Zapproved

MARCH 17, 2022

We once thought that large, heavy, top-down InfoGov tools would solve our unstructured data problems. We thought that we would have an easily searchable index of all ESI created by our companies, and that we could, with a minimum amount of stress or effort, go into those systems to cherry pick the ESI that we […].

Metadata 52

Metadata Unstructured data Risk 52

Thales Cloud Protection & Licensing

DECEMBER 11, 2023

Part of this process includes identifying where and how data is stored—on-premises, in third-party servers or in the cloud. While an organization might already know the location of structured data such as a primary customer database store, unstructured data (such as that found in stray files and emails) is more difficult to locate.

Unstructured data 83

Unstructured data Cloud Data Privacy GDPR 83

eSecurity Planet

FEBRUARY 8, 2023

Applicable Metrics ThreatStream consumes both structured and unstructured data from hundreds of threat intelligence feeds, processing millions of Indicators of Compromise (IOCs). Markets and Use Cases Anomali says it provides value for any organization across any industry vertical that is looking to leverage threat intelligence.

Unstructured data 98

Unstructured data Analytics Phishing Security 98

Security Affairs

MARCH 8, 2024

” “A considerable amount of analysis was required to determine how much data was leaked and the owners of the leaked data. Suitable tools were required to process unstructured data records and make their contents readable.” This investigation is expected to be completed by the end of March 2024.”

Ransomware 125

Ransomware Data breaches Unstructured data Personal data 125

IBM Big Data Hub

APRIL 16, 2024

This addresses data management, conversational interface and natural language processing needs with efficiency. Also, Db2 seamlessly integrates with watsonx Assistant’s natural language processing capabilities to analyze unstructured data and derive insights.

Security 91

Security Unstructured data Retail Analytics 91

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 95

Retail Unstructured data Artificial Intelligence Sales 95

Rocket Software

JULY 5, 2022

Step 1: Organize your existing data and processes . Your business has lots of structured and unstructured data to audit in various systems that impact customers, your business’s financial accuracy, and overall information governance posture. impactful opportunities .

Unstructured data 72

Unstructured data Analytics Compliance Information governance 72

AIIM

AUGUST 10, 2021

Make the most of metadata by utilizing systems that help automate how metadata is applied while retaining unstructured data in place. Teams provides a rich set of tools to implement any number of information governance capabilities, and 3rd party apps extend the possibilities beyond simply using Teams for video conferencing.

Information governance 136

Information governance Government ROT Unstructured data 136

OpenText Information Management

APRIL 25, 2024

By harnessing vast streams of data generated during the race, we provide Jaguar TCS Racing with a dynamic competitive edge. Our real-time data analytics platform OpenText™ Vertica™ and our unstructured data analytics platform, OpenText™ IDOL ™ ,enable the team to make informed decisions in the heat of the moment.

Analytics 73

Analytics Unstructured data IT Security 73

IBM Big Data Hub

DECEMBER 19, 2023

Common machine learning algorithms for supervised learning include: K-nearest neighbor (KNN) algorithm : This algorithm is a density-based classifier or regression modeling tool used for anomaly detection. Regression modeling is a statistical tool used to find the relationship between labeled data and variable data.

Unstructured data 74

Unstructured data Artificial Intelligence Sales Manufacturing 74

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 87

Data science Analytics Unstructured data Artificial Intelligence 87

AIIM

JUNE 8, 2021

There is a more elegant approach for data migration that provides a number of important advantages. The key is to use a migration engine that has a built-in data classification engine. This can even include automatically sending low-value data to archival storage platforms. Think of it as a modern coin sorter for your content.

Data migration 159

Data migration Unstructured data Archiving Cloud 159

eSecurity Planet

SEPTEMBER 22, 2022

Tools such as endpoint detection and response (EDR) and extended detection and response (XDR) send an increasing number of alerts to provide that visibility. To address that limitation, a new tool is emerging: Security data lakes (SDLs), which might provide a solution that enables unfiltered visibility for security teams.

Security 117

Security Analytics Cloud Unstructured data 117

AIIM

JANUARY 7, 2021

Five Recommendations for Operationalizing Security for Productivity and Governance: Inventory Your Data: Know what you have, who has access to it, and where it is. A comprehensive scan of unstructured data stores can provide visibility into the highest-value data, which most often represents the biggest risks.

Unstructured data 168

Unstructured data Government Artificial Intelligence Risk 168

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. End User Tools. Business Focus.

Cloud 52

Cloud Unstructured data Data structuring Analytics 52

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data.

Analytics 88

Analytics Retail Cloud Insurance 88

CILIP

JUNE 26, 2019

Stephan will make a presentation as part of breakout on breakout on data behaviour with Julian Schwarzenbach and Caroline Carruthers at the forthcoming CILIP Conference 2019 in Manchester, in which he will be focusing on the use of unstructured data in libraries. What will be the benefit from analysing unstructured data with AI?

Libraries 40

Libraries Unstructured data Artificial Intelligence Archiving 40

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Artificial Intelligence 91

Artificial Intelligence Retail Unstructured data Insurance 91

Info Source

FEBRUARY 22, 2018

As CFO, Goel will enact a progressive and responsible fiscal model as Ephesoft scales to meet the growing global demand for its technology, which enables organizations to mine their unstructured data. Naren has quantifiable experience instituting smart and actionable fiscal plans at growing software companies.

