Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

Additionally, organizations are obligated to report any data security incidents or breaches to Brazilian national authorities. It is advantageous to automate the process… considering all the data stores in scope (including local, network, database, big data and cloud) and to cover both structured and unstructured data types.

Compliance 98

Compliance Unstructured data Personal data Big data 98

eSecurity Planet

AUGUST 4, 2022

That’s one of the reasons why the White House recently put out two executive memos mandating that government agencies upgrade to post-quantum encryption. These memos will likely not only impact the security landscape at the government level, but also industries that work closely with the U.S. Both local and cloud lockers available.

Encryption 132

Encryption Computer and Electronics Cloud Passwords 132

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 61

Unstructured data Government Compliance Marketing 61

erwin

NOVEMBER 16, 2021

Many organizations are searching for a data modeling tool as they undertake application modernization initiatives to move from legacy infrastructure and migrate to the cloud. One key feature of erwin Data Modeler is the ability to generate code from a data model – this is a huge timesaver.

Unstructured data 52

Unstructured data Digital transformation Paper Cloud 52

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

IBM Big Data Hub

JANUARY 5, 2023

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. Create KPIs and use advanced analytics that link the measure of your architecture’s success to how well it supports data quality.

Metadata 52

Metadata Analytics Big data Unstructured data 52

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

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.). Clearly documents data catalog policies, rules and shares information assets.

Metadata 132

Metadata Unstructured data Compliance Sales 132

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

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. The content services industry is advancing with the enhanced flexibility and scalability promised by the cloud. Engage with OpenText at AIIM.

Content services 40

Content services ECM Unstructured data Cloud 40

Collibra

FEBRUARY 3, 2022

As cloud data storage and advanced analytics become the norm, the quality of data gets critical. Especially when you want your data lake to power trusted analytical results. How poor data quality can lead to bad decisions. But these advantages can turn data lakes quickly into data swamps. .

Metadata 52

Metadata Analytics Unstructured data Government 52

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

Collibra

AUGUST 7, 2020

Cloud data platforms have become a key component of enterprise data architectures, playing a central role in many organizations’ digital transformation strategies. Across all industry verticals, companies are collecting much greater volumes of data, which points to the need for scalable, cost-effective solutions.

Cloud 81

Cloud Government Unstructured data Analytics 81

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. Courses include: Emerging Technologies: AI, Blockchain, Cloud, and Robotic Process Automation. ECM (Specialist and Master) This course focuses on management of unstructured data using content repositories.

ECM 116

ECM Records Management Metadata Information governance 116

OpenText Information Management

APRIL 15, 2024

As part of OpenText World Europe 2024, I am pleased to introduce the latest Cloud Editions (CE) 24.2. And, as always, we continue to deliver against our 90-day innovation cycles to bring advancements in our Business Clouds, Business AI, and Business Technology.

Cloud 96

Cloud Analytics Digital transformation Customer Experience 96

OpenText Information Management

APRIL 15, 2024

As part of OpenText World Europe 2024, I am pleased to introduce the latest Cloud Editions (CE) 24.2. And, as always, we continue to deliver against our 90-day innovation cycles to bring advancements in our Business Clouds, Business AI, and Business Technology.

Cloud 94

Cloud Analytics Digital transformation Customer Experience 94

CGI

OCTOBER 14, 2019

Artificial intelligence (AI) and advanced analytics, together with cloud computing, are enabling very large quantities of data to be collected, stored and processed in real time or near real time. The other issue with big data is that it contains structured data, whereas AI and analytics can use unstructured data.

Artificial Intelligence 64

Artificial Intelligence Analytics Customer Experience Big data 64

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. A significant portion of the CDM effort highlights the requirements for a data-centric approach for cyber protection.

Cybersecurity 66

Cybersecurity Education Unstructured data Big data 66

IBM Big Data Hub

JULY 6, 2023

Because data analysts often build machine learning models, programming and AI knowledge are also valuable. Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more.

Data science 62

Data science Big data Analytics Mining 62

Reltio

SEPTEMBER 16, 2019

It addresses key trends and requirements such as cloud and multi-cloud enterprise strategies, platform as a service, scalability, flexibility, high-performance expectations, ability to effectively manage large volumes of structured, semi-structured and unstructured data and automated data management and governance via AI and ML.

