AWS Big Data

OCTOBER 10, 2023

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 confidentiality and data quality are the two essential themes for data governance.

Data Quality 93

Data Quality Data Governance Data Lake Testing 93

Dataiku

APRIL 19, 2021

Data needs to be valuable, thus of high quality , to drive machine learning model success.

Data Quality 105

Data Quality Machine Learning Modeling Management 105

DataKitchen

MAY 7, 2024

DataKitchen Training And Certification Offerings For Individual contributors with a background in Data Analytics/Science/Engineering Overall Ideas and Principles of DataOps DataOps Cookbook (200 page book over 30,000 readers, free): DataOps Certificatio n (3 hours, online, free, signup online): DataOps Manifesto (over 30,000 signatures) One (..)

Data Quality 161

Data Quality Testing Consulting Metrics 161

O'Reilly on Data

OCTOBER 13, 2020

The field of AI product management continues to gain momentum. As the AI product management role advances in maturity, more and more information and advice has become available. One area that has received less attention is the role of an AI product manager after the product is deployed.

Management 240

Management Metrics Machine Learning Modeling 240

O'Reilly on Data

JUNE 19, 2019

A look at the landscape of tools for building and deploying robust, production-ready machine learning models. We are also beginning to see researchers share sample code written in popular open source libraries, and some even share pre-trained models. Model development. Model governance. Source: Ben Lorica.

Modeling 193

Modeling Machine Learning Testing Metrics 193

CIO Business Intelligence

AUGUST 2, 2022

Reyes has been with AES since 2007, working his way up the organization ladder from an SAP integration lead in Buenos Aires to application security manager, IT project director, and director of digital transformation today. If it doesn’t work, and we don’t understand why, then, we pivot to a different model and a hypothesis.

Data Quality 84

Data Quality Digital Transformation Machine Learning Predictive Analytics 84

TDAN

MAY 1, 2024

If you look at Google Trends, you’ll see that the explosion of searches for generative AI (GenAI) and large language models correlates with the introduction of ChatGPT back in November 2022.

Data Quality 52

Data Quality Modeling Data Governance Management 52

CIO Business Intelligence

FEBRUARY 2, 2024

As data and analytics become the beating heart of the enterprise, it’s increasingly critical for the business to have access to consistent, high-quality data assets. Master data management (MDM) is required to ensure the enterprise’s data is consistent, accurate, and controlled. for 180 days access.

Management 113

Management Data Governance Cost-Benefit Testing 113

Octopai

MARCH 23, 2022

If today, federal inspections and authorizations of meatpacking plants are made with some level of reliance on data systems (and they almost certainly are), then dirty data could even lead directly to dirty meat. Cleaning Up Dirty Data. Data Supervision. Everyone agrees that data quality is important.

Data Quality 91

Data Quality Reporting Modeling Interactive 91

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

Dataiku

AUGUST 10, 2021

Using machine learning (ML) to predict customer growth, churn, and to find insights in the data is not only a trendy topic, but also something that can bring a lot of value.

Data Quality 105

Data Quality Machine Learning Modeling Management 105

AWS Big Data

JUNE 6, 2023

Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset. It supports both data quality at rest and data quality in AWS Glue extract, transform, and load (ETL) pipelines.

Data Quality 71

Data Quality Data Lake Visualization Data-driven 71

Alation

JANUARY 20, 2022

Several weeks ago (prior to the Omicron wave), I got to attend my first conference in roughly two years: Dataversity’s Data Quality and Information Quality Conference. Ryan Doupe, Chief Data Officer of American Fidelity, held a thought-provoking session that resonated with me. Step 2: Data Definitions.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

IBM Big Data Hub

NOVEMBER 4, 2022

Data is the new oil and organizations of all stripes are tapping this resource to fuel growth. However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. Unlock quality data with IBM. and its leading data observability offerings.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 327

Management Machine Learning Experimentation Metrics 327

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

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. Harvest data. Govern data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

erwin

AUGUST 31, 2023

Q: Is data modeling cool again? In today’s fast-paced digital landscape, data reigns supreme. The data-driven enterprise relies on accurate, accessible, and actionable information to make strategic decisions and drive innovation. A: It always was and is getting cooler!!

