Analytics Vidhya

OCTOBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a centralized repository for storing, processing, and securing massive amounts of structured, semi-structured, and unstructured data. It can store data in its native format and process any type of data, regardless of size.

Data Lake 374

Data Lake Unstructured Data Data Science Publishing 374

CIO Business Intelligence

SEPTEMBER 12, 2024

Now that AI can unravel the secrets inside a charred, brittle, ancient scroll buried under lava over 2,000 years ago, imagine what it can reveal in your unstructured data–and how that can reshape your work, thoughts, and actions. Unstructured data has been integral to human society for over 50,000 years.

Unstructured Data 111

Unstructured Data Deep Learning Metadata Structured Data 111

TDAN

DECEMBER 4, 2024

We have lots of data conferences here. I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data? Over the years, I’ve seen a trend — more and more emphasis on AI. This is my version of […]

Unstructured Data 52

Unstructured Data Data Quality Data Architecture Modeling 52

CIO Business Intelligence

OCTOBER 30, 2024

They may implement AI, but the data architecture they currently have is not equipped, or able, to scale with the huge volumes of data that power AI and analytics. This requires greater flexibility in systems to better manage data storage and ensure quality is maintained as data is fed into new AI models.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

CIO Business Intelligence

FEBRUARY 6, 2025

They promise to revolutionize how we interact with data, generating human-quality text, understanding natural language and transforming data in ways we never thought possible. From automating tedious tasks to unlocking insights from unstructured data, the potential seems limitless.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

KDnuggets

JANUARY 26, 2022

Let's investigate the current need that enterprise organizations have to rapidly parse through unstructured data and examine several data management trends that are highly relevant in 2022.

Unstructured Data 108

Unstructured Data Analytics Enterprise Management 108

CIO Business Intelligence

DECEMBER 13, 2023

When I think about unstructured data, I see my colleague Rob Gerbrandt (an information governance genius) walking into a customer’s conference room where tubes of core samples line three walls. While most of us would see dirt and rock, Rob sees unstructured data. have encouraged the creation of unstructured data.

Unstructured Data 98

Unstructured Data IoT Metadata Manufacturing 98

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 Data Integration 195

David Menninger's Analyst Perspectives

MARCH 30, 2020

I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.

Data Architecture 292

Data Architecture Unstructured Data Data Lake Data Governance 292

AWS Big Data

DECEMBER 19, 2024

Organizational data is often fragmented across multiple lines of business, leading to inconsistent and sometimes duplicate datasets. This fragmentation can delay decision-making and erode trust in available data. This solution enhances governance and simplifies access to unstructured data assets across the organization.

Publishing 78

Publishing Unstructured Data Metadata Data-driven 78

CIO Business Intelligence

DECEMBER 10, 2024

To drive gen-AI top-line revenue impacts, CIOs should review their data governance priorities and consider proactive data governance and dataops practices that go beyond risk management objectives. In IT service management, AI-driven knowledge graphs provide issue diagnosis and proactive resolution, decreasing downtime.

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

NOVEMBER 22, 2024

Soumya Seetharam, CDIO at Corning, said the manufacturer has been on its data journey for a few years, with more than 70% of its business transaction data being ingested into a data platform. But that’s only structured data, she emphasized.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

Analytics Vidhya

AUGUST 31, 2022

This article was published as a part of the Data Science Blogathon. Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. The post A Detailed Introduction on Data Lakes and Delta Lakes appeared first on Analytics Vidhya.

Data Lake 271

Data Lake Unstructured Data Big Data Dashboards 271

CIO Business Intelligence

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

CIO Business Intelligence

AUGUST 21, 2024

A number of issues contribute to the problem, including a highly distributed workforce, siloed technology systems, the massive growth in data, and more. AI and related technologies, such as machine learning (ML), enable content management systems to take away much of that classification work from users.

Management 134

Management Enterprise Unstructured Data Deep Learning 134

CIO Business Intelligence

DECEMBER 20, 2024

Birnbaum says Bedrocks support for foundational gen AI models from a variety of vendors gives United developers flexibility, while the airlines homegrown data hub gives them connected access to a vast amount of mostly unstructured data for AI development.

