CIO Business Intelligence

NOVEMBER 27, 2024

By eliminating time-consuming tasks such as data entry, document processing, and report generation, AI allows teams to focus on higher-value, strategic initiatives that fuel innovation. Ensuring these elements are at the forefront of your data strategy is essential to harnessing AI’s power responsibly and sustainably.

Data Governance 132

Data Governance Risk Insurance Metadata 132

Alation

JULY 19, 2021

What Is Metadata? Metadata is information about data. A clothing catalog or dictionary are both examples of metadata repositories. Indeed, a popular online catalog, like Amazon, offers rich metadata around products to guide shoppers: ratings, reviews, and product details are all examples of metadata.

Metadata 105

Metadata Management Data Governance Machine Learning 105

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks. General concerns.

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

AWS Big Data

JULY 29, 2024

This enables more informed decision-making and innovative insights through various analytics and machine learning applications. In this blog post, we’ll discuss how the metadata layer of Apache Iceberg can be used to make data lakes more efficient.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

AWS Big Data

MAY 2, 2025

They consist of: A data sample of the documents you want to index. A pipeline of processors that apply transforms on ingested documents. An index constructed from the processed documents. From the designer, we see that Cohere Rerank requires a list of documents and the query context as input.

Machine Learning 92

Machine Learning Visualization Dashboards Metadata 92

CIO Business Intelligence

JANUARY 9, 2025

Before LLMs and diffusion models, organizations had to invest a significant amount of time, effort, and resources into developing custom machine-learning models to solve difficult problems. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

Rocket-Powered Data Science

FEBRUARY 15, 2023

Since ChatGPT is built from large language models that are trained against massive data sets (mostly business documents, internal text repositories, and similar resources) within your organization, consequently attention must be given to the stability, accessibility, and reliability of those resources.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

AWS Big Data

NOVEMBER 20, 2024

We’re excited to announce a new feature in Amazon DataZone that offers enhanced metadata governance for your subscription approval process. With this update, domain owners can define and enforce metadata requirements for data consumers when they request access to data assets. Key benefits The feature benefits multiple stakeholders.

Metadata 97

Metadata Data Governance Metrics Marketing 97

IBM Big Data Hub

MAY 20, 2024

Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. In this blog post, we will explore the importance of lineage transparency for machine learning data sets and how it can help establish and ensure, trust and reliability in ML conclusions.

Machine Learning 87

Machine Learning Modeling Metadata Strategy 87

Cloudera

AUGUST 24, 2022

Cloudera Machine Learning (CML) is a cloud-native and hybrid-friendly machine learning platform. CML empowers organizations to build and deploy machine learning and AI capabilities for business at scale, efficiently and securely, anywhere they want. Cloudera Machine Learning. References.

Machine Learning 83

Machine Learning Metadata Testing Data Science 83

CIO Business Intelligence

APRIL 8, 2025

As data-centric AI, automated metadata management and privacy-aware data sharing mature, the opportunity to embed data quality into the enterprises core has never been more significant. Data fabric Metadata-rich integration layer across distributed systems. Implementation complexity, relies on robust metadata management.

Data Quality 102

Data Quality Data-driven Key Performance Indicator Metadata 102

CIO Business Intelligence

SEPTEMBER 19, 2024

This enables companies to directly access key metadata (tags, governance policies, and data quality indicators) from over 100 data sources in Data Cloud, it said. Additional to that, we are also allowing the metadata inside of Alation to be read into these agents.” That work takes a lot of machine learning and AI to accomplish.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

AWS Big Data

OCTOBER 25, 2023

Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. However, with the help of AI and machine learning (ML), new software tools are now available to unearth the value of unstructured data. The solution integrates data in three tiers.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

erwin

JANUARY 30, 2020

However, more than 50 percent say they have deployed metadata management, data analytics, and data quality solutions. erwin Named a Leader in Gartner 2019 Metadata Management Magic Quadrant. And close to 50 percent have deployed data catalogs and business glossaries. Top Five: Benefits of An Automation Framework for Data Governance.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

CIO Business Intelligence

NOVEMBER 27, 2024

New sensors are likely to be more precise and more accurate, customer support requests will be about newer versions of your products, or you’ll get more metadata about new prospects from their online footprint. For AI, there’s no universal standard for when data is ‘clean enough.’

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

Ontotext

FEBRUARY 16, 2023

This data can then be easily analyzed to provide insights or used to train machine learning models. In text analytics, the human benchmark is a set of documents manually annotated by human experts. What Are The Benefits Of Using Ontotext Metadata Studio? What Is A Human Benchmark?

Metadata 59

Metadata Measurement Metrics Modeling 59

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. The document processing layer supports document ingestion and orchestration. Overview of solution The solution was designed in layers.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do? Automated Data Discovery.

Metadata 52

Metadata Management Data Processing Machine Learning 52

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework? Your framework should include the following: Global metadata: applies to all information.

Metadata 52

Metadata Management Data Governance Machine Learning 52

CIO Business Intelligence

MARCH 24, 2023

They must be accompanied by documentation to support compliance-based and operational auditing requirements. Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. The program must introduce and support standardization of enterprise data.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

APRIL 2, 2024

Data consumers need detailed descriptions of the business context of a data asset and documentation about its recommended use cases to quickly identify the relevant data for their intended use case. This reduces the need for time-consuming manual documentation, making data more easily discoverable and comprehensible.