Unstructured data 40

Unstructured data Analytics Mining Cloud 40

Everteam

JULY 10, 2019

Since enterprise applications and data sources are often far-flung and diverse, flexible tools for discovering what’s out there and better governing it via coherent policies are essential to assessing and addressing any vulnerabilities.

GDPR 75

GDPR Compliance Unstructured data Data Privacy 75

Info Source

NOVEMBER 5, 2019

This collaboration will address challenges specific to Thai organizations that seek to better manage and process unstructured data within their operations, and ultimately minimize manual processes to drive efficiency, accuracy and productivity.

Unstructured data 40

Unstructured data Insurance Artificial Intelligence Marketing 40

AIIM

SEPTEMBER 2, 2021

The retention schedule must apply to all the data in an organization’s possession, not just information officially classified as “records.” Technology can assist with alerts and automation that communicates to systems and data stewards when adjustments are needed. Conclusion. Ready to get started?

IT 186

IT Unstructured data Privacy Compliance 186

eSecurity Planet

MAY 30, 2023

Unlike traditional deep learning systems – which generally analyze words or tokens in small bunches – this technology could find the relationships among enormous sets of unstructured data like Wikipedia or Reddit. This involved assigning probabilities to the tokens across thousands of dimensions.

Cybersecurity 131

Cybersecurity Unstructured data Security Privacy 131

eSecurity Planet

AUGUST 4, 2022

They were once thought hacker-proof, but the bad guys steadily upped their game and they, too, now pack a lot of processing power into their nefarious tools. There are far too many encryption tools to cover them all here. Opaque Systems enables machine-learning and analytics on end-to-end encrypted data in the cloud.

Encryption 132

Encryption Computer and Electronics Cloud Passwords 132

erwin

JANUARY 9, 2020

They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. New ODBC query tool for creating and running custom model and metadata reports.

Government 144

Government Metadata Unstructured data GDPR 144

IBM Big Data Hub

FEBRUARY 2, 2023

To mitigate these complexities, organizations should evaluate whether a hybrid-cloud version of their existing data warehouse vendor can satisfy their use cases, before considering a move to a different platform.

Cloud 57

Cloud Analytics Unstructured data Compliance 57

IBM Big Data Hub

JULY 12, 2023

Generative AI is changing the game Generative AI can be applied to an array of use cases, such as sorting and classifying written input, transforming domain-specific text into personalized summaries, identifying and extracting essential information from unstructured data, and generating code, marketing content and more.

Unstructured data 60

Unstructured data Government Compliance Marketing 60

IBM Big Data Hub

JULY 6, 2023

What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets. It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. This post will dive deeper into the nuances of each field.

Data science 62

Data science Big data Analytics Mining 62

Everteam

OCTOBER 28, 2019

These standards are now important tools to facilitate the smooth and accurate flow of information between the various actors in the archiving process: producers, archiving services (including digital archiving software platforms and physical archiving service providers) and consumers.

Archiving 40

Archiving Unstructured data Information governance Metadata 40

eSecurity Planet

JANUARY 18, 2024

According to Unitrends’ 2019 cloud storage research, 62% of respondents had successfully recovered data from the cloud. This trend is expected to increase as Gartner projects a threefold rise in unstructured data capacity by 2026. The increased scalability of cloud storage can assist effective data recovery solutions.

Cloud 125

Cloud Risk Security Encryption 125

Collibra

SEPTEMBER 9, 2022

Quality of data can degrade over time, and data can lose its integrity during the journey across various systems. Automating data management can help you to some extent, but dedicated data quality tools can deliver much better data accuracy. The most common data quality problem statements.

Analytics 96

Analytics Customer Experience Marketing Unstructured data 96

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. It synthesizes the information across your data ecosystem—from data lakes, data warehouses, and other data repositories—to empower authorized users to search for and access business-ready data for their projects and initiatives.

Metadata 52

Metadata Data Privacy Access Libraries 52

Collibra

FEBRUARY 3, 2022

Because of their flexibility, data lakes are much more cost-effective. But these advantages can turn data lakes quickly into data swamps. . For example, unstructured data needs rapid processing to feed the analytical tools. Or choosing the relevant data requires insights into the data lineage.

Metadata 52

Metadata Analytics Unstructured data Government 52

eSecurity Planet

DECEMBER 22, 2021

If you’re currently storing data on individuals that haven’t given their consent and it doesn’t fall into one of the appropriate use categories, you need to give those people the option of withdrawing their consent. Also Read: Top GRC Tools & Software for 2022. Also Read: Best Incident Response Tools and Software for 2022.

GDPR 144

GDPR Compliance Data Privacy Privacy 144

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. It defines the functionality of the data captured, definition of the data, definition of the elements, and definition of how the data is used within the business.

Metadata 132

Metadata Unstructured data Compliance Sales 132

CGI

JULY 16, 2013

I also explained the differences between Structured Data – data in fields such as ‘name’, ‘address’, ‘email address’ etc. and Unstructured Data – i.e data contained within the body of an email such as a phone number (think about your e-Signature as an example).

Unstructured data 40

Unstructured data e-Discovery Analytics Risk 40

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Mining 60

Mining Marketing Artificial Intelligence Customer Experience 60