Big data and Unstructured data - Information Management Today

The Difference Between Unstructured Data and Structured Data

AIIM

APRIL 30, 2024

Information represents all the data you manage within your organization. Information means both structured and unstructured data. My favorite explanation of information is from Steve Weissman, CIP, who told me that he simply refers to information as "stuff in a box."

Unstructured data

Unstructured data Artificial Intelligence Big data

HP: The big data trucks aren't stopping

Collaboration 2.0

AUGUST 25, 2011

Don’t overlook the value of Autonomy and their competitors helping make sense of unstructured data at scale as HP struggle to remain relevant

Big data

Big data Unstructured data

Artificial intelligence (AI) as an Enabler for Enhanced Data Security

Security Affairs

FEBRUARY 11, 2025

AI-driven systems overcome these limitations by using advanced machine learning models and context-aware algorithms to recognize complex data types, providing a more reliable and dynamic classification framework. This is particularly useful for unstructured data (as found in most document stores, email and messaging systems, etc.)

Artificial Intelligence

Artificial Intelligence Security Unstructured data Cloud

Webinars

How to Achieve High-Accuracy Results When Using LLMs

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Integrating Structured and Unstructured Data; Are we there already?

Everteam

MARCH 12, 2019

“By 2022, 50% of organizations will include unstructured, semistructured and structured data within the same governance program, up from less than 10% today.” Gartner Market Guide for File Analytics. Much of the data we manage today is semi-structured, so why have separate solutions to manage each one?

Unstructured data

Unstructured data Metadata Information governance Government

Data-Centric Security and Big Data

Thales Cloud Protection & Licensing

OCTOBER 9, 2018

It’s called the “Zero-Trust Model” and nothing supports it like data-centric security since the methods used can render data useless if it is ever stolen or removed from the enterprise. The Big Data Conundrum. Effective data-centric security solutions are the only reasonable path to realizing a Zero-Trust Model.

Big data

Big data Security Encryption Unstructured data

The Future of Information Governance: Trends Shaping 2025 and Beyond

Gimmal

NOVEMBER 7, 2024

The Proliferation of Unstructured Data Trend Overview Unstructured data—such as emails, images, videos, and social media content—is growing exponentially. By 2025: Unstructured Data Will Dominate: It’s projected that unstructured data will account for approximately 90% of all data generated.

Information governance

Information governance Government Unstructured data Analytics

How to Improve Your Big Data Management

Reltio

OCTOBER 9, 2022

Improve Your Company’s Big Data Management for Increased ROI. quintillion bytes of data is created on the internet every day. Even the data that matters to your business is usually unstructured and disorganized, with lots of duplicates and inaccuracies. What is Big Data? The Five Vs of Big Data.

Big data

Big data MDM Unstructured data Analytics

Sample-based analysis: A new approach for unstructured data management

IBM Big Data Hub

AUGUST 9, 2019

Introducing IBM StoredIQ Instascan for accelerated compliance and risk assessments. Read to learn more.

Unstructured data

Unstructured data Compliance Risk

Are critical business insights hiding inside your unstructured data?

IBM Big Data Hub

FEBRUARY 5, 2018

The search function is a very powerful tool, assuming you have concrete keywords or concepts to find in your data. And that does not even take into account the size of the information you might be searching.

Unstructured data

Accelerating unstructured data compliance with a new approach: sampling

IBM Big Data Hub

SEPTEMBER 6, 2019

The initial goal of sampling is to assess where the highest compliance risk areas are within your enterprise. Read blog to learn how IBM StoredIQ InstaScan accelerates this.

Unstructured data

Unstructured data Compliance Risk

5 key learnings from the Gartner Data and Analytics Summit 2019

OpenText Information Management

APRIL 4, 2019

Last week, OpenText joined thousands of IT and business leaders at this year’s Gartner Data & Analytics Summit in Orlando.

Analytics

Analytics Unstructured data Big data IT

Key steps on the road to LGPD compliance

Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

As per Article 38, every organization needs to have a clear understanding of their data and a formal process must be defined to manage it- where it’s located, the type of data that is being held and the type of protection being applied. Reduced Risk of Exposure.

Compliance

Compliance Unstructured data Personal data Big data

Real-time artificial intelligence and event processing

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. Events as fuel for AI Models: Artificial intelligence models rely on big data to refine the effectiveness of their capabilities.

