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What is Bobidi?

Cease wasting your precious resources on data that does not accurately reflect the real world. Our dedicated team is ready to help you enhance your AI model efficiently while improving your business results! Prior to launching your AI model into the real world, where unforeseen challenges may occur, it is essential to validate it with insights from the global community. We provide thorough analysis of any weaknesses identified through this community interaction. This process enables you to assess the patterns of false positives and negatives, as well as the associated metadata. Why allocate funds to datasets filled with irrelevant information for your model? By conducting a validation before deployment, you will obtain a tailored dataset that meets the specific needs of your AI model. Your security is our top priority, and we implement a range of strategies to protect your model effectively. Our security measures involve using APIs for safeguarding, ensuring all models have a set lifespan, and maintaining a strict no-tolerance policy towards cyber threats. With our expertise, you can confidently navigate the intricacies of AI deployment, assured that your model is both optimized and well-protected, ultimately enabling you to focus on achieving your business goals. Taking these steps will not only enhance your model's performance but also build trust with your users.

What is Azure Table Storage?

Leverage Azure Table storage for the efficient management of large volumes of semi-structured data while keeping costs low. Unlike other data storage options, whether they are hosted on-site or in the cloud, Table storage offers effortless scalability, eliminating the need for any manual dataset sharding. Additionally, worries about data availability are alleviated thanks to geo-redundant storage, which ensures that your information is duplicated three times within a single region and another three times in a distant region. This service is particularly beneficial for a variety of datasets, including user information from online platforms, contacts, device specifications, and assorted metadata, empowering you to develop cloud applications without being tied to rigid data schemas. Different rows can have unique structures within the same table—such as one row containing order information and another holding customer details—granting you the flexibility to modify your application and table schema without experiencing downtime. Furthermore, Azure Table storage maintains a strong consistency model, which guarantees dependable data access and integrity. This makes it an excellent option for enterprises aiming to effectively manage evolving data needs, while also providing the opportunity for seamless integration with other Azure services.

Media

Media

Integrations Supported

Auth.js
Autymate
DQ Studio
Data Sentinel
Microsoft Azure
NXLog
SSIS Integration Toolkit
StarfishETL

Integrations Supported

Auth.js
Autymate
DQ Studio
Data Sentinel
Microsoft Azure
NXLog
SSIS Integration Toolkit
StarfishETL

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

Bobidi

Company Website

www.bobidi.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/storage/tables/#features

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

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

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