CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 107

Data Lake Unstructured Data Data Warehouse Data Quality 107

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 87

Unstructured Data Data-driven ROI Machine Learning 87

CIO Business Intelligence

JUNE 14, 2023

When it comes to true economies of scale, a centralized approach to technology via a single platform often outperforms a series of tools. Enterprises can handle much higher data volumes on a unified platform spanning multiple use cases with the scalability to handle the storage and processing of large volumes of data – far beyond petabytes.

Unstructured Data 62

Unstructured Data IT Manufacturing Visualization 62

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 110

IT Data Architecture Unstructured Data Big Data 110

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. . The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

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 83

IT Data Architecture Unstructured Data Big Data 83

Jet Global

NOVEMBER 5, 2020

Data lakes are not a mature technology. They are designed for enormous volumes of information, including semi-structured and unstructured data. Unstructured data could include things like social media posts, online reviews, and comments recorded by a customer service rep, for example.

Data Lake 98

Data Lake OLAP Data Warehouse Unstructured Data 98

Sisense

JULY 23, 2021

To this end, the IOC set up the IKL unit within its technology and information department. This means Chris and his team are tracking things like occupancy numbers and traffic volumes, as well as the use of certain technologies in those spaces. “We This analytics engine will process both structured and unstructured data. “We

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Laminar Security

AUGUST 21, 2023

As we hit 2023, Gartner’s Hype Cycle for Data Security sheds light on the latest advancements and technologies that can bolster data security including data security posture management (DSPM). Convergence of these technologies will make processes more effective.

Management 40

Management Risk Unstructured Data Data Strategy 40

Jet Global

OCTOBER 30, 2020

“Data lake” is a generic term that refers to a fairly new development in the world of big data analytics. Data lakes are oriented toward unstructured data and artificial intelligence. What are unstructured data? First, let’s consider what “structured” data looks like: CustomerID.

Data Lake 52

Data Lake Unstructured Data Reporting Finance 52

Smart Data Collective

SEPTEMBER 26, 2019

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Unstructured. Unstructured data lacks a specific format or structure.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

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. RED answers key questions such as: “What happened?”, “Who was involved?”,

Data-driven 59

Data-driven Risk Modeling Risk Management 59

BizAcuity

OCTOBER 21, 2019

Text analytics helps to draw the insights from the unstructured data. The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

FineReport

JUNE 24, 2021

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

AWS Big Data

MARCH 25, 2024

This data store provides your organization with the holistic customer records view that is needed for operational efficiency of RAG-based generative AI applications. For building such a data store, an unstructured data store would be best. This is typically unstructured data and is updated in a non-incremental fashion.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

Sisense

MARCH 14, 2021

However, when investigating big data from the perspective of computer science research, we happily discover much clearer use of this cluster of confusing concepts. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Big data analytics case study: SkullCandy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

FineReport

DECEMBER 27, 2021

Usually, enterprise BI incorporates relatively rigid, well-structured data models on data warehouses or data marts. The data sources are enterprise-class and monolithic, requiring long read times and IT engagement to adjust to changes in business requirements. Powerful data visualization. Self-service BI.

Enterprise 59

Enterprise Dashboards Business Intelligence Visualization 59

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 Metadata 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52