Artificial Intelligence

Artificial Intelligence Unstructured data Analytics Customer Experience

What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

JANUARY 17, 2020

Organizations that adopt the Any 2 approach can expect greater consistency, clarity and artifact reuse across large-scale data integration, master data management, metadata management, Big Data and business intelligence/analytics initiatives. The Advantages of NoSQL Data Modeling. SQL or NoSQL?

Metadata

Metadata Digital transformation Unstructured data Artificial Intelligence

Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Unstructured data

Unstructured data Metadata Analytics GDPR

5 fundamental questions for your data journey

IBM Big Data Hub

MAY 22, 2018

To accelerate its journey to AI, a data-driven organization needs a trusted data foundation that empowers information stakeholders. Stakeholders need the ability to discover, understand, integrate, analyze, govern and self-serve structured and unstructured data — on premises, on cloud, and hybrid — at any scale.

Unstructured data

Unstructured data Cloud Government IT

TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

MAY 19, 2023

In addition, to address the data loss issue, PT Aegis suggested replication and backups to IBM Cloud Object Storage , a highly scalable and secure cloud storage service that provides a flexible and cost-effective way to store and manage large amounts of unstructured data.

Cloud

Cloud Unstructured data Customer Experience Manufacturing

US Open heralds new era of fan engagement with watsonx and generative AI

IBM Big Data Hub

AUGUST 17, 2023

Structured historical data about every player is combined with an analysis of unstructured data (language and sentiment derived from millions of news articles about athletes in the tournament), using watsonx.data and watsonx.ai. million data points are captured, drawn from every shot of every match.

Unstructured data

Unstructured data Metadata Government IT

Master? ?Data? ?Management? ?Trends? ?to? ?Get? ?Ahead? ?With?

Reltio

JANUARY 28, 2021

MDM’s Role: Incorporating all transactions and interactions, unstructured data from social media, help chats, video, and audio to create a single view of customer overhauls a company’s ability to understand their customers’ needs. . #2 Both require an MDM platform with Big Data architecture. #4 3 Using unstructured data

MDM

MDM IoT Customer Experience Retail

How to Prepare for the Future of Healthcare Digital Security

Thales Cloud Protection & Licensing

MARCH 5, 2018

In an effort to meet compliance requirements – and with an eye towards cutting costs – the healthcare industry has turned its attention towards embracing digitally transformative technologies, including cloud, big data, Internet of Things and containers. respondents reported using these technologies with sensitive data.

Digital transformation

Digital transformation Security Encryption Compliance

Companies need help making the dream of digital transformation a reality

IBM Big Data Hub

SEPTEMBER 13, 2023

For example, when a customer contacts the business via chat, email or social media, that text or voice recording is unstructured data that needs to be collected and analyzed as part of the interaction. This is especially important in customer interactions.

Digital transformation

Digital transformation Unstructured data Cloud Artificial Intelligence

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data science

Data science Analytics Unstructured data Artificial Intelligence

What is Digital Sovereignty and Why is it Important in a Cloud Environment?

Thales Cloud Protection & Licensing

MAY 26, 2022

At Thales, we protect everything from big data, intellectual property, financial data, IOT, payments, enterprise data (such as structured data in relational databases and unstructured data like those files you save on file servers or file storage that can reside all over the place with sensitive data in it).

Cloud

Cloud IT Encryption Unstructured data

IBM Watson and ESPN use AI to transform fantasy football data into insight

IBM Big Data Hub

OCTOBER 12, 2022

To identify and distill the insights locked inside this sea of “unstructured” data, ESPN collaborated with IBM to teach Watson the language of football. But for decades, this treasure trove of expertise went largely untapped by fantasy footballers, who could only consume a tiny fraction of this highly valuable content. Not anymore.

Unstructured data

Unstructured data Cloud Risk IT

Retailers can tap into generative AI to enhance support for customers and employees

IBM Big Data Hub

DECEMBER 5, 2023

Generative AI excels at handling diverse data sources such as emails, images, videos, audio files and social media content. This unstructured data forms the backbone for creating models and the ongoing training of generative AI, so it can stay effective over time.

Retail

Retail Unstructured data Artificial Intelligence Sales

Don't Encrypt Everything; Protect Intelligently

Thales Cloud Protection & Licensing

NOVEMBER 11, 2021

CipherTrust Intelligent Protection finds any type of data wherever it resides. The solution automatically discovers and classifies both structured and unstructured data in file servers, databases, the cloud, big data repositories, and so forth.

