Ontotext

JUNE 27, 2019

Ontotext’s GraphDB is an enterprise-ready semantic graph database (also called RDF triplestore as it stores data in RDF triples). It provides the core infrastructure for solutions where modeling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical.

Metadata 40

Metadata Management Enterprise Optimization 40

Alation

JUNE 2, 2022

Data management is not yet a solved problem, but modern data management is leagues ahead of prior approaches. These include tracking, documenting, monitoring, versioning, and controlling access to AI/ML models. Governance is frequently administered at the tool, modeler, or departmental level. from cognilytica.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Rocket-Powered Data Science

JULY 6, 2021

So, there must be a strategy regarding who, what, when, where, why, and how is the organization’s content to be indexed, stored, accessed, delivered, used, and documented. That is, use AI and machine learning techniques on digital content (databases, documents, images, videos, press releases, forms, web content, social network posts, etc.)

Strategy 266

Strategy Machine Learning Metadata Knowledge Discovery 266

erwin

APRIL 4, 2022

If you’re a long-time erwin ® Data Modeler by Quest ® customer, you might be asking yourself, “What happened to the release naming convention of erwin Data Modeler?” In 2021 erwin Data Modeler released 2021R1. What’s new in erwin Data Modeler R12.0? DevOps GitHub integration via Mart.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

CIO Business Intelligence

NOVEMBER 21, 2023

Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 137

IT Risk Cost-Benefit Risk Management 137

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI AI starts with ‘good’ data” is a statement that receives wide agreement from data scientists, analysts, and business owners. The problem is even more magnified in the case of structured enterprise data.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

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 101

Data Governance Unstructured Data Metadata Data Lake 101

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

IBM Big Data Hub

JANUARY 26, 2024

AI intelligent maintenance diagnosis : AI intelligent maintenance and diagnosis uses AI technology and intelligent diagnostic models to guide technicians in diagnosing faults in the form of questions and answers. Likewise, it can provide best practice repair methods based on historical data and sort the matching degree.

Cost-Benefit 80

Cost-Benefit Enterprise Technology KPI 80

erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets. Subscribe to the erwin Expert Blog.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

CIO Business Intelligence

JANUARY 5, 2023

Many customers find the sweet spot in combining them with similar low code/no code tools for data integration and management to quickly automate standard tasks, and experiment with new services. This is especially true for routine, well-defined functions such as managing documents and workflows.

IT 130

IT Cost-Benefit Testing Dashboards 130

CIO Business Intelligence

NOVEMBER 17, 2022

A key component to the appeal of cloud-first business models is cloud technologies’ ability to simplify processes and streamline workflows through integration and automation. This is especially true for content management operations looking to navigate the complexities of data compliance while getting the most from their data.

Software 144

Software Management Digital Transformation Data Governance 144

Cloudera

JUNE 1, 2021

This means we can double down on our strategy – continuing to win the Hybrid Data Cloud battle in the IT department AND building new, easy-to-use cloud solutions for the line of business. It also means we can complete our business transformation with the systems, processes and people that support a new operating model. .

Uncertainty 144

Uncertainty Cost-Benefit Risk Strategy 144

erwin

JANUARY 30, 2020

Organizations also are experiencing multiple bottlenecks in their data value chains, including documenting complete data lineage, understanding the quality of source data, and finding, identifying and harvesting data assets and curating assets with business context. Stop Wasting Your Time.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Smart Data Collective

OCTOBER 19, 2022

What Are Their Ranges of Data Models? MongoDB has a wider range of datatypes than DynamoDB, even though both databases can store binary data. DynamoDB is limited to 400KB for documents and MongoDB can support up to 16MB file sizes. It is compatible with a laptop to mainframe and on-premise through a hybrid cloud.

Big Data 112

Big Data Management Cost-Benefit Recreation/Entertainment 112

Ontotext

OCTOBER 19, 2023

We need to solve many problems, including deduplication of data that refers to the same entity, extracting structured data within narratives in different languages, as well as mapping them to a common and international ontology. We are planning to develop or use AI-based tools for each of these problems.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

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. This is like a denial-of-service (DOS) attack on your model itself.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. An organization can achieve a more comprehensive and sustainable data governance initiative than it ever could with a homegrown solution.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). Best Data Governance Solution (erwin Data Intelligence). Read more about erwin® Data Intelligence by Quest.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

Ontotext

JUNE 10, 2021

And yeah, the real-world relationships among the entities represented in the data had to be fudged a bit to fit in the counterintuitive model of tabular data, but, in trade, you get reliability and speed. They create reliable, consistent and communicable models for representing data. Schemas are powerful.

