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What is Modulos AI Governance Platform?

Founded in 2018, Modulos AG has emerged as a prominent force in Switzerland for Responsible AI Governance, being the first platform in this domain to earn the ISO 42001 certification. The company is committed to providing businesses with essential tools to navigate the responsible management of AI products and services within controlled environments, which significantly streamlines the AI compliance process. By utilizing this platform, organizations can proficiently manage risks while remaining compliant with critical regulatory frameworks such as the EU AI Act, NIST AI RMF, and ISO 42001, among others. As a result, Modulos plays a crucial role in helping its clients reduce economic, legal, and reputational risks while fostering trust and ensuring the sustainable success of their AI projects. This innovative approach not only enhances compliance but also positions organizations to thrive in an increasingly AI-driven landscape.

What is Google Cloud Dataplex?

Google Cloud's Dataplex acts as a sophisticated data fabric that enables businesses to efficiently discover, oversee, monitor, and govern their data across multiple platforms such as data lakes, warehouses, and marts, all while ensuring consistent controls that guarantee access to trustworthy data and support extensive analytics and AI projects. By providing a unified interface for managing data, Dataplex simplifies tasks such as data discovery, classification, and metadata enhancement for a range of data types, including structured, semi-structured, and unstructured data located both within Google Cloud and in external settings. It logically organizes data into business-relevant domains via lakes and data zones, thus facilitating easier data curation, tiering, and archiving processes. The platform's centralized security and governance capabilities allow for effective management of policies, comprehensive monitoring, and detailed auditing across disparate data silos, fostering a sense of distributed data ownership while ensuring overarching control. In addition, Dataplex features automated assessments of data quality and lineage tracking, which bolster the trustworthiness and traceability of data, assuring organizations of the reliability of their data-driven choices. By merging these features, Dataplex not only simplifies the intricacies of data management but also fosters improved collaboration among teams dedicated to analytics and AI, ultimately driving innovation and efficiency. This comprehensive approach equips organizations to harness their data assets more effectively in a rapidly evolving digital landscape.

Media

Media

Integrations Supported

Google Cloud Platform
Amazon Web Services (AWS)
Azure Cloud Services
Cloudera
Dataiku
Gemini
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
MLflow
Vertex AI

Integrations Supported

Google Cloud Platform
Amazon Web Services (AWS)
Azure Cloud Services
Cloudera
Dataiku
Gemini
Google Cloud BigQuery
Google Cloud Dataflow
Google Cloud Dataproc
MLflow
Vertex AI

API Availability

Has API

API Availability

Has API

Pricing Information

15k
Free Trial Offered?
Free Version

Pricing Information

$0.060 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Modulos AG

Date Founded

2018

Company Location

Switzerland

Company Website

www.modulos.ai

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/dataplex

Categories and Features

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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