Ontotext

FEBRUARY 1, 2024

Knowledge graphs The final step in model complexity covered in my talk is the advent of enterprise knowledge graphs, and, more specifically, what Synaptica calls content-aware knowledge graphs. Extreme scale Many, if not most, enterprise taxonomies have under 10,000 concepts. What do we mean by content aware knowledge graphs?

Enterprise 59

Enterprise Management Metadata Modeling 59

Alation

FEBRUARY 13, 2020

Human Curation + Machine Learning. The way Herschel, Fry, and Zimmerman talked about AI in many respects reflects our vision for machine learning data catalogs. What’s more, Zaidi and Gartner believe that this vision of a machine-learning-enabled data catalog creates real value for enterprises.

Machine Learning 52

Machine Learning Data Analytics Analytics Metadata 52

Cloudera

MARCH 3, 2022

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. . Everyone Fails Data Governance. In 2019, the U.K.’s From Bad to Worse.

Data Governance 100

Data Governance Enterprise Data Quality Metadata 100

CIO Business Intelligence

MARCH 6, 2024

Salesforce Einstein platform was released in September last year as an open platform that the company developed to enable enterprises to unify their data before developing generative AI-based applications and use cases via low code and no code interface.

IT 114

IT Metadata Interactive Enterprise 114

AWS Big Data

APRIL 3, 2024

For many enterprises and large organizations, it is not feasible to have one processing engine or tool to deal with the various business requirements. AWS provides integrations for various AWS services with Iceberg tables as well, including AWS Glue Data Catalog for tracking table metadata.

Data Lake 98

Data Lake Snapshot Metadata Data Architecture 98

Octopai

APRIL 19, 2021

Aptly named, metadata management is the process in which BI and Analytics teams manage metadata, which is the data that describes other data. In other words, data is the context and metadata is the content. Without metadata, BI teams are unable to understand the data’s full story. Donna Burbank. IRM UK Connects.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Alation

FEBRUARY 13, 2020

In an earlier blog, I defined a data catalog as “a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.”.

Metadata 52

Metadata Management Data Lake Data Governance 52

Alation

FEBRUARY 12, 2020

Gone are the days when static metadata repositories and manual curation were enough (if they ever really were). In a recent report*, Gartner analysts, Ehtisham Zaidi and Guido De Simoni, call augmented data catalogs an “enterprise must-have” for data and analytics leaders. Hundreds (even thousands) of data consumers.

Enterprise 52

Enterprise Metadata Machine Learning Reporting 52

Rocket-Powered Data Science

FEBRUARY 15, 2023

These rules are not necessarily “Rocket Science” (despite the name of this blog site), but they are common business sense for most business-disruptive technology implementations in enterprises. FUD occurs when there is too much hype and “management speak” in the discussions.

Strategy 289

Strategy Experimentation Uncertainty Machine Learning 289

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 139

Finance Management Metadata Data Quality 139

AWS Big Data

MARCH 4, 2024

As enterprises collect increasing amounts of data from various sources, the structure and organization of that data often need to change over time to meet evolving analytical needs. This is critical for fast-moving enterprises to augment data structures to support new use cases. Iceberg maintains the table state in metadata files.

Snapshot 116

Snapshot Data Lake Metadata Recreation/Entertainment 116

Alation

MAY 20, 2021

Alation has upgraded search with ranking that weights valuable social signals, and a new view that shares metadata alongside results. When it comes to enterprise search, Alation has always led the industry. Some people really like to see metadata alongside their search results. With the latest release of 2021.2, Trust flag text.

Enterprise 52

Enterprise Metadata Data Quality Machine Learning 52

AWS Big Data

FEBRUARY 29, 2024

Working with large language models (LLMs) for enterprise use cases requires the implementation of quality and privacy considerations to drive responsible AI. However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications.

Data Governance 101

Data Governance Unstructured Data Metadata Data Lake 101

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift is a popular cloud data warehouse, offering a fully managed cloud-based service that seamlessly integrates with an organization’s Amazon Simple Storage Service (Amazon S3) data lake, real-time streams, machine learning (ML) workflows, transactional workflows, and much more—all while providing up to 7.9x

Enterprise 88

Enterprise Data Warehouse Snapshot Cost-Benefit 88

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). AI products are automated systems that collect and learn from data to make user-facing decisions. We won’t go into the mathematics or engineering of modern machine learning here.

Management 332

Management Machine Learning Experimentation Metrics 332

Ontotext

APRIL 19, 2024

We mainly talked about the company’s Metadata Studio and the types of features it has that give users the options I’ve listed above. The knowledge graph as a reusable, growing resource Of course the vast majority of enterprise data (Ontotext puts the estimate at 80 percent) is unstructured. In essence, the enterprise has buried it.

Metadata 52

Metadata Statistics Interactive Enterprise 52

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

AWS Big Data

DECEMBER 13, 2023

For the past 5 years, BMS has used a custom framework called Enterprise Data Lake Services (EDLS) to create ETL jobs for business users. EDLS job steps and metadata Every EDLS job comprises one or more job steps chained together and run in a predefined order orchestrated by the custom ETL framework.

