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 255

Machine Learning Data Quality Statistics Modeling 255

Ontotext

JANUARY 10, 2024

In Computer Science, we are trained to use the Okham razor – the simplest model of reality that can get the job done is the best one. And each of these gains requires data integration across business lines and divisions. We call this the Bad Data Tax. So, how to manage this complexity better?

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Smarten

APRIL 19, 2024

The use of Generative AI, LLM and products such as ChatGPT capabilities has been applied to all kinds of industries, from publishing and research to targeted marketing and healthcare. OpenAI – Azure OpenAI as the foundational entity for creating GPT models and is based on Large Language Models (LLM). in next several years.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

AWS Big Data

APRIL 17, 2024

In this post, we discuss how the reimagined data flow works with OR1 instances and how it can provide high indexing throughput and durability using a new physical replication protocol. We also dive deep into some of the challenges we solved to maintain correctness and data integrity.

Optimization 115

Optimization Snapshot Metadata Cost-Benefit 115

Jet Global

SEPTEMBER 22, 2022

Integrating the ability to quickly evaluate a wide range of scenarios with multiple variables into the planning process is essential to this. What if modeling gives you the ability to not just have a plan A, but also to evaluate plan B, plan C, plan D, and more. The Right Software Can Make “What If” Modeling Easy. Get a Demo.

Modeling 52

Modeling Forecasting Finance Uncertainty 52

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. The technical debt keeps increasing and everything around working with data gets harder. Data and cloud strategy must align.

Data Architecture 92

Data Architecture Data Integration IoT Strategy 92

IBM Big Data Hub

APRIL 27, 2022

The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale. Read: The first capability of a data fabric is a semantic knowledge data catalog, but what are the other 5 core capabilities of a data fabric? 11 May 2021. .

Management 81

Management Metadata Data Architecture Data Lake 81

Ontotext

JANUARY 26, 2023

published as a special topic article in AI magazine, Volume 43, Issue 1 , Spring 2022. The paper introduces KnowWhereGraph (KWG) as a solution to the ever-growing challenge of integrating heterogeneous data and building services on top of already existing open data. web service/API interfaces and communication protocols).

Interactive 52

Interactive Metadata Data Integration Data-driven 52

DataKitchen

APRIL 28, 2021

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Gartner included data fabrics in their top ten trends for data and analytics in 2019.

Statistics 246

Statistics Optimization Technology Data Analytics 246

Ontotext

OCTOBER 19, 2023

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. With the recent growth in popularity of Large Language Models (LLMs), we also anticipate that they can replace some curation tools.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

Ontotext

MARCH 24, 2021

For these reasons, publishing the data related to elections is obligatory for all EU member states under Directive 2003/98/EC on the re-use of public sector information and the Bulgarian Central Elections Committee (CEC) has released a complete export of every election database since 2011. Easily accessible linked open elections data.

Statistics 142

Statistics Data Processing Publishing Metrics 142

Jet Global

MAY 6, 2024

Thorough data preparation and control act as the foundation, allowing finance teams to leverage the full power of Oracle’s AI and transform their financial operations, now or in the future. Additionally, Oracle Cloud ERP’s AI models might have specific data format requirements.

Finance 52

Finance Reporting Data Transformation Optimization 52

AWS Big Data

NOVEMBER 29, 2023

We have seen a strong customer demand to expand its scope to cloud-based data lakes because data lakes are increasingly the enterprise solution for large-scale data initiatives due to their power and capabilities. The team uses dbt-glue to build a transformed gold model optimized for business intelligence (BI).

Data Lake 105

Data Lake Management Metrics Data Warehouse 105

Ontotext

JULY 29, 2021

The Semantic Web started in the late 90’s as a fascinating vision for a web of data, which is easy to interpret by both humans and machines. One of its pillars are ontologies that represent explicit formal conceptual models, used to describe semantically both unstructured content and databases.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

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

Jet Global

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset. Publish with Ease Publishing from a PIM is easy.

Management 52

Management Sales Publishing Data Quality 52

Smart Data Collective

OCTOBER 5, 2020

Some fantastic components of Power BI include: Power Query lets you merge data from different sources Power Pivot aids in data modelling for creating data models Power View constructs interactive charts, graphs and maps. Data Processing, Data Integration, and Data Presenting form the nucleus of Power BI.

Interactive 91

Interactive Visualization Dashboards Business Intelligence 91

Ontotext

JULY 13, 2023

Knowledge graphs have greatly helped to successfully enhance business-critical enterprise applications, especially those where high performance tagging and agile data integration is needed. The customer and employee experience when using an application is key for companies to have a real impact on their processes and results.

Enterprise 52

Enterprise Metadata Digital Transformation Software 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

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

Andrew White

OCTOBER 22, 2021

Monetization/Link data to outcome (value pyramid) business value of data/business impact 20. Business Information Model/Arch compared to classic enterprise data model and how to relate it to catalogs and marketplaces and enterprise data models 13. Data Management Infrastructure/Data Fabric 5.

