DAIR BoosterPack Catalogue
Cloud-based Platform for Geospatial Intelligence with Machine Learning
Meet the Builder – Ecosystem Informatics
This BoosterPack provides a Geospatial-AI lnformation Toolbox (GAIT) that combines geospatial intelligence and machine learning. We’ll show you how to build a modular, scalable, cloud-based platform that provides an alternative to more expensive, proprietary software suites.
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
Automated Data Pipeline (ADP)
An automated data pipeline (ADP) is an end-to-end solution for automating the ingestion, transformation, storage, and presentation of data on a scalable platform. This BoosterPack demonstrates how a series of open-source tools can be integrated to create an ADP.
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
Automated Static and Dynamic Application Security Testing
This BoosterPack provides a set of open-source tools to help automate the process of checking your source code for vulnerabilities via static application security testing (SAST) and dynamic application security testing (DAST).
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
Build private blockchain networks on Hyperledger Fabric
This BoosterPack showcases how Hyperledger Fabric, a modular architecture DLT platform, provides the ability to build a permissioned blockchain network. These networks can perform Smart Contracts, a type of secure, real-time transaction among partners across a business network.
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
Automate Cloud Orchestration with Kubernetes
Builder: BigBitBus
This Boosterpack is intended to get you to market faster and decrease the downtime of applications developed and deployed using good Kubernetes practices.
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
IoT – Digitize any Physical Space
Builder: reelyActive
This BoosterPack provides a deployable Sample Solution that allows users to observe and study the application of Bluetooth Low Energy Real-Time Location Systems (BLE RTLS) and Kibana to solve the problem of automatically collecting and reporting data about who/what is where/how within the physical spaces of a business’s operations.
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
Time-Series Prediction with Machine Learning
Builder: BluWave-ai
This BoosterPack demonstrates the application of machine learning to develop models that provide good predictions for time-series data.
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
Automatic Recommendation System Using Machine Learning
Builder: Carla Margalef Bentabol
This BoosterPack demonstrates how a Collaborative Filtering Deep Model is used to provide recommendations to users based on their past preferences and similarities to other users. This is very useful for software developers needing an Automatic Recommendation System.
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
Apption Data Assessment Tool
Builder: Apption
This BoosterPack introduces a user-friendly solution for analyzing unstructured data, auto-identify data-types and dynamically creating an optimal database schema. The solution can recognize over 30 data types and flag sensitive data such as first and last names which are included in a summary report.
Read the Flight Plan to learn more.
See the Sample Solution to learn how.
Tell us what you’d like to see.
Are there other technologies that would benefit you in a BoosterPack? Tell us about it and we’ll work to find an experienced Canadian business to build it. Write to us at dair@canarie.ca.
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