AIIM

AUGUST 10, 2021

Create an information governance team including representatives from IT, Records Management, Compliance, Legal, Information Security, and Line of Business. Make the most of metadata by utilizing systems that help automate how metadata is applied while retaining unstructured data in place. Bake governance into the process.

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 71

Unstructured data Artificial Intelligence Sales Manufacturing 71

AIIM

JANUARY 7, 2021

A recent study commissioned by Egnyte surveyed 400 IT leaders to understand how COVID-19 has impacted businesses’ ability to maintain data security and governance with a distributed workforce. A well-educated and well-informed workforce is one of the best defenses against security risks. On top of this, people make mistakes.

Unstructured data 168

Unstructured data Government Artificial Intelligence Risk 168

eSecurity Planet

MAY 30, 2023

In March, Microsoft announced its Security Copilot service. In a blog post , Microsoft boasted that the Security Copilot was the “first security product to enable defenders to move at the speed and scale of AI.” Of course, Microsoft isn’t the only one to leverage generative AI for security. million job openings.

Cybersecurity 128

Cybersecurity Unstructured data Security Privacy 128

AIIM

JUNE 8, 2021

The key is to use a migration engine that has a built-in data classification engine. Fueled by Machine Learning and AI, these types of tools are able to automate the process of dynamically routing sensitive data to secured locations while also transferring other content to appropriate locations based on the data type.

Data migration 159

Data migration Unstructured data Archiving Cloud 159

IBM Big Data Hub

MAY 14, 2024

The IBM Institute for Business Value CEO study on decision-making in the age of AI found the top priorities for CEOs are technology modernization and productivity, while the three biggest challenges are technology modernization, sustainability and security.

Unstructured data 75

Unstructured data Government Cloud Analytics 75

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 85

Analytics Retail Cloud Insurance 85

eSecurity Planet

AUGUST 4, 2022

It’s been a couple of decades since data tapes delivered by trucks made encryption a standard enterprise cybersecurity practice. Yet even as technology has changed, sending and receiving data remains a major vulnerability, ensuring encryption’s place as a foundational security practice.

Encryption 115

Encryption Computer and Electronics Cloud Passwords 115

IBM Big Data Hub

FEBRUARY 2, 2023

In addition, companies have complex data security requirements. However, over the past decade, a vast array of compliance and security standards, such as SOC2, PCI, HIPAA, and GDPR, have been introduced, and met by cloud providers.

Cloud 57

Cloud Analytics Unstructured data Compliance 57

Everteam

JULY 10, 2019

Know where your customer data lives, ensure that it is appropriately secured, and work actively to govern that data to minimize risk. Everteam works with organizations around the world to give them visibility into structured and unstructured data across their enterprise, wherever it lives.

GDPR 75

GDPR Compliance Unstructured data Data Privacy 75

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 88

Artificial Intelligence Retail Unstructured data Insurance 88

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 59

Data science Big data Analytics Mining 59

eSecurity Planet

DECEMBER 22, 2021

But in order for businesses to maintain compliance with major privacy laws , they have to have security measures in place before an attack. The regulations from GDPR, PIPL, and CCPA are especially prevalent to MSPs and software vendors because they get access to data from so many organizations, but all businesses need to comply with them.

GDPR 135

GDPR Compliance Data Privacy Privacy 135

Thales Cloud Protection & Licensing

OCTOBER 25, 2018

Critical infrastructure, as defined by Department of Homeland Security : describes the physical and cyber systems and assets that are so vital to the United States that their incapacity or destruction would have a debilitating impact on our physical or economic security or public health or safety. The Vormetric Data Security Platform.

Cybersecurity 66

Cybersecurity Education Unstructured data Big data 66

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

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

SEPTEMBER 9, 2022

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. The most common data quality problem statements.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

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

Archives Blogs

NOVEMBER 16, 2018

Deborah Frincke, Director of Research at the National Security Agency (NSA). Dr. Frincke argued that vast and growing sets of “noisy data” (volumes of structured and unstructured data), make AI indispensable to human analysts.

Unstructured data 26

Unstructured data Artificial Intelligence Government Communications 26

Collibra

JUNE 25, 2021

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. The most common data quality problem statements.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

CGI

OCTOBER 14, 2019

For more than 50 years, banks have relied on computers and software to manage and secure their data, as well as protect their customers’ interests. However, these repositories are too “after the event” to support machine learning and other advanced AI and analytics programs, which often need access to real-time data.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

Collibra

DECEMBER 1, 2020

Data lake management: Prevent a data swamp. A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured and unstructured data. The data structure and requirements are not defined until the data is needed.

