Timo Elliott

JANUARY 3, 2022

But to extract it, the data typically needs to be translated into other forms, reanalyzed, and turned into action. This is where new technologies and new opportunities come into play. But the latest machine learning algorithms can help us detect and identify patterns in the data – once some common problems are addressed.

IT 143

IT Unstructured Data Data Quality Machine Learning 143

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

Data Quality 304

Data Quality Metadata Data Governance Publishing 304

CIO Business Intelligence

MAY 8, 2024

This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies.

Data Integration 59

Data Integration IoT Cost-Benefit Data Quality 59

CIO Business Intelligence

APRIL 24, 2024

It’s universally accepted that to thrive, enterprises must embrace transformation through technology. The challenge of digital transformation projects lies not so much in the technological implementation, but in the operational change required of people and the entire business organization,” he says.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

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 Digital Transformation 105

CIO Business Intelligence

JUNE 7, 2022

Even before the pandemic, the financial services industry was being disrupted by fintech companies with mobile applications and technologies like Blockchain and cryptocurrency. NLP solutions can be used to analyze the mountains of structured and unstructured data within companies. Intel® Technologies Move Analytics Forward.

Unstructured Data 98

Unstructured Data Deep Learning Insurance Interactive 98

Ontotext

MARCH 20, 2024

Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Studies reveal that businesses lose significant time and opportunities due to missing integrations and poor data quality and accessibility.

Data-driven 52

Data-driven Strategy Sales Data Integration 52

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

CIO Business Intelligence

APRIL 19, 2023

An important part of any data modernization initiative is eliminating data siloes to improve decision making and customer experience. As new technologies are implemented and data migrates, new pockets of siloed data can emerge, necessitating the use of multiple applications and systems to keep everything in line.

Digital Transformation 98

Digital Transformation Data Governance Unstructured Data Risk 98

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Ontotext

JANUARY 29, 2024

In 2023, data leaders and enthusiasts were enamored of — and often distracted by — initiatives such as generative AI and cloud migration. LLMs can optimize several tasks, such as updating taxonomies, classifying entities, and extracting new properties and relationships from unstructured data.

Strategy 52

Strategy Management Metadata Data-driven 52

CIO Business Intelligence

SEPTEMBER 2, 2022

New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

New technologies, such as cryptocurrency and digital banking, have the potential to bridge opportunity gaps in financial services that have existed for decades. But financial services companies need skilled IT professionals to help manage the integration of new and emerging technology, while modernizing legacy finance tech.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 9, 2022

Data scientists use data science to discover insights from massive amounts of structured and unstructured data to shape or meet specific business needs and goals. Data engineer vs. data architect. The data engineer and data architect roles are closely related and frequently confused.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

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. The third challenge is how to combine data management with analytics. Ontotext Knowledge Graph Platform.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Ontotext

DECEMBER 1, 2023

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

Metadata 78

Metadata Sales Consulting Enterprise 78

Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. Other Technologies. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Machine Learning Technology. The challenge? Conclusion.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Jedox

OCTOBER 22, 2020

Today, though, the growing volume of data (currently measured in brontobytes = 10^ 27th power) and the advanced technologies available mean you can get much deeper insights much faster than you could in the past. In addition to using data to inform your future decisions, you can also use current data to make immediate decisions.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Why should this be on their technology roadmap?

Data Lake 79

Data Lake Data Architecture Data-driven Data Warehouse 79

Ontotext

JANUARY 6, 2021

Reuse of knowledge from third party data providers and establishing data quality principles to populate it. Ontotext worked with a global research-based biopharmaceutical company to solve the problem of inefficient search across dispersed and vast sources of unstructured data.

Metadata 59

Metadata Unstructured Data Cost-Benefit Enterprise 59

Octopai

MARCH 22, 2023

Snowflake data warehouse platform has been designed to leverage the power of modern-day cloud computing technology. Scalability: Snowflake’s architecture allows it to scale up or down quickly, depending on the volume of data being processed. This means you can easily accommodate growth and handle larger data sets.

Cost-Benefit 78

Cost-Benefit Data Warehouse Unstructured Data Optimization 78

Hurwitz & Associates

JULY 10, 2018

IoT is supported by a variety of technologies – computer systems, networks, end user devices, software – but at the heart of IoT is the collection, storage, processing, and analysis of data. Data growth is nothing new, of course. The amounts of data a highly scaled IoT environment represents raise the stakes here.

IoT 40

IoT Management Unstructured Data Internet of Things 40

CIO Business Intelligence

MARCH 29, 2022

An even larger issue is that people may not know how to see value in data. Recognizing what data can tell you is an acquired skill for people beyond just data scientists. New approaches are being developed to understand and use unstructured data, for instance. About Ellen Friedman.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

Octopai

JUNE 24, 2019

“Data governance” is data management policy that ensures the integrity, availability, and efficiency of data within a company. This policy includes specialists, processes, and technology used to manage data. Document classification and lifecycle management will help you deal with oversight of unstructured data.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

FineReport

APRIL 26, 2023

Veracity pertains to the reliability and quality of data, including potential biases, abnormalities, or inconsistencies. By leveraging Big Data technologies, companies can collect, store, and analyze information to make informed decisions and improve their operations. Why do Enterprises Need Big Data Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

O'Reilly on Data

SEPTEMBER 24, 2018

For big data, this isn't just making sure cluster processes are running. A DataOps team needs to do that and keep an eye on the data. With big data, we're often dealing with unstructured data or data coming from unreliable sources. They know how to operate the big data frameworks.

Enterprise 199

Enterprise Big Data Data Quality Unstructured Data 199

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. Data comes in many forms.

Data Architecture 86

Data Architecture Data Governance Unstructured Data Structured Data 86

CIO Business Intelligence

MARCH 9, 2022

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

DataKitchen

APRIL 13, 2021

Piperr.io — Pre-built data pipelines across enterprise stakeholders, from IT to analytics, tech, data science and LoBs. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Genie — Distributed big data orchestration service by Netflix. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Quality 300

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Poor data quality.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

IBM Big Data Hub

AUGUST 1, 2022

Data complexity simplified by the digitization of data storage . One of the most prevalent times in data evolution was the Information Explosion of 1961, in which there were tremendous economic and technological innovations due to a rapid increase in the production rate of new information. ” . 1964 System/360:

Unstructured Data 52

Unstructured Data Deep Learning Data Quality Data Architecture 52

Occam's Razor

MARCH 12, 2012

Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" So what is big data really? As I interpret it, big data is the collection of massive databases of structured and unstructured data. " I don't think so.

Big Data 127

Big Data Data-driven Unstructured Data Marketing 127

IBM Big Data Hub

JANUARY 17, 2023

The rise of cloud object storage has driven the cost of storage down and new technologies have evolved to access and query the data stored in there more efficiently. A data lakehouse platform takes advantage of the low-cost storage and leverages the latest query engine to provide warehouse-like performance.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

Analytics 89

Analytics Machine Learning Unstructured Data Digital Transformation 89

AWS Big Data

JULY 20, 2023

Orca connects to your environment in minutes with patented SideScanning technology to provide complete coverage across vulnerabilities, malware, misconfigurations, lateral movement risk, weak and leaked passwords, overly permissive identities, and more. In addition, we describe the Orca Platform architecture and the technologies used.

Data Lake 88

Data Lake Analytics Snapshot Optimization 88

Grooper

AUGUST 19, 2019

Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. People-process-technology speak is no longer enough to traverse the technological landscape. C-level executives and professionals alike must learn to speak a new language - data.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54