Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Ontotext

OCTOBER 12, 2023

Did you know that, if you add “take a deep breath” to a prompt, chances are you will get more accurate results from Large Language Models (LLMs)? Do Knowledge Graphs Dream of Large Language Models? I didn’t either. He shared the need for more research at the intersection of LLMs and knowledge graphs.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

Ontotext

MARCH 13, 2024

We envisioned harnessing the power of our products to elevate our entire content publishing process, thereby facilitating in-depth knowledge exploration. OTKG models information about Ontotext, combined with content produced by different teams inside the organization. What is OTKG?

Marketing 72

Marketing Knowledge Discovery Metadata Data-driven 72

CIO Business Intelligence

MARCH 6, 2024

Generally, software providers publish a beta version of a feature for enterprises to try and weed out bugs before making it generally available to any willing enterprise customer. While rebranding the Studio platform, Salesforce has also rebranded its Skills Builder feature to Copilot Builder, which is in beta or public preview.

IT 121

IT Metadata Interactive Enterprise 121

Rocket-Powered Data Science

MARCH 10, 2020

In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Foreword for the book. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

O'Reilly on Data

DECEMBER 12, 2023

If the output of a model can’t be owned by a human, who (or what) is responsible if that output infringes existing copyright? In an article in The New Yorker , Jaron Lanier introduces the idea of data dignity, which implicitly distinguishes between training a model and generating output using a model.

Modeling 253

Modeling Software Sales Statistics 253

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. The AIgent was built with BERT, Google’s state-of-the-art language model.

Modeling 59

Modeling Metadata Publishing Sales 59

AWS Big Data

JULY 14, 2023

Defining and capturing a business capability model If an enterprise doesn’t have a system to capture the business capability model, consider defining and finding a way to capture the model for better insight and visibility, and then map it with digital assets like APIs. It keeps evolving with business requirements and usage.

Modeling 67

Modeling Visualization Reporting Measurement 67

Ontotext

JUNE 27, 2019

It provides the core infrastructure for solutions where modeling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical. GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management. Choose The Best RDF Database for Metadata Management.

Metadata 40

Metadata Management Enterprise Optimization 40

IBM Big Data Hub

JANUARY 3, 2024

In 2020, the National Institute for Health (NIH) published a report stating that Black Americans died from COVID-19 at higher rates than White Americans, even though they make up a smaller percentage of the population. Empower domain experts to curate and maintain trusted sources of data that are used to train models.

Metadata 82

Metadata Modeling Testing Manufacturing 82

Ontotext

JUNE 27, 2019

For example, it’s data generated as a result of text mining algorithms that includes document metadata attributes and annotations with links to the first type of information. It sends requests to MongoDB queries and then transforms the extracted data to an RDF model. Choose The Best RDF Database for Metadata Management.

Metadata 40

Metadata Management Optimization Enterprise 40

erwin

JUNE 22, 2020

As the 80/20 rule suggests, getting through hundreds, or perhaps thousands of individual business terms using this one-hour meeting model can take … a … long … time. Now that pulling stakeholders into a room has been disrupted … what if we could use this as 40 opportunities to update the metadata PER DAY?

Metadata 105

Metadata Data Governance Digital Transformation Measurement 105

IBM Big Data Hub

DECEMBER 4, 2023

The Board recently published its point of view on foundation models addressing the risks that generative AI poses. Its toolkit automates risk management, monitors models for bias and drift, captures model metadata and facilitates collaborative, organization-wide compliance.

Consulting 85

Consulting Risk Metadata Risk Management 85

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. That defining data is called metadata , which is data that describes data. From DCAM To Data Catalog.

Risk Management 52

Risk Management Risk Management Metadata 52

Ontotext

NOVEMBER 4, 2021

Given all the advantages of the RDF model regarding enterprise data management, one no longer has good arguments why to bother with LPG at all. These models originate from different use cases: distributed knowledge representation and open data publishing on the web vs graph analytics designed to be as easy to start with as possible.

Metadata 98

Metadata Visualization Modeling Enterprise 98

erwin

JULY 12, 2019

Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage. Activating their metadata to drive agile data preparation and governance through integrated data glossaries and dictionaries that associate policies to enable stakeholder data literacy.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Alation

MARCH 14, 2023

This was confirmed by the UK Ministry of Defence last September when it published its Data Strategy for Defence , which for the first time provided a clear vision and guidance for defence sector companies for gathering, collating and harnessing data. A centralised platform is therefore critical.

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

Ontotext

FEBRUARY 1, 2024

We as a taxonomy community are facing rapid technological change and grappling with where our discipline fits into a world captivated by ChatGPT and other generative models. The challenge of complexity Knowledge models for taxonomy have responded to an increasing need for sophistication and expressiveness.

Enterprise 59

Enterprise Management Metadata Modeling 59

Ontotext

NOVEMBER 16, 2023

Domains can ingest operational data, build analytical data models as data products, and publish them with data contracts to serve other domains’ data needs. A data product is the node on the mesh that encapsulates code, data, metadata, and infrastructure. What Is a Data Product and Who Owns Them?

Metadata 52

Metadata Data-driven Data Quality Data Architecture 52

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications.

