Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

Additionally, organizations are obligated to report any data security incidents or breaches to Brazilian national authorities. Access to data and visibility provides insights into the locations and types of data held by an organization (Article 50). Reduced Risk of Exposure. How to Fast Track LGPD Compliance.

Compliance 98

Compliance Unstructured data Personal data Big data 98

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

Archives Blogs

AUGUST 14, 2020

This allows for flexibility in adapting specific technologies to the needs of each IC agency for automation and processing unstructured data. Jones explained that the ODNI is uniquely positioned to leverage modernization through a common infrastructure and federated approach across the 17 IC agencies.

Unstructured data 49

Unstructured data Digital transformation Cloud Government 49

IBM Big Data Hub

OCTOBER 30, 2023

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. AWS’s scalable infrastructure allows for rapid, large-scale implementation, ensuring agility and data security.

Analytics 86

Analytics Retail Cloud Insurance 86

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset. Ensures regulatory compliance.

Metadata 132

Metadata Unstructured data Compliance Sales 132

IBM Big Data Hub

JANUARY 5, 2023

How the right data architecture improves data quality. The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

Metadata 52

Metadata Analytics Big data Unstructured data 52

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. Data in Use Encryption.

Encryption 132

Encryption Computer and Electronics Cloud Passwords 132

IG Guru

FEBRUARY 18, 2019

quintillion bytes of data created every day, challenges with unstructured data and an increasingly complex regulatory landscape prompts a need for change to the old approach to information management. Many complex analytical problems are unsolvable by human effort alone due to data volumes and complexity involved.

Artificial Intelligence 40

Artificial Intelligence Unstructured data Analytics Access 40

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 Privacy Access Libraries 52

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 144

GDPR Compliance Data Privacy Privacy 144

Info Source

JUNE 11, 2019

M-Files for Salesforce seamlessly integrates M-Files content services directly within the familiar Salesforce user interface, providing easy access to out-of-the-box document management, compliance and governance features via the user interface where Salesforce users spend most of their time throughout the day.

Access 40

Access Unstructured data ECM Sales 40

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

AIIM

FEBRUARY 27, 2020

You may not know that we developed a 4-day Email Management class in 2008 or a 2-day Social Media Governance course in 2011. ECM (Specialist and Master) This course focuses on management of unstructured data using content repositories. How Often are AIIM's Training Courses Updated?

ECM 116

ECM Records Management Metadata Information governance 116

Info Source

MARCH 29, 2019

OpenText Content Services help organizations readily access critical business information through the delivery of “content in context” for both structured and unstructured data. OpenText remains at the forefront of Content Services through continued innovation. Engage with OpenText at AIIM.

Content services 40

Content services ECM Unstructured data Cloud 40

IBM Big Data Hub

DECEMBER 4, 2023

As part of our generative AI initiatives, we can demonstrate the ability to use a foundation model with prompt tuning to review the structured and unstructured data within the insurance documents (data associated with the customer query) and provide tailored recommendations concerning the product, contract or general insurance inquiry.

Insurance 56

Insurance Digital transformation Compliance Cloud 56

Collibra

FEBRUARY 3, 2022

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. So why do these issues develop in data lakes?

Metadata 52

Metadata Analytics Unstructured data Government 52

Archives Blogs

NOVEMBER 16, 2018

Deborah Frincke, Director of Research at the National Security Agency (NSA). Speaking at the industry-sponsored media event “ Accelerated AI: Shaping the Future of Government with Artificial Intelligence ” (11/13/2018), in Washington, D.C.,

Unstructured data 26

Unstructured data Artificial Intelligence Government Communications 26

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. After all, they are very different types of information, so they require different technology and governance approaches.

Unstructured data 84

Unstructured data Metadata Information governance Data structuring 84

eDiscovery Daily

AUGUST 7, 2018

What is Information Governance? IG, or as it’s also known data governance, is basically a set of rules and policies that have to do with a company’s data. These rules and policies can cover issues such as: Security. Data access. Data storage & maintenance. Data backup and/or disposal.

