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. Text, images, audio, and videos are common examples of unstructured data.

Unstructured Data 123

Unstructured Data Metadata Management Analytics 123

Cloudera

NOVEMBER 4, 2024

Document analysis is crucial for efficiently extracting insights from large volumes of text. For example, cancer researchers can use document analysis to quickly understand the key findings of thousands of research papers on a certain type of cancer, helping them identify trends and knowledge gaps needed to set new research priorities.

Unstructured Data 74

Unstructured Data Machine Learning Modeling Enterprise 74

Smart Data Collective

SEPTEMBER 22, 2021

Unstructured data represents one of today’s most significant business challenges. Unlike defined data – the sort of information you’d find in spreadsheets or clearly broken down survey responses – unstructured data may be textual, video, or audio, and its production is on the rise. Centralizing Information.

Unstructured Data 118

Unstructured Data Management Cost-Benefit Finance 118

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 288

Unstructured Data Big Data Analytics Structured Data 288

O'Reilly on Data

NOVEMBER 19, 2024

Here’s a simple rough sketch of RAG: Start with a collection of documents about a domain. Split each document into chunks. One more embellishment is to use a graph neural network (GNN) trained on the documents. Chunk your documents from unstructured data sources, as usual in GraphRAG.

Unstructured Data 159

Unstructured Data Structured Data Modeling Statistics 159

Analytics Vidhya

AUGUST 25, 2023

Introduction Have you ever worked with unstructured data and thought of a way to detect the presence of tables in your document? To help you quickly process your documents?

Unstructured Data 262

Unstructured Data Analytics 262

Cloudera

NOVEMBER 15, 2021

Here we mostly focus on structured vs unstructured data. In terms of representation, data can be broadly classified into two types: structured and unstructured. Structured data can be defined as data that can be stored in relational databases, and unstructured data as everything else.

Unstructured Data 89

Unstructured Data Recreation/Entertainment Structured Data Reporting 89

Cloudera

NOVEMBER 15, 2024

Enterprise organizations collect massive volumes of unstructured data, such as images, handwritten text, documents, and more. They also still capture much of this data through manual processes. The way to leverage this for business insight is to digitize that data.

Machine Learning 71

Machine Learning Unstructured Data Visualization Data Transformation 71

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

CIO Business Intelligence

AUGUST 21, 2024

Importantly, such tools can extract relevant data even from unstructured data – including PDFs, email, and even images – and accurately classify it, making it easy to find and use. Natural language processing (NLP): As its name implies, NLP employs ML to essentially “read” a document much like your employees would.

Management 134

Management Enterprise Unstructured Data Deep Learning 134

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

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 92

Enterprise Unstructured Data Contextual Data Data-driven 92

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

SEPTEMBER 12, 2024

Organizational data is diverse, massive in size, and exists in multiple formats (paper, images, audio, video, emails, and other types of unstructured data, as well as structured data) sprawled across locations and silos. Every AI journey begins with the right data foundation—arguably the most challenging step.

Unstructured Data 119

Unstructured Data Data Quality Structured Data Modeling 119

CIO Business Intelligence

OCTOBER 8, 2024

That’s partly because of an underlying structural tension between the traditional data science mission of turning “data into insights” versus the on-the-ground game of turning “context into action.” And some of the biggest challenges to making the most of it are well-suited to the skills and mindset of data scientists.

Unstructured Data 117

Unstructured Data Data Science Uncertainty Sales 117

AWS Big Data

SEPTEMBER 12, 2024

In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. We use leading-edge analytics, data, and science to help clients make intelligent decisions. The document processing layer supports document ingestion and orchestration.

Unstructured Data 104

Unstructured Data Metadata Consulting Machine Learning 104

Boris Evelson

JUNE 14, 2018

Enterprises are sitting on mountains of unstructured data – 61% have more than 100 Tb and 12% have more than 5 Pb! Luckily there are mature technologies out there that can help. First, enterprise information architects should consider general purpose text analytics platforms.

Unstructured Data 78

Unstructured Data Analytics Technologies Technology Analytics 78

CIO Business Intelligence

SEPTEMBER 12, 2024

The first and most important step is to take a strategic approach, which means identifying the data being collected and stored while understanding how it ties into existing operations. This needs to work across both structured and unstructured data, including data held in physical documents.

ROI 110

ROI Cost-Benefit Unstructured Data Metadata 110

Analytics Vidhya

SEPTEMBER 16, 2021

This article was published as a part of the Data Science Blogathon Introduction Analyzing texts is far more complicated than analyzing typical tabulated data (e.g. retail data) because texts fall under unstructured data. Different people express themselves quite differently when it comes to […].

Unstructured Data 279

Unstructured Data IT Data Science Publishing 279

CIO Business Intelligence

FEBRUARY 6, 2024

SharePoint Premium’s potential To understand why SharePoint Premium might actually matter, look no further than the fact that, in the typical enterprise, about 20% of all data is structured — the stuff that fits nicely into relational databases. To oversimplify a smidgen, call unstructured data “content” and think of it as atoms.

Unstructured Data 98

Unstructured Data Advertising Metadata Software 98

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. This would allow analysts to process the documents to develop investment recommendations faster and more efficiently.

