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ease
features
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support

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Description

To enhance a process effectively, the initial requirement is a thorough understanding of it. Bloomfilter leverages process mining to scrutinize time-series data from your entire infrastructure, constructing a tailored model of your software development workflow and assisting in its optimization. It provides insights into the cost distribution across building, running, and maintaining software. While the art and science of software development coexist, teams that utilize data-driven methodologies tend to release products more frequently and foster quicker innovation. Convert sprints and story points into monetary values to gain a clearer perspective. Identify breakdowns within your process and receive recommendations for improvement. Enhance predictability during work scoping and improve estimations for the delivery of new features. Additionally, receive unbiased evaluations of your development practices articulated in comprehensible terms for all stakeholders involved. This comprehensive approach drives continuous improvement and aligns the team towards common goals.

Description

Nixtla is a cutting-edge platform designed for time-series forecasting and anomaly detection, centered on its innovative model, TimeGPT, which is recognized as the first generative AI foundation model tailored for time-series information. This model has been trained on an extensive dataset comprising over 100 billion data points across various sectors, including retail, energy, finance, IoT, healthcare, weather, and web traffic, enabling it to make precise zero-shot predictions for numerous applications. Users can effortlessly generate forecasts or identify anomalies in their data with just a few lines of code through the provided Python SDK, even when dealing with irregular or sparse time series, and without the need to construct or train models from the ground up. TimeGPT also boasts advanced capabilities such as accommodating external factors (like events and pricing), enabling simultaneous forecasting of multiple time series, employing custom loss functions, conducting cross-validation, providing prediction intervals, and allowing fine-tuning on specific datasets. This versatility makes Nixtla an invaluable tool for professionals seeking to enhance their time-series analysis and forecasting accuracy.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Databricks
Google Analytics
Google Cloud Platform
Google Sheets
Microsoft Azure
Microsoft Excel
Python
R
Snowflake
Velt

Integrations

Amazon Web Services (AWS)
Databricks
Google Analytics
Google Cloud Platform
Google Sheets
Microsoft Azure
Microsoft Excel
Python
R
Snowflake
Velt

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Bloomfilter

Founded

2022

Country

United States

Website

www.thebloomfilter.com

Vendor Details

Company Name

Nixtla

Founded

2021

Country

United States

Website

www.nixtla.io

Product Features

Predictive Analytics

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

Alternatives

Alternatives

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