Cloudera

JUNE 11, 2024

By leveraging an organization’s proprietary data, GenAI models can produce highly relevant and customized outputs that align with the business’s specific needs and objectives. 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

SEPTEMBER 16, 2022

With decentralized finance, users will maintain control over their assets by interacting with the ecosystem through peer-to-peer, decentralized applications (dapps). Fintech in particular is being heavily affected by big data. The financial sector receives, processes, and generates huge amounts of data every second.

Finance 130

Finance Unstructured Data Cost-Benefit Big Data 130

CIO Business Intelligence

OCTOBER 2, 2024

A “state-of-the-art” data and analytics enablement platform can vastly improve identity resolution, helping to prevent fraud. Ideally, it will link structured data like traditional offline identities with unstructured data, including behavioral information, device properties, and other factors.

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

CIO Business Intelligence

SEPTEMBER 20, 2023

And they won’t be able to interact with customers. One of the most exciting aspects of generative AI for organizations is its capacity for putting unstructured data to work, quickly culling information that thus far has been elusive through traditional machine learning techniques. For now, at least. May I help you? That’s huge.”

Insurance 131

Insurance Unstructured Data Cost-Benefit Interactive 131

Smart Data Collective

SEPTEMBER 26, 2019

For example, you can organize an employee table in a database in a structured manner to capture the employee’s details, job positions, salary, etc. Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

DataKitchen

FEBRUARY 27, 2024

Your LLM Needs a Data Journey: A Comprehensive Guide for Data Engineers The rise of Large Language Models (LLMs) such as GPT-4 marks a transformative era in artificial intelligence, heralding new possibilities and challenges in equal measure.

Data Quality 118

Data Quality Unstructured Data Testing Data-driven 118

IBM Big Data Hub

NOVEMBER 29, 2023

Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information. This helps to simplify data analysis and enable informed decision-making. Unstructured data interpretation: Unstructured data can often contain untapped insights.

Unstructured Data 84

Unstructured Data Data-driven ROI Machine Learning 84

CIO Business Intelligence

MAY 10, 2024

Each service is broken down and then categorized by its own specific set of functions into a standardized interface, enabling those services to interact with and access one another. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

IT 130

IT Unstructured Data Software Reporting 130

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Sisense

JULY 22, 2020

They hold structured data from relational databases (rows and columns), semi-structured data ( CSV , logs, XML , JSON ), unstructured data (emails, documents, PDFs), and binary data (images, audio , video). Sisense provides instant access to your cloud data warehouses.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

CIO Business Intelligence

AUGUST 18, 2022

The data warehouse requires a time-consuming extract, transform, and load (ETL) process to move data from the system of record to the data warehouse, whereupon the data would be normalized, queried, and answers obtained. Under Guadagno, the Deerfield, Ill. That’s how we got here.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

FineReport

FEBRUARY 5, 2020

Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 112

IT Data Architecture Unstructured Data Big Data 112

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.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Timo Elliott

JANUARY 22, 2019

Traditional analytics focused on structured data flowing from operational systems. Newer analytic platforms have blended more unstructured data such as text, images, and raw sensor readings into analytic workflows. Understanding and optimizing the customer experience is the bedrock of successful digital transformation.

Analytics 96

Analytics Machine Learning Unstructured Data Business Intelligence 96

Sisense

JUNE 30, 2020

Data visualization can either be static or interactive. Interactive visualizations enable users to drill down into data and extract and examine various views of the same dataset, selecting specific data points that they want to see in a visualized format. The role of visualizations in analytics.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

AWS Big Data

FEBRUARY 26, 2025

Additional resources: Empower business users with prompted reports and reader scheduling in Amazon QuickSight Amazon Q in QuickSight unifies insights from structured and unstructured data Amazon Q in QuickSight provides you with unified insights from structured and unstructured data sources through integration with Amazon Q Business.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

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

CIO Business Intelligence

JUNE 14, 2023

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

CIO Business Intelligence

JUNE 23, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 97

IT Data Architecture Unstructured Data Big Data 97

FineReport

JUNE 24, 2021

All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing. Initially, data has to be collected. Then, once it has turned the raw, unstructured data into a structured data set, it can analyze that data.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

AWS Big Data

MARCH 25, 2024

AWS Glue can interact with streaming data services such as Kinesis Data Streams and Amazon MSK for processing and transforming CDC data. This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications. versions).

