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What is Kelvin?

Elevate your process management capabilities by pinpointing areas for improvement in real-time data monitoring systems. Adopt closed-loop control methods to enhance operational efficiency effectively. Integrate traditional system architectures with contemporary insights and data through a solid software integration framework. Revamp your workflows and assignments into specialized control applications that are aimed at maximizing operational productivity and enhancing team effectiveness. Supervise, modify, and optimize these control applications to ensure they play a pivotal role in generating value for your business. Employ user-friendly tools to merge various data streams into a unified platform, enhancing accessibility and usability. Commit to the consistent refinement and enhancement of information as it flows through your systems, ensuring high-quality data delivery. Simplify the creation of control applications by developing a thorough data model tailored to your needs. Identify trends and irregularities within your streaming data to guide and refine decision-making processes related to control. Such strategies empower organizations to achieve remarkable improvements in their operational dynamics, setting the stage for sustained success. As a result, businesses can adapt and thrive in an ever-evolving marketplace.

What is Google Cloud Inference API?

Examining time-series data is essential for the operational success of many enterprises. Typical uses include evaluating customer traffic and conversion percentages for businesses, detecting irregularities in datasets, uncovering instantaneous correlations from sensor data, and generating precise recommendations. With the Cloud Inference API Alpha, organizations can obtain immediate insights from their time-series data inputs. This tool delivers extensive information about the results of API queries, detailing the different categories of events examined, the total count of these event groups, and the baseline probability linked to each returned event. It supports real-time data streaming, allowing for the calculation of correlations as they happen. By utilizing Google Cloud’s robust infrastructure and a thoroughly developed security strategy refined over 15 years through diverse consumer applications, businesses can count on its reliability. Additionally, the Cloud Inference API is integrated with Google Cloud Storage services, which enhances both its functionality and user experience. This integration results in more effective data management and analysis, equipping businesses to make quicker, data-driven decisions. Ultimately, the ability to swiftly interpret time-series data can significantly influence a company’s competitive edge in the market.

Media

Media

Integrations Supported

Armada.ai
Google Cloud Platform
Google Cloud Storage

Integrations Supported

Armada.ai
Google Cloud Platform
Google Cloud Storage

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

Kelvin

Date Founded

2013

Company Location

United States

Company Website

kelvin.ai/

Company Facts

Organization Name

Google

Company Location

United States

Company Website

cloud.google.com/inference/

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)

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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