IT 131

IT Unstructured Data Experimentation Data Lake 131

Smart Data Collective

JULY 4, 2021

Wealth and asset management has come a long way, evolving through the use of artificial intelligence, or AI solutions. But is AI becoming the end-all and be-all of asset management ? What Machine Learning Means to Asset Managers. Researching, collecting data, and processing everything they find can be labor-intensive.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

CIO Business Intelligence

OCTOBER 9, 2024

How will organizations wield AI to seize greater opportunities, engage employees, and drive secure access without compromising data integrity and compliance? While it may sound simplistic, the first step towards managing high-quality data and right-sizing AI is defining the GenAI use cases for your business.

Strategy 143

Strategy Modeling Management Data Lake 143

CIO Business Intelligence

MAY 24, 2022

Just after launching a focused data management platform for retail customers in March, enterprise data management vendor Informatica has now released two more industry-specific versions of its Intelligent Data Management Cloud (IDMC) — one for financial services, and the other for health and life sciences.

Finance 140

Finance Management Metadata Machine Learning 140

Analytics Vidhya

FEBRUARY 25, 2023

Introduction A data lake is a centralized and scalable repository storing structured and unstructured data. The need for a data lake arises from the growing volume, variety, and velocity of data companies need to manage and analyze.

Data Lake 178

Data Lake Unstructured Data Management Analytics 178

David Menninger's Analyst Perspectives

FEBRUARY 21, 2024

Unstructured data has been a significant factor in data lakes and analytics for some time. Twelve years ago, nearly a third of enterprises were working with large amounts of unstructured data. As I’ve pointed out previously , unstructured data is really a misnomer.

Unstructured Data 147

Unstructured Data Data Lake Enterprise Technology 147

CIO Business Intelligence

NOVEMBER 21, 2022

In our most recent Rocket survey, 46% of IT professionals indicate that at least half of their content is “dark data”— meaning it’s processed but never used. A big reason for the proliferation of dark data is the amount of unstructured data within business operations.

Software 98

Software Management Unstructured Data Data Governance 98

O'Reilly on Data

FEBRUARY 11, 2020

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Comparatively few organizations have created dedicated data quality teams. And that’s just the beginning.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

CIO Business Intelligence

OCTOBER 2, 2024

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. Data management, when done poorly, results in both diminished returns and extra costs.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Data storage costs are exploding.

Management 138

Management Internet of Things Statistics Data-driven 138

CIO Business Intelligence

FEBRUARY 20, 2025

Decades-old apps designed to retain a limited amount of data due to storage costs at the time are also unlikely to integrate easily with AI tools, says Brian Klingbeil, chief strategy officer at managed services provider Ensono. In many cases, outdated apps are completely blocking AI adoption, Stone says.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

Rocket-Powered Data Science

MARCH 20, 2023

Datasphere accesses and integrates both SAP and non-SAP data sources into end-users’ data flows, including on-prem data warehouses, cloud data warehouses and lakehouses, relational databases, virtual data products, in-memory data, and applications that generate data (such as external API data loads).

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

Timo Elliott

FEBRUARY 6, 2025

I recently had the opportunity to interview Robert Reuben, Managing Director of Proceed Group. 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.

Management 52

Management Unstructured Data Data Warehouse Optimization 52

Rocket-Powered Data Science

MAY 21, 2024

With award-winning AI-ready infrastructure, an AI data platform, and collaboration with NVIDIA, Pure Storage is delivering solutions and services that enable organizations to manage the high-performance data and compute requirements of enterprise AI. AI Then and AI Now!

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

CIO Business Intelligence

AUGUST 21, 2024

Enterprise content management (ECM) systems have long given employees easy access to whatever content they need to do their jobs. Add context to unstructured content With the help of IDP, modern ECM tools can extract contextual information from unstructured data and use it to generate new metadata and metadata fields.

Insurance 116

Insurance Management Metadata Unstructured Data 116

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

CIO Business Intelligence

JANUARY 24, 2024

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Sandbox Creation and Management. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Sandbox Creation and Management.

Testing 300

Testing Machine Learning Consulting Data Science 300

AWS Big Data

FEBRUARY 26, 2025

This recognition, we feel, reflects our ongoing commitment to innovation and excellence in data integration, demonstrating our continued progress in providing comprehensive data management solutions. This includes the data integration capabilities mentioned above, with support for both structured and unstructured data.

Data Integration 81

Data Integration Data Lake Data Warehouse Unstructured Data 81

CIO Business Intelligence

JANUARY 9, 2025

These required specialized roles and teams to collect domain-specific data, prepare features, label data, retrain and manage the entire lifecycle of a model. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

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

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. Data scientist skills.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137