O'Reilly on Data

JANUARY 29, 2019

In 2017, we published “ How Companies Are Putting AI to Work Through Deep Learning ,” a report based on a survey we ran aiming to help leaders better understand how organizations are applying AI through deep learning. Companies are building or evaluating solutions in foundational technologies needed to sustain success in analytics and AI.

Deep Learning 208

Deep Learning Machine Learning Data Science Metadata 208

AWS Big Data

MARCH 29, 2024

You can slice data by different dimensions like job name, see anomalies, and share reports securely across your organization. With these insights, teams have the visibility to make data integration pipelines more efficient. Select Publish new dashboard as , and enter GlueObservabilityDashboard. Choose Publish dashboard.

Metrics 104

Metrics Visualization Dashboards Interactive 104

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 88

Management Metadata Data Architecture Data Lake 88

Ontotext

FEBRUARY 23, 2023

The engines must facilitate the advanced data integration and metadata data management scenarios where an EKG is used for data fabrics or otherwise serves as a data hub between diverse data and content management systems. Need a reliable and robust RDF graph database for your use case?

Metadata 52

Metadata Publishing Optimization Testing 52

IBM Big Data Hub

MARCH 25, 2022

A data fabric is an architectural approach that enables organizations to simplify data access and data governance across a hybrid multicloud landscape for better 360-degree views of the customer and enhanced MLOps and trustworthy AI. The post What is a data fabric architecture? appeared first on Journey to AI Blog.

Metadata 114

Metadata Data Quality Data Governance Data Integration 114

AWS Big Data

MARCH 29, 2024

Our services consuming this data inherit the same resilience from Amazon MSK. If our backend ingestion services face disruptions, no event is lost, because Kafka retains all published messages. Amazon MSK enables us to tailor the data retention duration to our specific requirements, ranging from seconds to unlimited duration.

Cost-Benefit 89

Cost-Benefit Data-driven Metrics Management 89

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 113

Optimization Snapshot Metadata Cost-Benefit 113

Ontotext

JANUARY 10, 2024

And each of these gains requires data integration across business lines and divisions. Limiting growth by (data integration) complexity Most operational IT systems in an enterprise have been developed to serve a single business function and they use the simplest possible model for this. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

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

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. Data integration and cleaning.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Jet Global

FEBRUARY 23, 2024

Small teams with limited resources just cannot keep up with the demand for product content and are forced into publishing products before they are 100% buyer ready.PIM enables you to integrate supplier data faster and automate enrichment based on business rules. Publish with Ease Publishing from a PIM is easy.

Management 52

Management Sales Publishing Data Quality 52

DataKitchen

DECEMBER 20, 2020

They give data scientists tools to instantiate development sandboxes on demand. They automate the data operations pipeline and create platforms used to test and monitor data from ingestion to published charts and graphs.

Data-driven 147

Data-driven Manufacturing Data Architecture Data Analytics 147

Smarten

FEBRUARY 8, 2023

Publishing of reports to various stakeholders on a periodic basis. The success of this project is a perfect example of how Smarten’s augmented analytics, short implementation cycle, and Self-serve data preparation capabilities allowed data integration from disparate sources ensure rollout with highest ROI and decreased TCO.

Business Intelligence 52

Business Intelligence Manufacturing Sales Cost-Benefit 52

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

AWS Big Data

APRIL 28, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. For example, you can configure an Amazon EventBridge rule to invoke an AWS Lambda function to publish CloudWatch metrics every time AWS Glue jobs finish.

Optimization 94

Optimization Metrics Interactive Data Integration 94

AWS Big Data

SEPTEMBER 7, 2023

We will partition and format the server access logs with Amazon Web Services (AWS) Glue , a serverless data integration service, to generate a catalog for access logs and create dashboards for insights. Both the user data and logs buckets must be in the same AWS Region and owned by the same account.

Metadata 99

Metadata Dashboards Metrics Visualization 99

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

CIO Business Intelligence

OCTOBER 11, 2023

Enterprises are looking to AI to boost productivity and innovation, and one-third of organizations with an interest in the technology have hired or are looking for a chief AI officer, according to new research from Foundry, publisher of CIO.com.

IT 127

IT Software Testing Manufacturing 127

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

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. These tools excel at data integration, consolidating information from various financial systems (ERP, CRM, legacy) into a central hub.

Finance 52

Finance Reporting Data Transformation Optimization 52

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. Nothing…and I DO mean NOTHING…is more prominent in technology buzz today than Artificial Intelligence (AI). billion, with the market growing by 31.1%

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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. The best way to do that is to follow the FAIR principles, which are a set of guidelines on how to publish and share data with other people and systems.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

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

MARCH 27, 2024

For example, a node in an LPG with a given label does not guarantee anything about its properties and data type (because it is a string and represents no semantics). LPG lacks schema and semantics, which makes it inappropriate for publishing and sharing of data. This makes LPGs inflexible.

Modeling 69

Modeling Metadata Data Quality Enterprise 69

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

Jet Global

JUNE 17, 2021

Managing Data Integrity. Before rolling the new process out, the company needed to address data integrity, a normal stage in any new software implementation project. Following the data integrity phase, the company focused on setting up the correct processes and on rightsizing the project.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

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

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

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 data ingestion process copies the machine-readable files from the hospitals, validates the data, and keeps the validated files available for analysis.

Visualization 96

Visualization Dashboards Data-driven Gap analysis 96

AWS Big Data

MAY 4, 2023

Phase 1 implementation of this regulation, which went into effect on July 1, 2022, requires that payors publish machine-readable files publicly for each plan that they offer. Athena provides a simplified, flexible way to analyze petabytes of data. The second is a processing step, which prepares and publishes data for analysis.

Insurance 78

Insurance Publishing Cost-Benefit Data Lake 78

Ontotext

JULY 29, 2021

The second one is the Linked Open Data (LOD): a cloud of interlinked structured datasets published without centralized control across thousands of servers. In more detail, they explained that just as the hypertext Web changed how we think about the availability of documents, the Semantic Web is a radical way of thinking about data.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Jet Global

OCTOBER 28, 2021

Magnitude has become a leader in helping companies transform their data into a competitive advantage, offering self-service operational reporting and process analytics with an extensive library of customizable report templates for Oracle and SAP ERP systems.

Operational Reporting 83

Operational Reporting Finance Data-driven Reporting 83

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 131

Business Intelligence Visualization Dashboards Prescriptive Analytics 131

Jet Global

AUGUST 24, 2023

It streamlines data integration, ensures real-time access to accurate information, enhances collaboration, and provides the flexibility needed to adapt to evolving ERP systems and business requirements.

Finance 52

Finance Reporting Data Integration Risk 52

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). The authors conclude that the DEFII framework is a successful framework for integrating semantic web technologies into digital engineering.

Knowledge Discovery 52

Knowledge Discovery Broadcasting Technology Publishing 52

erwin

AUGUST 31, 2023

Reduced Data Redundancy : By eliminating data duplication, it optimizes storage and enhances data quality, reducing errors and discrepancies. Efficient Development : Accurate data models expedite database development, leading to efficient data integration, migration, and application development.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

Ontotext

SEPTEMBER 2, 2020

Ontotext has been working with clients from internationally renowned names in news such as the BBC, nationally vital wire services such as the Press Association and respected STM publishers and specialist investment information agencies. For efficient drug discovery, linked data is key.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72