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.

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Data Quality Visualization Metadata Metrics 119

AWS Big Data

AUGUST 8, 2024

They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules commonly assess the data based on fixed criteria reflecting the current business state. In this post, we demonstrate how this feature works with an example.

Data Quality 116

Data Quality Statistics Visualization Metrics 116

Smart Data Collective

SEPTEMBER 29, 2022

OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. Data strategies are becoming more dependent on new technology that is arising.

Data-driven 145

Data-driven Data Quality Optimization Insurance 145

CIO Business Intelligence

NOVEMBER 4, 2024

Artificial Intelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. The Nutanix State of Enterprise AI Report highlights AI adoption, challenges, and the future of this transformative technology. Nutanix commissioned U.K. Nutanix commissioned U.K.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

AWS Big Data

MAY 23, 2024

They establish data quality rules to ensure the extracted data is of high quality for accurate business decisions. These rules assess the data based on fixed criteria reflecting current business states. We are excited to talk about how to use dynamic rules , a new capability of AWS Glue Data Quality.

Data Quality 120

Data Quality Metrics Sales Data Lake 120

CIO Business Intelligence

DECEMBER 11, 2024

According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology. Some senior technology leaders fear a Pandoras Box type situation with AI becoming impossible to control once unleashed.

Risk 111

Risk Data Strategy Strategy Data Governance 111

CIO Business Intelligence

DECEMBER 10, 2024

Set clear, measurable metrics around what you want to improve with generative AI, including the pain points and the opportunities, says Shaown Nandi, director of technology at AWS. A second area is improving data quality and integrating systems for marketing departments, then tracking how these changes impact marketing metrics.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

MARCH 13, 2024

But hearing those voices, and how to effectively respond, is dictated by the quality of data available, and understanding how to properly utilize it. “We We know in financial services and in a lot of verticals, we have a whole slew of data quality challenges,” he says. Traditionally, AI data quality has been a challenge.”

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Data Quality Digital Transformation Enterprise Marketing 105

CIO Business Intelligence

NOVEMBER 18, 2024

If the data volume is insufficient, it’s impossible to build robust ML algorithms. If the data quality is poor, the generated outcomes will be useless. By partnering with industry leaders, businesses can acquire the resources needed for efficient data discovery, multi-environment management, and strong data protection.

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

OCTOBER 9, 2024

Some customers build custom in-house data parity frameworks to validate data during migration. Others use open source data quality products for data parity use cases. This takes away important person hours from the actual migration effort into building and maintaining a data parity framework.

Data Quality 114

Data Quality Data Lake Data Warehouse Metrics 114

CIO Business Intelligence

JANUARY 5, 2025

Research from Gartner, for example, shows that approximately 30% of generative AI (GenAI) will not make it past the proof-of-concept phase by the end of 2025, due to factors including poor data quality, inadequate risk controls, and escalating costs. [1] Reliability and security is paramount.

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

CIO Business Intelligence

JANUARY 7, 2025

Regardless of the driver of transformation, your companys culture, leadership, and operating practices must continuously improve to meet the demands of a globally competitive, faster-paced, and technology-enabled world with increasing security and other operational risks.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

O'Reilly on Data

SEPTEMBER 24, 2018

If this dirty data proliferates and propagates to other systems, we open Pandora’s box of unintended consequences. The DataOps team needs to watch out for data issues and fix them before they get copied around. These data quality issues bring a new level of potential problems for real-time systems.

Enterprise 259

Enterprise Big Data Data Quality Unstructured Data 259

AWS Big Data

DECEMBER 4, 2024

In doing so, a unified view across all their data is required—one that breaks down data silos and simplifies data usage for teams, without sacrificing the depth and breadth of capabilities that make AWS tools unbelievably valuable. Having confidence in your data is key.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

CIO Business Intelligence

OCTOBER 30, 2024

The path to achieving AI at scale is paved with myriad challenges: data quality and availability, deployment, and integration with existing systems among them. A data fabric is a series of cooperating technologies that help create a unified view of data from disparate systems and services across the organization.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

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Management Data Warehouse Data Quality Data Integration 324

CIO Business Intelligence

AUGUST 28, 2024

However, in terms of in-house technology, the Belgian company’s carbon footprint data used to be stored on spreadsheets, while quality control was performed manually, limiting the Elia Group’s ability to calculate the Scope 3 upstream emissions released for all their assets.

Technology 121

Technology Data-driven Reporting Software 121

O'Reilly on Data

NOVEMBER 19, 2024

Graph technologies help reveal nonintuitive connections within data. GraphRAG is a technique which uses graph technologies to enhance RAG, which has become popularized since Q3 2023. What is GraphRAG?

Unstructured Data 312

Unstructured Data Structured Data Statistics Modeling 312

CIO Business Intelligence

FEBRUARY 26, 2025

Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. If all your technology is buried and not exposed through the right set of APIs, and through a flexible set of microservices, itll be hard to deliver agentic experiences. Not all of that is gen AI, though.

