Analytics Vidhya

SEPTEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Introduction Let’s look at a practical application of the supervised NLP fastText model for detecting sarcasm in news headlines. About 80% of all information is unstructured, and text is one of the most common types of unstructured data.

Unstructured Data 343

Unstructured Data Data Science Publishing Modeling 343

CIO Business Intelligence

NOVEMBER 28, 2023

With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Unstructured data resources can be extremely valuable for gaining business insights and solving problems.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

Analytics Vidhya

FEBRUARY 2, 2024

Introduction In the era of big data, organizations are inundated with vast amounts of unstructured textual data. The sheer volume and diversity of information present a significant challenge in extracting insights.

Unstructured Data 305

Unstructured Data Big Data Analytics Structured Data 305

Analytics Vidhya

OCTOBER 13, 2019

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya.

Data Science 302

Data Science Analytics Unstructured Data 302

Analytics Vidhya

OCTOBER 9, 2022

Introduction Textual data from social media posts, customer feedback, and reviews are valuable resources for any business. There is a host of useful information in such unstructured data that we can discover. Making sense of this unstructured data can help companies better understand […].

Unstructured Data 290

Unstructured Data Data Processing Data Science Publishing 290

AWS Big Data

OCTOBER 25, 2023

Unstructured data is information that doesn’t conform to a predefined schema or isn’t organized according to a preset data model. Unstructured information may have a little or a lot of structure but in ways that are unexpected or inconsistent.

Unstructured Data 133

Unstructured Data Metadata Management Analytics 133

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

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 97

Publishing Unstructured Data Metadata Data-driven 97

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

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

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

Cloudera

NOVEMBER 15, 2021

At current growth rates, it is estimated that the number of bits produced would exceed the number of atoms on Earth in about 350 years – a physics-based constraint described as an information catastrophe. The rate of data growth is reflected in the proliferation of storage centres. of that data is analysed.

Unstructured Data 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

CIO Business Intelligence

NOVEMBER 22, 2024

“Our big challenge, honestly, is the unstructured data,” Seetharam said, noting that Corning must now “figure out how to categorize [unstructured data] and bring it in a form that can be useful.” Bhavesh Dayalji, CAIO at S&P Global, added that integrating all kinds of data structures into gen AI models is a challenge.

Unstructured Data 136

Unstructured Data Testing Modeling Enterprise 136

CIO Business Intelligence

DECEMBER 20, 2024

Chief among these is United ChatGPT for secure employee experimental use and an external-facing LLM that better informs customers about flight delays, known as Every Flight Has a Story, that has already boosted customer satisfaction by 6%, Birnbaum notes. Historically United storytellers had to manually edit templates, which took time.

IT 131

IT Unstructured Data Experimentation Data Lake 131

KDnuggets

AUGUST 14, 2019

Processing unstructured text data in real-time is challenging when applying NLP or NLU. Find out how an alternative, called Domain-Specific Language Processing, can mine valuable information from data by following your guidance and using the language of your business.

Unstructured Data 118

Unstructured Data 118

CIO Business Intelligence

DECEMBER 5, 2024

According to a recent Salesforce study, 62% of large enterprises are not well-positioned to achieve this harmony, with 80% grappling with data silos and 72% facing the complexities of overly interdependent systems. Incorporating custom knowledge graphs, enriched with domain expertise, further optimizes data consolidation.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

CIO Business Intelligence

DECEMBER 10, 2024

Improving data quality and integrating new data sources to enrich customer and prospect data are vital for applying AI in marketing and sales. For example, many organizations have been centralizing customer data for some time, but gen AI can greatly enhance the ability to find patterns and signals in unstructured data sources.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

CIO Business Intelligence

DECEMBER 10, 2024

To integrate AI into enterprise workflows, we must first do the foundation work to get our clients data estate optimized, structured, and migrated to the cloud. It requires the ability to break down silos between disparate data sets and keep data flowing in real-time.

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

Rocket-Powered Data Science

MARCH 20, 2023

Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. The insights are used to produce informative content for stakeholders (decision-makers, business users, and clients).

