Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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