Metadata 111

Metadata Metrics Data-driven Contextual Data 111

erwin

JANUARY 3, 2020

In addition, ethical artificial intelligence (AI) and machine learning (ML) applications will be used by organizations to ensure their training data sets are well-defined, consistent and of high quality. Mapping and cataloging these data sources makes this a manageable challenge.

Data Governance 139

Data Governance Digital Transformation IoT Metadata 139

Data Science 101

DECEMBER 16, 2019

It now also supports PDF documents. Azure Data Factory Preserves Metadata during File Copy When performing a File copy between Amazon S3, Azure Blob, and Azure Data Lake Gen 2, the metadata will be copied as well. Courses and Learning. Not a huge update but still a nice feature.

Data Science 81

Data Science Machine Learning Metadata Data Lake 81

CIO Business Intelligence

JUNE 12, 2024

Some of the models are traditional machine learning (ML), and some, LaRovere says, are gen AI, including the new multi-modal advances. Most enterprise data is unstructured and semi-structured documents and code, as well as images and video. The generative AI is filling in data gaps,” she says.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

AWS Big Data

OCTOBER 30, 2024

Because a CDC file can contain data for multiple tables, the job loops over the tables in a file and loads the table metadata from the source table ( RDS column names). For more details on this feature, see the Iceberg MERGE INTO syntax documentation. If the CDC operation is DELETE, the job deletes the records from the Iceberg table.

Data Lake 105

Data Lake Data Processing Optimization Machine Learning 105

Domino Data Lab

JULY 2, 2019

In other words, using metadata about data science work to generate code. One of the longer-term trends that we’re seeing with Airflow , and so on, is to externalize graph-based metadata and leverage it beyond the lifecycle of a single SQL query, making our workflows smarter and more robust. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

Cloudera

SEPTEMBER 28, 2020

Data Science and machine learning workloads using CDSW. Review the Upgrade document topic for the supported upgrade paths. Document the number of dev/test/production clusters. Document the operating system versions, database versions, and JDK versions. Scan all the documentation and read all upgrade steps.

Testing 132

Testing Metadata Risk Data Science 132

Ontotext

DECEMBER 15, 2022

Enter metadata. Metadata describes data and includes information such as how old data is, where it was created, who owns it, and what concepts (or other data) it relates to. As a result, leveraging metadata has become a core capability for businesses trying to extract value from their data. Knowledge (metadata) layer.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52

erwin

NOVEMBER 6, 2020

Industry analysts and other people who write about data governance and automation define it narrowly, with an emphasis on artificial intelligence (AI) and machine learning (ML). Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

AWS Big Data

FEBRUARY 26, 2025

This launch brings together widely adopted AWS machine learning (ML) and analytics capabilities and provides an integrated experience for analytics and AI with unified access to data and built-in governance. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data. With AWS Glue 5.0,

Analytics 62

Analytics Data Lake Metadata Data Warehouse 62

AWS Big Data

FEBRUARY 29, 2024

The need for an end-to-end strategy for data management and data governance at every step of the journey—from ingesting, storing, and querying data to analyzing, visualizing, and running artificial intelligence (AI) and machine learning (ML) models—continues to be of paramount importance for enterprises.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

AWS Big Data

APRIL 24, 2025

You can secure and centrally manage your data in the lakehouse by defining fine-grained permissions with Lake Formation that are consistently applied across all analytics and machine learning(ML) tools and engines. For more information, refer to documentation.

Sales 93

Sales Data Lake Management Data-driven 93

DataRobot Blog

MARCH 9, 2022

The Amazon Product Reviews Dataset provides over 142 million Amazon product reviews with their associated metadata, allowing machine learning practitioners to train sentiment models using product ratings as a proxy for the sentiment label. We use the term “document” loosely.) It provides 1.6

Machine Learning 52

Machine Learning Deep Learning Modeling Measurement 52

AWS Big Data

DECEMBER 4, 2024

Enter Amazon SageMaker Lakehouse, which you can use to unify all your data across Amazon Simple Storage Service (Amazon S3) data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI and machine learning (AI/ML) applications on a single copy of data.

Data Lake 116

Data Lake Metadata Insurance Data-driven 116

Domino Data Lab

SEPTEMBER 9, 2019

Data science teams in industry must work with lots of text, one of the top four categories of data used in machine learning. Next, let’s run a small “document” through the natural language parser: In [2]: text = "The rain in Spain falls mainly on the plain."? doc = nlp(text)?? for token in doc:?.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

AWS Big Data

JUNE 18, 2024

To enable multimodal search across text, images, and combinations of the two, you generate embeddings for both text-based image metadata and the image itself. Text embeddings capture document semantics, while image embeddings capture visual attributes that help you build rich image search applications.

Dashboards 119

Dashboards Metadata Modeling Visualization 119

IBM Big Data Hub

MAY 9, 2023

After some impressive advances over the past decade, largely thanks to the techniques of Machine Learning (ML) and Deep Learning , the technology seems to have taken a sudden leap forward. 1] Users can access data through a single point of entry, with a shared metadata layer across clouds and on-premises environments.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106