Corinium

APRIL 7, 2021

This brief explains how data virtualization, an advanced data integration and data management approach, enables unprecedented control over security and governance. In addition, data virtualization enables companies to access data in real time while optimizing costs and ROI.

Unstructured Data 195

Unstructured Data Management ROI Big Data 195

CIO Business Intelligence

JANUARY 5, 2025

For example, process and task mining can uncover inefficiencies and identify opportunities for optimization, while RPA and low/no-code platforms can empower teams to automate repetitive tasks and develop solutions rapidly.

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

CIO Business Intelligence

DECEMBER 5, 2024

Instead of overhauling entire systems, insurers can assess their API infrastructure to ensure efficient data flow, identify critical data types, and define clear schemas for structured and unstructured data. Incorporating custom knowledge graphs, enriched with domain expertise, further optimizes data consolidation.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

CIO Business Intelligence

OCTOBER 30, 2023

The key is to make data actionable for AI by implementing a comprehensive data management strategy. That’s because data is often siloed across on-premises, multiple clouds, and at the edge. Getting the right and optimal responses out of GenAI models requires fine-tuning with industry and company-specific data.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

Sisense

APRIL 26, 2020

Different types of information are more suited to being stored in a structured or unstructured format. Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Unstructured data.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Cloudera

JANUARY 7, 2025

Adopting hybrid and multi-cloud models provides enterprises with flexibility, cost optimization, and a way to avoid vendor lock-in. A prominent public health organization integrated data from multiple regional health entities within a hybrid multi-cloud environment (AWS, Azure, and on-premise). Why Hybrid and Multi-Cloud?

Cost-Benefit 82

Cost-Benefit Optimization Strategy Data-driven 82

Rocket-Powered Data Science

MAY 21, 2024

One example of Pure Storage’s advantage in meeting AI’s data infrastructure requirements is demonstrated in their DirectFlash® Modules (DFMs), with an estimated lifespan of 10 years and with super-fast flash storage capacity of 75 terabytes (TB) now, to be followed up with a roadmap that is planning for capacities of 150TB, 300TB, and beyond.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

CIO Business Intelligence

DECEMBER 14, 2023

Salesforce is updating its Data Cloud with vector database and Einstein Copilot Search capabilities in an effort to help enterprises use unstructured data for analysis. The Einstein Trust Layer is based on a large language model (LLM) built into the platform to ensure data security and privacy.

Unstructured Data 116

Unstructured Data Structured Data Enterprise Business Intelligence 116

Cloudera

DECEMBER 19, 2023

There, I met with IT leaders across multiple lines of business and agencies in the US Federal government focused on optimizing the value of AI in the public sector. AI can optimize citizen-centric service delivery by predicting demand and customizing service delivery, resulting in reduced costs and improved outcomes. Trust your data.

Optimization 91

Optimization Cost-Benefit Unstructured Data Risk 91

O'Reilly on Data

MARCH 25, 2025

Two big things: They bring the messiness of the real world into your system through unstructured data. Slow response/high cost : Optimize model usage or retrieval efficiency. Business value : Align outputs with business metrics and optimize workflows to achieve measurable ROI. What makes LLM applications so different?

Testing 180

Testing Data-driven Software Measurement 180

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

DataKitchen

APRIL 13, 2021

Monte Carlo Data — Data reliability delivered. Data breaks. Observe, optimize, and scale enterprise data pipelines. . Validio — Automated real-time data validation and quality monitoring. . DataMo – Datmo tools help you seamlessly deploy and manage models in a scalable, reliable, and cost-optimized way.

Testing 304

Testing Machine Learning Consulting Data Science 304

Smart Data Collective

OCTOBER 27, 2021

The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights.

Interactive 130

Interactive Analytics Unstructured Data Data Warehouse 130

CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Semi-structured data falls between the two.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

CIO Business Intelligence

DECEMBER 14, 2023

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

Smart Data Collective

SEPTEMBER 23, 2020

Many people are confused about these two, but the only similarity between them is the high-level principle of data storing. It is vital to know the difference between the two as they serve different principles and need diverse sets of eyes to be adequately optimized. This is a vital disparity between data warehouses and data lakes.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. With such dashboards, users can also customize settings, functionality, and KPIs to optimize their dashboards to suit their specific needs.

Dashboards 316

Dashboards KPI Sales Visualization 316

CIO Business Intelligence

OCTOBER 9, 2024

Optimizing GenAI with data management More than ever, businesses need to mitigate these risks while discovering the best approach to data management. Look for a holistic, end-to-end approach that will allow enterprises to easily adopt and deploy GenAI, from the endpoint to the data center, by building a powerful data operation.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

MARCH 9, 2022

As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Big Data 119

Smart Data Collective

SEPTEMBER 16, 2022

Cost optimization. Speaking of global fintech trends, one cannot fail to mention Big Data. Big Data in finance refers to huge arrays of structured and unstructured data that can be used by banks and financial institutions to predict consumer behavior and develop strategies. Unstructured data.

