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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Aquatic Informatics offers innovative software solutions tailored to meet the essential challenges of water data management, analytics, and regulatory compliance within the expanding water sector. Our integrated data management systems facilitate the comprehensive handling of water-related information, from precipitation to sewage discharge, ensuring the protection of public health and minimizing ecological footprints. The AQUARIUS software suite provides a robust platform for real-time acquisition, processing, modeling, and dissemination of water data, empowering organizations to maintain precise, reliable, and justifiable information on water resources. Included in the AQUARIUS suite are: - AQUARIUS Time-Series for the collection of reliable water data with efficiency and accuracy. - AQUARIUS Samples for streamlined management of water sample collections. - AQUARIUS WebPortal for the online dissemination of real-time water data. - AQUARIUS Forecast for simplifying complex modeling workflows. - AQUARIUS EnviroSCADA for the immediate acquisition of water data. - AQUARIUS Cloud, which delivers the full capabilities of AQUARIUS in a software-as-a-service format. This comprehensive range of tools enables agencies to enhance their water management practices significantly.

Description

Analyzing time-series data is crucial for the daily functions of numerous businesses. Common applications involve assessing consumer foot traffic and conversion rates for retailers, identifying anomalies in data, discovering real-time correlations within sensor information, and producing accurate recommendations. With the Cloud Inference API Alpha, businesses can derive real-time insights from their time-series datasets that they input. This tool provides comprehensive details about API query results, including the various groups of events analyzed, the total number of event groups, and the baseline probability associated with each event returned. It enables real-time streaming of data, facilitating the computation of correlations as events occur. Leveraging Google Cloud’s robust infrastructure and a comprehensive security strategy that has been fine-tuned over 15 years through various consumer applications ensures reliability. The Cloud Inference API is seamlessly integrated with Google Cloud Storage services, enhancing its functionality and user experience. This integration allows for more efficient data handling and analysis, positioning businesses to make informed decisions faster.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Google Cloud Platform No 
Google Cloud Storage No 

Integrations

Google Cloud Platform Yes 
Google Cloud Storage Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Aquatic Informatics

Country

Canada

Website

aquaticinformatics.com

Vendor Details

Company Name

Google

Country

United States

Website

cloud.google.com/inference/

Product Features

Environmental

Air Management No 
Auditing Yes 
Compliance Management Yes 
Document Management No 
Emissions Inventory No 
Hazardous Materials Control No 
Sustainability Management Yes 
Training Management No 
Waste Management No 
Water Management Yes 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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