Ontotext

JANUARY 10, 2025

Introduction In the real world, obtaining high-quality annotated data remains a challenge. Our goal is to test whether GenAI can handle diverse domains effectively and determine if its a viable tool for domain-specific graph-building tasks. At Graphwise, we aim to make knowledge graph construction faster and more cost-effective.

Informatics 59

Informatics Modeling Metadata Experimentation 59

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 111

Data Quality Data Governance Data Lake Testing 111

DataKitchen

OCTOBER 28, 2021

We have the tools to create data analytics workflows that address AI bias. When our work processes for creating and monitoring analytics contain built-in controls against bias, data analytics organizations will no longer be dependent on individual social awareness or heroism. What Is AI Bias? What Is AI Bias?

Testing 130

Testing IT Manufacturing Machine Learning 130

Smart Data Collective

AUGUST 11, 2022

Human labeling and data labeling are however important aspects of the AI function as they help to identify and convert raw data into a more meaningful form for AI and machine learning to learn. Artificial Intelligence, in turn, needs to process data to make conclusions. How Artificial Intelligence is Impacting Data Quality.

Data Quality 139

Data Quality Machine Learning Digital Transformation Big Data 139

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco. Data takes a long journey.

Metrics 211

Metrics ROI Measurement Cost-Benefit 211

Smart Data Collective

OCTOBER 13, 2022

Research and development (R&D) is a critical component for any business, especially in today’s data-dependent competitive world. Companies are using AI technologies to automatically analyze large amounts of data and identify patterns that would not be obvious to a human analyst. Automated Testing of Features.

Testing 128

Testing Cost-Benefit Experimentation Optimization 128

Smart Data Collective

JANUARY 18, 2021

Big data is at the core of any competent marketing strategy. We have talked before about the importance of merging big data with SEO. However, we mostly talked about using data-driven SEO to drive traffic to your money site. Big data SEO strategies can also be very effective with YouTube marketing.

Data Analytics 134

Data Analytics Analytics Data mining Big Data 134

AWS Big Data

OCTOBER 9, 2024

We also discuss a data-driven approach using a hackathon focused on cost optimization along with Apache Spark and Apache HBase configuration optimization. This included web applications, Apache HBase data stores, Apache Solr search clusters, and Apache Hadoop clusters. The migration included over 150 server nodes and 1 PB of data.

Optimization 128

Optimization Testing Data-driven Strategy 128

Smart Data Collective

JANUARY 30, 2023

Data analytics technology has become a very important element of modern marketing. One of the ways that big data is transforming marketing is through SEO. We have previously talked about data-driven SEO. However, we feel that it is time to have a more nuanced discussion about using big data in SEO. What Is Image SEO?

Marketing 115

Marketing Data Analytics Analytics Data-driven 115

CIO Business Intelligence

MAY 23, 2023

Optimize images for the target device Edgio <img src=”…” loading=”lazy” height=”Apx” width=”Bpx” /> Image optimization is the most overlooked technique due to concerns over image quality – especially when converting to formats like WebP. Consider the following: Defer loading high-quality images until the page is fully loaded.

IT 98

IT Testing Optimization Measurement 98

AWS Big Data

APRIL 3, 2024

Today, we are pleased to announce that Amazon DataZone is now able to present data quality information for data assets. Other organizations monitor the quality of their data through third-party solutions. Additionally, Amazon DataZone now offers APIs for importing data quality scores from external systems.

Data Quality 119

Data Quality Visualization Metadata Metrics 119

IBM Big Data Hub

MARCH 25, 2022

To simplify data access and empower users to leverage trusted information, organizations need a better approach that provides better insights and business outcomes faster, without sacrificing data access controls. There are many different approaches, but you’ll want an architecture that can be used regardless of your data estate.

Metadata 104

Metadata Data Quality Data Governance Data Integration 104

Occam's Razor

JULY 18, 2011

The message, the customer data, the ability to reach current and prospective customers, drive new sales as well as repeat sales, experiment with new ideas and offers, and so much more. One of the core challenges with email is that you have to deal with multiple data sources. Your campaign data. Your website data.

Metrics 138

Metrics Marketing Measurement Cost-Benefit 138

CIO Business Intelligence

SEPTEMBER 29, 2023

Upwork analyzed data from its platform, examining the types of projects companies hired freelancers for thus far this year, to identify the most sought-after AI skills on the market. Most relevant roles for making use of NLP include data scientist , machine learning engineer, software engineer, data analyst , and software developer.

Deep Learning 143

Deep Learning Machine Learning Consulting Modeling 143

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Quite simply, metadata is data about data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

CIO Business Intelligence

APRIL 15, 2024

Proceeding with caution While H&R Block’s leadership and board were enticed by the possibilities of gen AI, Lowden notes he had to address some concerns before they fully bought into the project, especially with regard to safety and data privacy. “No The quality of the content is everything.” The third was guardrails.

Testing 102

Testing Machine Learning Data Quality Experimentation 102

IBM Big Data Hub

MARCH 22, 2024

Quality Assurance (QA) is a critical component of the software development lifecycle, aiming to ensure that software products meet specified quality standards before release. However, various challenges arise in the QA domain that affect test case inventory, test case automation and defect volume.

Testing 74

Testing Optimization Software Risk 74

Smart Data Collective

MARCH 23, 2022

Evan Morris of Towards Data Science discussed this in one of his recent articles. Morris points out that AI helps with automated testing. Companies can use AI technology to test hidden elements of their websites and can see how they perform under various browsers. AI technology has made it easier to conform to ADA standards.

