O'Reilly on Data

MARCH 25, 2025

Weve seen this across dozens of companies, and the teams that break out of this trap all adopt some version of Evaluation-Driven Development (EDD), where testing, monitoring, and evaluation drive every decision from the start. Two big things: They bring the messiness of the real world into your system through unstructured data.

Testing

CIO Business Intelligence

DECEMBER 19, 2024

So far, no agreement exists on how pricing models will ultimately shake out, but CIOs need to be aware that certain pricing models will be better suited to their specific use cases. Lots of pricing models to consider The per-conversation model is just one of several pricing ideas.

Cost-Benefit

DataFloq

JUNE 10, 2025

New trends and transformations are emerging in the industry of data analysis, and there is emerging expertise that goes hand in hand with these changes. Moving forward into the year 2025, a data analyst is expected to have a combination of a deep understanding of relevant concepts, strong reasoning, and great interpersonal skills.

Statistics

CIO Business Intelligence

JUNE 2, 2025

Data governance has evolved from a compliance necessity to a strategic pillar for AI-driven enterprises. With data volumes exploding across cloud, edge and hybrid environments, traditional governance models, built around static policies and periodic audits, are increasingly ineffective. Dynamic policy engines.

Data-driven

KDnuggets

JUNE 17, 2025

By Jayita Gulati on June 17, 2025 in Language Models Image by Author | Ideogram Information is everywhere today, but attention is scarce, and so mastering how we learn has become more important than ever. Overview of the Workflow To make the most of modern AI tools, we will combine deep research with interactive note-taking.

Machine Learning

DataFloq

JULY 1, 2025

The result is a well-established and interconnected health data framework that serves as the backbone for innovative solutions in healthcare. However, most of this data is complex and longitudinal. However, they fail when representing the dynamic relationships inherent to healthcare data.

Modeling

DataKitchen

AUGUST 11, 2025

Data quality test coverage has become one of the most critical challenges facing modern data engineering teams, particularly as organizations adopt the increasingly popular Medallion data architecture. The Bronze layer serves as the initial landing zone for all incoming raw data, capturing it in its unprocessed, original form.

Data Quality

CIO Business Intelligence

OCTOBER 24, 2024

Noting that companies pursued bold experiments in 2024 driven by generative AI and other emerging technologies, the research and advisory firm predicts a pivot to realizing value. Forrester predicts a reset is looming despite the enthusiasm for AI-driven transformations.

ROI

CIO Business Intelligence

JANUARY 7, 2025

Organizations will always be transforming , whether driven by growth opportunities, a pandemic forcing remote work, a recession prioritizing automation efficiencies, and now how agentic AI is transforming the future of work.

Digital Transformation

David Menninger's Analyst Perspectives

MAY 21, 2025

Early tools applied rudimentary machine learning (ML) models to customer relationship management (CRM) exports, assigning win probability scores or advising on the ideal time to call. The root cause of the problem came down to data quality. Unfortunately, relying on the manual entry of this type of data is a fool's errand.

Sales

DataFloq

JULY 8, 2025

As organizations race to adopt generative AI tools-from AI writing assistants to autonomous coding platforms-one often-overlooked variable makes the difference between game-changing innovation and disastrous missteps: data quality. It consumes data, learns from it, and produces outcomes that reflect the quality of what it was trained on.

Data Quality

KDnuggets

AUGUST 8, 2025

By Vinod Chugani on August 8, 2025 in Data Science Image by Author | ChatGPT # Introduction Feature engineering gets called the art of data science for good reason — experienced data scientists develop this intuition for spotting meaningful features, but that knowledge is tough to share across teams.

Data Science

O'Reilly on Data

JUNE 5, 2025

get list of records, update record field, export data, etc.). Use MCP SDK/template to scaffold the server: The Model Context Protocol project provides SDKs in multiple languages: TypeScript, Python, Java, Kotlin, and C# ( GitHub ). This is the response formatting partoften youll turn raw data into a summary or a concise format.

IT

AWS Big Data

NOVEMBER 22, 2024

At AWS, we are committed to empowering organizations with tools that streamline data analytics and transformation processes. This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience.

Data Lake

CIO Business Intelligence

MARCH 25, 2025

These areas are considerable issues, but what about data, security, culture, and addressing areas where past shortcuts are fast becoming todays liabilities? Types of data debt include dark data, duplicate records, and data that hasnt been integrated with master data sources.

Risk

DataKitchen

JUNE 6, 2025

Data Quality Testing: A Shared Resource for Modern Data Teams In today’s AI-driven landscape, where data is king, every role in the modern data and analytics ecosystem shares one fundamental responsibility: ensuring that incorrect data never reaches business customers. That must change.

Data Quality

KDnuggets

JUNE 13, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter AI Agents in Analytics Workflows: Too Early or Already Behind?

Analytics

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.

