Analytics Vidhya

JULY 29, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon [link] g Introduction Machine Learning is a hot topic nowadays. The post Construct various types of Bar Race Charts with Plotly appeared first on Analytics Vidhya.

Machine Learning 296

Machine Learning Data Science Publishing Analytics 296

CIO Business Intelligence

APRIL 26, 2024

OneTru’s AI- and ML-based knowledge graph features, for example, will enable customers to break down data previously stored in siloes and apply generative AI to move beyond “traditional identity graphs that are limited to explicit data and deterministic linking,” according to the company.

Modeling 101

Modeling IT Machine Learning Data Governance 101

Analytics Vidhya

JUNE 16, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon source: [link] End-to-End Computer Vision Application deals with all the required. The post End-to-End Computer Vision application with Fastai appeared first on Analytics Vidhya.

Data Science 302

Data Science Publishing Analytics Structured Data 302

O'Reilly on Data

OCTOBER 17, 2019

Below you’ll find links to highlights from the event. Watch “ Building and deploying AI applications and systems at scale “ The quest for high-quality data. Ihab Ilyas describes the HoloClean framework, a prediction engine for structured data with direct applications in detecting and repairing data errors.

Machine Learning 144

Machine Learning Structured Data 144

Ontotext

OCTOBER 19, 2023

In order to create an interoperable health data record, we should be able to integrate personal health data (which comes in various formats and structures and varying quality) into a shareable format with other systems and individuals. 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

Ontotext

JULY 24, 2023

Start with Structured Data The ideal way to experiment with LLM functionality is to focus on structured data at the start. Cleaning, refining, and aligning your data to shared meaning is the right strategic approach. Invest in a ‘prompt engineer’ that can link the LLM to other data via your organization’s APIs.

Modeling 98

Modeling Management Structured Data Data Architecture 98

Rocket-Powered Data Science

JULY 7, 2019

Such approaches can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full scale modeling, efficient data collection, management, and data mining.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Ontotext

MAY 26, 2021

So, to help AI systems make sense of all this ambiguity, we use data linking techniques. They identify, match and merge data records referring to the same or a similar entity in multiple datasets and also identify entities that seem to be the same or similar but are not. How does the Gold Standard help data linking?

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Ontotext

JULY 26, 2019

Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. Read more at: [link].

Technology 75

Technology Enterprise Data Integration Management 75

BizAcuity

OCTOBER 21, 2019

– into structured data to develop actionable managerial insights to enhance their operations. . . Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output. .

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Rocket-Powered Data Science

JULY 19, 2023

The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data. The ease with which such structured data can be stored, understood, indexed, searched, accessed, and incorporated into business models could explain this high percentage.

Data-driven 186

Data-driven Enterprise Analytics Machine Learning 186

Ontotext

MAY 25, 2023

The Master class that Peio delivered covered Reconciliation, Text Analytics and Virtualization with Knowledge Graphs, using GraphDB and Text Analysis services tailored explicitly for tasks demanding intricate domain knowledge and linking documents to reference or master data.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

Andrew White

MAY 28, 2020

In many places phones are not linked to a person 1-1 like I might think of them. The result was a research paper that heralded the apparent failure of big data. First, this is not really big data, even six years ago. It’s just a lot of well known structured data. This is of course so wrong on many levels.

Data-driven 69

Data-driven Big Data Structured Data Visualization 69

Ontotext

OCTOBER 12, 2023

LLMs] call into question a fundamental tenet of Data Management: that in order to address non-trivial information needs, the first step is to explicitly structure data in order to lift them from the ambiguous swamp of our human language.

Modeling 75

Modeling Recreation/Entertainment Data Processing Metadata 75

Cloudera

SEPTEMBER 17, 2020

They were not able to quickly and easily query and analyze huge amounts of data as required. They also needed to combine text or other unstructured data with structured data and visualize the results in the same dashboards. You can link dashboards and have them depend on each other.

Experimentation 80

Experimentation Data Warehouse Dashboards Visualization 80

Ontotext

JULY 26, 2019

Whether you refer to the use of semantic technology as Linked Data technology or smart data management technology, these concepts boil down to connectivity. Connectivity in the sense of connecting data from different sources and assigning these data additional machine-readable meaning. Read more at: [link].

Technology 40

Technology Data Integration Enterprise Structured Data 40

Ontotext

MAY 30, 2019

Would Johnny be better off if the data to be transferred was Linked Data? Had Johny known and used semantic technology, and more specifically Linked Data, to “transport” tons of bits of information, would he have been better off as a data carrier? A Headful of Linked Data. Let’s find out.

Cost-Benefit 87

Cost-Benefit Technology Big Data Metadata 87

BizAcuity

OCTOBER 21, 2019

into structured data to develop actionable managerial insights to enhance their operations. Text mining usually involves the process of structuring the input text, deriving patterns within the structured data, and finally evaluation and interpretation of the output.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Ontotext

MAY 30, 2019

In this article, we are bringing science fiction to the semantic technology (and data management) talk to shed some light on three common data challenges: the storage, retrieval and security of information. We will talk through these from the perspective of Linked Data (and cyberpunk). A Headful of Linked Data.