Data Lake 121

Data Lake Unstructured Data Management Snapshot 121

Cloudera

JULY 26, 2021

Authorization: Define what users of internal / external organizations can access and do with the data in a fine-grained manner that ensures compliance with e.g., data obfuscation requirements introduced by industry and country specific standards for certain types of data assets such as PII.

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

Ontotext

JULY 20, 2023

Whether it’s a chatbot, a voicebot, or an enterprise search, our knowledge-based Conversational AI platform enables personalized interactions to increase customer satisfaction and improve the efficiency of businesses. When we need this data for a conversation we can use it directly with the Large Language Model.

Manufacturing 52

Manufacturing Unstructured Data Structured Data Modeling 52

Wayne Yaddow

MARCH 14, 2025

Moreover, dbt Core enables users to implement business logic directly within transformations, thereby ensuring contract validation for regulatory compliance or data quality governancesuch as confirming that all high-value transactions include approval codes or that sensitive personal data remains obscured.

Data Transformation 52

Data Transformation Testing Unstructured Data Data Quality 52

Cloudera

OCTOBER 30, 2018

Structured data from operational data stores now provides a small slice of the overall data needed to improve customer experience. IT departments previously invested in MDM and data warehousing technologies to consolidate information associated with customer profiles. Why is this important?

Unstructured Data 42

Unstructured Data Data Lake Machine Learning Interactive 42

Smarten

MAY 17, 2017

Your users can go beyond data monitoring to ‘discover’ subtle and important factors that will identify issues and patterns, and help the organization capitalize on opportunities. Traditional data visualization is static and while it may offer a choice of graphs and displays, it is not interactive beyond a point.

Visualization 40

Visualization Business Intelligence Unstructured Data Interactive 40

IBM Big Data Hub

JULY 6, 2023

Human experts determine the hierarchy of features to understand the differences between data inputs, usually requiring more structured data to learn. It can ingest unstructured data in its raw form (e.g., And online learning is a type of ML where a data scientist updates the ML model as new data becomes available.

Deep Learning 56

Deep Learning Machine Learning Unstructured Data Modeling 56

AWS Big Data

FEBRUARY 22, 2023

Data analytic challenges As an ecommerce company, Ruparupa produces a lot of data from their ecommerce website, their inventory systems, and distribution and finance applications. The data can be structured data from existing systems, and can also be unstructured or semi-structured data from their customer interactions.

Data Lake 52

Data Lake Dashboards Cost-Benefit Data Warehouse 52

Ontotext

FEBRUARY 26, 2024

RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. It compares actual price changes to expected changes based on historical data. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. Try FineReport Now 1.1 This will be elaborated on in the third part of this article.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. .

Data Warehouse 81

Data Warehouse Experimentation Dashboards Visualization 81

Jet Global

MAY 9, 2024

By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making. Here’s how a streaming data pipeline typically works: Data is ingested continuously from one or more sources, such as sensors, log files, user interactions, IoT devices, social media feeds, or other real-time data streams.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

JANUARY 7, 2025

RPA refers to software tools designed to automate repetitive, rule-based tasks by mimicking human interactions with digital systems. It operates through predefined workflows, handling structured data in tasks such as data entry, invoice processing, and report generation.

Unstructured Data 105

Unstructured Data Interactive Consulting Optimization 105

CIO Business Intelligence

MARCH 11, 2025

Enterprises have used interactive voice response (IVR) systems and early customer service chatbots for some time to automate customer interactions, says Sheldon Montiero, chief product officer and head of generative AI at technology consulting firm Publicis Sapient.

Consulting 127

Consulting Cost-Benefit Interactive ROI 127