Metadata 119

Metadata Cost-Benefit OLAP Modeling 119

erwin

SEPTEMBER 26, 2019

The benefits of Data Vault automation from the more abstract – like improving data integrity – to the tangible – such as clearly identifiable savings in cost and time. So Seriously … You Should Automate Your Data Vault. By Danny Sandwell.

Data Warehouse 108

Data Warehouse Cost-Benefit Data Integration Modeling 108

erwin

JUNE 4, 2020

These drawbacks mean businesses have to ensure their systems are fully documented and rationalized. With IT leaders involved from the start, they can work with the CFO and COO teams on assessing systems and providing advice on costs that might not otherwise be fully accounted for, such as systems and data integration.

Enterprise 96

Enterprise Cost-Benefit Strategy Modeling 96

IBM Big Data Hub

SEPTEMBER 20, 2022

But these organizations need to be able to trust their AI/ML models before they can be operationalized and used in crucial business processes. These days, if an AI model makes a biased, unfair decision involving the health, wealth or well-being of humans, an organization can hit the news for the wrong reasons. Is it scalable?

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

IBM Big Data Hub

JANUARY 15, 2024

Companies are rethinking their business models to become more digital and competitive. Another way organizations are experimenting with advanced security measures is through the blockchain, which can enhance data integrity and secure transactions.

Digital Transformation 78

Digital Transformation Internet of Things IoT Consulting 78

erwin

NOVEMBER 6, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. IT teams need the ability to smoothly generate hundreds of mappings and ETL jobs.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

FineReport

MARCH 24, 2021

We’re living in a world where data is proliferating, and the traditional way of storing and displaying data may cause you to lose your way. However, thanks to the improvement of information technology and the birth of the browser/server model, Web Reports appear with unprecedented advantages. Decision-Making Platform.

Reporting 98

Reporting Dashboards Interactive Visualization 98

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. standards modeled in a knowledge graph!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Jedox

APRIL 30, 2020

Flexibility is an absolute must for your planning solution to support a Sales Compensation Model, as well as extensive analytic and reporting capabilities. Let’s dive deeper: Data integration. Modeling and What-if capabilities. Pre-Packaged Model. No custom code or IT resources required.

Sales 52

Sales Management Reporting Interactive 52

CIO Business Intelligence

JUNE 7, 2022

Data scientist. Data scientists are the core of any AI team. They process and analyze data, build machine learning (ML) models, and draw conclusions to improve ML models already in production. Data scientists may build the ML models, but its ML engineers who implement them. Data engineer.

Machine Learning 145

Machine Learning Data Science Consulting Metrics 145

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market. Unlike traditional databases, processing large data volumes can be quite challenging.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Ontotext

NOVEMBER 2, 2023

Achieving this advantage is dependent on their ability to capture, connect, integrate, and convert data into insight for business decisions and processes. This is the goal of a “data-driven” organization. We call this the “ Bad Data Tax ”. This includes the reference data about business entities, agents, and people.

IT 69

IT Cost-Benefit Data-driven Technology 69

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping.

Data Governance 40

Data Governance Risk Metadata Management 40

CIO Business Intelligence

AUGUST 16, 2023

ChatGPT is capable of doing many of these tasks, but the custom support chatbot is using another model called text-embedding-ada-002, another generative AI model from OpenAI, specifically designed to work with embeddings—a type of database specifically designed to feed data into large language models (LLM).

Modeling 98

Modeling Enterprise Cost-Benefit Data Science 98

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

JANUARY 17, 2019

It assists in successfully meeting increasingly strict compliance requirements, such as those in the General Data Protection Regulation (GDPR). A mature and sustainable data governance initiative must include data integration. And it provides a clear gauge on business performance.

Metadata 63

Metadata Data Governance Data Quality Data-driven 63

CIO Business Intelligence

JANUARY 9, 2024

He and his team have created information decks, documents, and presentations that describe the various types of AI and how they can be used and explain how and where AI and machine learning may be useful — and why it’s not the solution to all the problems they have.

IT 140

IT Risk Cost-Benefit Enterprise 140