IT 141

IT Enterprise Interactive Data Quality 141

O'Reilly on Data

MARCH 18, 2020

More than half of respondent organizations identify as “mature” adopters of AI technologies: that is, they’re using AI for analysis or in production. The sample is far from tech-laden, however: the only other explicit technology category—“Computers, Electronics, & Hardware”—accounts for less than 7% of the sample.

Enterprise 347

Enterprise Deep Learning Data Governance Risk 347

O'Reilly on Data

JUNE 18, 2019

A recent O’Reilly survey found that those with mature AI practices (as measured by how long they’ve had models in production) cited “Lack of data or data quality issues” as the main bottleneck holding back further adoption of AI technologies. Data integration and cleaning. Data unification and integration.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Data breaks.

Testing 304

Testing Machine Learning Consulting Data Science 304

IBM Big Data Hub

MAY 9, 2023

We can use foundation models to quickly perform tasks with limited annotated data and minimal effort; in some cases, we need only to describe the task at hand to coax the model into solving it. But these powerful technologies also introduce new risks and challenges for enterprises. All watsonx.ai Learn more about watsonx.ai

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Enterprise Technology Modeling Cost-Benefit 128

Timo Elliott

NOVEMBER 7, 2024

.” This realization was the catalyst for IKEA’s decision to embrace a “Data First” approach, positioning data at the core of its business transformation. The Strategy: A Greenfield Approach IKEA adopted a greenfield strategy with SAP, rethinking its processes, technology, and data from the ground up.

Data Transformation 84

Data Transformation Data Quality Digital Transformation Strategy 84

AWS Big Data

DECEMBER 4, 2024

By treating data as a product, the bank is positioned to not only overcome current challenges, but to unlock new opportunities for growth, customer service, and competitive advantage. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

CIO Business Intelligence

NOVEMBER 19, 2024

The right tools and technologies can keep a project on track, avoiding any gap between expected and realized benefits. A modern data and artificial intelligence (AI) platform running on scalable processors can handle diverse analytics workloads and speed data retrieval, delivering deeper insights to empower strategic decision-making.

Analytics 97

Analytics Cost-Benefit Finance Data-driven 97

CIO Business Intelligence

DECEMBER 11, 2024

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Similarly, there is a case for Snowflake, Cloudera or other platforms, depending on the companys overarching technology strategy.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

DECEMBER 17, 2024

Prioritize data quality and security. For AI models to succeed, they must be fed high-quality data thats accurate, up-to-date, secure, and complies with privacy regulations such as the Colorado Privacy Act, California Consumer Privacy Act, or General Data Protection Regulation (GDPR). The same holds true for genAI.

Experimentation 98

Experimentation ROI Risk Data Quality 98

IBM Big Data Hub

FEBRUARY 28, 2024

Here are four smart technologies modernizing strategic sourcing processes today: Automation Business process automation (also considered a type of business process outsourcing ) is pervasive across industries, minimizing manual tasks in accounting, human resources, IT and more. Blockchain Information is an invaluable business asset.

Strategy 94

Strategy Technology Cost-Benefit Risk Management 94

CIO Business Intelligence

JANUARY 1, 2025

The bigplayers,such as OTAs [Online Travel Agencies], are advancing in their adoption of new technologies, taking advantage of AI andbig datatools,while other actors are in earlier stages of integration, he says. In addition, Abril highlights specific benefits gained from applying new technologies.

Strategy 115

Strategy Digital Transformation Optimization Technology 115

Smarten

NOVEMBER 26, 2024

Today, organizations look to data and to technology to help them understand historical results, and predict the future needs of the enterprise to manage everything from suppliers and supplies to new locations, new products and services, hiring, training and investments.

Machine Learning 62

Machine Learning Data Quality Predictive Modeling Metadata 62

CIO Business Intelligence

NOVEMBER 13, 2024

These technologies can produce more content that everyone needs to consume and be aware of,” says Anita Woolley, professor at Carnegie Mellon University. There’s already more low-quality AI content flooding search results, and this can hurt employees looking for information both on the public web and in enterprise knowledge repositories.

IT 141

IT Consulting ROI Cost-Benefit 141

CIO Business Intelligence

MARCH 25, 2025

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Financial services firms have a rich tradition of being early adopters of many new technologies, and AI is no exception: Figure 1.

Machine Learning 52

Machine Learning Management Enterprise Risk Management 52

CIO Business Intelligence

JANUARY 9, 2025

However, successful AI implementation requires more than cutting-edge technology. It demands a robust foundation of consistent, high-quality data across all retail channels and systems. The disruption isnt in the technology itself but in how it can transform buying behaviours.

B2B 105

B2B Data-driven Cost-Benefit Sales 105

CIO Business Intelligence

NOVEMBER 5, 2024

The key is good data quality. Learn more about IDC’s research for technology leaders OR subscribe today to receive industry-leading research directly to your inbox. International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the technology markets.

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Uncertainty Measurement ROI Reporting 98