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What is Doco?

Doco is an innovative writing assistant powered by AI, fully integrated into Microsoft Word and designed specifically for professionals who need to create well-structured, content-rich documents efficiently. Key Features: Users can access any document or folder from their local storage, OneDrive, or SharePoint, while leveraging personalized projects and workflows to easily produce high-quality text, tables, or presentations. With Doco's Smart Library and flexible drafting system, it provides relevant context and integrates content seamlessly, preserving the original formatting and removing the need for additional modifications. This tool is especially advantageous for those writing proposals, legal experts, educators, and researchers in policy fields. Equipped with robust enterprise features such as SOC 2 Type II compliance, SSO/SAML support, and a comprehensive Service Level Agreement, Doco enhances team productivity, consistency, and regulatory compliance, turning standard documents into outstanding outputs. Additionally, its user-friendly interface allows individuals to optimize their productivity with minimal effort, creating a smooth and efficient writing experience.

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

Azure AI Search
Azure Container Registry
Azure Database for MariaDB
Azure Kinect DK
Azure Marketplace
Azure Percept
BotCore
Cranium
Evvox
Microsoft Azure
Microsoft Intelligent Data Platform
Microsoft Word
ModelOp
NVIDIA Triton Inference Server
New Relic
Omnisient
Slingshot
Superwise
Visual Studio Code
Wizata

Integrations Supported

Azure AI Search
Azure Container Registry
Azure Database for MariaDB
Azure Kinect DK
Azure Marketplace
Azure Percept
BotCore
Cranium
Evvox
Microsoft Azure
Microsoft Intelligent Data Platform
Microsoft Word
ModelOp
NVIDIA Triton Inference Server
New Relic
Omnisient
Slingshot
Superwise
Visual Studio Code
Wizata

API Availability

Has API

API Availability

Has API

Pricing Information

$12/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

McCarren

Date Founded

2024

Company Location

United States

Company Website

www.trydoco.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and Features

Document Generation

Batch Processing
Collaboration
Digital Signature
Interaction Tracking
Multiple Output Formats
Templates

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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