Analytics Vidhya

OCTOBER 15, 2024

Among the AI-driven innovations, generative AI (GenAI) is particularly revolutionizing how marketing teams create content, optimize activities, and deliver campaigns. Introduction The marketing landscape has undergone a massive transformation with the rise of artificial intelligence (AI).

Marketing

AWS Big Data

MARCH 10, 2025

Although traditional scaling primarily responds to query queue times, the new AI-driven scaling and optimization feature offers a more sophisticated approach by considering multiple factors including query complexity and data volume. Consider using AI-driven scaling and optimization if your current workload requires 32 to 512 base RPUs.

Optimization

CIO Business Intelligence

JANUARY 7, 2025

The good news is all major cloud providers frameworks do the same thing: Operational excellence Security Cost optimization Reliability Performance efficiency Sustainability The framework helps in implementing the financial controls (FinOps) that we will discuss separately, management of workloads (BaseOps) and security controls (SecOps).

Optimization

Analytics Vidhya

NOVEMBER 21, 2024

It plays a crucial role in improving data interpretability, optimizing algorithm efficiency, and preparing datasets for tasks like classification and clustering. Discretization is a fundamental preprocessing technique in data analysis and machine learning, bridging the gap between continuous data and methods designed for discrete inputs.

Machine Learning

Analytics Vidhya

OCTOBER 18, 2024

The rise of generative AI (GenAI) is transforming the way digital marketers approach search engine optimization (SEO). GenAI-driven tools are helping businesses improve search rankings and drive organic traffic more efficiently than ever.

Optimization

DataKitchen

JULY 22, 2025

The benefits traditionally achieved through staged processing—data quality, transformation logic, and performance optimization—are now accomplished through functional composition and comprehensive testing. Through years of experience, we realized those layers often represented arbitrary complexity rather than meaningful business value.

Data Architecture

AWS Big Data

OCTOBER 14, 2024

One of the key features of Amazon EMR on EC2 is managed scaling, which dynamically adjusts computing capacity in response to application demands, providing optimal performance and cost-efficiency. He enjoys helping customers around the world to troubleshoot and optimize their data platforms. Starting with the Amazon EMR 7.2

Cost-Benefit

AWS Big Data

JANUARY 9, 2025

Iceberg offers distinct advantages through its metadata layer over Parquet, such as improved data management, performance optimization, and integration with various query engines. Having chosen Amazon S3 as our storage layer, a key decision is whether to access Parquet files directly or use an open table format like Iceberg.

Metadata

DataKitchen

JUNE 18, 2025

Each domain team optimizes its data products independently. When data ownership becomes distributed across multiple product teams, timing coordination becomes everyone’s responsibility, which often means it becomes no one’s responsibility.

Data Quality

Analytics Vidhya

JANUARY 13, 2025

Well also explore key features, including its optimized performance […] The post How to Access Phi-4 Using Hugging Face? In this article, well walk you through the steps to access and use Phi-4, from creating a Hugging Face account to generating outputs with the model. appeared first on Analytics Vidhya.

Optimization

KDnuggets

JUNE 20, 2025

Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.

Machine Learning

CIO Business Intelligence

OCTOBER 30, 2024

As businesses increasingly rely on digital platforms to interact with customers, the need for advanced tools to understand and optimize these experiences has never been greater. While Felix AI already enables businesses to process data at scale and act on insights faster, the potential for further automation and optimization is vast.

Analytics

CIO Business Intelligence

DECEMBER 10, 2024

To integrate AI into enterprise workflows, we must first do the foundation work to get our clients data estate optimized, structured, and migrated to the cloud. Once the data foundation is in place, it is important to then select and embed the best combination of AI models into the workflow to optimize for cost, latency, and accuracy.

Modeling

AWS Big Data

JULY 25, 2025

By using Amazon S3 Tables and its built-in optimizations, you can maximize query performance and minimize costs without additional infrastructure setup. We demonstrated how to optimize the data storage into Iceberg format with S3 Tables , and transform the streaming data before it lands on the storage layer using Data Firehose.

IoT

KDnuggets

JULY 16, 2025

More On This Topic Introduction to Streaming-LLM: LLMs for Infinite-Length Inputs How to Handle Large Text Inputs with Longformer and Hugging Face… Data Science Lifecycle Process Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle Using RAPIDS cuDF to Leverage GPU in Feature Engineering A Practical Approach To Feature Engineering (..)

Modeling

KDnuggets

JULY 16, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Next post => Latest Posts The Lifecycle of Feature Engineering: From Raw Data to Model-Ready Inputs 10 Python Math & Statistical Analysis One-Liners 10 GitHub Repositories for Python Projects Building End-to-End Data Pipelines: From Data Ingestion to Analysis (..)

