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 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

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

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

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 272

Unstructured Data IT Data Science Publishing 272

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

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 93

Data Governance Unstructured Data Metadata Data Lake 93

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 283

Structured Data Analytics Unstructured Data IT 283

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 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

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 91

Unstructured Data Sales Digital Transformation Strategy 91

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 131

Finance Unstructured Data Risk Cost-Benefit 131

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 92

Unstructured Data Data-driven ROI Machine Learning 92

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 114

Cost-Benefit Machine Learning Interactive Software 114

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

AWS Big Data

MARCH 25, 2024

A RAG-based generative AI application can only produce generic responses based on its training data and the relevant documents in the knowledge base. For example, Amazon DynamoDB provides a feature for streaming CDC data to Amazon DynamoDB Streams or Kinesis Data Streams.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

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.

Cost-Benefit 116

Cost-Benefit Unstructured Data Machine Learning Marketing 116

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices. Field services.

Unstructured Data 79

Unstructured Data Consulting Visualization IoT 79

Ontotext

OCTOBER 19, 2023

Healthcare data is well-known for its complexity and variability, including structured data from electronic health records (EHRs), unstructured data from clinical notes, and information from various devices and sources. Cleaning and integrating this data to create a unified and accurate patient profile is essential.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

CIO Business Intelligence

AUGUST 11, 2023

How natural language processing works NLP leverages machine learning (ML) algorithms trained on unstructured data, typically text, to analyze how elements of human language are structured together to impart meaning. NLTK is offered under the Apache 2.0 It was primarily developed at the University of Massachusetts Amherst.

Unstructured Data 141

Unstructured Data Modeling Machine Learning Data mining 141

CIO Business Intelligence

DECEMBER 19, 2023

Verifying that bonds are ERISA-compliant has historically been a manual process involving a thorough review of documentation and legal history. Auditing a 401(k)-plan document manually can cost up to $7,500 and consume about 45 hours of a skilled professional’s time.

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

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. Datasphere manages and integrates structured, semi-structured, and unstructured data types.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

CIO Business Intelligence

JANUARY 22, 2024

Unlike prior chatbots and other digital point solutions, generative AI technology is transformative because it unlocks the power of unstructured data to create new content. In addition, large language models can both summarize massive amounts of data and create new, original content.

Cost-Benefit 103

Cost-Benefit Digital Transformation Data-driven Interactive 103

CIO Business Intelligence

DECEMBER 4, 2023

Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puzzle is similar to what CIOs face with information management. A modern ILM approach helps CIOs and their teams align processes to business objectives and regulatory requirements.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

CIO Business Intelligence

DECEMBER 11, 2023

Capture patient documentation with a digital scribe. ™ , an AI-powered intelligent document processing solution for back-office operations that uses machine learning, natural language processing, and computer vision. Physicians will turn to a digital scribe to better capture patient-provider interactions.

Unstructured Data 70

Unstructured Data Interactive Data-driven Consulting 70

CIO Business Intelligence

FEBRUARY 23, 2024

We are designing our AI efforts to really augment the human creativity and productivity,” he says, noting that the company’s pilot testing has shown significant productivity gains in document and data summarization as well as churning out data insights faster.

IT 117

IT Manufacturing Unstructured Data Strategy 117

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 117

Unstructured Data Metadata Management Analytics 117

Ontotext

MAY 22, 2023

At the heart of such tools is the extraction of fields from forms or specific attributes from documents. Luckily, the text analysis that Ontotext does is focused on tasks that require complex domain knowledge and linking of documents to reference data or master data. That’s something that LLMs cannot do.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

bridgei2i

AUGUST 2, 2020

There are documents including images, emails etc. In the post-COVID world, tasks requiring people gathering together in one location and manual processes such as physical verification of claim or printed copies of documents to be authenticated would be seriously called into question. that need to be checked.

Digital Transformation 95

Digital Transformation Insurance Unstructured Data Cost-Benefit 95

CIO Business Intelligence

MARCH 7, 2023

Vince Kellen understands the well-documented limitations of ChatGPT, DALL-E and other generative AI technologies — that answers may not be truthful, generated images may lack compositional integrity, and outputs may be biased — but he’s moving ahead anyway. Eventually, he adds, “We’ll find automated ways to ensure that quality is good.

Enterprise 111

Enterprise IT Experimentation Unstructured Data 111

Ontotext

MAY 17, 2019

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma.

Slice and Dice 76

Slice and Dice Unstructured Data Dashboards Optimization 76

CIO Business Intelligence

JANUARY 16, 2024

Still, to ensure workers gain the most out of the tools, Mayar suggested multimodal LLMs combining structured datasets and unstructured data should be designed smaller and for specific tasks. “It’s only been 13 months and it made time nonlinear,” he quipped. Thomson Reuters is one organization targeting gen AI for efficiency.

Cost-Benefit 120

Cost-Benefit Enterprise Unstructured Data Technology 120

Ontotext

DECEMBER 16, 2021

Companies in the life sciences face data challenges on two fronts: Volume. Organizations in this sector often deal with multiple repositories of millions of documents on top of proprietary data from labs and other internal sources. As with drug discovery, this data is typically a mixture of structured and unstructured sources.

Metadata 98

Metadata Reporting Unstructured Data Risk 98

Smart Data Collective

DECEMBER 21, 2020

Key benefits of AI include recognizing speech, identifying objects in an image, and analyzing natural or unstructured data forms. Capturing data from documents. As AI can recognize written text using document capture technology, it’s far easier for insurers to swiftly manage high volumes of claim forms.

Insurance 134

Insurance Cost-Benefit Big Data Unstructured Data 134

IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. IBM works with several insurance companies to identify high-value opportunities for using generative AI.

Insurance 56

Insurance Digital Transformation Risk Management Risk 56

CIO Business Intelligence

NOVEMBER 1, 2023

The challenge is obtaining that relevant information from an enterprise’s database, as classical database engines respond with records that are an exact match for a keyword, while relevant information may only match a broad concept — documents might refer to a product enhancement or improvement rather than an upgrade, for example.

Enterprise 129

Enterprise Cost-Benefit Unstructured Data Software 129

Smart Data Collective

AUGUST 30, 2022

Centralized data storage. For example, e-mail messages and documents are stored in the cloud, giving users access to their data from any location. Information is encrypted and stored on firewalls or protected by redundancy and many other security methods to ensure data safety.

Technology 133

Technology Enterprise Cost-Benefit Testing 133

Ontotext

DECEMBER 15, 2022

What’s the big deal about unstructured and semi-structured data? Unstructured data might seem like an oxymoron, but it just means data that doesn’t come in tables. Semi-structured data consists of formats such as JSON or XML that have rigidly defined structures but aren’t made of columns and rows.

Metadata 52

Metadata Unstructured Data Structured Data Enterprise 52