Cost-Benefit 75

Cost-Benefit Technology Big Data Metadata 75

CIO Business Intelligence

APRIL 4, 2024

“Make sure the data you have is discoverable by AI systems, which might mean building an enriched catalog using generative AI or using it to build an ontology on top of structured data,” he says. “In You can use generative AI to auto build a semantic layer on top of your data.

Enterprise 133

Enterprise Cost-Benefit Forecasting Strategy 133

AWS Big Data

APRIL 20, 2023

Customers use Amazon Redshift to run their business-critical analytics on petabytes of structured and semi-structured data. Apache Spark enables you to build applications in a variety of languages, such as Java, Scala, and Python, by accessing the data in your Amazon Redshift data warehouse. enableHiveSupport().getOrCreate()

Data Lake 74

Data Lake Data Warehouse Sales Data-driven 74

Cloudera

DECEMBER 11, 2020

It established a data governance framework within its enterprise data lake. Powered and supported by Cloudera, this framework brings together disparate data sources, combining internal data with public data, and structured data with unstructured data. We’d love to see your entry!

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

FineReport

MARCH 7, 2024

However, due to regulatory controls on sensitive data like phone numbers and technical challenges in cross-platform integration of Internet and mobile reporting data, our current matching rates are relatively low, reaching around 20% in ideal scenarios, excluding telecom data.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Ontotext

JUNE 22, 2023

All derived facts can be further put into context with structured data, which improves data quality and presents researchers with clear evidence and provenance for all insights Then, Ontotext’s Target Discovery provides deeper insights into the data stored in this highly-interlinked knowledge graph, where long sequences of relations can be mined.

Metrics 52

Metrics Statistics Visualization Metadata 52

AWS Big Data

AUGUST 2, 2023

The workflow includes the following steps: GitHub webhook events stream data to both Amazon S3 and OpenSearch Service, facilitating real-time data analysis. A Lambda function connects to an API Gateway REST API, processing and structuring the received payloads.

Visualization 77

Visualization Insurance Cost-Benefit Finance 77

Jet Global

OCTOBER 30, 2020

Because the master customer table stores the customer name and a separate “orders” table stores the order information, the statement needs to include information about the “link” between those two tables. What are unstructured data? First, let’s consider what “structured” data looks like: CustomerID. CustomerName.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

BizAcuity

MARCH 29, 2019

The main reasons why customers perceive the cloud as an advantage for Data Lakes are better security, faster deployment time, better availability, frequent feature and functionality updates, more elasticity, better geographic coverage, and costs linked to actual utilization.

Data Lake 102

Data Lake Unstructured Data Cost-Benefit Data Quality 102

Ontotext

JANUARY 6, 2021

A knowledge graph can be used as a database because it structures data that can be queried such as through a query language like SPARQL. Performing significantly higher score in the enterprise level entity disambiguation tasks, which enables new types of automatic data and content processing.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

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. Linked Data, subscriptions, purchased datasets, etc.).

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily.

Data Lake 68

Data Lake Metadata Unstructured Data Management 68

DataRobot

APRIL 19, 2021

But for more complex business decisions, including those that use less structured data, we have artificial intelligence systems. Data scientists train the algorithms using datasets that contain curated learning examples. Apply data storytelling to contextualize model insights.

Machine Learning 52

Machine Learning Visualization Data-driven Data Science 52

Jet Global

MARCH 2, 2021

To further manipulate the data, users must export the PDFto Excel, which breaks the link to the live Yardi data. That’s because modern BI tools were not designed to work with the unique challenges of finance data. YSR’s drill-down capabilities are limited to other screen-based reports.

Reporting 98

Reporting Slice and Dice Finance Operational Reporting 98

CDW Research Hub

JULY 31, 2019

For instance, a level 1 travel bot can provide a link for you to book travel. Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. Now let’s skaffold our application by cloning the starter pack provided by Rasa: git clone [link] travel-bot.

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Ontotext

FEBRUARY 26, 2024

From a technological perspective, RED combines a sophisticated knowledge graph with large language models (LLM) for improved natural language processing (NLP), data integration, search and information discovery, built on top of the metaphactory platform. What they cannot do well is entity linking.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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. Schema.org and Linked Open Data are just two incarnations of the Semantic Web vision. Weaving the Semantic Web with Semantic Annotations and Linked Open Data.

Enterprise 124

Enterprise Metadata Knowledge Discovery Management 124

Ontotext

MARCH 22, 2024

Structured data = better insights The extracted events conform to a structure defined by the event schema. We also store the raw texts in the same knowledge graph and link them to the corresponding events extracted from them. Unlike RED, EDNA is not yet integrated with an entity linking solution.

Modeling 59

Modeling Metadata Structured Data Risk 59

Ontotext

OCTOBER 14, 2021

Investment firms, including one of Ontotext’s clients, spend enormous sums every year buying data from brokers, while also producing original analyses and relying on coverage from news media, especially in regions where raw numbers are harder to find. They mimic the way humans actually think, linking concepts via relationships.

Reporting 98

Reporting Structured Data Metadata Data Warehouse 98