Our unique KPI analysis platform allows for better, deeper and more accurate predictions and forecasting, and through Empowered-AI, a new approach to performance management that delivers compelling results, KPIs can be tracked in real-time while hidden data patterns that link to a root cause are evaluated. To this end, Vizen is developing an approach to offer predictive analysis for government solutions – solutions that bring with them the promise of solving real world challenges.
The notion that government should focus more on preventing problems rather than merely reacting to them isn’t a new one; the difference is, in today’s times, advances in predictive analysis allow more governments to work toward foreseeing calamities. What do we mean by this? With the continuously evolving technological landscape we find ourselves in, we now have the ability to accomplish this on a regular basis – and successfully – via analyzing massive historical data sets and millions of pages of unstructured text to identify patterns and forecast problems.
This, in turn, is leading more governments to direct resources toward fixing problems before they arise.
Vizen Fun Fact: The U.S. Air Force has used predictive maintenance technology in an effort to predict when an aircraft may break down, and then carry out preventative replacements and maintenance to avoid it. This reduces aircraft downtime and helps minimize future repair costs.
Given the unstable, wholly unpredictable nature of our world right now, it seems fitting that we here at Vizen turn our attention towards solutions for reducing crime. According to statistics garnered from an anticipatory government analysis by Deloitte Insights, the police department of Durham, North Carolina uses AI to observe patterns and interrelations in criminal activities and to identify hot spots with a high incidence of crime – thus allowing for quicker interventions. This helped contribute to a 39-percent drop in violent crime in Durham from 2007 to 2014.
Meanwhile, across the country in Los Angeles, the LAPD’s predictive models have helped predict crime occurrences twice as accurately as trained crime analysts, according to Stuart Wolpert’s Predictive Policing Substantially Reduces Crime in Los Angeles During Months-Long Test report, with these models enabling the department to determine exactly where law enforcement officers should be deployed in the city to prevent crime.
Predictive analytics can also be used to help predict financial crimes such as insider trading and tax evasion.
Predictive analytics tools allow the government to get ahead of problems before they waste money, harm IT systems or, at their worst, cost lives. Such data analytics platforms can provide agency leaders, IT professionals and analysts of all kinds with actionable insights they can use to enhance their missions, beef up their cybersecurity, save money on maintenance costs and generally make more informed decisions.
And Vizen will remain on the very bleeding edge of all of these advancements.
Avi Ben Ezra is the chief technology officer at SnatchBot. As a true tech visionary and leader in the area of AI, NLP and Chatbots, he contributes valuable information and research to multiple industries, including banking finance, government, health, military as well as travel & tourism.
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