KDnuggets

JUNE 23, 2023

Learn how to use large language models to extract insights from documents for analytics and ML at scale. Join this webinar and live tutorial to learn how to get started.

Structured Data 105

Structured Data Modeling Analytics 105

Analytics Vidhya

NOVEMBER 21, 2023

Introduction Vector Databases have become the go-to place for storing and indexing the representations of unstructured and structured data. These representations are the vector embeddings generated by the Embedding Models.

Deep Learning 319

Deep Learning Structured Data Modeling Analytics 319

CIO Business Intelligence

FEBRUARY 6, 2025

When youre dealing with truly complex, unstructured data like text, voice and images. Think sentiment analysis of customer reviews, summarizing lengthy documents or extracting information from medical records. Theyre also useful for dynamic situations where data and requirements are constantly changing.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Analytics Vidhya

FEBRUARY 2, 2024

Introduction In the era of big data, organizations are inundated with vast amounts of unstructured textual data. The sheer volume and diversity of information present a significant challenge in extracting insights.

Unstructured Data 305

Unstructured Data Big Data Analytics Structured Data 305

CIO Business Intelligence

APRIL 24, 2025

An example illustrates the possibilities: Imagine that an LLM receives the documentation for an API that can retrieve current stock prices. Data layer: Divided into unstructured and structured data. Service layer: Includes the services required for model operation as well as data access services.

Enterprise 118

Enterprise Sales Cost-Benefit B2B 118

CIO Business Intelligence

NOVEMBER 27, 2024

Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

CIO Business Intelligence

JANUARY 9, 2025

This required dedicated infrastructure and ideally a full MLOps pipeline (for model training, deployment and monitoring) to manage data collection, training and model updates. Today, such an ML model can be easily replaced by an LLM that uses its world knowledge in conjunction with a good prompt for document categorization.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

KDnuggets

JULY 1, 2023

Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume.

Analytics 118

Analytics Structured Data IT 118

CIO Business Intelligence

JULY 16, 2024

The second is “Where is this data?” Let’s explore some of the common data types that present challenges – and how to solve them for AI. Structured data Structured data is often the first type of data that comes to mind when people think about databases.

Unstructured Data 106

Unstructured Data Structured Data Machine Learning Enterprise 106

AWS Big Data

MAY 28, 2024

LLMs could automate the extraction and summarization of key information from these documents, enabling analysts to query the LLM and receive reliable summaries. This would allow analysts to process the documents to develop investment recommendations faster and more efficiently. This is unstructured data augmentation to the LLM.

Unstructured Data 113

Unstructured Data Data Warehouse Structured Data Testing 113

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. We use leading-edge analytics, data, and science to help clients make intelligent decisions. The document processing layer supports document ingestion and orchestration.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

AWS Big Data

OCTOBER 14, 2024

Amazon Athena provides interactive analytics service for analyzing the data in Amazon Simple Storage Service (Amazon S3). Amazon Redshift is used to analyze structured and semi-structured data across data warehouses, operational databases, and data lakes.

Metadata 99

Metadata Data Lake Modeling Data Warehouse 99

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. Grant the user role permissions for sensitive information and compliance policies.

Data Governance 120

Data Governance Unstructured Data Metadata Data Lake 120

CIO Business Intelligence

SEPTEMBER 12, 2024

Organizational data is diverse, massive in size, and exists in multiple formats (paper, images, audio, video, emails, and other types of unstructured data, as well as structured data) sprawled across locations and silos. CIOs must solve these challenges to achieve organizational AI readiness and unlock innovation.

Unstructured Data 120

Unstructured Data Data Quality Structured Data Machine Learning 120

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. The risks of ignoring end-to-end data lineage are just too great.

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

CIO Business Intelligence

SEPTEMBER 19, 2024

Alation also uses its own AI, dubbed Allie , to provide AI-assisted curation and intelligent search within Data Cloud, and to assist it in developing connectors to other data sources. We look at the entire landscape of information that an enterprise has,” Sangani said. “As That work takes a lot of machine learning and AI to accomplish.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

CIO Business Intelligence

OCTOBER 2, 2024

And the other is retrieval augmented generation (RAG) models, where pieces of data from a larger source are vectorized to allow users to “talk” to the data. For example, they can take a thousand-page document, have it ingested by the model, and then ask the model questions about it. Compliance is another important area of focus.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 144

Data mining Data-driven Statistics OLAP 144

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Clearly documents data catalog policies, rules and shares information assets. Managing a remote workforce creates new challenges and risks.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

AWS Big Data

OCTOBER 25, 2023

Text, images, audio, and videos are common examples of unstructured data. Most companies produce and consume unstructured data such as documents, emails, web pages, engagement center phone calls, and social media. It can be difficult to integrate unstructured data with structured data from existing information systems.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

CIO Business Intelligence

AUGUST 27, 2024

Infosys gained access to certain of TriZetto’s closely guarded, proprietary software offerings, and related technical documentation, under the guise of NDAAs that it executed with TriZetto for the limited purpose of equipping Infosys to complete work for certain Infosys clients,” the lawsuit said.