IT 31

IT Unstructured data Information governance Government 31

DLA Piper Privacy Matters

MAY 11, 2020

Create an operationally significant limited exception to deletion and access rights for many types of unstructured data. Exempt businesses from needing to provide access to “specific pieces of personal information” from data generated to help ensure security or integrity or as prescribed by regulation.

Privacy 52

Privacy Unstructured data Access Data collection 52

Brandeis Records Manager

JULY 28, 2016

I partner with our Chief Info Security Officer on projects and share his vigilance under the broader governance umbrella, but I am not responsible for endpoint detection and response, authentication protocols, malware interception, and honeypots. Interesting stuff, but beyond my job function.

Records Management 52

Records Management Libraries Unstructured data Honeypots 52

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

IBM Big Data Hub

JULY 6, 2023

Other challenges include communicating results to non-technical stakeholders, ensuring data security, enabling efficient collaboration between data scientists and data engineers, and determining appropriate key performance indicator (KPI) metrics.

Data science 60

Data science Big data Analytics Mining 60

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 105

Analytics Customer Experience Marketing Unstructured data 105

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 236

Unstructured data Sales Cloud Government 236

Reltio

OCTOBER 28, 2020

To create master data that shows connections across functions and provides a clear view of business processes, you need to establish some guidelines and a way to enforce them. That’s called master data governance. . What is master data governance? Why is master data governance important? .

Government 52

Government MDM Big data Unstructured data 52

Everteam

APRIL 16, 2019

One of the most important elements of an information governance program is the proper classification of your data. A central, formal classification scheme is critical, especially when much of the information – structured and unstructured – is used in multiple departments or teams across the organization.

ROT 40

ROT Information governance Metadata Government 40

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

Reltio

JANUARY 28, 2021

The best practices many businesses centered their ERPs and customer data systems on now severely limit their agility and ability to use emerging data sources for competitive advantage. First-generation MDMs: Focus heavily on master data governance to ensure data quality. 3 Using unstructured data .

MDM 98

MDM IoT Customer Experience Unstructured data 98

ARMA International

SEPTEMBER 22, 2021

While these RIM practices are still important to help ensure governance, compliance, and manage risks, it is also important to realize that information is both a product and a service. Information Governance (IG). Discussions of IG often lead to a discussion of data governance (DG) and whether the two are different.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

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. Challenges in Managing Big Data.

Big data 52

Big data MDM Unstructured data Analytics 52

IBM Big Data Hub

JANUARY 17, 2023

At the core of a data lakehouse architecture includes the storage, metadata service and the query engine, and typically a data governance component made up of a policy engine and a data dictionary. In an open data lakehouse an open data governance approach is also supported.

Metadata 52

Metadata Analytics Unstructured data Government 52

IBM Big Data Hub

AUGUST 1, 2022

As a company, we have been entrusted with organizing data on a national scale, made revolutionary progress in data storing technology and have exponentially advanced trustworthy AI using aggregated structured and unstructured data from both internal and external sources. . 1936 Social Security made possible by IBM: .

Unstructured data 52

Unstructured data Artificial Intelligence Paper Communications 52

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

A research report issued by International Association of Privacy Professionals titled “Privacy in the wake of COVID-19” shows that 60 percent of those who adopted new technologies for working from home either skipped or expedited security/privacy reviews, creating a completely new set of risks for companies. New regulation, new challenges.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

IBM Big Data Hub

JUNE 21, 2023

The solution is built from a foundation model developed using watsonx, IBM’s enterprise-grade AI platform designed to manage the entire lifecycle of AI models, from curating trusted data sources to governing responsible, trusted AI. “This is what we mean when we say ‘AI for Business.’

Unstructured data 77

Unstructured data Digital transformation Analytics Government 77

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 125

Analytics Cybersecurity Risk Cloud 125