CIO Business Intelligence

OCTOBER 2, 2024

This is especially important to companies whose bottom lines depend on having robust, real-time pictures of their customers and prospects – any organization dealing with risk assessment, fraud prevention and detection, or marketing. Will it provide the flexibility needed to work with that variety of data in any required or desired way?

Analytics 115

Analytics Unstructured Data Interactive Data Governance 115

CIO Business Intelligence

FEBRUARY 20, 2024

Data remains siloed in facilities, departments, and systems –and between IT and OT networks (according to a report by The Manufacturer , just 23% of businesses have achieved more than a basic level of IT and OT convergence). Denso uses AI to verify the structuring of unstructured data from across its organisation.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

CIO Business Intelligence

SEPTEMBER 20, 2023

Naturally, what you’re able to do – and how much risk that involves – depends at least as much on the state of your own enterprise data platform. Your data platform is the foundation for foundation models,” says Ram Venkatesh, Chief Technology Officer at Cloudera. Did we solve the problem? How many times did they have to call?

Unstructured Data 131

Unstructured Data Insurance Cost-Benefit Interactive 131

Smart Data Collective

SEPTEMBER 26, 2019

For example, you can organize an employee table in a database in a structured manner to capture the employee’s details, job positions, salary, etc. Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

Cloudera

OCTOBER 28, 2021

Since the beginning of Commercial insurance as we know it today, insurers have been using data generated by other industries to assess and rate risks. In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

erwin

JUNE 26, 2020

A data catalog uses metadata, data that describes or summarizes data, to create an informative and searchable inventory of all data assets in an organization. Clearly documents data catalog policies, rules and shares information assets. Managing a remote workforce creates new challenges and risks.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

DataKitchen

FEBRUARY 27, 2024

Challenges in Developing Reliable LLMs Organizations venturing into LLM development encounter several hurdles: Data Location: Critical data often resides in spreadsheets, characterized by a blend of text, logic, and mathematics.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 105

Unstructured Data Cost-Benefit Metadata Machine Learning 105

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

FineReport

NOVEMBER 6, 2019

As shown above, through the spider map, you can see that the company’s ability in profitability and risk control capability is nearly 100 points, which can be said to be outstanding. It is a common method of data visualization design to express the strength and size of the index value by the depth of the color. From FineReport.

Visualization 75

Visualization Unstructured Data Sales Structured Data 75

Cloudera

SEPTEMBER 12, 2022

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

Unstructured Data 75

Unstructured Data Data Architecture Data Lake Snapshot 75

Jet Global

SEPTEMBER 4, 2020

Data lakes serve a fundamentally different purpose than data warehouses, in the sense that they are optimized for extremely high volumes of data that may or may not be structured. There are virtually no rules about what such data looks like. It is unstructured. Another Alternative to BYOD.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Octopai

MARCH 22, 2023

This can be more cost-effective than traditional data warehousing solutions that require a significant upfront investment. Support for multiple data structures. Unlike traditional data warehouse platforms, snowflake supports both structured and semi-structured data.

Cost-Benefit 103

Cost-Benefit Data Warehouse Unstructured Data Optimization 103

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Metadata 87

Metadata Big Data Optimization Machine Learning 87

Sisense

JUNE 30, 2020

The data drawn from power visualizations comes from a variety of sources: Structured data , in the form of relational databases such as Excel, or unstructured data, deriving from text, video, audio, photos, the internet and smart devices. Using visualizations to make smarter decisions.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

CIO Business Intelligence

MARCH 6, 2023

Advancements in analytics and AI as well as support for unstructured data in centralized data lakes are key benefits of doing business in the cloud, and Shutterstock is capitalizing on its cloud foundation, creating new revenue streams and business models using the cloud and data lakes as key components of its innovation platform. “We

Data Lake 88

Data Lake Cost-Benefit Recreation/Entertainment Unstructured Data 88

IBM Big Data Hub

JANUARY 10, 2024

AI development and deployment can come with data privacy concerns, job displacements and cybersecurity risks, not to mention the massive technical undertaking of ensuring AI systems behave as intended. In order to “teach” a program new information, the programmer must manually add new data or adjust processes.