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

BI-Survey

APRIL 27, 2023

While most continue to struggle with data quality issues and cumbersome manual processes, best-in-class companies are making improvements with commercial automation tools. The data vault has strong adherents among best-in-class companies, even though its usage lags the alternative approaches of third-normal-form and star schema.

Modeling 52

Modeling Data Warehouse Data Quality Business Driver 52

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure. DataOps ensures that the data retrieved is relevant, high-quality, and up-to-date.

Data Quality 117

Data Quality Unstructured Data Testing Modeling 117

CIO Business Intelligence

JUNE 9, 2023

Such is the case with a data management strategy. That gap is becoming increasingly apparent because of artificial intelligence’s (AI) dependence on effective data management. For many organizations, the real challenge is quantifying the ROI benefits of data management in terms of dollars and cents.

Strategy 112

Strategy Management Key Performance Indicator ROI 112

Ontotext

MARCH 27, 2024

For example, GPS, social media, cell phone handoffs are modeled as graphs while data catalogs, data lineage and MDM tools leverage knowledge graphs for linking metadata with semantics. Knowledge graphs model knowledge of a domain as a graph with a network of entities and relationships.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs. Have I Checked The Raw Data And The Integrated Data?

Testing 124

Testing Metrics Data Quality Dashboards 124

Smart Data Collective

SEPTEMBER 28, 2022

quintillion bytes of data are generated each day? Businesses are having a difficult time managing this growing array of data, so they need new data management tools. Data management is a growing field, and it’s essential for any business to have a data management solution in place.

Big Data 104

Big Data Management Data Quality Cost-Benefit 104

CIO Business Intelligence

MAY 3, 2022

On creating a data hub: We began looking at the need for a new approach into data quality and data governance for the company in late 2020. Several other business functions are accountable for the data, which, if not managed well, can quickly become fragmented.

Data Quality 80

Data Quality Machine Learning Business Objectives Business Intelligence 80

Ontotext

JANUARY 25, 2024

In the current data management landscape, enterprises have to deal with diverse and dispersed data at unimaginable volumes. Among this complexity of siloed data and content, valuable business insights and opportunities get lost. This solves ambiguity issues that plague traditional data management systems.

Enterprise 64

Enterprise Management Cost-Benefit Metadata 64

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

Alation

DECEMBER 21, 2022

Master Data Management (MDM) and data catalog growth are accelerating because organizations must integrate more systems, comply with privacy regulations, and address data quality concerns. What Is Master Data Management (MDM)? Data Catalog and Master Data Management.

Management 52

Management Data Quality Metadata Testing 52

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Sandbox Creation and Management. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Meta-Orchestration. Continuous Deployment.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models? Why do we need data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

erwin

AUGUST 1, 2023

Intro erwin ® Data Modeler 12.5 It requires many functional elements of an organization to come together in order to reach the ultimate stages of being able to identify, understand and fully leverage the power of its data. erwin Data Modeler 12.5 erwin Data Modeler 12.5 erwin Data Modeler 12.5

Modeling 52

Modeling Metadata Data Quality Data Governance 52

Octopai

DECEMBER 12, 2021

What is a metadata management tool? If you have no way of organizing your metadata, it quickly gets added to the data pile up and becomes a liability itself. To keep your data landscape traversable and understandable, you need a metadata management tool. What are examples of metadata management tools?

Metadata 93

Metadata Management Data Quality Data Governance 93

Ontotext

JANUARY 29, 2024

The generative AI buzz and interest in cloud migration shouldn’t be ignored, but as with any technology that requires data strategy, it’s critical that data and analytics professionals be crystal clear about their priorities and confident in the projects that will positively impact their business and goals.

Strategy 52

Strategy Management Metadata Data-driven 52

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

Risk 99

Risk Optimization Management Insurance 99

CIO Business Intelligence

MAY 30, 2024

She then led the digital transformation of Schneider Electric, a global Fortune 100 energy management company. The second thing is, more often than not, organizations underestimate the change management that is instrumental for transformations to be successful. Folks can get enamored by the technology.

Data Quality 83

Data Quality Key Performance Indicator Digital Transformation Management 83

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97