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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

App Orchid is transforming how businesses tackle digital transformation by empowering users with AI capabilities directly. This innovative platform is making AI accessible to all, eliminating the need for lengthy and costly IT projects. With App Orchid, enterprises can implement AI applications seamlessly, without the requirement of coding, system replacements, or extensive training programs. The platform takes care of preparing enterprise data to be "AI Ready" by managing the complete knowledge harvesting lifecycle, which means you avoid the hassle of deploying and integrating multiple tools. A standout feature is its ability to incorporate the "tribal knowledge" of your employees, ensuring that you receive the most valuable insights and recommendations tailored to your business needs. In contrast to traditional AI platforms or analytical solutions, the App Orchid platform simplifies the process by executing the full Knowledge Harvesting Lifecycle, thus making your data ready for AI without the need to clean historical data or connect various tools. This approach not only enhances efficiency but also maximizes the potential of your existing resources.

Description

bi(OS)® offers an unmatched speed to insight for developers of data applications in a cohesive manner. With bi(OS)®, the entire process of creating data applications can be completed in just a matter of hours to days. This comprehensive approach encompasses the integration of diverse data sources, the extraction of real-time insights, and the smooth deployment into production environments. By joining forces with enterprise data teams across various sectors, you can transform into the data superhero your organization needs. The combination of Open Source, Cloud, and SaaS has not fulfilled its potential for delivering genuine data-driven results. Enterprises have largely focused their investments on data movement and integration, a strategy that is ultimately unsustainable. A fresh perspective on data management is urgently required, one that considers the unique challenges of enterprises. bi(OS)® is designed by rethinking fundamental principles in enterprise data management, ranging from data ingestion to insight generation. It caters to the needs of API, AI, and BI developers in a cohesive manner, enabling data-driven outcomes within days. As engineers collaborate effectively, a harmonious relationship emerges among IT teams, tools, and processes, creating a lasting competitive advantage for the organization.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) Yes 
ArcGIS Yes 
Cloudera Yes 
PI Vision Yes 
SAP Cloud Platform Yes 
dataPARC Historian Yes 
kdb+ Yes 

Integrations

Amazon Web Services (AWS) No 
ArcGIS No 
Cloudera No 
PI Vision No 
SAP Cloud Platform No 
dataPARC Historian No 
kdb+ No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

App Orchid

Founded

2013

Country

United States

Website

www.apporchid.com/ao-platform/

Vendor Details

Company Name

Isima

Founded

2016

Country

United States

Website

www.isima.io/product/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Warehouse

Ad hoc Query No 
Analytics No 
Data Integration No 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load No 
In-Memory Processing No 
Match & Merge No 

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