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 90

Unstructured Data Recreation/Entertainment Structured Data Reporting 90

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

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. Live online presentations, demos, and customer testimonials were complemented with new content posted at sap.com/datasphere.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

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 20, 2025

Klingbeil and Ensono have seen the challenges that legacy apps present for AI firsthand. Stone called outdated apps a multi-trillion-dollar problem, even after organizations have spent the past decade focused on modernizing their infrastructure to deal with big data. But they can be modernized. We are in mid-transition, Stone says.

Insurance 108

Insurance Cost-Benefit Unstructured Data Data Lake 108

Smart Data Collective

OCTOBER 27, 2021

The application presents a massive volume of unstructured data through a graphical or programming interface using the analytical abilities of business intelligence technology to provide instant insight. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights.

Interactive 130

Interactive Analytics Unstructured Data Data Warehouse 130

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

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

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. This kind of “focus adjustment” just isn’t possible with spreadsheets. Not pretty. They Are Intuitive.

Dashboards 316

Dashboards KPI Sales Visualization 316

CIO Business Intelligence

OCTOBER 8, 2024

Consider a file share full of briefing documents and presentations, the team’s email inboxes, and even the moment in a sales presentation where the prospect seems to perk up. 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

CIO Business Intelligence

JULY 16, 2024

Effective, accurate genAI needs massive amounts of data to evaluate queries, so the first question is “What data do I have?” The second is “Where is this data?” Let’s explore some of the common data types that present challenges – and how to solve them for AI. This is where vector data and vector databases come in.

Unstructured Data 105

Unstructured Data Structured Data Machine Learning Enterprise 105

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” Moving beyond point estimates is very close to present-day AI challenges.

Machine Learning 339

Machine Learning Testing Modeling Cost-Benefit 339

CIO Business Intelligence

JANUARY 9, 2025

In many cases, this eliminates the need for specialized teams, extensive data labeling, and complex machine-learning pipelines. The extensive pre-trained knowledge of the LLMs enables them to effectively process and interpret even unstructured data.

Software 128

Software Enterprise Key Performance Indicator Machine Learning 128

CIO Business Intelligence

SEPTEMBER 19, 2024

This enables companies to directly access key metadata (tags, governance policies, and data quality indicators) from over 100 data sources in Data Cloud, it said. 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

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

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. AI could streamline various aspects of this process, wiping out human error, unifying data presentation, and keeping up with changing regulations. Capturing data from documents.

Insurance 142

Insurance Cost-Benefit Big Data Unstructured Data 142

CIO Business Intelligence

DECEMBER 14, 2023

Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal. Learn more about unstructured data storage solutions and how they can enable AI technology. Read about Dell Technologies AI solutions and see Intel AI use cases.

Manufacturing 143

Manufacturing Cost-Benefit Unstructured Data Optimization 143

Smart Data Collective

JULY 4, 2021

At the same time, asset managers can use gathered data from other sectors to work around limitations before they can use the insight presented by the ML as well. Researching, collecting data, and processing everything they find can be labor-intensive. Risk Management.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

AWS Big Data

SEPTEMBER 12, 2024

ZS unlocked new value from unstructured data for evidence generation leads by applying large language models (LLMs) and generative artificial intelligence (AI) to power advanced semantic search on evidence protocols. The auto-mapping phase ensures consistency by mapping extracted features to standard terms present in the ontology.

Unstructured Data 111

Unstructured Data Metadata Machine Learning Consulting 111

CIO Business Intelligence

SEPTEMBER 7, 2023

At first blush, it seems that generative AI and LLM tools will present the defense industry with unprecedented breakthrough innovations. First, there is the need to properly handle the critical data that fuels defense decisions and enables data-driven generative AI. Specifically, existing storage solutions are inadequate.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Data-driven 119

Sisense

MAY 26, 2020

In this post, we’ll discuss these challenges in detail and include some tips and tricks to help you handle text data more easily. Unstructured data and Big Data. Most common challenges we face in NLP are around unstructured data and Big Data. is “big” and highly unstructured.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

CIO Business Intelligence

SEPTEMBER 20, 2023

Generative AI chatbots like OpenAI’s ChatGPT are emerging as the ultimate no-code content-generation tools, with the capability to empower virtually any employee to produce drafts of budgets and customer proposals – even advertising jingles and presentation art – in just seconds.

