Analytics Vidhya

MAY 4, 2022

Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text. It is a process to transform the unstructured data (text […].

Unstructured Data 304

Unstructured Data Data mining Data Science Publishing 304

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

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords! One of the IT buzzwords you must take note of in 2020.

Technology 279

Technology Internet of Things IT IoT 279

Analytics Vidhya

NOVEMBER 7, 2023

Introduction In the ever-evolving field of natural language processing and artificial intelligence, the ability to extract valuable insights from unstructured data sources, like scientific PDFs, has become increasingly critical.

Unstructured Data 316

Unstructured Data Modeling Analytics Technology 316

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

Cloudera

NOVEMBER 15, 2021

The International Data Corporation (IDC) estimates that by 2025 the sum of all data in the world will be in the order of 175 Zettabytes (one Zettabyte is 10^21 bytes). Most of that data will be unstructured, and only about 10% will be stored. Here we mostly focus on structured vs unstructured data.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

AWS Big Data

DECEMBER 19, 2024

Although Amazon DataZone automates subscription fulfillment for structured data assetssuch as data stored in Amazon Simple Storage Service (Amazon S3), cataloged with the AWS Glue Data Catalog , or stored in Amazon Redshift many organizations also rely heavily on unstructured data. Enter a name for the asset.

Publishing 96

Publishing Unstructured Data Metadata Data-driven 96

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

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

CIO Business Intelligence

OCTOBER 30, 2024

The path to achieving AI at scale is paved with myriad challenges: data quality and availability, deployment, and integration with existing systems among them. A data fabric is a series of cooperating technologies that help create a unified view of data from disparate systems and services across the organization.

Enterprise 139

Enterprise Data Architecture Unstructured Data Insurance 139

CIO Business Intelligence

DECEMBER 10, 2024

Set clear, measurable metrics around what you want to improve with generative AI, including the pain points and the opportunities, says Shaown Nandi, director of technology at AWS. Improving data quality and integrating new data sources to enrich customer and prospect data are vital for applying AI in marketing and sales.

Sales 143

Sales Metrics Data-driven Measurement 143

CIO Business Intelligence

JANUARY 5, 2025

2] For SS&C Blue Prism, the key to success in AI lies in deploying the technology holistically across the enterprise and integrating AI technologies alongside comprehensive business automation and orchestration capabilities.

Enterprise 124

Enterprise Cost-Benefit Unstructured Data Data Quality 124

Smart Data Collective

AUGUST 30, 2022

The market for cloud technology is booming. Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Data streaming. Centralized data storage.

Technology 140

Technology Enterprise Cost-Benefit Data Processing 140

CIO Business Intelligence

DECEMBER 10, 2024

The sheer number of options and configurations, not to mention the costs associated with these underlying technologies, is multiplying so quickly that its creating some very real challenges for businesses that have been investing heavily to incorporate AI-powered capabilities into their workflows.

Modeling 116

Modeling Insurance Unstructured Data Experimentation 116

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 19, 2024

The challenges of integrating data with AI workflows When I speak with our customers, the challenges they talk about involve integrating their data and their enterprise AI workflows. The core of their problem is applying AI technology to the data they already have, whether in the cloud, on their premises, or more likely both.

Management 116

Management Unstructured Data Deep Learning Metadata 116

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

NOVEMBER 20, 2022

The lack of the right resources, technology, and, most importantly, communication channels could bring unwarranted stress to the organization. The good news is that cloud technology can improve communication and reduce employee turnover. . 5 ways cloud technology can improve business communication. Improves onboarding process.

Technology 130

Technology Unstructured Data Strategy Cost-Benefit 130

CIO Business Intelligence

DECEMBER 5, 2024

To understand the impact of data distilleries, it’s essential to first recognize traditional data management challenges. Historically, insurers struggled with fragmented data sources, leading to inefficient data aggregation and analysis.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

Rocket-Powered Data Science

MAY 21, 2024

Pure Storage empowers enterprise AI with advanced data storage technologies and validated reference architectures for emerging generative AI use cases. Summary AI devours data. Anything less than a complete data platform for AI is a deal-breaker for enterprise AI.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

FineReport

JULY 1, 2021

Business Intelligence Technologies Overview. With the advancement of technology, it is becoming easier for people to obtain a large amount of data. Therefore, the technical requirements for analyzing data are constantly increasing. BI Technology Meaning. Let us enter the topic and define what BI technology is.