Government 59

Government Analytics Marketing Unstructured data 59

eDiscovery Daily

AUGUST 7, 2018

And as a side note, for these same reasons and several others, the most important reason being that a DMS will change metadata when documents from outside the DMS are imported into it, a DMS is also not a good eDiscovery tool. These rules and policies can cover issues such as: Security. Data access. Data backup and/or disposal.

IT 31

IT Unstructured data Information governance Government 31

Everteam

APRIL 16, 2019

Apply appropriate security controls to prevent accidental disclosure or cyberhacking. There are many examples of the benefits of classification, but I’ll provide two: The first is responding to data subject requests from privacy regulations like upcoming CCPA or GDPR. Separate the good information from the ROT.

ROT 40

ROT Information governance Metadata Government 40

The Last Watchdog

JUNE 1, 2022

What good is connecting applications, servers and networks across the public cloud if you’re unable to securely operationalize the datasets that these interconnected systems store and access? Solving data sprawl has now become a focal point of cybersecurity. And addressing data security has become paramount.

Unstructured data 235

Unstructured data Sales Cloud Government 235

IBM Big Data Hub

SEPTEMBER 13, 2023

Digital transformation drives many IT investments, with a focus on adapting to new work models and customer expectations, increasing capacity to respond to higher demand, managing growth with fewer resources, enhancing eCommerce capabilities, and supporting security and compliance requirements.

Digital transformation 98

Digital transformation Unstructured data Artificial Intelligence Cloud 98

ARMA International

SEPTEMBER 22, 2021

This discussion will include methods, tools, and techniques such as using personae and identifying use cases that have high business value, while minimizing project risks. This is a “mind-shift” to leverage cloud-first capabilities, tools, and to deploy services that are outside the firewall. Cloud Enablement. That “something” is AI.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

AIIM

SEPTEMBER 23, 2019

It offers a set of tools that allows for easy collaboration in the workplace by integrating document management with digital asset management. Both DMS and CMS can be hosted on a third-party server whereby all the data are safely stored in the cloud. The data can be accessed from any device having a secure internet connection.

CMS 139

CMS Unstructured data e-Delivery Cloud 139

Info Source

JULY 12, 2018

But when it comes to unstructured data like documents, videos, and pictures, which exist en masse in enterprise environments, users can’t find things because their search tools are clunky and cumbersome.”. We have already sat down with Fortune 2000 customers who ask tough questions about security and architecture.

ECM 40

ECM Marketing Cloud Unstructured data 40

eSecurity Planet

OCTOBER 6, 2022

The DLL file, which offers a single export called maggie (hence DCSO’s name for the malware), is an Extended Stored Procedure (ESP) designed to fetch user-supplied arguments and return unstructured data. See the Top Database Security Solutions. Also read: 7 Database Security Best Practices. TCP Redirection.

Unstructured data 124

Unstructured data Cybersecurity Security IT 124

eSecurity Planet

SEPTEMBER 13, 2021

Key features in a top threat intelligence platform include the consolidation of threat intelligence feeds from multiple sources, automated identification and containment of new attacks, security analytics, and integration with other security tools like SIEM , next-gen firewalls (NGFW) and EDR. Top Threat Intelligence Platforms.

Analytics 113

Analytics Cybersecurity Risk Cloud 113

IBM Big Data Hub

DECEMBER 1, 2023

To align with key imperatives and transform their companies, insurers need to provide digital offerings to their customers, become more efficient, use data more intelligently, address cyber security concerns and have a resilient and stable offering.

Insurance 106

Insurance Digital transformation Customer Experience Cloud 106

OpenText Information Management

APRIL 15, 2024

We, at OpenText, lead groundbreaking digital transformations, providing our customers with essential tools to navigate the ever-evolving business landscape. With this tool, teams can effortlessly seek information about technical features – systems, tasks, and tests, for example - presented in user-friendly language.

Cloud 96

Cloud Analytics Digital transformation Customer Experience 96

Reltio

OCTOBER 9, 2022

Benefits of a Big Data Management Plan. Forbes reported that 95 percent of businesses say they struggle to manage unstructured data. Big data management involves understanding the 5Vs of big data and using the right tools, technologies, people and processes to manage it effectively. Data Quality.

Big data 52

Big data MDM Unstructured data Analytics 52

OpenText Information Management

APRIL 15, 2024

We, at OpenText, lead groundbreaking digital transformations, providing our customers with essential tools to navigate the ever-evolving business landscape. With this tool, teams can effortlessly seek information about technical features – systems, tasks, and tests, for example - presented in user-friendly language.

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

IBM Big Data Hub

AUGUST 1, 2023

Together with data stores, foundation models make it possible to create and customize generative AI tools for organizations across industries that are looking to optimize customer care, marketing, HR (including talent acquisition) , and IT functions.

Artificial Intelligence 60

Artificial Intelligence Marketing Unstructured data Manufacturing 60