Unstructured Data 130

Unstructured Data Finance Cost-Benefit Big Data 130

CIO Business Intelligence

OCTOBER 19, 2023

Enterprises can harness the power of continuous information flow by lessening the gap between traditional architecture and dynamic data streams. Unstructured data formatting issues Increasing data volume gets more challenging because it has large volumes of unstructured data. CIO, Data Integration

Data Integration 126

Data Integration Unstructured Data Data-driven Data Warehouse 126

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” Both situations benefit from a technique that optimizes the search through a large and daunting solution space.

Machine Learning 342

Machine Learning Testing Modeling Cost-Benefit 342

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

AWS Big Data

NOVEMBER 21, 2024

This enhanced diversity helps optimize for cost and performance while increasing the likelihood of fulfilling capacity requirements. She specializes in capacity optimization and helps build services that allow customers to run big data applications and petabyte-scale data analytics faster.

Metrics 83

Metrics Machine Learning Strategy Big Data 83

AWS Big Data

FEBRUARY 26, 2025

S3 Tables are specifically optimized for analytics workloads, resulting in up to 3 times faster query throughput and up to 10 times higher transactions per second compared to self-managed tables. These metadata tables are stored in S3 Tables, the new S3 storage offering optimized for tabular data.

Analytics 61

Analytics Data Lake Metadata Data Warehouse 61

Cloudera

NOVEMBER 7, 2023

Are you struggling to manage the ever-increasing volume and variety of data in today’s constantly evolving landscape of modern data architectures? Apache Ozone is compatible with Amazon S3 and Hadoop FileSystem protocols and provides bucket layouts that are optimized for both Object Store and File system semantics.

Unstructured Data 105

Unstructured Data Data Architecture Optimization Interactive 105

DataRobot Blog

MAY 5, 2022

To date, however, enterprises’ vast troves of unstructured data – photo, video, text, and more – have remained mostly untapped. At DataRobot, we are acutely aware of the ability of diverse data to create vast improvements to our customers’ business. Today, managing unstructured data is an arduous task. Jared Bowns.

Unstructured Data 52

Unstructured Data Modeling Enterprise Machine Learning 52

erwin

JANUARY 9, 2020

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. erwin Data Modeler: Where the Magic Happens. CCPA vs. GDPR: Key Differences.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Data Virtualization

MAY 22, 2025

Reading Time: 2 minutes The data lakehouse has emerged as a powerful and popular data architecture, combining the scale of data lakes with the management features of data warehouses. It promises a unified platform for storing and analyzing structured and unstructured data, particularly for.

Data Lake 45

Data Lake Unstructured Data Data Warehouse Data Architecture 45

CIO Business Intelligence

DECEMBER 19, 2023

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Timo Elliott

JANUARY 3, 2022

Today’s data volumes have long since exceeded the capacities of straightforward human analysis, and so-called “unstructured” data, not stored in simple tables and columns, has required new tools and techniques. In this way, you can turn dark data into insights and help drive business improvements. Dark variables.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

Smart Data Collective

OCTOBER 13, 2021

There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement. How is Data Virtualization performance optimized? In improving operational processes.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

CIO Business Intelligence

JANUARY 30, 2024

In other words, generative AI can optimize learning by architecting personalized learning journeys for individual students. Today, many institutions are gridlocked because AI and generative AI have very different data and IT needs than traditional technology. This keeps students appropriately challenged and engaged.

Unstructured Data 114

Unstructured Data Data-driven Risk Technology 114

Smart Data Collective

NOVEMBER 16, 2021

Text mining and text analysis are relatively recent additions to the data science world, but they already have an incredible impact on the corporate world. As businesses collect increasing amounts of often unstructured data, these techniques enable them to efficiently turn the information they store into relevant, actionable resources.

Analytics 133

Analytics Unstructured Data Data Collection Software 133

CIO Business Intelligence

AUGUST 1, 2023

Clean and prep your data for private LLMs Generative AI capabilities will increase the importance and value of an enterprise’s unstructured data, including documents, videos, and content stored in learning management systems.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

Timo Elliott

FEBRUARY 6, 2025

In an era where data is both a critical asset and a growing challenge, he shared insights into how his organization helps businesses optimize their data landscapes, overcome common pitfalls, and prepare for the future. I recently had the opportunity to interview Robert Reuben, Managing Director of Proceed Group.

Management 52

Management Unstructured Data Data Warehouse Optimization 52

Data Virtualization

MAY 26, 2021

Data is becoming increasingly important for understanding markets and customer behaviors, optimizing operations, deriving foresights, and gaining a competitive advantage. Over the last decade, the explosion of structured and unstructured data as well as digital technologies in general, has enabled.

Unstructured Data 80

Unstructured Data Optimization Marketing Technology 80