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

CIO Business Intelligence

NOVEMBER 19, 2024

Some challenges include data infrastructure that allows scaling and optimizing for AI; data management to inform AI workflows where data lives and how it can be used; and associated data services that help data scientists protect AI workflows and keep their models clean. Through relentless innovation.

Management 116

Management Unstructured Data Deep Learning Metadata 116

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. We are in mid-transition, Stone says.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

CIO Business Intelligence

JANUARY 24, 2024

Similar to disaster recovery, business continuity, and information security, data strategy needs to be well thought out and defined to inform the rest, while providing a foundation from which to build a strong business.” Overlooking these data resources is a big mistake. It will not be something they can ignore.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

JANUARY 9, 2025

Chatbots are used to build response systems that give employees quick access to extensive internal knowledge bases, breaking down information silos. In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines. and immediately receive relevant answers and visualizations.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

AUGUST 21, 2024

A recent Forrester study shows a growing number of companies feel their workers spend too much time looking for information they need – 40% today vs. 19% just five years ago. A number of issues contribute to the problem, including a highly distributed workforce, siloed technology systems, the massive growth in data, and more.

Management 134

Management Enterprise Unstructured Data Deep Learning 134

CIO Business Intelligence

OCTOBER 30, 2023

This infrastructure must be suited to handle extreme data growth, especially with unstructured data. An estimated 90% of the global datasphere is comprised of unstructured data 1. And it’s growing rapidly, estimated at 55-65% 2 year-over-year and three times faster than structured data.

Unstructured Data 143

Unstructured Data Optimization Data-driven Strategy 143

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.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Data Science 137

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. Some other common data quality issues (Figure 4)—e.g.,

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

Smart Data Collective

SEPTEMBER 23, 2020

Raw data that has not been cleared is known as unstructured data; this includes chat logs, pictures, and PDF files. Unstructured data that has been cleared to suit a plan, sort out into tables, and defined by relationships and types, is known as structured data.

Data Lake 135

Data Lake Data Warehouse Unstructured Data Big Data 135

CIO Business Intelligence

SEPTEMBER 12, 2024

The main reason is that it is difficult and time-consuming to consolidate, process, label, clean, and protect the information at scale to train AI models. The examples above demonstrate how expanding AI applications and unstructured data help create transformational outcomes.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Machine Learning 119

Analytics Vidhya

AUGUST 26, 2021

This article was published as a part of the Data Science Blogathon “You can have data without information but you cannot have information without data” – Daniel Keys Moran Introduction If you are here then you might be already interested in Machine Learning or Deep Learning so I need not explain what it is?

Modeling 318

Modeling Deep Learning Machine Learning Data Science 318

AWS Big Data

MAY 28, 2024

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. Redshift Serverless is a fully functional data warehouse holding data tables maintained in real time.

Unstructured Data 119

Unstructured Data Data Warehouse Structured Data Testing 119

datapine

JUNE 5, 2019

That’s an unfathomable amount of information. Data has changed our lives in many ways, helping to improve the processes, initiatives, and innovations of organizations across sectors through the power of insight. In doing so, your business will be data-driven, and as a direct result – more successful.

Dashboards 316

Dashboards KPI Sales Visualization 316

Rocket-Powered Data Science

MAY 21, 2024

In the past, it was sufficient to bring order to the randomness of enterprise data collection through applications of technology resources (databases and storage devices) that were aimed primarily at organizing, storing, indexing, and managing enterprise information assets for single purposes or single business units.

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

Smart Data Collective

MAY 13, 2022

This means feeding the machine with vast amounts of data, from structured to unstructured data, which will help the device learn how to think, process information, and act like humans. As unstructured data comes from different sources and is stored in various locations.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

O'Reilly on Data

MARCH 25, 2025

Two big things: They bring the messiness of the real world into your system through unstructured data. Recently, we helped an EdTech startup build an information-retrieval app. Any scenario in which a student is looking for information that the corpus of documents can answer. What makes LLM applications so different?

Testing 168

Testing Data-driven Software Measurement 168