Cost-Benefit 88

Cost-Benefit Visualization Modeling Machine Learning 88

O'Reilly on Data

MARCH 31, 2020

Instead of writing code with hard-coded algorithms and rules that always behave in a predictable manner, ML engineers collect a large number of examples of input and output pairs and use them as training data for their models. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

Management 332

Management Machine Learning Experimentation Metrics 332

Ontotext

DECEMBER 16, 2021

Many rich sources of information in the medical world are written documents with poor quality metadata. NLP models trained on collections of terms and concepts, like a knowledge graph, are better able to sort through documents to extract information. That information enhances the graph, which improves the NLP model.

Metadata 98

Metadata Reporting Unstructured Data Risk 98

Ontotext

JULY 13, 2023

Knowledge graphs allow organizations to enrich it with semantic metadata, making it ready to be used across teams and enterprise systems. Semantic Web Company’s PoolParty Semantic Suite allows you to model your business domain through controlled vocabularies and build rich relationships between them to provide more context to your data.

Enterprise 52

Enterprise Metadata Digital Transformation Software 52

CIO Business Intelligence

FEBRUARY 28, 2023

Digital storytelling To entice a technical partner to build the digital site, the ODSE published an RFP and received 15 qualified IT specialists that wanted to take on the immense task of digitally recreating a multifloor museum.

Metadata 98

Metadata Recreation/Entertainment Cost-Benefit Technology 98

erwin

JANUARY 24, 2019

Often these enterprises are heavily regulated, so they need a well-defined data integration model that helps avoid data discrepancies and removes barriers to enterprise business intelligence and other meaningful use. Governing metadata. The 100-percent metadata-driven approach is critical to creating reliable and consistent CATs.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

Ontotext

JANUARY 26, 2023

published as a special topic article in AI magazine, Volume 43, Issue 1 , Spring 2022. The catalog stores the asset’s metadata in RDF. This allows keeping a well-defined representation of the metadata of each asset and enables using a SPARQL endpoint to query it. web service/API interfaces and communication protocols).

Interactive 52

Interactive Metadata Data Integration Data-driven 52

AWS Big Data

MARCH 7, 2023

Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources. Also, datasets are accessed for ML, data exporting, and publishing needs.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

TDAN

APRIL 4, 2023

Why would Technics Publications publish a book outside its specialty of data management? We published Graham Witt’s Technical Writing for Quality for two reasons. First, Graham is a world-renowned data modeler and the author of Data Modeling for Quality, and therefore many of his examples are in the field of data management.

Publishing 52

Publishing Modeling Management Data Architecture 52

Ontotext

FEBRUARY 14, 2024

It is a demonstrator designed to showcase a field in which Ontotext has built a number of solutions applying semantic technology to enhance publishing content and editorial workflows. CEEL is an end-to-end transformer-based model that includes mention detection and uses entity types and entity descriptions to perform entity linking.

Cost-Benefit 52

Cost-Benefit Modeling Metadata Optimization 52

Ontotext

JULY 14, 2021

We’ve worked with some of the most knowledge intensive enterprises in Financial Services, Publishing, Healthcare, Pharma, Industry and the Public sector. They try to model everything, which is aiming too high at the start of a project. As a result, we know a lot about what our customers’ needs and pain points are.

Management 52

Management Metadata Cost-Benefit Enterprise 52

Cloudera

SEPTEMBER 29, 2022

Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. The data product is not just the data itself, but a bunch of metadata that surrounds it — the simple stuff like schema is a given. The data itself is then treated as a product.

Data Architecture 73

Data Architecture Metadata Data Warehouse Sales 73

Analytics Vidhya

JANUARY 27, 2022

This article was published as a part of the Data Science Blogathon. A centralized location for research and production teams to govern models and experiments by storing metadata throughout the ML model lifecycle. A Metadata Store for MLOps appeared first on Analytics Vidhya. Keeping track of […].

Metadata 143

Metadata Machine Learning Data Science Publishing 143

AWS Big Data

MAY 4, 2023

After deployment, the user will have access to a Jupyter notebook, where they can interact with two datasets from ASDI on AWS: Coupled Model Intercomparison Project 6 (CMIP6) and ECMWF ERA5 Reanalysis. Solution overview Each day, the UK Met Office produces up to 300 TB of weather and climate data, a portion of which is published to ASDI.

Data Processing 90

Data Processing Metadata Informatics Interactive 90

Ontotext

FEBRUARY 12, 2024

Ensure a successful implementation by simplifying the access, use, and publishing of data products. It’s also critical to advocate a smooth culture change because data mesh involves shifting from thinking about data as tables to data as a combination of multiple elements, such as code, infrastructure, and metadata.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

Ontotext

DECEMBER 16, 2020

In its third generation, Ontotext Platform enables organizations to build, use and evolve knowledge graphs as a hub for data, metadata and content. GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs. Crafting a Knowledge Graph: The Semantic Data Modeling Way.

Metadata 52

Metadata Unstructured Data Visualization Enterprise 52

Ontotext

NOVEMBER 22, 2020

Semantic Objects and the Semantic Objects Modeling Language (SOML) is a simple way to describe business objects or domain objects. The Platform is able to generate the initial Semantic Objects model, which can be modified and extended by the business user without having to work directly with the underlying knowledge graphs.

Metadata 72

Metadata Cost-Benefit Unstructured Data Technology 72

AWS Big Data

MARCH 13, 2024

Developers can use the support in Amazon Location Service for publishing device position updates to Amazon EventBridge to build a near-real-time data pipeline that stores locations of tracked assets in Amazon Simple Storage Service (Amazon S3). In this model, the Lambda function is invoked for each incoming event. Choose Run.

Analytics 90

Analytics IoT Metadata Internet of Things 90