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What is Plutoshift?

Plutoshift’s Operational Data Platform (ODP) provides automated performance monitoring and predictive analytics designed to optimize physical infrastructure, boost efficiency, reduce costs and waste, and promote the creation of more sustainable and resilient businesses. One of the primary obstacles in deriving value often occurs during the early phases of data extraction and processing. To combat this challenge, Plutoshift adeptly ingests, processes, and organizes data from infrastructure, business operations, and external sources, laying a robust groundwork for generating actionable insights. The platform automates and oversees the complete data pipeline, removing the necessity for additional IT staff. With Plutoshift, organizations obtain an ongoing and thorough understanding of their operations across various dimensions, such as workflow, site, and enterprise levels. Operators can quickly access trends and key performance indicators (KPIs) for all processes and assets, facilitating rapid decision-making. Moreover, the system incorporates customizable alerts, response tracking, and comprehensive contextual reports, enabling teams to swiftly identify issues, prevent potential downtimes, and uncover the root causes of complications. This proactive methodology not only boosts operational efficiency but also aids in strategic decision-making for enduring prosperity, ultimately steering organizations towards a more informed and data-driven future.

What is Continual?

Effortlessly create continuously evolving predictive models without the complexities of detailed engineering procedures. Integrate smoothly with your existing cloud data warehouse, making full use of all available data stored in its current location. Share features and deploy sophisticated machine learning models easily by utilizing just SQL or dbt, with the option to enhance capabilities using Python when necessary. Keep predictions neatly organized in your data warehouse to ensure easy access for both your business intelligence and operational systems. Manage features and predictions right within your data warehouse, which removes the need for any extra infrastructure. Build state-of-the-art models that leverage all your data without having to write code or set up complex pipelines. Encourage collaboration between analytics and AI teams thanks to the extensive flexibility offered by Continual's declarative AI framework. As your operations scale, monitor features, models, and policies through a declarative GitOps workflow. Accelerate the model development process with a collaborative feature store and a data-driven approach, while also ensuring smooth communication across teams. This forward-thinking strategy not only streamlines workflows but also promotes a more cohesive environment for deriving insights and achieving successful outcomes. Ultimately, this leads to a more agile response to business needs and an enhanced capacity for innovation.

Media

Media

Integrations Supported

Amazon Redshift
Databricks Data Intelligence Platform
Google Cloud BigQuery
Snowflake
eLynx Technologies

Integrations Supported

Amazon Redshift
Databricks Data Intelligence Platform
Google Cloud BigQuery
Snowflake
eLynx Technologies

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Plutoshift

Company Location

United States

Company Website

plutoshift.com

Company Facts

Organization Name

Continual

Date Founded

2019

Company Location

United States

Company Website

continual.ai/

Categories and Features

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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