Software 112

Software Testing Structured Data Enterprise 112

datapine

MAY 27, 2020

It’s possible to write an analytical report using a spreadsheet, whitepaper, or a simple Word document or file. It is possible to structure data across a broad range of spreadsheets, but the final result can be more confusing than productive. Your Chance: Want to build your own analytical reports completely free?

Reporting 245

Reporting Analytics Dashboards Sales 245

Cloudera

JUNE 11, 2024

Structured and Unstructured Data: A Treasure Trove of Insights Enterprise data encompasses a wide array of types, falling mainly into two categories: structured and unstructured. Structured data is highly organized and formatted in a way that makes it easily searchable in databases and data warehouses.

Enterprise 93

Enterprise Unstructured Data Contextual Data Data-driven 93

Smart Data Collective

JANUARY 25, 2023

Instead of drawing in the sheer speed of production that we’re encountering, many businesses have moved into effective data management strategies. Of all of those tactics, storing structured data in databases is by far one of the most effective. From there, business intelligence and insight will become a breeze.

Strategy 120

Strategy Data Collection Interactive Management 120

CIO Business Intelligence

MARCH 24, 2023

It must be clear to all participants and auditors how and when data-related decisions and controls were introduced into the processes. Data-related decisions, processes, and controls subject to data governance must be auditable. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

APRIL 2, 2024

What we hear from customers Organizations are adopting enterprise-wide data discovery and governance solutions like Amazon DataZone to unlock the value from petabytes, and even exabytes, of data spread across multiple departments, services, on-premises databases, and third-party sources (such as partner solutions and public datasets).

Metadata 109

Metadata Metrics Data-driven Contextual Data 109

Juice Analytics

MARCH 27, 2021

These options offer more powerful capabilities but may not come with the traditional joys of a PowerPoint document (five solutions below). Finally, if you are a developer, there are a couple technical solutions that allow you to construction the data integration workflows you need. Try Juicebox -- It's Free!

Reporting 122

Reporting Visualization Interactive Data-driven 122

O'Reilly on Data

DECEMBER 19, 2018

For example, Jacek Laskowski describes how to extract a resilient distributed data set (RDD) lineage graph that describes a series of Spark transformations. This graph could be committed to a lineage tracking system, or even a more traditional version-control system, to document transformations that have been applied to the data.

Machine Learning 279

Machine Learning Software Metadata Testing 279

CIO Business Intelligence

SEPTEMBER 12, 2024

While the use of unstructured data to solve other problems has expanded over the past several years, many organizations still shy away from applying AI to unstructured data that’s born digital or stored on paper or other media. Unlike structured data, which fits neatly into databases and tables, etc.

Unstructured Data 112

Unstructured Data Deep Learning Metadata Structured Data 112

AWS Big Data

JANUARY 6, 2025

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. Follow the documentation to clean up the Google resources. Enter delete to delete the flow.

Analytics 98

Analytics Data Warehouse Big Data Metrics 98

CIO Business Intelligence

DECEMBER 13, 2023

Applications such as financial forecasting and customer relationship management brought tremendous benefits to early adopters, even though capabilities were constrained by the structured nature of the data they processed. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

Ontotext

OCTOBER 14, 2021

For the purposes of this article, you just need to know the following: A graph is a method of storing and modeling data that uniquely captures the relationships between data. A knowledge graph uses this format to integrate data from different sources while enriching it with metadata that documents collective knowledge about the data.

Reporting 98

Reporting Structured Data Data Warehouse Metadata 98

Cloudera

SEPTEMBER 26, 2024

However, the performance of RAG applications is far from perfect, prompting innovations like integrating knowledge graphs, which structure data into interconnected entities and relationships. The chatbot’s responses are improved by providing it with context from an internal knowledge base, created from documents uploaded by users.

Machine Learning 77

Machine Learning Structured Data Optimization Enterprise 77

Smart Data Collective

JULY 1, 2023

The resulting structured data is then used to train a machine learning algorithm. Improving annotation quality is crucial for various tasks, including data labeling for machine learning models, document categorization, sentiment analysis, and more. Read and learn some essential tips for enhancing your annotation quality.

Machine Learning 93

Machine Learning Metrics Uncertainty Deep Learning 93

AWS Big Data

JUNE 19, 2024

SUPER data type columns in Amazon Redshift contain semi-structured data like JSON documents. Previously, data masking in Amazon Redshift only worked with regular table columns, but now you can apply masking policies specifically to elements within SUPER columns.

Data Warehouse 112

Data Warehouse Testing Sales Structured Data 112

CIO Business Intelligence

JULY 28, 2023

To date, JLL has been developing classic AI models using cleaned and structured data in table format, Morin says. Currently, the company’s IT experts train algorithms to extract the most structured data on its leases; this data is then fed into the AI model. Generative AI and LLMs are changing all that.

Structured Data 98

Structured Data Data-driven Software Modeling 98

AWS Big Data

MARCH 25, 2024

A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base. For example, Amazon DynamoDB provides a feature for streaming CDC data to Amazon DynamoDB Streams or Kinesis Data Streams.

Data Lake 115

Data Lake Unstructured Data Management Snapshot 115