erwin

APRIL 15, 2020

On a business level, decisions based on bad external data may have the potential to cause business failures. In business, data is the food that feeds the body or enterprise. Better data makes the body stronger and provides a foundation for the use of analytics and data science tools to reduce errors in decision-making.

Government 134

Government Data science Metadata Analytics 134

IBM Big Data Hub

JANUARY 5, 2023

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. Perform data quality monitoring based on pre-configured rules.

Metadata 52

Metadata Analytics Big data Unstructured data 52

Info Source

JUNE 5, 2019

Business-specific metadata is the foundat ion of effective search, workflow, and other value-creation activities in content-centric business applications. Some services are easy to deploy and provide generic metadata not based on a businesses specific content.

Content services 40

Content services Cloud ECM Metadata 40

Security Affairs

AUGUST 7, 2018

“By applying a methodical data science approach to analyzing our dataset, we were able to build a classifier that effectively finds bots at a large scale.” Practical data science techniques can be used to create a classifier that could help researchers in finding automated Twitter accounts.

Data science 61

Data science Security Paper Metadata 61

IBM Big Data Hub

MAY 9, 2022

As discussed in the previous section data virtualization and data cataloging help get the right data to the right people by making it easier to find the data that best fits their needs and access it. Automated metadata generation is essential in order to turn a manual process into one that is better controlled.

Metadata 57

Metadata Privacy Government Data Privacy 57

Collibra

AUGUST 14, 2023

But if your use case involves sentiment analysis and your data set is support tickets — and the customer information is NOT anonymized — then it’s probably not a viable use case. Usually, this step involves reaching out to relevant data owners. Maybe it’s your data science colleague who has a store of transactional data.

Government 52

Government Risk Financial Services Compliance 52

The Texas Record

FEBRUARY 2, 2021

What is metadata, and why is it so important when archiving electronic records? Metadata is descriptive information (data) about stuff. Without all of this metadata you would be holding a blank box that may or may not be free but definitely is a mystery. This is such a pervasive thing that it can be hard to describe.

Archiving 116

Archiving Digital preservation Metadata Computer and Electronics 116

IBM Big Data Hub

JANUARY 17, 2023

IBM Cloud Pak for Data Express solutions offer clients a simple on ramp to start realizing the business value of a modern architecture. Data governance. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. Data science and MLOps.

Data science 57

Data science Cloud Government Analytics 57

IBM Big Data Hub

JANUARY 17, 2023

These new technologies and approaches, along with the desire to reduce data duplication and complex ETL pipelines, have resulted in a new architectural data platform approach known as the data lakehouse – offering the flexibility of a data lake with the performance and structure of a data warehouse.

Metadata 52

Metadata Analytics Unstructured data Government 52

Collibra

FEBRUARY 16, 2022

Lastly, once the data governance framework is laid out, the committee will turn to technology and choose a platform that best supports the vision. A good technology solution will gather metadata from a variety of systems, manage a business glossary, enforce policies and procedures, tie to a technical data dictionary, and more.

Government 52

Government IT Compliance Privacy 52

IBM Big Data Hub

OCTOBER 4, 2023

Typically, on their own, data warehouses can be restricted by high storage costs that limit AI and ML model collaboration and deployments, while data lakes can result in low-performing data science workloads. New insights and relationships are found in this combination. All of this supports the use of AI.

Metadata 86

Metadata Analytics Artificial Intelligence Data science 86

IBM Big Data Hub

APRIL 27, 2022

Gartner defines a data fabric as “a design concept that serves as an integrated layer of data and connecting processes. The data fabric architectural approach can simplify data access in an organization and facilitate self-service data consumption at scale.

Metadata 89

Metadata Analytics Data science Government 89

IBM Big Data Hub

FEBRUARY 22, 2024

IBM’s Scaled Data Science Method , an extension of CRISP-DM, offers governance across the AI model lifecycle informed by collaborative input from data scientists, industrial-organizational psychologists, designers, communication specialists and others. This should all be baked into the interpretable, findable metadata).

Artificial Intelligence 102

Artificial Intelligence Metadata Military Government 102

The Texas Record

JANUARY 25, 2021

What is metadata, and why is it so important when archiving electronic records? Metadata is descriptive information (data) about stuff. Without all of this metadata you would be holding a blank box that may or may not be free but definitely is a mystery. This is such a pervasive thing that it can be hard to describe.

Archiving 40

Archiving Digital preservation Metadata Computer and Electronics 40

Collibra

JUNE 1, 2022

Collibra Adaptive Data and Analytics Governance helps create a culture of trusted data that fuels better decision-making by: Bringing metadata into one central location via native integrations and APIs to important data sources, business applications, data science and BI tools so that data is available and easily accessible across your organization.