Encryption

Encryption Unstructured data Risk Cloud

Breaking down the advantages and disadvantages of artificial intelligence

IBM Big Data Hub

JANUARY 10, 2024

AI can also work from deep learning algorithms, a subset of ML that uses multi-layered artificial neural networks (ANNs)—hence the “deep” descriptor—to model high-level abstractions within big data infrastructures. Traditionally coded programs also struggle with independent iteration.

Artificial Intelligence

Artificial Intelligence Unstructured data Data science Customer Experience

Will generative AI make the digital twin promise real in the energy and utilities industry?

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.

Energy and Utilities

Energy and Utilities Unstructured data Artificial Intelligence IoT

The Campaign for Real Analytics

CGI

DECEMBER 12, 2012

The surge of interest in “big data” has swung our telescopes towards analytics … but we’ve yet to adjust the focus to see what really matters. I’d like to persuade you that we should divert our collective enthusiasm for “Big Data”, and focus instead on the enormous value of carefully considered analytics.

Analytics

Analytics Big data Unstructured data Retail

How IBM sports and entertainment partnerships transform an industry—and win an Emmy

IBM Big Data Hub

APRIL 18, 2023

” Pioneering use of unstructured text data For over a decade, IBM has been gathering insight from unstructured data (such as that used in large language models) to provide real-time insight to its sports and entertainment clients and to enhance predictive analysis.

Unstructured data

Unstructured data Artificial Intelligence Cloud IT

Driving new revenue streams through artificial intelligence and advanced analytics

CGI

OCTOBER 14, 2019

The next stage is to identify where you will source the data. Historically, organizations built big data repositories to drive reporting from a consistent view of the data. The other issue with big data is that it contains structured data, whereas AI and analytics can use unstructured data.

Artificial Intelligence

Artificial Intelligence Analytics Customer Experience Big data

Predicting the winners: How IBM uses data and AI at the US Open to drive insights and fan engagement

IBM Big Data Hub

AUGUST 16, 2022

This process begins with solid and reliable data. At the US Open, this comprises a massive volume of structured and unstructured data from a wide variety of sources: Data on 128 men and 128 women players, including age, height, weight, tour ranking and recent performance.

Unstructured data

Unstructured data Artificial Intelligence Analytics Cloud

IBM and TechD partner to securely share data and power insights with gen AI

IBM Big Data Hub

APRIL 16, 2024

Also, Db2 seamlessly integrates with watsonx Assistant’s natural language processing capabilities to analyze unstructured data and derive insights. Watsonx Assistant retrieves information from Db2 databases to answer user queries and performs actions based on user requests.

Security

Security Unstructured data Retail Analytics

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? This post will dive deeper into the nuances of each field.

Data science

Data science Big data Analytics Mining

Best Encryption Software for 2022

eSecurity Planet

AUGUST 4, 2022

Micro Focus bills Voltage SecureData as a cloud-native solution that’s useful for secure high-scale cloud analytics, hybrid IT environments, payment data protection, SaaS apps and more. Protects both structured and unstructured data. Protection for data in use, at rest, in the cloud, and in analytics.

Encryption

Encryption Computer and Electronics Cloud Passwords

Cybersecurity Awareness Month Blog Series: Using Technology to Safeguard the Nation’s Critical Infrastructure

Thales Cloud Protection & Licensing

OCTOBER 25, 2018

If we focus primarily on perimeter defense, we will continue to see data breaches and exposure to our critical infrastructure. Perimeter defense, while necessary, is not enough to protect our sensitive data. With the Vormetric Data Security Platform, agencies can establish strong safeguards around sensitive data.

Cybersecurity

Cybersecurity Education Unstructured data Risk

Data architecture strategy for data quality

IBM Big Data Hub

JANUARY 5, 2023

The first generation of data architectures represented by enterprise data warehouse and business intelligence platforms were characterized by thousands of ETL jobs, tables, and reports that only a small group of specialized data engineers understood, resulting in an under-realized positive impact on the business.

Metadata

Metadata Analytics Big data Unstructured data

The Pushmi-Pullyu Impact of Technology Innovation on Information Preservation

AIIM

MARCH 13, 2018

Lastly, enter big data technologies to help link all of this together. Ancestry currently manages about 10 petabytes of structured and unstructured data, including billions of records detailing births, marriages, deaths, military service, and immigration. Not to mention the addition of DNA information to all of this.).

Digital preservation

Digital preservation Archiving Records Management Paper

8 Best Practices for Getting the Most From Master Data Management

Reltio

JANUARY 28, 2021

The best practice to combine different types of master data goes far beyond your internal data sets. Using data to win in your market means using data that your competitors can’t access, like your business’ unique Big Data, IoT, and unstructured data in videos, chats, and audio.