Insurance 131

Insurance Unstructured Data Cost-Benefit Interactive 131

CIO Business Intelligence

AUGUST 9, 2024

The dashboard now in production uses Databricks’ Azure data lake to ingest, clean, store, and analyze the data, and Microsoft’s Power BI to generate graphical analytics that present critical operational data in a single view, such as the number of flights coming into domestic and international terminals and average security wait times.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

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

CIO Business Intelligence

OCTOBER 2, 2024

As the world moves toward a cashless economy that includes electronic payments for most products and services, financial institutions must also deal with new risk exposures presented by mobile wallets, person-to-person (P2P) payment services, and a host of emerging digital payment systems.

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

Smart Data Collective

MARCH 24, 2020

The relationship between performance parameters and factors for predicting performance is involved in complex nonlinear relationships, so the areas of data collection should be comprehensive.

Big Data 121

Big Data Internet Publishing and Broadcasting Broadcasting Data Collection 121

datapine

DECEMBER 4, 2019

Considered a new big buzz in the computing and BI industry, it enables the digestion of massive volumes of structured and unstructured data that transform into manageable content. Cognitive computing is a BI buzzword that we will hear more often in 2020. Graph analytics has revolutionized business intelligence.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

CIO Business Intelligence

FEBRUARY 16, 2023

The Basel, Switzerland-based company, which operates in more than 100 countries, has petabytes of data, including highly structured customer data, data about treatments and lab requests, operational data, and a massive, growing volume of unstructured data, particularly imaging data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. For example, data analysts should be on board to investigate the data before presenting it to the team and to maintain data models.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

bridgei2i

AUGUST 2, 2020

2: Machine Learning – Once we can make sense of this data, in all its myriad forms, and read it, we need to understand patterns and anomalies from this data. In this case, extracting relevant features from photographs shared by customer, related to vehicle damage for auto insurance claim. Author: Prithvijit Roy.

Digital Transformation 95

Digital Transformation Insurance Unstructured Data Cost-Benefit 95

Cloudera

OCTOBER 26, 2020

The challenge is compounded as the data, from which insight is distilled, is exploding in volume and variety. Across the world, 5G networks are being rolled out, unleashing new real-time streams of data. Not a day goes by without virtual conversations, creating masses of unstructured data. Multi-tenant data access.

IT 119

IT Unstructured Data Data-driven Data Governance 119

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

FineReport

NOVEMBER 6, 2019

When we design indicators and data, using graphics with corresponding actual meanings to combine presentations will make the data charts more vividly displayed, making it easier for users to understand the topics to be expressed by the charts. With the map as the background, the data will be presented in a clearer form.

Visualization 75

Visualization Unstructured Data Sales Structured Data 75

CIO Business Intelligence

NOVEMBER 20, 2023

A variant could be present anywhere among those 3 billion letters, creating incredible complexity. You might be interested in Dell’s upcoming 30-minute online event about “AI Anywhere on Data Everywhere” on December 7th at 11 a.m. Learn more about unstructured data storage solutions and how they can enable AI technology.

Cost-Benefit 132

Cost-Benefit Unstructured Data Structured Data Modeling 132

CIO Business Intelligence

MAY 10, 2024

NoSQL NoSQL is a type of distributed database design that enables users to store and query data without relying on traditional structures often found in relational databases. Because of this, NoSQL databases allow for rapid scalability and are well-suited for large and unstructured data sets.

IT 130

IT Unstructured Data Software Reporting 130

Cloudera

SEPTEMBER 6, 2018

It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data. It also supports a number of frameworks that can process data in parallel, in batch or in streams, in a variety of languages. The foundation of this end-to-end AML solution is Cloudera Enterprise.

Machine Learning 40

Machine Learning Big Data Risk Data Science 40

Smart Data Collective

APRIL 5, 2021

Big data has become the lifeblood of small and large businesses alike, and it is influencing every aspect of digital innovation, including web development. What is Big Data? Big data can be defined as the large volume of structured or unstructured data that requires processing and analytics beyond traditional methods.

Big Data 137

Big Data Data-driven IT Sales 137