Cost-Benefit 128

Cost-Benefit Data mining Sales Testing 128

CIO Business Intelligence

APRIL 27, 2022

As a technology company you can imagine how easy it is to think of data-first modernization as a technology challenge. Data fabric, data cleansing and tagging, data models, containers, inference at the edge – cloud-enabled platforms are all “go-to” conversation points. and “how to do it?” and “how to do it?”,

Strategy 143

Strategy Data-driven Internet of Things Measurement 143

AWS Big Data

MAY 9, 2024

As data analytics use cases grow, factors of scalability and concurrency become crucial for businesses. Your analytic solution architecture should be able to handle large data volumes at high concurrency and without compromising speed, thereby delivering a scalable high-performance analytics environment. Enter the endpoint name.

Testing 105

Testing Cost-Benefit Reporting Optimization 105

Ontotext

MAY 26, 2021

In much the same way, in the context of Artificial Intelligence AI systems, the Gold Standard refers to a set of data that has been manually prepared or verified and that represents “the objective truth” as closely as possible. And this is a challenge, as today’s data comes in huge volumes and from various sources.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Occam's Razor

AUGUST 13, 2012

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Then you build a massive data store that you can query for data to analyze. They also reveal things that starting to become scary (Privacy! EU Cookies!)

Modeling 125

Modeling Metrics Data Quality Data-driven 125

AWS Big Data

JULY 25, 2024

AWS Data Pipeline helps customers automate the movement and transformation of data. With Data Pipeline, customers can define data-driven workflows, so that tasks can be dependent on the successful completion of previous tasks. Some customers want a deeper level of control and specificity than possible using Data Pipeline.

Visualization 115

Visualization Management Data Integration Testing 115

AWS Big Data

JULY 26, 2023

Data is a key enabler for your business. Many AWS customers have integrated their data across multiple data sources using AWS Glue , a serverless data integration service, in order to make data-driven business decisions. Are there recommended approaches to provisioning components for data integration?

Data Integration 97

Data Integration Snapshot Testing Visualization 97

CIO Business Intelligence

MARCH 7, 2023

Ready for the right applications Generative AI is ready for use in coding, administrative workflows, data refinement, and simple use cases such as pre-filling forms, says Oliver Wittmaier, CIO and product owner at DB SYSTEL GmbH, the wholly owned subsidiary of DB AG and digital partner for all group companies. “The

Enterprise 116

Enterprise IT Unstructured Data Experimentation 116

Occam's Razor

JANUARY 7, 2014

First… it is important to realize that big data's big imperative is driving big action. 7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: Reporting Squirrels spend 75% or more of their time in data production activities.

Data-driven 142

Data-driven Consulting Reporting Marketing 142

IBM Big Data Hub

DECEMBER 18, 2023

What is RUM data? Contrary to what you might think, RUM data isn’t a performance indicator for Captain Morgan, Cuban tourism or a Disney film franchise. Real User Monitoring (RUM) data is information about how people interact with online applications and services. Are there alternatives to RUM data? Actually, yes!

IT 63

IT Metrics Optimization Testing 63

Occam's Razor

JUNE 8, 2006

I am often asked what we look for when we hire Web Analysts or what quality do good Analysts possess or how to measure if a resource that already exists is optimal or how to mentor / motivate / guide our more junior Analysts to propel them to become great Analysts. Each data capture methodology comes has its benefits and dangerous negatives.

KPI 94

KPI Measurement Statistics Metrics 94

CIO Business Intelligence

JULY 31, 2023

And unlike other AI solutions, if you’re not finding what you’re looking for among our public platform’s large corpus of data, the Stack Overflow community is there to fill in the gaps that AI is unable to address. Enhanced search for Stack Overflow for Teams The same enhancements to search will also be coming to Stack Overflow for Teams.

Testing 97

Testing Visualization Enterprise Technology 97

Occam's Razor

AUGUST 22, 2022

Your analysis provides clear data that the campaign was a (glorious) failure. The post-campaign analysis that compares performance across Test & Control cells shows that Trust did not move at all. Suspiciously, there are indications that in a handful of Test DMAs it might have gone down!). It could not be clearer.

KPI 107

KPI Metrics Measurement Marketing 107

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. The clear benefit is that data stewards spend less time building and populating the data governance framework and more time realizing value and ROI from it.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. A few highlights from the session include.

Management 110

Management Machine Learning Experimentation Metrics 110

Wayne Yaddow

MARCH 14, 2025

How dbt Core aids data teams test, validate, and monitor complex data transformations and conversions Photo by NASA on Unsplash Introduction dbt Core, an open-source framework for developing, testing, and documenting SQL-based data transformations, has become a must-have tool for modern data teams as the complexity of data pipelines grows.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

IBM Big Data Hub

DECEMBER 19, 2023

In this stage, the focus is building an enterprise catalog of continuous integration, deployment and testing (CI/CD/CT) and Ops patterns with necessary tooling integrations to automate core development and testing activities. This results in trust, efficiency and accuracy in reviews.

Testing 74

Testing Enterprise Modeling Software 74

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Overview of the BMW Cloud Data Hub At the BMW Group, Cloud Data Hub (CDH) is the central platform for managing company-wide data and data solutions.

Analytics 111

Analytics Dashboards Metadata Data Warehouse 111

Insight

NOVEMBER 14, 2019

The prevalent use of online platforms for interaction and the large size of the text data from users’ input makes digesting data increasingly more time-consuming. Data The company shared 180k students’ reflections that, based on the company’s rubric system, were considered high quality (having a strategy/strategies).

Testing 54

Testing Modeling Strategy Interactive 54

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers.

Data Warehouse 84

Data Warehouse Dashboards Testing Visualization 84