Technical and Business Interns working within cross functional teams to commercialize AI-powered solutions

The intern listed (Divena Raina) on this particular application will work alongside the Government of Alberta on the Smart Document Extraction Agent team. The goal of a Government of Alberta Redaction Assistant would be to empower the government to handle sensitive information and access requests with greater eff iciency and security.
? Focus: using the SDP application template to create an Automated PII Redaction Tool. The main reason for the project is to automate the identification and masking of Personally Identifiable Information (PII) in high-volume, unstructured public sector documents, such as those related to Freedom of Information and Protection of Privacy (FOIP) requests. This automation replaces the current manual, time-consuming, and error-prone redaction process, directly addressing the growing volume of digital data and the increasing regulatory burden under new privacy legislation.
? Value: The Value of the project is substantial in terms of financial savings, risk mitigation, and operational eff iciency. The automation of redaction provides financial benefit by freeing up highly skilled FOIP analysts and records management off icers from repetitive, manual tasks, allowing them to focus on complex policy interpretation and disclosure decisions. The solution brings value to citizens by ensuring the GoA is compliant with the Protection of Privacy Act (PPA), drastically reducing the risk of accidental PII disclosure (data breach risk).
The intern listed (Nicholas Chin) on this particular application will be working alongside the Government of Alberta team to streamline the deployment of “Smart Document Extraction Agents” using Machine Learning. The goal of a Government of Alberta Redaction Assistant would be to empower the government to handle sensitive information and access requests with greater eff iciency and security..
? Focus: using the SDP application template to create an Automated PII Redaction Tool. The main reason for the project is to automate the identification and masking of Personally Identifiable Information (PII) in high-volume, unstructured public sector documents, such as those related to Freedom of Information and Protection of Privacy (FOIP) requests. This automation replaces the current manual, time-consuming, and error-prone redaction process, directly addressing the growing volume of digital data and the increasing regulatory burden under new privacy legislation.
? Value: The Value of the project is substantial in terms of financial savings, risk mitigation, and operational eff iciency. The automation of redaction provides financial benefit by freeing up highly skilled FOIP analysts and records management off icers from repetitive, manual tasks, allowing them to focus on complex policy interpretation and disclosure decisions. The solution brings value to citizens by ensuring the GoA is compliant with the Protection of Privacy Act (PPA), drastically reducing the risk of accidental PII disclosure (data breach risk).
The intern listed (Syra Singh) on this particular application will be working alongside the AltaForge team to streamline the product management and product marketing eff orts for AltaForge, which is AltaML’s proprietary AI Agent platform. The goal of this platform is to consolidate Agentic AI solutions built by AltaML.
? Focus: The main reason for this project is to standardize Agentic AI solutions, such as the “Smart Document Extraction Agents”, into a client-facing application that allows the client to interact with, observe the performance of, and view key performance indicators related to their solution. This proprietary platform allows for standardizing how AltaML creates and delivers AI solutions for diff erent clients, rectifying the ineff iciencies of developing bespoke solutions.
? Value: The value of this project lies in the standardization of how AltaML develops and delivers secure, observable, and managed AI solutions for their clients. Furthermore, it brings value across all AltaML’s clients by serving as a governance layer for AI Agents provisioned for clients with focus on transparency, robustness, and clear metrics that relay an AI Agent’s performance to key stakeholders through KPI dashboards
The interns listed (Joseph Zhang, Anderson Yang) on this particular application will be working alongside the AltaForge team to develop features for AltaForge, which is AltaML’s proprietary AI Agent platform. The goal of this platform is to consolidate Agentic AI solutions built by AltaML.
? Focus: The main reason for this project is to take a real-world problem and deliver a solution where parts of it can be built as reusable IP for AltaForge
? Value: The value of this project lies in the development of a reusable IP that will bring value across many more AltaML clients.

Faculty Supervisor:

Judene Pretti

Student:

Partner:

AltaML

Discipline:

Computer science

Sector:

Information and cultural industries; Professional, scientific and technical services

University:

University of Waterloo

Program: