IBM Big Data Hub

NOVEMBER 29, 2023

With it, organizations can help business and IT teams acquire the ability to access, interpret and act on real-time information about unique situations arising across the entire organization. Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information.

Artificial Intelligence 85

Artificial Intelligence Unstructured data Analytics Customer Experience 85

Security Affairs

JULY 3, 2023

Examples: Customer Personal Identifiable Information, transactional data, inventory records, and financial statements. Unstructured Data: Unstructured data, on the other hand, is characterized by its lack of organization and predefined format. They pose a significant threat to data security.

Unstructured data 98

Unstructured data Metadata Encryption Data structuring 98

Info Source

JUNE 11, 2019

AI-powered intelligent information management platform enables unified access to customer-related documents and data stored in other enterprise repositories directly within Salesforce. ” According to Datamation, an eWeek research and analysis firm, “Unstructured data represents 85 percent or more of corporate data.”

Access 40

Access Unstructured data ECM Sales 40

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. Field services.

Energy and Utilities 74

Energy and Utilities Unstructured data Artificial Intelligence IoT 74

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. trillion in that year.

Retail 91

Retail Unstructured data Artificial Intelligence Sales 91

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.

Unstructured data 72

Unstructured data Analytics Compliance Information governance 72

Thales Cloud Protection & Licensing

FEBRUARY 18, 2021

Additionally, organizations are obligated to report any data security incidents or breaches to Brazilian national authorities. The LGPD requires data processors to adopt measures to protect sensitive personal data from loss, unauthorized access, accidental or lawful destruction and exposure. Access Control.

Compliance 98

Compliance Unstructured data Personal data Big data 98

Collibra

SEPTEMBER 2, 2020

Many organizations store their data in a data lake, which is a central repository that houses large volumes of raw data, including structured, semistructured and unstructured data. Typically, an organization’s data lake stores data from multiple different sources across the enterprise. Reduce risk.

Unstructured data 59

Unstructured data Government Risk Access 59

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

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner.

Metadata 132

Metadata Unstructured data Compliance Sales 132

IBM Big Data Hub

FEBRUARY 2, 2023

Organizations looking to increase adoption of ML are turning to cloud data warehouses that support new, open data formats to catalog, ingest, and query unstructured data types.

Cloud 56

Cloud Analytics Unstructured data Compliance 56

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Metadata 138

Metadata Digital transformation Unstructured data Artificial Intelligence 138

IBM Big Data Hub

OCTOBER 30, 2023

Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel. Scaling AI in business presents unique challenges: Data accessibility : Fragmented and siloed data stifle advancement.

Analytics 79

Analytics Retail Cloud Insurance 79

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. They deployed advanced technologies for remote access and collaboration, shifting away from manual processes that were either inefficient or impossible to perform remotely.

Unstructured data 49

Unstructured data Digital transformation Cloud Government 49

eSecurity Planet

AUGUST 4, 2022

Attackers can intercept data transfers, and from there gain access to all manner of sensitive data. Thus, data in transit, as well as data at rest, should be made indecipherable via strong encryption. All they need is the right way to access the data. Protects data wherever it resides.

Encryption 132

Encryption Computer and Electronics Cloud Passwords 132

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

OpenText Information Management

MARCH 22, 2024

March 2024 German Federal Council officially approves law driving the e-Invoicing mandate On 22nd March 2024 The German Bundesrat - the Federal Council - officially approved the Federal Government's Growth Opportunities Act, which is the legal instrument that includes the provisions for the planned e-Invoicing mandate.

e-Delivery 67

e-Delivery B2B Paper Government 67

eSecurity Planet

DECEMBER 22, 2021

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. Organizations need to understand all of the data they store and collect as well as where they’re storing it. Compliance Overview.

GDPR 144

GDPR Compliance Data Privacy Privacy 144

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

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

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. Conference attendees can access demos and further information at OpenText’s booth (31 and 32) at the AIIM Conference tradeshow.

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 54

Insurance Digital transformation Compliance Cloud 54

Thales Cloud Protection & Licensing

OCTOBER 25, 2018

This approach curtails an attacker’s likelihood of gaining access to valuable data solely by accessing the network, and it has the potential to better block and isolate malicious activity. 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

The Last Watchdog

NOVEMBER 4, 2021

Under the GDPR, a filing system is defined as “any structured set of personal data which are accessible according to specific criteria, whether centralised, decentralised or dispersed on a functional or geographical basis” (GDPR Article 4.6). It’s no wonder that the global GDPR services market is expected to reach $4.4

Personal data 237

Personal data Unstructured data Privacy Data Privacy 237

Brandeis Records Manager

JULY 28, 2016

I recently presented an RM program review to my Brandeis library colleagues and noted this rather strange RM fit: humanities research, cultural heritage, instructional design, open scholarly access, and… RETENTION SCHEDULE?! It’s relatively accessible to the layperson. It’s relatively accessible to the layperson.

Records Management 52

Records Management Libraries Unstructured data Honeypots 52

CGI

OCTOBER 14, 2019

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. 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

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

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. Data access. Data storage & maintenance. Data backup and/or disposal. Accountability for employees handling data.

IT 31

IT Unstructured data Information governance Government 31

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.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

Collibra

AUGUST 7, 2020

Across all industry verticals, companies are collecting much greater volumes of data, which points to the need for scalable, cost-effective solutions. They are also collecting a greater variety of data (including structured, semi-structured and unstructured data) that is difficult to describe via a single schema.

Cloud 81

Cloud Government Unstructured data Analytics 81

IBM Big Data Hub

JULY 6, 2023

Both data science and machine learning are used by data engineers and in almost every industry. It’s also necessary to understand data cleaning and processing techniques. Because data analysts often build machine learning models, programming and AI knowledge are also valuable.

Data science 55

Data science Big data Analytics Mining 55

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

AIIM

MARCH 13, 2018

On the one hand , technology has revolutionized both the access and potential value of very long-term archival information -- much of which originated as paper -- exposing it to the light of day after years in the basement and giving it new life. Much of the world’s cultural, economic, social, and political memory is at some long-term risk.

Digital preservation 95

Digital preservation Archiving Records Management Paper 95

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

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. Data is the foundational element. It’s about time. Ultimate target.

Unstructured data 235

Unstructured data Sales Cloud Government 235

Collibra

JUNE 25, 2021

But what you really need is a comprehensive approach to ensuring constant access to trusted data. The predictive DQ can track issues to continuously deliver high-quality data pipelines, always ready for operations and analytics. . Consider data intelligence to understand and use your organizational data in the right way.

Analytics 59

Analytics Customer Experience Unstructured data Metadata 59

ARMA International

SEPTEMBER 22, 2021

ARMA (2017) describes RIM practices as the “knowledge and skills required to systematically manage information assets from creation or receipt through processing, distributing, sharing, using, accessing, organizing, storing and retrieving, and disposing of them. So, accessing the content is not easy. Repository Neutral Content.

Digital transformation 52

Digital transformation Content services IT e-Discovery 52