The Last Watchdog

APRIL 9, 2020

Data collected by IoT devices will increasingly get ingested into cloud-centric networks where it will get crunched by virtual servers. NDR involves applying machine learning, advanced data analytics and rule-based detection to the tracking of packets. There’s no stopping the Internet of Things now.

IoT 195

IoT Security Cloud Passwords 195

Collibra

SEPTEMBER 16, 2022

The importance of high-quality data is documented throughout the top verticals and is especially significant with the recent pandemic. As a result, achieving high data quality is a critical objective for data-driven organizations. Improving data quality delivers: . Trusted reporting and analytics. Higher ROI.

Customer Experience 80

Customer Experience Data collection Analytics Communications 80

Collibra

JULY 5, 2020

Enterprises often have dozens or even hundreds of applications that hold data used by different people and different teams. The marketing team may leverage state-of-the-art analytics tools to improve customer experience and the finance team may use another set of tools that work best for their own use cases. Inaccurate data.

Analytics 69

Analytics Compliance Privacy Digital transformation 69

Data Matters

MARCH 10, 2021

Metadata : Not only the content of a communication but also the communication metadata (e.g., Metadata was also covered in the ePrivacy Directive (albeit “metadata” was referred to as “traffic data” in the Directive), but the current Council Draft broadens the options for electronic communications providers to process metadata.

GDPR 68

GDPR Metadata Communications Privacy 68

Hunton Privacy

APRIL 12, 2017

Moreover, the Working Party favors the clarification that the Proposed ePrivacy Regulation covers machine-to-machine interaction as well as content and associated metadata. Specifically, the Working Party notes that MAC addresses are personal data, even after security measures, such as hashing, have been implemented.

Metadata 53

Metadata GDPR Personal data Communications 53

IBM Big Data Hub

FEBRUARY 14, 2024

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Artificial Intelligence 87

Artificial Intelligence Retail Unstructured data Insurance 87

erwin

DECEMBER 20, 2018

The Top 6 Benefits of Data Governance. www.erwin.com/blog/top-6-benefits-of-data-governance/. GDPR went into effect for businesses trading with the European Union, including hefty fines for noncompliance with its data collection, storage and usage standards. Data Governance 2.0 for Financial Services.

Government 40

Government Financial Services GDPR Data breaches 40

Everteam

SEPTEMBER 20, 2019

Machine learning, deep learning, and natural language processing technologies can search disparate data from multiple repositories and analyzes it to enhance metadata, classify content, and manage document lifecycles. As data collection and content creation increase exponentially, the importance of effectively governing it grows.

Information governance 40

Information governance Blockchain Government Records Management 40

Collibra

AUGUST 26, 2021

Clients use Snowflake when they are looking for an agile, scalable platform to aggregate, store and analyze data collected from across their data silos. This is where Collibra excels – in curating and managing the metadata needed to make that happen. The challenges of scaling data and analytics.

Cloud 64

Cloud Access Metadata Compliance 64

Collibra

OCTOBER 1, 2021

Clients use Snowflake when they are looking for an agile, scalable platform to aggregate, store and analyze data collected from across their data silos. This is where Collibra excels – in curating and managing the metadata needed to make that happen. The challenges of scaling data and analytics.

Cloud 52

Cloud Access Metadata Compliance 52

IBM Big Data Hub

FEBRUARY 8, 2023

Manual processes can lead to “black box models” that lack transparent and explainable analytic results. Your customers deserve and are holding your organization accountable to explain reasons for analytics-based decisions. Documented, explainable model facts are necessary when defending analytic decisions.

Artificial Intelligence 52

Artificial Intelligence Compliance Analytics Government 52

Collibra

AUGUST 7, 2020

Most importantly, they need to quickly derive insights from these diverse datasets, which points to the need for agile data operations and sophisticated analytics (particularly AI/ML capabilities). . What do we mean by a cloud data platform? How do you ensure data on a cloud platform is well governed?

Cloud 81

Cloud Government Unstructured data Analytics 81

Collibra

MAY 24, 2022

Without it, the enterprise would be unable to conduct data-driven decision-making — keeping them from evolving into a data-driven organization. Top problems: why data catalog and governance? Between 2020 and 2021, the company focused on building its data catalog. Implemented Collibra (branded internally as Data 360).

Government 65

Government Analytics Metadata Data collection 65

OpenText Information Management

JANUARY 31, 2024

OpenText eDiscovery solutions have a long history of incorporating artificial intelligence (AI) and advanced analytics to dramatically improve review efficiency and lower costs while ensuring defensibility of process. A pop-up window will then appear with options for this job where the Case Manager can select production output and metadata.