Analytics 58

Analytics Unstructured data Cloud IoT 58

Collibra

SEPTEMBER 9, 2022

The impact of data quality is directly seen in lower revenue and higher operational costs, both resulting in financial loss. Data quality significantly influences the organizational efforts in governance and compliance, leading to additional rework and delay. Duplicate data. Data quality problem statement.

Analytics 96

Analytics Customer Experience Marketing Unstructured data 96

The Last Watchdog

JUNE 1, 2022

In order to extract value from the Internet, data sprawl first must get reined in. 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? Data is the foundational element. Ultimate target.

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

ARMA International

SEPTEMBER 22, 2021

This means imagining the “art of the possible” for a new future using a cloud computing model to deliver transformative change. 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. Cloud Enablement.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52

Collibra

JUNE 25, 2021

In this blog post, let’s discuss some of the most common data quality issues and how we can tackle them. . Duplicate data. Modern organizations face an onslaught of data from all directions – local databases, cloud data lakes, and streaming data. 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

IBM Big Data Hub

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics.

Analytics 83

Analytics Cloud Unstructured data Libraries 83

IBM Big Data Hub

JANUARY 17, 2023

With the prohibitive costs of high-performance analytics solutions, such as cloud data warehouses, and performance challenges associated with legacy data lakes, neither data warehousing nor data lakes satisfy the need for analytical flexibility, cost-to-performance and manageability.

Metadata 52

Metadata Analytics Unstructured data Government 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 16, 2024

Companies are also striving to balance this innovation with growing environmental, social and governance (ESG) regulations. To aid in building more sustainable IT estates, IBM has partnered up with Amazon Web Services (AWS) to facilitate sustainable cloud modernization journeys.

Energy and Utilities 98

Energy and Utilities IT Cloud Unstructured data 98

erwin

JUNE 27, 2019

For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. In today’s hyper-competitive, data-driven business landscape , organizations are awash with data and the applications, databases and schema required to manage it.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81

Thales Cloud Protection & Licensing

DECEMBER 8, 2020

Indeed, the “Market Guide for File Analysis Software” report issued by Gartner reveals that through 2024, 80% of information governance programs that do not include unstructured, semi-structured and structured data within the same governance program will fail, up from 30% today. Better data visibility to the rescue.

Privacy 62

Privacy Digital transformation Data Privacy Risk 62

Reltio

JANUARY 28, 2021

To illustrate, some companies were able to pivot faster to curbside pick up and virtual experiences that were traditionally run live in person, such as auctions, without creating a disconnected customer experience because they had a single source of truth for their enterprise data. 2 Make data governance an integral part.

MDM 98

MDM Customer Experience Marketing Government 98

eSecurity Planet

SEPTEMBER 13, 2021

IBM X-Force Exchange is a cloud-based, collaborative threat intelligence platform that helps security analysts research threat indicators to help speed up time to action. It provides the most relevant data to a business by categorizing network elements into a repository called Collections. Top Threat Intelligence Platforms.

Analytics 125

Analytics Cybersecurity Risk Cloud 125

Collibra

MAY 19, 2021

Approach to data quality : Hasty, disjointed efforts to measure and improve data quality do not deliver any long-term benefit. Consider approaching data quality as a fundamental part of data strategy, aligning it to your enterprise-wide data governance and data intelligence efforts.

Analytics 59

Analytics Metadata Unstructured data Access 59

CGI

OCTOBER 31, 2018

Setting up a sand box to test the value of use cases of multiple integrated data sources shows promise. Some utilities have built “data lakes” to handle structured and unstructured data (weather, social media, sensors, etc.), as well as ascertain how the cloud fits into the equation.

Energy and Utilities 40

Energy and Utilities Analytics Digital transformation Customer Experience 40

Thales Cloud Protection & Licensing

MAY 17, 2021

government and the private sector on cyber issues, and strengthening the United States’ ability to respond to incidents when they occur. One of the most striking requirements is the implementation of multifactor authentication and data encryption for all Federal governments.

Encryption 105

Encryption Cybersecurity Authentication Unstructured data 105