Unstructured Data

CIO Business Intelligence

APRIL 24, 2025

Enterprises worldwide are harboring massive amounts of data. Although data has always accumulated naturally, the result of ever-growing consumer and business activity, data growth is expanding exponentially, opening opportunities for organizations to monetize unprecedented amounts of information.

Data-driven

AWS Big Data

MARCH 13, 2025

At AWS re:Invent 2024, we announced the next generation of Amazon SageMaker , the center for all your data, analytics, and AI. It enables teams to securely find, prepare, and collaborate on data assets and build analytics and AI applications through a single experience, accelerating the path from data to value.

Analytics

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. Industry-leading price-performance Amazon Redshift offers up to three times better price-performance than alternative cloud data warehouses.

Data Lake

DataFloq

JULY 25, 2025

Legacy AML systems rely on static rules and siloed data, which often result in excessive false positives and slow investigations. Their guidance promotes the use of machine learning, data aggregation, and real time analytics to enhance detection and reduce system abuse.

Analytics

CIO Business Intelligence

DECEMBER 20, 2024

Data protection in the AI era Recently, I attended the annual member conference of the ACSC , a non-profit organization focused on improving cybersecurity defense for enterprises, universities, government agencies, and other organizations. The latter issue, data protection, touches every company.

Risk

AWS Big Data

JULY 7, 2025

In this post, we show you how Stifel implemented a modern data platform using AWS services and open data standards, building an event-driven architecture for domain data products while centralizing the metadata to facilitate discovery and sharing of data products.

Data-driven

AWS Big Data

NOVEMBER 7, 2024

Amazon Redshift is a fully managed, AI-powered cloud data warehouse that delivers the best price-performance for your analytics workloads at any scale. It provides a conversational interface where users can submit queries in natural language within the scope of their current data permissions. Your data is not shared across accounts.

Metadata

CIO Business Intelligence

DECEMBER 10, 2024

Still, CIOs have reason to drive AI capabilities and employee adoption, as only 16% of companies are reinvention ready with fully modernized data foundations and end-to-end platform integration to support automation across most business processes, according to Accenture. These reinvention-ready organizations have 2.5

Sales

AWS Big Data

JANUARY 9, 2025

In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg. Data management is the foundation of quantitative research.

Metadata

Smart Data Collective

JULY 16, 2025

Reading: Turning Data Into Decisions: How Analytics Improves Transportation Strategy Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective. Andrej Kovacevic 3 Min Read Licensed Photo from Microsoft Stock Images SHARE Transportation networks generate a constant stream of data.

Strategy

AWS Big Data

JULY 23, 2025

Although Spark History Server provides detailed telemetry data, including job execution timelines, stage-level metrics, and resource consumption patterns, accessing and interpreting this wealth of information requires deep expertise in Spark internals and navigating through multiple interconnected web interface tabs.

Optimization

CIO Business Intelligence

JANUARY 21, 2025

AI systems can analyze vast amounts of data in real time, identifying potential threats with speed and accuracy. Companies like CrowdStrike have documented that their AI-driven systems can detect threats in under one second. Thats the potential of AI-driven automated incident response.

Behavioral Analytics

CIO Business Intelligence

APRIL 30, 2025

And executives see a high potential in streamlining the sales funnel, real-time data analysis, personalized customer experience, employee onboarding, incident resolution, fraud detection, financial compliance, and supply chain optimization. Another area is democratizing data analysis and reporting.

IT

CIO Business Intelligence

JULY 14, 2025

Indeed’s cloud-native and data-driven digital transformation has set it up ideally for the rapidly advancing AI era, says Anthony Moisant , the company’s CIO and CSO. Overhauling the company’s data architecture was a top priority. First, Indeed moved data lakes from its on-premises environment to AWS.

Data Lake

DataFloq

JUNE 10, 2025

This isn't merely about adopting new technology; it's about re-envisioning how data, algorithms, and AI can fundamentally reshape your enterprise. Pillars of a Value-Driven AI Strategy Experts agree that a successful GenAI strategy is built upon several foundational pillars.

Cost-Benefit

DataFloq

JULY 1, 2025

As we look toward 2025, the landscape of support systems is poised for transformative change, driven by advancements in AI and machine learning. Traditional support , often characterized by human interactions and scripted responses, is increasingly being augmented or even replaced by sophisticated AI knowledge bases.

Interactive

Ontotext

NOVEMBER 22, 2024

However, many biomedical researchers lack the expertise to use these advanced data processing techniques. Instead, they often depend on skilled data scientists and engineers who can create automated systems to interpret complex scientific data.

Knowledge Discovery

CIO Business Intelligence

OCTOBER 16, 2024

As gen AI becomes embedded into more devices, endowing it with autonomous decision-making will depend on real-time data and avoiding excessive cloud costs. By processing data closer to the source, edge computing can enable quicker decisions and reduce costs by minimizing data transfers, making it an alluring environment for AI.

Cost-Benefit