Analytics 52

Analytics Cloud Data Privacy Compliance 52

erwin

APRIL 21, 2020

Another foundational purpose of a data catalog is to streamline, organize and process the thousands, if not millions, of an organization’s data assets to help consumers/users search for specific datasets and understand metadata , ownership, data lineage and usage. Make Data Accessible & Usable.

Government 97

Government Analytics Sales Privacy 97

erwin

APRIL 21, 2020

So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance. What’s the best way to organize data and ensure it is supported by business policies and well-defined, governed systems, data elements and performance measures? What Is a Data Catalog?

Government 96

Government Analytics Sales Privacy 96

erwin

MARCH 4, 2021

Why should companies care about data governance? erwin’s 2020 State of Data Governance and Automation report found that better decision-making is the primary driver for data governance (62 percent), with analytics secondary (51 percent), and regulatory compliance coming in third (48 percent).

Government 122

Government Digital transformation GDPR Compliance 122

Archive-It

OCTOBER 10, 2017

Stump and Bower introduce how Archive-It partners at the Federal Depository Library Program (FDLP) Web Archive have implemented and use Google Analytics to understand the use of their existing collections and plan for the future. However, we first had to learn how to use Google Analytics. Image 1 – Ghost Spam.

Analytics 26

Analytics Archiving Libraries Access 26

eSecurity Planet

MARCH 17, 2022

Visual panels including graphs, geomaps, heatmaps, histograms, and more Create, consolidate, and manage alerts into a central console Manipulate queries and specific files for data transformations Ability to share insights and reports for company, team, and stakeholder use Add metadata and tags to specific data points with graphical annotations.

Cloud 105

Cloud Risk Security Cybersecurity 105

IBM Big Data Hub

MARCH 29, 2024

Benefits of OpenTelemetry The OpenTelemetry protocol (OTLP) simplifies observability by collecting telemetry data, like metrics, logs and traces, without changing code or metadata. Prometheus can handle and store large volumes of metrics data and make the data available for analytics teams as needed.

Libraries 82

Libraries Metadata Access IT 82

eDiscovery Daily

FEBRUARY 19, 2018

The Discovery Client software uploads your selected data to CloudNine and starts the data processing stage where metadata is extracted, text files are created, hash files are generated, and HTML renders are completed. Analytics & Keywords. that you’ll be reviewing. Document Exports & Productions.

Computer and Electronics 34

Computer and Electronics Metadata Analytics Cloud 34

Security Affairs

JANUARY 13, 2021

While these alt platforms largely position themselves as “free speech” alternatives, we at CyberNews were also interested in how these alt social platforms compare in terms of data collection. Users would need to read both Triller’s and Quickblox’ privacy policies to get a good idea of how their data is being collected and processed.

Data collection 120

Data collection Privacy Analytics Access 120

eDiscovery Daily

MAY 23, 2018

with MS Office 2016 and Adobe Acrobat 11 Pro installed and the office’s network file server had ample space for the document collection. Ability to process relevant metadata. All staff had high-end, big screen desktop PC running Windows 8.1 The specific goals were: Efficient workflow. Robust search. Effective tracked deduplication.

e-Discovery 37

e-Discovery Paper Marketing Metadata 37

Data Matters

SEPTEMBER 29, 2021

Most of that focus has centered on data collection, storage, sharing, and, in particular, third-party transactions in which customer information is harnessed for advertising purposes. Could a party, for instance, decline to produce, review, or even collect certain types of data due to privacy concerns? Production.

Privacy 97

Privacy e-Discovery Computer and Electronics e-Delivery 97

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. It uses knowledge graphs, semantics and AI/ML technology to discover patterns in various types of metadata.

Analytics 64

Analytics Artificial Intelligence Digital transformation Access 64

Brandeis Records Manager

SEPTEMBER 19, 2016

Massive information analysis, tagging, metadata assignment, and classification are a few of those roles that smart machines, once trained, may cover completely: many on the legal side of our profession have already experienced this through technology-assisted review. Perhaps we will monitor massive data grid activity.

Blockchain 62

Blockchain Records Management Unstructured data Artificial Intelligence 62

erwin

JULY 17, 2019

Once you’ve determined what part(s) of your business you’ll be innovating — the next step in a digital transformation strategy is using data to get there. Constructing A Digital Transformation Strategy: Data Enablement. Many organizations prioritize data collection as part of their digital transformation strategy.

Digital transformation 98

Digital transformation Metadata Government Data collection 98