Following the news that the police will set up a new “hate lab” that will utilise AI to help predict spikes in hate crime on the streets following Brexit, Andy Davies, consultant, police & intelligence services at SAS UK highlights the importance of using data to mitigate preventable or predictable trends.
Andy stresses the need for law enforcement to find innovative ways to make analytics and resulting insights accessible to officers. Ultimately, AI and data analytics has the power to help police do their jobs more efficiently and effectively.
Expert Comments below:
Andy Davies, Consultant at Police & Intelligence Services, SAS UK:
“Law enforcement operates in an increasingly complex environment, with investigators facing unprecedented amounts of data. Because of social media, data has been released online at an unregulated rate in recent years, making the issue more challenging. Clearly, they are overwhelmed and overworked. The new “Hate Lab” is no silver bullet to getting rid of hate crime. However, reducing avoidable or foreseeable patterns is definitely a start in the right direction. Making sense of this data and understanding the underlying connections is critical in any investigation or intelligence-development activity. Data analytics is already reviewing huge volumes of intelligence data rapidly. AI and data analytics can help them cut through the noise and focus on real and emerging threats.
As a matter of fact, the Gloucestershire Constabulary has used analytics tools to enhance policing tactics, obtain immediate insight into occurrences, and pinpoint crime hotspots. Gloucestershire will now be able to draw together data from numerous systems and sources. This includes its electronic incident log, phone system, GPS-capable radios and demographic data from other sources.
Mission
“It’s vital that they look for every opportunity to operate more efficiently . They use the latest data-driven tools in the fight against crime. By using data analytics they will be in an even better position to derive intelligence.
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