Business Intelligence 98

Business Intelligence Technology Data Warehouse Dashboards 98

O'Reilly on Data

SEPTEMBER 24, 2018

For big data, this isn't just making sure cluster processes are running. A DataOps team needs to do that and keep an eye on the data. With big data, we're often dealing with unstructured data or data coming from unreliable sources. This is how you avoid six-hour downtimes.

Enterprise 259

Enterprise Big Data Data Quality Unstructured Data 259

Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

OCTOBER 30, 2023

CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. An estimated 90% of the global datasphere is comprised of unstructured data 1.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

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

JULY 26, 2023

Several technologies are used to create digital humans. Large language models use various algorithms to provide support for structured and unstructured data ingestion, scale-out capacity and growth, API integration and unsupervised learning when necessary. Learn more about healthcare solutions from Dell Technologies.

Technology 98

Technology Unstructured Data Forecasting Visualization 98

CIO Business Intelligence

FEBRUARY 20, 2025

Stone called outdated apps a multi-trillion-dollar problem, even after organizations have spent the past decade focused on modernizing their infrastructure to deal with big data. This allows for the extraction and integration of data into AI models without overhauling entire platforms, Erolin says.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

Smart Data Collective

MAY 13, 2022

Most traditional business insight tools are no longer capable of processing and visualizing the growing volumes of complex data coming from various devices, channels, and business systems. Artificial intelligence and allied technologies make business insight tools and data analytics software more efficient.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

CIO Business Intelligence

JANUARY 24, 2024

How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Unfortunately, the road to data strategy success is fraught with challenges, so CIOs and other technology leaders need to plan and execute carefully. It will not be something they can ignore.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

AWS Big Data

FEBRUARY 26, 2025

We have embarked on a journey to unify the broad range of AWS data processing, analytics, and AI capabilities, starting with the announcement of Amazon SageMaker Unified Studio at re:Invent 2024. This includes the data integration capabilities mentioned above, with support for both structured and unstructured data.

Data Integration 101

Data Integration Data Lake Data Warehouse Unstructured Data 101

O'Reilly on Data

FEBRUARY 11, 2020

They’re still struggling with the basics: tagging and labeling data, creating (and managing) metadata, managing unstructured data, etc. Nearly one-quarter of respondents work as data scientists or analysts (see Figure 1). An additional 7% are data engineers. On the good side, technological progress—e.g.,

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

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

Smart Data Collective

SEPTEMBER 16, 2022

Client requests naturally grow with the development of technology. They are using big data technology to offer even bigger benefits to their fintech customers. The use of artificial intelligence technologies allows for improving the quality of service and minimizing costs. Among them are distinguished: Structured data.

Finance 130

Finance Unstructured Data Cost-Benefit Big Data 130

Analytics Vidhya

FEBRUARY 25, 2023

Introduction In recent years, the evolution of technology has increased tremendously, and nowadays, deep learning is widely used in many domains. This has achieved great success in many fields, like computer vision tasks and natural language processing.

Deep Learning 336

Deep Learning Machine Learning Technology Analytics 336

CIO Business Intelligence

JANUARY 9, 2025

GenAI as ubiquitous technology In the coming years, AI will evolve from an explicit, opaque tool with direct user interaction to a seamlessly integrated component in the feature set. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines. An LLM can do that too.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

JULY 16, 2024

Often the data resides in different databases, in diverse data centers, or in different clouds. Migrating the data into similar databases, and replicating data across multiple locations, provides the availability and speed required for AI applications. As much as 90% of an organization’s data is unstructured.

Unstructured Data 105

Unstructured Data Structured Data Machine Learning Enterprise 105

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. I wrote in Driving Digital , “Digital transformation is not just about technology and its implementation.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143