Analytics 79

Analytics Government Compliance Metadata 79

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Analytics 68

Analytics Data science Cloud Metadata 68

ARMA International

SEPTEMBER 13, 2021

Analytics using robotic process automation (RPA) can examine, analyze, and identify unstructured content and auto-classify data based on rules learned by the “AI engine.” When tagging and auto-classifying content, the AI engine can extract metadata to provide context to unstructured content.

Digital transformation 59

Digital transformation Blockchain IT Computer and Electronics 59

IBM Big Data Hub

JULY 13, 2023

Data science tasks such as machine learning also greatly benefit from good data integrity. When an underlying machine learning model is being trained on data records that are trustworthy and accurate, the better that model will be at making business predictions or automating tasks.

Metadata 69

Metadata MDM Analytics Compliance 69

Collibra

OCTOBER 13, 2022

What you can do more with Collibra data intelligence. Collibra Data Intelligence Cloud has a deep focus on intelligence about the data, as informed by metadata. Data intelligence enables people, processes, and technology to work with healthier data, power trusted insights, and drive better business outcomes.

Analytics 52

Analytics Cloud Metadata Government 52

IBM Big Data Hub

FEBRUARY 8, 2023

This comprehensive solution comes without the excessive costs of switching from your current data science platform. Automate the capture of model metadata and increase predictive accuracy to identify how AI is used and where models need to be reworked.

Artificial Intelligence 52

Artificial Intelligence Compliance Analytics Government 52

IBM Big Data Hub

MAY 9, 2023

Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1] 1] Users can access data through a single point of entry, with a shared metadata layer across clouds and on-premises environments.

Artificial Intelligence 108

Artificial Intelligence Cloud Metadata Access 108

Collibra

APRIL 28, 2022

It should be able to bring metadata from all of your important data sources, no matter where they are located, into a central location so you can get full visibility of your data. It should provide all of the data catalog and governance capabilities you need to manage and govern your data.

Metadata 52

Metadata Government Data science Analytics 52

Collibra

AUGUST 7, 2020

GCP offers a range of tools to support these processes, including Dataflow for streaming data, Dataproc for Hadoop/Spark stacks, Data Fusion (for integrating data from multiple sources) and Dataprep (for data wrangling).

Cloud 81

Cloud Government Unstructured data Analytics 81

Collibra

MAY 1, 2020

More than just scan existing metadata, a good catalog creates its own, making it easier for the next set of users to find what they’re looking for.

Analytics 60

Analytics Data science Metadata Compliance 60

Archives Blogs

JUNE 11, 2018

The program also highlighted the emergence of data science in the field: indeed, the conference started with a thought-provoking keynote called “ Truth is a Lie ,” in which data scientist Lora Aroyo and research scientist Chris Welty examined the concept of truth as not a single notion but a spectrum of opinions, perspectives, and context.

Archiving 44

Archiving Data science Digital preservation Metadata 44

Reltio

DECEMBER 10, 2021

The Reltio MDM solution is part of the Connected Data Platform, which supports all data types in real time for operational, analytical, and data science use cases.”. Using our APIs and user interface, you can create, publish, automate, and integrate various governance policies, such as: Data access.

MDM 98

MDM Analytics Digital transformation Cloud 98

eSecurity Planet

JULY 16, 2021

Vision One takes data from endpoints, servers, cloud, emails , and network security systems producing an XDR data lake of telemetry, metadata, logs, and netflow. Using data science and ML, the Automated Defense software triages alerts, scales SOC capabilities , and accurate investigations 24/7.

Analytics 120

Analytics Cloud Marketing Cybersecurity 120

Collibra

MARCH 10, 2022

Congress first proved how much the government could benefit from using data evidence to create policies and inform programs when the Foundations for Evidence-Based Policymaking Act came into effect in January 2019.

Government 52

Government Metadata Education Cloud 52

IBM Big Data Hub

JULY 5, 2023

Several items quickly raised to the top as table stakes: Resilient and scalable storage that could satisfy the demand of an ever-increasing data scale. Open data formats that kept the data accessible by all but optimized for high performance and with a well-defined structure. Comprehensive data security and data governance (i.e.

Analytics 67

Analytics Metadata Data migration Data science 67

Collibra

AUGUST 30, 2022

Collibra Adaptive Data and Analytics Governance helps create a culture of trusted data that fuels better decision-making by: Bringing metadata into one central location via native integrations and APIs to important data sources, business applications, data science and BI tools so that data is available and easily accessible across your organization.

Analytics 52

Analytics Government Data science Compliance 52