IT 52

IT Data Lake Strategy Data Science 52

Jedox

SEPTEMBER 3, 2020

Many pre-crisis business assumptions and planning models became outmoded overnight. Build for broad and deep data integration. Old pre-crisis planning took historic company data like aggregated product sales and applied run-rates. This post was first published on FutureCFO.

Uncertainty 81

Uncertainty Forecasting Digital Transformation Risk 81

IBM Big Data Hub

DECEMBER 7, 2023

API-led connectivity API-led connectivity is a modern methodology to integrate applications and data through reusable APIs. It replaces the complex point-to-point integration style to enable a more flexible, scalable and agile architecture. Both are key components of the IBM iPaaS solution.

Cost-Benefit 73

Cost-Benefit Software Data-driven Management 73

Jedox

APRIL 23, 2020

This includes encompassing territory planning, quota planning, calculation of sales compensation, publishing commission statements, sales forecasting, commission accruals, management reports and analytics. Fixed Data Model. The customer is required to align the processes and data with the tool. Rigid Data Integration.

Sales 52

Sales Management B2B Dashboards 52

Smart Data Collective

NOVEMBER 24, 2020

Features: intuitive visualizations on-premise and cloud report sharing dashboard and report publishing to the web indicators of data patterns integration with third-party services (Salesforce, Google Analytics, Zendesk, Azure, Mailchimp, etc.). Yet, there are promising rival products, worth attention. SAP Lumira.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

Ontotext

AUGUST 3, 2023

The paper discusses the use of ontologies and semantic web technologies for digital engineering and introduces the digital engineering framework for integration and interoperability (DEFII). As a potential solution, the paper proposes a graph data structure that captures system-specific data and connects it to domain knowledge.

Knowledge Discovery 52

Knowledge Discovery Broadcasting Technology Publishing 52

DataKitchen

OCTOBER 25, 2022

It’s because it’s a hard thing to accomplish when there are so many teams, locales, data sources, pipelines, dependencies, data transformations, models, visualizations, tests, internal customers, and external customers. That data then fills several database tables. It’s not just a fear of change.

Testing 130

Testing Data-driven Visualization Dashboards 130

Ontotext

DECEMBER 30, 2022

We have delivered technology and solutions to global leaders across several sectors: publishing (FT, Elsevier), financial services (S&P), pharma (AstraZeneca), government (UK Parliament) and others. However, developing these models from scratch for each and every solution can be slow, expensive and risky.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

We have delivered technology and solutions to global leaders across several sectors: publishing (FT, Elsevier), financial services (S&P), pharma (AstraZeneca), government (UK Parliament) and others. We are in the process of auditing the improved results of GraphDB on the knowledge graph centric Semantic Publishing Benchmark (SPB).

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

IBM Big Data Hub

AUGUST 7, 2023

Orion combines these capabilities with other blockchain properties, offering tamper evidence, provenance, data lineage, authenticity and non-repudiation, all while utilizing a standard data model and transactional APIs. This additional layer of security ensures data integrity, while reinforcing trust and reliability.

Data Governance 64

Data Governance Manufacturing Interactive IoT 64

AWS Big Data

OCTOBER 11, 2023

Under the Transparency in Coverage (TCR) rule , hospitals and payors to publish their pricing data in a machine-readable format. The serverless architecture features auto scaling, high availability, and a pay-as-you-go billing model to increase agility and optimize costs.

Visualization 99

Visualization Dashboards Data-driven Gap analysis 99

Andrew White

DECEMBER 4, 2019

If I am moved to write research about a vendor, I’ll write it and publish it behind our pay wall, in the assumption the advice is valuable. This acquisition followed another with Mulesoft, a data integration vendor. Analytics offerings are valuable; data integration tools are too.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

IBM Big Data Hub

JUNE 28, 2023

Processing terabytes or even petabytes of increasing complex omics data generated by NGS platforms has necessitated development of omics informatics. The next step in the data journey is performing analytics on the ingested data and streamlining the output in interoperability-ready formats with reproducible and scalable pipelines.

Informatics 63

Informatics Consulting Cost-Benefit Data Architecture 63

Smart Data Collective

OCTOBER 13, 2021

As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields).

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

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. IT teams need the ability to smoothly generate hundreds of mappings and ETL jobs. Provides blueprints anyone in the organization can use.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

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

Jet Global

OCTOBER 24, 2023

Unable to collaborate effectively, your team will struggle to promptly respond to leadership needs and custom data queries required to navigate your business through troubled waters. Limited data accessibility: Restricted data access obstructs comprehensive reporting and limits visibility into business processes.

Reporting 52

Reporting Operational Reporting Finance Enterprise 52