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What is Xero.AI?

Meet an AI-powered machine learning engineer tailored to fulfill all your data science and machine learning needs. Xero's groundbreaking artificial analyst is poised to transform the field of data science and machine learning. By simply asking your questions to Xara, you can easily handle your data requirements. Explore your datasets and create customized visuals using natural language, thereby improving your understanding and the generation of insights. Its user-friendly interface allows you to seamlessly clean and reshape your data while uncovering valuable new features. Furthermore, by just posing a question, you can design, train, and assess an endless variety of customizable machine learning models, making the entire process both user-friendly and effective. This innovative technology is set to greatly enhance your data analysis and machine learning workflows, allowing for more efficient project execution and better decision-making. Embrace this advancement and unlock new potential in your data endeavors.

What is Azure Machine Learning?

Optimize the complete machine learning process from inception to execution. Empower developers and data scientists with a variety of efficient tools to quickly build, train, and deploy machine learning models. Accelerate time-to-market and improve team collaboration through superior MLOps that function similarly to DevOps but focus specifically on machine learning. Encourage innovation on a secure platform that emphasizes responsible machine learning principles. Address the needs of all experience levels by providing both code-centric methods and intuitive drag-and-drop interfaces, in addition to automated machine learning solutions. Utilize robust MLOps features that integrate smoothly with existing DevOps practices, ensuring a comprehensive management of the entire ML lifecycle. Promote responsible practices by guaranteeing model interpretability and fairness, protecting data with differential privacy and confidential computing, while also maintaining a structured oversight of the ML lifecycle through audit trails and datasheets. Moreover, extend exceptional support for a wide range of open-source frameworks and programming languages, such as MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R, facilitating the adoption of best practices in machine learning initiatives. By harnessing these capabilities, organizations can significantly boost their operational efficiency and foster innovation more effectively. This not only enhances productivity but also ensures that teams can navigate the complexities of machine learning with confidence.

Media

Media

Integrations Supported

APERIO DataWise
Azure AI Search
Azure Container Registry
Azure Database for MariaDB
Azure Kinect DK
Azure Percept
BotCore
Cranium
Evvox
Kedro
MLflow
Microsoft Azure
Microsoft Intelligent Data Platform
ModelOp
NVIDIA Triton Inference Server
New Relic
Omnisient
Slingshot
Superwise
Wizata

Integrations Supported

APERIO DataWise
Azure AI Search
Azure Container Registry
Azure Database for MariaDB
Azure Kinect DK
Azure Percept
BotCore
Cranium
Evvox
Kedro
MLflow
Microsoft Azure
Microsoft Intelligent Data Platform
ModelOp
NVIDIA Triton Inference Server
New Relic
Omnisient
Slingshot
Superwise
Wizata

API Availability

Has API

API Availability

Has API

Pricing Information

$30 per month
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

Xero.AI

Date Founded

2023

Company Website

www.xerodotai.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/machine-learning/

Categories and Features

Machine Learning

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

Categories and Features

Data Labeling

Human-in-the-loop
Labeling Automation
Labeling Quality
Performance Tracking
Polygon, Rectangle, Line, Point
SDK
Supports Audio Files
Task Management
Team Collaboration
Training Data Management

Machine Learning

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

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