Unstructured Data 75

Unstructured Data Deep Learning Cost-Benefit Machine Learning 75

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

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. Preserve/Dispose.

Unstructured Data 52

Unstructured Data Data Lake Business Objectives Metadata 52

Laminar Security

AUGUST 21, 2023

The Shifting Data Security Landscape Cloud service providers (CSPs) have revolutionized data analytics and data pipelines, presenting data security teams with novel challenges. The Importance of DSPM As data proliferates across the cloud, the need to identify and address privacy and security risks becomes paramount.

Management 40

Management Risk Unstructured Data Data Strategy 40

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. Spreadsheets are not typically developed and managed for enterprise use, which opens the door to risk from malicious actors, as well as human errors.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Why do risk and opportunity events matter?

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

SEPTEMBER 6, 2018

Handle increases in data volume gracefully. Represent entity relationships, to help determine ultimate beneficial owner, contribute to risk scoring, and facilitate investigations. Provide audit and data lineage information to facilitate regulatory reviews. Entity Resolution and Data Enrichment. Entity Risk Scoring.

Machine Learning 40

Machine Learning Big Data Risk Data Science 40

IBM Big Data Hub

JULY 6, 2023

You’ll also need to create a hybrid, AI-ready architecture that can successfully use data wherever it lives—on mainframes, data centers, in private and public clouds and at the edge. Your AI must be trustworthy because anything less means risking damage to a company’s reputation and bringing regulatory fines.

Deep Learning 56

Deep Learning Machine Learning Unstructured Data Modeling 56

AWS Big Data

APRIL 19, 2023

Different departments within an organization can place data in a data lake or within their data warehouse depending on the type of data and usage patterns of that department. However, these wide-ranging data types are typically stored in silos across multiple data stores.

Data Warehouse 59

Data Warehouse Data Lake Unstructured Data Optimization 59

IBM Big Data Hub

AUGUST 28, 2023

Data extraction Once you’ve assigned numerical values, you will apply one or more text-mining techniques to the structured data to extract insights from social media data. Crisis management and risk management: Text mining serves as an invaluable tool for identifying potential crises and managing risks.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Ontotext

NOVEMBER 2, 2023

The pathway forward doesn’t require ripping everything out but building a semantic “graph” layer across data to connect the dots and restore context. However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight.

IT 69

IT Cost-Benefit Data-driven Technology 69

bridgei2i

FEBRUARY 28, 2020

Today, with AI, more sophisticated rules can be developed which address the sparse data problems by factoring in alternate and behavioural data such as smart phone usage and payment behaviour. With AI, apart from the quantitative data, unstructured data systems can be assessed for risk management.

Risk Management 78

Risk Management Unstructured Data Machine Learning Digital Transformation 78

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 1, 2024

Its decoupled architecture—where storage and compute resources are separate—ensures that Trino can easily scale with your cloud infrastructure without any risk of data loss. Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations.

Dashboards 52

Dashboards Data Lake Reporting Cost-Benefit 52

CIO Business Intelligence

MARCH 11, 2025

Business alignment, value, and risk How can an enterprise know whether a business process is ripe for agentic AI? Does the business have the initial and ongoingresources to support and continually improve the agentic AI technology, including for the infrastructure and necessary data? Feaver says.

Consulting 127

Consulting Cost-Benefit Interactive ROI 127

BI-Survey

FEBRUARY 27, 2025

Leading-edge: Does it allow the implementation of enterprise governance frameworks for end-to-end oversight, enabling continuous compliance monitoring and dynamic risk assessments linked to changing data inputs? Advanced capabilities are needed that bring data catalogs closer to the actual data as a side-effect.

Unstructured Data 52

Unstructured Data Metadata Data Quality Data Governance 52

BI-Survey

FEBRUARY 13, 2025

Background and technological fit The partnership with Databricks underscores the high value of structured data, especially database records, for AI/ML model training and inference. This is consistent with BARC’s research showing structured tables are the most preferred input for AI/ML initiatives.

Cost-Benefit 52

Cost-Benefit Unstructured Data Strategy Data-driven 52