Unstructured Data 95

Unstructured Data Data Warehouse Structured Data Testing 95

AWS Big Data

FEBRUARY 29, 2024

Data governance is a critical building block across all these approaches, and we see two emerging areas of focus. First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses.

Data Governance 102

Data Governance Unstructured Data Metadata Data Lake 102

CIO Business Intelligence

SEPTEMBER 12, 2024

It’s critical to take a unified approach that covers both structured and unstructured data. Based on what we see with our customers, only about 20% of the data you require for any use case is typically visible, while another 20% is what we call ROT: redundant, obsolete or trivial.

Unstructured Data 111

Unstructured Data Data Quality Enterprise Data Governance 111

CIO Business Intelligence

OCTOBER 31, 2024

One executive the researchers interviewed for the report suggested AI tools are productivity “shaves,” because they save users a few minutes on each task by summarizing documents or by helping to draft an email, for example. In some cases, the value of AI solutions can become evident sooner than the value of AI tools, Wixom says. “If

Data-driven 142

Data-driven Unstructured Data Experimentation Consulting 142

CIO Business Intelligence

SEPTEMBER 19, 2024

Alation also uses its own AI, dubbed Allie , to provide AI-assisted curation and intelligent search within Data Cloud, and to assist it in developing connectors to other data sources. We look at the entire landscape of information that an enterprise has,” Sangani said. “As That work takes a lot of machine learning and AI to accomplish.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

CIO Business Intelligence

DECEMBER 19, 2023

Create these six generative AI workstreams CIOs should document their AI strategy for delivering short-term productivity improvements while planning visionary impacts. Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

AWS Big Data

SEPTEMBER 26, 2024

Organizations are collecting and storing vast amounts of structured and unstructured data like reports, whitepapers, and research documents. By consolidating this information, analysts can discover and integrate data from across the organization, creating valuable data products based on a unified dataset.

Data Lake 92

Data Lake Cost-Benefit Unstructured Data Modeling 92

Analytics Vidhya

DECEMBER 1, 2023

Many tools and applications are being built around this concept, like vector stores, retrieval frameworks, and LLMs, making it convenient to work with custom documents, especially Semi-structured Data with Langchain. Introduction Retrieval Augmented Generation has been here for a while.

Structured Data 292

Structured Data Analytics Unstructured Data IT 292

CIO Business Intelligence

JUNE 5, 2023

To increase efficiency while working on various regulatory processes that assist in compliance through on-time submission of the regulatory documents, cost, improving performance, and enabling a speedy go-to-market timeline, we decided to leverage RPA,” she says, an increasingly popular approach to automating business processes.

Unstructured Data 98

Unstructured Data Sales Digital Transformation Strategy 98

O'Reilly on Data

NOVEMBER 18, 2019

Highlights from the interview include: The biggest hurdle businesses face when implementing machine learning or AI solutions is cleaning and preparing unstructured data that exists across silos. ” ( 00:57 ).

ROI 132

ROI Unstructured Data Machine Learning Modeling 132

CIO Business Intelligence

SEPTEMBER 29, 2023

That’s because vast, real-time, unstructured data sets are used to build, train, and implement generative AI. By automating processes like document verification and customer identity validation, generative AI simplifies practices like anti-money laundering (AML) and know your customer (KYC). Regulatory compliance. Automation.

Finance 133

Finance Unstructured Data Risk Cost-Benefit 133

CIO Business Intelligence

FEBRUARY 10, 2023

Deploying new data types for machine learning Mai-Lan Tomsen-Bukovec, vice president of foundational data services at AWS, sees the cloud giant’s enterprise customers deploying more unstructured data, as well as wider varieties of data sets, to inform the accuracy and training of ML models of late.

Unstructured Data 105

Unstructured Data Data Lake Machine Learning Enterprise 105

Smart Data Collective

MAY 1, 2022

This problem will not stop as more documents and other types of information are collected and stored. This will eventually lead you to situations where you know that valuable data is inside these documents, but you cannot extract them. . If data had to be sorted manually, it would easily take months or even years to do it.

Unstructured Data 121

Unstructured Data Cost-Benefit Machine Learning Marketing 121

CIO Business Intelligence

MARCH 6, 2024

Vector embeddings represent data (including unstructured data like text, images, and videos) as coordinates while capturing their semantic relationships and similarities. The SAP HANA Cloud Vector Engine, unveiled a few months ago , is a multi-model engine that can store and query vector embeddings like any other data type.

Unstructured Data 129

Unstructured Data Dashboards Business Intelligence Data Governance 129

Smarten

AUGUST 23, 2023

If you are looking for ways to get started on your AI journey and take advantage of the current capabilities of this technology, here are a few ideas to get you started with AI: Unstructured Data : – Use artificial intelligence and GPT to summarize PDFs, HTML and other unstructured documents and data.

Unstructured Data 52

Unstructured Data Digital Transformation Structured Data Consulting 52

CIO Business Intelligence

OCTOBER 3, 2023

Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data. . • Robotic process automation (RPA): as discussed above, RPA tools represent a component of hyperautomation.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

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 84

Unstructured Data Data-driven ROI Machine Learning 84