet access for Amazon MSK Connect.

Testing

CIO Business Intelligence

APRIL 30, 2025

AI inside refers to AI embedded in the tools and platforms IT already uses think copilots in dev tools, AI-powered observability, or smarter firewalls. How is it being measured (if at all)? AI has to be treated as an untrusted input, so specific AI security tools and tests need to be integrated into workflow and output.

ROI

CIO Business Intelligence

OCTOBER 29, 2024

EA’s look at the entire “estate” with an enterprise-wide view and being inclusive in their approach to solutioning business asks while acknowledging the importance of taking sustainability measures and responsible AI practices into account. Measures progress in reducing outdated or redundant technology systems. Resource utilization.

Enterprise

AWS Big Data

JUNE 30, 2025

The Levenshtein function, also known as the Levenshtein distance or edit distance, is a string metric used to measure the difference between two sequences of characters. For instructions, refer to Create a sample Amazon Redshift cluster. For instructions, refer to Create a workgroup with a namespace. Refer to @lambda-context.py

Cost-Benefit

CIO Business Intelligence

MARCH 26, 2025

The meaning of legacy system modernization can be a bit challenging to pin down because IT leaders often use the term to refer to two fundamentally different processes. What is legacy system modernization? The first is migrating data and workloads off of legacy platforms entirely and rehosting them in new environments, like the public cloud.

Risk

CIO Business Intelligence

NOVEMBER 11, 2024

Kakkar’s litmus test for pursuing a project depends on whether it has a clear purpose, goal, and measurable objectives. Kakkar says that they created complete mapping access for everyone’s reference. “We If all three are in place and there is visibility at the board level, Kakkar says the project will be readily funded.

IoT

CIO Business Intelligence

MAY 14, 2025

Why not actively align, embed and support the art of the possible directly with business units and earn the coveted seat at the table with practical and measurable business success stories connected to the realities of the business itself? This article was made possible by our partnership with the IASA Chief Architect Forum.

Enterprise

CIO Business Intelligence

MAY 19, 2025

In software, agents commonly refer to programs acting on behalf of a user or another computer program. Can it document and explain the decision process and be subject to control testing in regulated use cases? Start with constrained pilots, carefully measure outcomes and expand. Further, in highly regulated environments (e.g.,

Enterprise

CIO Business Intelligence

FEBRUARY 25, 2025

Measurable Business Value with Private AI Private AI can also be a powerful tool for CXOs who are looking to maximize AI investments without getting swept up in the hype. One of the most effective ways to show immediate returns with AI on-premises is through measurable use cases where business impact is clear.

Cost-Benefit

CIO Business Intelligence

JUNE 24, 2025

ERP systems that disproportionately favour finance over broader operations limit a company’s agility, hindering its ability to rapidly automate, test new strategies and evolve. A Key Performance Indicators (KPIs) should measure both financial control and operational agility comprehensively. Second, innovation bottlenecks.

Digital Transformation

CIO Business Intelligence

MARCH 18, 2025

Regulators today are no longer satisfied with frameworks, documentation, and audit validation alone; they want tangible evidence, including end-to-end testing, as well as compliance program management that is baked into day-to-day operating processes. 2025 Banking Regulatory Outlook, Deloitte The stakes are clear.

Risk Management

CIO Business Intelligence

JUNE 30, 2025

You specialize in structured analytical techniques, cognitive bias detection and rigorous hypothesis testing. Your goal is to challenge assumptions, test hypotheses and identify potential blind spots with the objectivity of an external auditor. </objective>

Uncertainty

CIO Business Intelligence

MARCH 31, 2025

Sovereign AI refers to a national or regional effort to develop and control artificial intelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. High-risk AI systems must undergo rigorous testing and certification before deployment.

Risk

O'Reilly on Data

APRIL 15, 2025

Heres a common scene from my consulting work: AI TEAM Heres our agent architectureweve got RAG here, a router there, and were using this new framework for ME [Holding up my hand to pause the enthusiastic tech lead] Can you show me how youre measuring if any of this actually works? Instead, they obsess over measurement and iteration.

Experimentation

AWS Big Data

JULY 22, 2025

To learn more, refer to Amazon EC2 M7g instances. We tested and validated M7g instances for RabbitMQ version 3.13, so you can run your critical messaging workloads on Amazon MQ brokers with improved performance characteristics, while also saving on costs.

Testing

CIO Business Intelligence

MAY 8, 2025

Depending on the stage of development of the AI model, the data used falls into one of three categories: training data, test data and validation data. It falls to us to uphold the highest ethical standards and compliance measures, ensuring all practices that lead to the collection of public data are transparent and beneficial.

Modeling

datapine

JULY 6, 2022

2) How To Measure Productivity? For years, businesses have experimented and narrowed down the most effective measurements for productivity. Your Chance: Want to test a professional KPI tracking software? Use our 14-day free trial and start measuring your productivity today! How To Measure Productivity?

Measurement

Adrian Reed

APRIL 23, 2022

To use a tried and tested cliche “it’s the way we’ve always done things around here”. Sometimes particular metrics are measured and reported upon simply because they are the default metrics that the software/hardware spits out. My best guess is that companies use hold music because it’s the ‘done thing’.

Metrics