Changes

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Today’s regulatory landscape is complex and continually evolving, through rapid scientific innovation, technological advances and global supply chains. ROEB is committed to modernizing and transforming its compliance and enforcement approach to become more agile, assertive, consistent, innovative, proactive and risk-based. Digital Transformation will be a key component to drive change required to thrive in a digital world. ROEB's [[Strategic plan|Strategic Plan]] sets the vision for Digital Transformation to enable ROEB as a world class compliance and enforcement leader.

 

The [[ROEB Transformation Office|Transformation Office]] was established to both support and lead this transformation movement by collaborating with compliance and enforcement programs to curate the mindset critical for change. As part of this movement, the Transformation Office, in collaboration with many divisions and programs within ROEB and beyond, is testing and applying novel technologies to advance compliance and enforcement into the digital era. [[File:TO Placemat.png|thumb]]

 

====Natural Language Processing (Artificial Intelligence):====

====Natural Language Processing (Artificial Intelligence):====

There are several projects testing [[wikipedia:Natural_language_processing|Natural Language Processing]] to support uses cases within ROEB. [[Project Cipher]] is a prime example of this technology to support the inspection programs. [[Project Cipher]] began as a [[Solutions Fund]] project to test the technology applied to inspection observations to create an automated process to assign risk to each observation and other business process requirements critical within many inspection programs (for example: assignment of "Standard Lines").  

There are several projects testing Natural Language Processing (NLP) to support uses cases within ROEB. [[Project Cipher]] is a prime example of this technology to support the inspection programs. [[Project Cipher]] began as a [https://www.gcpedia.gc.ca/wiki/Health_Canada_Innovation_and_Experimentation Solutions Fund] project to test the technology applied to inspection observations to create an automated process to assign risk to each observation and other business process requirements critical within many inspection programs (for example: assignment of "Standard Lines"). [[Cyclops|Project Cyclops]] also uses NLP to interpret and classify extracted text from Natural Health Product labels. 

====Robotics & Remote Sensing (Drones and Satellites)====

====Robotics & Remote Sensing (Drones and Satellites)====

As part of a Solutions Fund project called [[Hummingbird]], ROEB has been testing data collected using drones and satellites to assess value when applied to outdoor cannabis inspections. To find out more, please visit the [[Hummingbird]] [https://022gc-my.sharepoint.com/:f:/r/personal/peter_yoon_hc-sc_gc_ca/Documents/Hummingbird?csf=1&web=1&e=BPdGag repo].  

As part of a Solutions Fund project called [[Hummingbird]], ROEB has been testing data collected using drones and satellites to assess value when applied to outdoor cannabis inspections. To find out more, please visit the [[Hummingbird]] [https://022gc-my.sharepoint.com/:f:/r/personal/peter_yoon_hc-sc_gc_ca/Documents/Hummingbird?csf=1&web=1&e=BPdGag repository].  

====Computer Vision (Artificial Intelligence):====

====Computer Vision (Artificial Intelligence):====

Project [[Cyclops]], a ROEB Solutions Fund project, leverages computer vision to detect and interpret text in images via optical character recognition. This technology supports checking instances of non-compliance in natural health project labels examined by inspectors.

Project [[Cyclops]], a ROEB Solutions Fund project, leverages computer vision to detect and interpret text in images via optical character recognition. This technology supports checking instances of non-compliance in natural health project labels examined by inspectors. Other projects like [[Project Drab|Drab]] are also exploring computer vision to support the tobacco label inspection process.  

====Virtual Reality:====

====Virtual Reality:====

There are many plans to leverage [[wikipedia:Virtual_reality|Virtual Reality]] (VR) technology to support both inspection training and outreach / education activities ROEB is responsible for. Preliminary research is being conducted to further examine this technology. An example, [[Project Apollo]] created a VR tool to create a learning environment to public consumption.   

There are many plans to leverage [[wikipedia:Virtual_reality|Virtual Reality]] (VR) technology to support both inspection training and outreach / education activities ROEB is responsible for. Preliminary research is being conducted to further examine this technology. An example, [[Project Apollo]] created a VR tool to create a learning environment to public consumption.   

====Social Media Monitoring (Artificial Intelligence):====

====Social Media Monitoring (Artificial Intelligence):====

[[Project Kelpie]] is exploring [[wikipedia:Social_media|Social Media]] data to directly inform decisions by understanding youth and the vaping market

[[Project Kelpie]] is exploring [[wikipedia:Social_media|Social Media]] data to directly inform decisions by understanding youth and the vaping market

====Geographic Information Systems:====

There is a growing need to incorporate [[wikipedia:Geospatial_(disambiguation)|geospatial]] information as part of the analyses conducted by many ROEB inspection programs. ROEB is examining GIS technology to support various data augmentation needs. [[Project Sia]] is examining GIS platforms to integrate data to inform Compliance & Enforcement decisions using map-based visualization tools. Example technology: [https://storymaps.arcgis.com/ ArcGIS StoryMaps]   

 

 

==== Geographic Information Systems: ====

There is a growing need to incorporate [[wikipedia:Geospatial_(disambiguation)|geospatial]] information as part of the analyses conducted by many ROEB inspection programs. The [[ROEB Transformation Office|Transformation Office]] is examining GIS technology to support various data augmentation needs. [[Project Sia]] is examining GIS platforms to integrate data to inform Compliance & Enforcement decisions using map-based visualization tools. Example technology: [https://storymaps.arcgis.com/ ArcGIS StoryMaps]   

 

 

 

 

There are many [[wikipedia:Web_scraping|web scraping]] initiatives currently exploring various open or closed source technologies. [[Project Sparrow]] is a project exploring a digital library of online data enabled by web scraping technologies of emerging health products, techniques, technology, processes, trends etc, for the purpose of informing Compliance &Enforcement decisions​

POD-TBI is currently experimenting with “[[ROEB-SceneDoc|SceneDoc]]” application, a Digital Notebook solution created and designed with regulatory officers and their needs in mind.  This mobile software fills many of the gaps that currently exist for ROEB C&E inspectors in the field, including their ability to effectively and efficiently collect, track, and store information from an inspection using smartphone or tablet.  The SceneDoc – Digital Notebook would also provide a solution for extracting digital content, such as pictures, video and other multimedia from smartphones.

=== Technology Being Used ===

====Chatbots:====

[https://vidcruiter.com/ Vidcruiter]

[[Project Iris]] is examining if a continuously learning, automated central system (Chatbot) for incoming inquiries for all ROEB is appropriate and feasible.