Metadata 92

Metadata Data Lake Visualization Data Transformation 92

O'Reilly on Data

JANUARY 8, 2019

In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Sustaining machine learning in an enterprise.

IoT 204

IoT Machine Learning Internet of Things Data Science 204

Ontotext

DECEMBER 1, 2023

Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises. ” With new business lines, leading to new tools, a lot of diverse and siloed data inevitably enters enterprise systems. The question is not how to avoid complexity but how to embrace it and take advantage of it.”

Metadata 78

Metadata Sales Consulting Enterprise 78

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. This approach is fueled by enterprise semantics and makes data findable, consistent, interoperable, and reusable for generating faster insights. Our Value Proposition How does TopQuadrant fit into this picture?

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

CIO Business Intelligence

MARCH 24, 2023

While data management has become a common term for the discipline, it is sometimes referred to as data resource management or enterprise information management (EIM). Several of the overall benefits of data management can only be realized after the enterprise has established systematic data governance.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. Why Enterprise Knowledge Graphs? The first challenge here is how to enable agile enterprise information management.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

IBM Big Data Hub

JUNE 23, 2022

Data governance – Some of the most exciting governance capabilities of the IBM Data fabric include automatically applying metadata to new datasets using machine learning as well as auto-generated data quality assessments and scoring and AI-based dataset recommendations. Providing the semantic. Providing the semantic.

Enterprise 52

Enterprise Metadata Data Governance Machine Learning 52

AWS Big Data

APRIL 29, 2024

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS).

Management 101

Management Big Data Metadata Data Warehouse 101

DataKitchen

AUGUST 3, 2021

The data mesh design pattern breaks giant, monolithic enterprise data architectures into subsystems or domains, each managed by a dedicated team. This post (1 of 5) is the beginning of a series that explores the benefits and challenges of implementing a data mesh and reviews lessons learned from a pharmaceutical industry data mesh example.

Data Architecture 246

Data Architecture Data Lake Cost-Benefit Data Warehouse 246

CIO Business Intelligence

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Alation

DECEMBER 11, 2019

Gone are the days when static metadata repositories and manual curation were enough (if they ever really were). To keep up with the rapid influx of data, the many disparate data environments, and the rise in self-service analytics users, enterprises need an […]. Millions of datasets.

Enterprise 52

Enterprise Metadata Analytics Machine Learning 52

Smarten

JANUARY 30, 2024

When an enterprise chooses the right self-serve data preparation tools, it can confidently use these tools to prepare for and execute analytics that will result in concise, clear results that benefit the organization, its users and its customers and stakeholders.

Analytics 67

Analytics Data Quality Visualization Metadata 67

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). ” Are foundation models trustworthy?

Risk 78

Risk Modeling Management Metadata 78

Cloudera

AUGUST 30, 2018

Machine learning driven business – A focus on the design of systems that can learn from and make decisions and predictions based on data. The rest of this blog is focused on how Cloudera Enterprise 6.0 We’re excited to see how CIO’s and CDO’s optimize existing and create new usage models with Cloudera Enterprise 6.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

CIO Business Intelligence

DECEMBER 13, 2023

and applying and enriching metadata helps organizations take a big step toward innovating with generative AI. While every enterprise has unique physical and digital assets, the following are examples of the power that may be hidden in your unstructured data. What’s hiding in your unstructured data?

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Octopai

OCTOBER 23, 2019

The same is true of enterprise data. Modern enterprises find themselves sitting on mountains of data. What is enterprise data mapping good for? How to Create Enterprise Data Mapping? Creating a good data map can be a very labor-intensive task, especially for large enterprises with many data assets.

Enterprise 43

Enterprise IT Metadata Consulting 43

Alation

FEBRUARY 13, 2020

Following a very successful year of growth in Alation’s business, this announcement marks a milestone for Alation and the enterprise data catalog market. What started six years ago as one startup trying to improve the way people work with data has become a full-blown market category – Machine Learning Data Catalogs.

Enterprise 52

Enterprise Data Lake Machine Learning Data-driven 52

Cloudera

JUNE 7, 2023

Agencies should carefully craft and review data governance policies to ensure all data lifecycle security aspects are appropriately enforced across the enterprise.” It operates independently from compute and storage layers, offering integrated security and governance based on metadata.

Metadata 83

Metadata Data Lake Optimization Modeling 83

CIO Business Intelligence

AUGUST 7, 2023

With data, an organization can do super powerful things with AI and machine learning, like building models that do everything from enhancing fraud detection capabilities to identifying gaps in the market for the organization to separate from the pack. According to research firm Forrester, 94% of U.S.

Metadata 89

Metadata Risk Software Enterprise 89

AWS Big Data

NOVEMBER 17, 2023

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. You don’t need to write any code. Choose Next.

Visualization 88

Visualization Metadata Testing Internet of Things 88