# Non-profit Safety Regulator uses Machine Learning to Improve Public Safety
Author:  Pal Sinha, Barnali 
Author URL: https://financedigest.com/author/pal-sinha-barnali
Published: 2018-02-09
Category: TECHNOLOGY
Category URL: https://financedigest.com/category/technology
Meta Title: Enhancing Public Safety with Dataiku: A Case Study
Meta Description: Learn how Technical Safety BC partnered with Dataiku to implement machine learning and advanced analytics, improving hazard identification and enhancing safety
URL: https://financedigest.com/non-profit-safety-regulator-uses-machine-learning-to-improve-public-safetyhtml

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_By partnering with data science software maker, Dataiku, Technical Safety BC can grow their data capabilities through integrating machine learning and advanced analytics into their business model, allowing them to more quickly and effectively enhance public safety._

Innovation in data science and artificial intelligence/machine learning are more often than not associated with the latest news out of Silicon Valley. However, there are a growing (and arguably more important) number of applications of these incredible technological innovations in the non-profit sector, which are creating direct benefits for everyday people in communities across the globe.

One example is [Technical Safety BC](https://www.technicalsafetybc.ca/), an independent, self-funded organization that oversees the safe installation and operation of technical systems and equipment across the province of British Columbia in Canada. The not-for-profit organization recently partnered with data science software maker [Dataiku](https://www.dataiku.com/) to introduce more sophisticated machine autonomy to their hazard identification process. The partnership enables Technical Safety BC to build [machine learning](https://www.financedigest.com/machine-learning-in-artificial-intelligence.html "Machine learning in artificial intelligence") and advanced analytics-based solutions faster and more accurately, allowing the company to better target areas of high risk.

In safety regulation, conducting physical assessments is costly and false positive inspections (i.e., sending safety officers to inspect sites where no apparent risk to the public or asset owner exists) can result in significant [opportunity costs](https://www.financedigest.com/modified-flour-market-overview-cost-structure-analysis-growth-opportunities-and-forecast-to-2032.html "Modified Flour Market Overview, Cost Structure Analysis, Growth Opportunities And Forecast To 2032") each year, where those same resources could be better utilized within the safety system. Therefore, finding a [way to more accurately predict hazards is of high strategic value](https://www.financedigest.com/four-ways-impact-acts-as-a-source-of-value-for-startups-and-investors.html "Four ways impact acts as a source of value for startups and investors") to organizations like Technical Safety BC, and creates greater safety benefit to the public.

By introducing more sophisticated machine autonomy in the risk assessment process, Technical Safety BC aimed to find more high hazard sites while operating at the same resourcing level. Some of the [challenges they faced](https://www.financedigest.com/how-to-overcome-the-challenges-faced-by-women-in-business-3.html "How to Overcome the Challenges Faced by Women in Business") included: uncoordinated heterogeneous data sources; data quality; speed of collaboration; and training challenges in the use of machine-recommended predictions.

To address these challenges, Technical Safety BC created a dedicated [data](https://www.financedigest.com/top-5-data-analytics-trends-for-2023.html "Top 5 Data Analytics Trends for 2023") analytics and decision science team responsible for integrating advanced analytics into all parts of the organization. The team chose Dataiku as the tool they’d use to bring efficiency [gains to their data](https://www.financedigest.com/global-shares-slide-dollar-gains-as-rates-rise-on-strong-data.html "Global shares slide, dollar gains as rates rise on strong data") processes. Using Dataiku, Technical Safety BC is able to quickly prototype, test, iterate, and deploy innovative, data-driven solutions.

Dataiku’s collaborative [environment enables the team](https://www.financedigest.com/frameplay-announces-new-attention-metric-in-video-game-environments-validated-in-partnership-with-dentsus-attention-economy-team-by-first-to-market-studies.html "Frameplay Announces New Attention Metric in Video Game Environments, Validated in Partnership with dentsu’s Attention Economy Team by First-to-Market Studies") at [Technical](https://www.financedigest.com/saudis-sami-signs-pact-with-safran-helicopter-engines-for-engine-maintenance.html) Safety BC to easily leverage work done by colleagues. For instance, teammates can reuse models repeatedly and easily share queries that each individual team member might otherwise have had to write and rewrite for similar projects. These efficiency gains free up the team to spend more time devising [innovative new ways](https://www.financedigest.com/four-innovative-ways-to-pay-for-products-online.html "Four Innovative Ways to Pay for Products Online") to experiment with various models and provide value to their clients and to the public.

For example, [Technical](https://www.financedigest.com/saudis-sami-signs-pact-with-safran-helicopter-engines-for-engine-maintenance.html) Safety BC [recently used Dataiku on a project that leverages machine](https://www.financedigest.com/recent-research-waterjet-cutting-machine-consumables-market-is-expected-to-grow-at-a-cagr-of-4-8-by-2021-to-2031persistence-market-research.html "Recent Research: Waterjet Cutting Machine Consumables Market Is Expected To Grow At A CAGR Of 4.8% By 2021 to 2031:Persistence Market Research") learning to identify common features and signals relating to risk factors. Built on the latest machine learning technologies, the new [models developed](https://www.financedigest.com/research-and-technological-innovations-to-bolster-developments-in-animal-model-market.html "Research and Technological Innovations to Bolster Developments in Animal Model Market") in this project adapt quickly to reflect any emerging risks and to help Technical Safety BC shift resource allocations accordingly based on the most current knowledge. With the ability to rapidly prototype using Dataiku, the team used A/B testing to [check the performance of the new machine learning](https://www.financedigest.com/aml-and-identity-checks-lessons-learned-from-the-natwest-case.html "AML and identity checks: Lessons learned from the NatWest case .") models in predicting high hazard sites.

Since deployment of these new machine learning models developed with Dataiku, Technical Safety BC’s predictive [performance improved](https://www.financedigest.com/panasonic-delays-production-of-new-tesla-battery-to-improve-performance.html "Panasonic delays production of new Tesla battery to improve performance") by 85% for models predicting hazards with electrical technology compared to previous methods used. [Machine learning with Dataiku also significantly reduced the total number of mandatory inspections](https://www.financedigest.com/inspection-machines-market-research-report-overview-with-geographical-segmentation-by-revenue-with-forecast-2026.html "Inspection Machines Market Research Report: Overview With Geographical Segmentation By Revenue With Forecast 2026") for [Technical](https://www.financedigest.com/saudis-sami-signs-pact-with-safran-helicopter-engines-for-engine-maintenance.html) Safety BC, which will help optimize safety officer time so they can apply their time and expertise to potentially higher hazard situations and make a greater impact on safety. Moreover, the company has now developed a [data science](https://www.financedigest.com/crowdsourcing-of-data-to-drive-the-life-science-market.html "Crowdsourcing of data to drive the Life Science Market") roadmap around the use of Dataiku, which is comprised of user engagement and empowerment, rapid prototyping, and testing of data products as well as an ethics roadmap to guide the use of such data products to deliver best-in-class safety oversight.


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