Statistics

CIO Business Intelligence

OCTOBER 24, 2024

Businesses will need to invest in hardware and infrastructure that are optimized for AI and this may incur significant costs. Contextualizing patterns and identifying potential threats can minimize alert fatigue and optimize the use of resources. Moreover, AI can reduce false positives more effectively than rule-based security systems.

Risk

DataFloq

JULY 25, 2025

is an experiment tracking, optimization, and visualization suite in one tool. Metaflow It is optimal for Workflow management with total ease. It provides the ability to compare model performance, track data lineage, and visualize project real-time progress during training.

Machine Learning

AWS Big Data

NOVEMBER 27, 2024

Therefore, cost optimization levers are important to achieve a favorable balance of cost vs. benefit. Credits to: Vesa Pehkonen, Noah Staveley, Assane Diop, Naveen Tatikonda About the Authors Mulugeta Mammo is a Senior Software Engineer, and currently leads the OpenSearch Optimization team at Intel.

Cost-Benefit

AWS Big Data

NOVEMBER 7, 2024

With Amazon Q, you can spend less time worrying about the nuances of SQL syntax and optimizations, allowing you to concentrate your efforts on extracting invaluable business insights from your data. Refer to Easy analytics and cost-optimization with Amazon Redshift Serverless to get started. For this post, we use Redshift Serverless.

Metadata

AWS Big Data

OCTOBER 30, 2024

We show how to build data pipelines using AWS Glue jobs, optimize them for both cost and performance, and implement schema evolution to automate manual tasks. If you want to optimize costs, you should have a moderate CdcMaxBatchInterval (minutes) and a large CdcMinFileSize value (100–500 MB).

Data Lake

DataKitchen

DECEMBER 9, 2024

The collaboration of these systems established a comprehensive digital ecosystem for the companys commercial operations, ensuring every aspect of the marketing and sales journey was data-informed and optimized. The following diagram shows the relationships between the key systems.

Data Quality

AWS Big Data

DECEMBER 17, 2024

First query response times for dashboard queries have significantly improved by optimizing code execution and reducing compilation overhead. We have enhanced autonomics algorithms to generate and implement smarter and quicker optimal data layout recommendations for distribution and sort keys, further optimizing performance.

Data Lake

CIO Business Intelligence

DECEMBER 18, 2024

Trading: GenAI optimizes quant finance, helps refine trading strategies, executes trades more effectively, and revolutionizes capital markets forecasting. Financial institutions have an unprecedented opportunity to leverage AI/GenAI to expand services, drive massive productivity gains, mitigate risks, and reduce costs.

Forecasting

CIO Business Intelligence

DECEMBER 19, 2024

It empowers businesses to make informed decisions, optimize operations, and drive innovation. Enhanced sales performance: The platform has enabled Sparex to identify sales trends, optimize inventory levels, and improve customer satisfaction. Data, when harnessed effectively, is the lifeblood of modern organizations.

Sales

CIO Business Intelligence

NOVEMBER 27, 2024

As a result, ​developers — regardless of their expertise in machine learning — will be able to develop and optimize business-ready large language models (LLMs). The Verta Operational AI platform supports production AI-ML workloads in the most complex IT environments.

Data Architecture

KDnuggets

JUNE 10, 2025

Think of DuckDB as a lightweight, analytics-optimized version of SQLite, bringing the simplicity of local databases together with the power of modern data warehousing. This design optimizes CPU cache usage and significantly accelerates analytical query performance. And this leads us to the following natural question.

OLAP

CIO Business Intelligence

NOVEMBER 4, 2024

Companies are seeking ways to enhance reporting, meet regulatory requirements, and optimize IT operations. This highlights the need to justify costs, identify infrastructure options that offer optimal total cost of ownership (TCO), and strategically plan AI investments for sustained value.

Marketing

KDnuggets

JULY 15, 2025

To put it simply, it is a system that collects data from various sources, transforms, enriches, and optimizes it, and then delivers it to one or more target destinations. BigQuery, Snowflake, S3 + Athena) Design schemas that optimize for reporting use cases Plan for data lifecycle management, including archiving and purging 5.

Data Science

KDnuggets

JULY 11, 2025

Traditional machine learning systems excel at classification, prediction, and optimization—they analyze existing data to make decisions about new inputs. Instead of optimizing for accuracy metrics, you evaluate creativity, coherence, and usefulness. This difference shapes everything about how you work with these systems.

Machine Learning