MDM

MDM Customer Experience Government Marketing

Augmented intelligence key to unlocking value of siloed data, says study

Information Management Resources

DECEMBER 15, 2017

This includes systems that partner with people on well-defined tasks by combing through massive amounts of structured and unstructured data to detect patterns, relationships and insights.

Unstructured data

Unstructured data Big data

How generative AI delivers value to insurance companies and their customers

IBM Big Data Hub

DECEMBER 1, 2023

To achieve digital transformation with AI, insurance companies need to get a good understanding of structured and unstructured data, organize it, manage it in a secure manner (while complying with industry regulations) and enable instant access to the “right” data.

Insurance

Insurance Digital transformation Customer Experience Cloud

Looking for a needle in a haystack couldn’t be easier!

CGI

FEBRUARY 11, 2013

Big data is a massive opportunity. We’ve all seen the big data statistics: every minute 1,820 TB of data is created, 204m emails and 11 million instant messages are sent, 700,000 Google searches are made and businesses receive 35,000 Facebook likes. Looking for a needle in a haystack couldn’t be easier!

Mining

Mining Big data Analytics Unstructured data

IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

IBM Big Data Hub

OCTOBER 3, 2023

Managers can also use the AI models to analyze structured and unstructured data to compare players, estimate the potential upside and downside of starting a particular player and assess the impact of an injury. Once the managers have these insights, they can move ahead with the trade, cancel it or edit the trade package.

Unstructured data

Unstructured data Cloud Risk Artificial Intelligence

Building AI for business: IBM’s Granite foundation models

IBM Big Data Hub

SEPTEMBER 7, 2023

Our selection of datasets was targeted at the needs of business users and includes data from the following domains: Internet: generic unstructured language data taken from the public internet Academic: technical unstructured language data, focused on science and technology Code: unstructured code data sets covering a variety of coding languages Legal: (..)

Artificial Intelligence

Artificial Intelligence Unstructured data Risk Compliance

The Difference Between Unstructured Data and Structured Data

HP: The big data trucks aren't stopping

Webinars

Trending Sources

Artificial intelligence (AI) as an Enabler for Enhanced Data Security

Webinars

Integrating Structured and Unstructured Data; Are we there already?

Data-Centric Security and Big Data

The Future of Information Governance: Trends Shaping 2025 and Beyond

How to Improve Your Big Data Management

Sample-based analysis: A new approach for unstructured data management

Are critical business insights hiding inside your unstructured data?

Accelerating unstructured data compliance with a new approach: sampling

5 key learnings from the Gartner Data and Analytics Summit 2019

Key steps on the road to LGPD compliance

Real-time artificial intelligence and event processing

What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

Measure Twice, Cut Once: How the Right Data Modeling Tool Drives Business Value

5 fundamental questions for your data journey

TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

US Open heralds new era of fan engagement with watsonx and generative AI

Master? ?Data? ?Management? ?Trends? ?to? ?Get? ?Ahead? ?With?

How to Prepare for the Future of Healthcare Digital Security

Companies need help making the dream of digital transformation a reality

Data science vs data analytics: Unpacking the differences

What is Digital Sovereignty and Why is it Important in a Cloud Environment?

IBM Watson and ESPN use AI to transform fantasy football data into insight

Retailers can tap into generative AI to enhance support for customers and employees

Don't Encrypt Everything; Protect Intelligently

Breaking down the advantages and disadvantages of artificial intelligence

Will generative AI make the digital twin promise real in the energy and utilities industry?

The Campaign for Real Analytics

How IBM sports and entertainment partnerships transform an industry—and win an Emmy

Driving new revenue streams through artificial intelligence and advanced analytics

Predicting the winners: How IBM uses data and AI at the US Open to drive insights and fan engagement

IBM and TechD partner to securely share data and power insights with gen AI

Data science vs. machine learning: What’s the difference?

Best Encryption Software for 2022

Cybersecurity Awareness Month Blog Series: Using Technology to Safeguard the Nation’s Critical Infrastructure

Data architecture strategy for data quality

The Pushmi-Pullyu Impact of Technology Innovation on Information Preservation

8 Best Practices for Getting the Most From Master Data Management

Augmented intelligence key to unlocking value of siloed data, says study

How generative AI delivers value to insurance companies and their customers

Looking for a needle in a haystack couldn’t be easier!

IBM and ESPN use AI models built with watsonx to transform fantasy football data into insight

Building AI for business: IBM’s Granite foundation models

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