The safety, security, and emergency management industries have a lot to gain from the recent upsurge of Big Data and artificial intelligence (AI).
Chinese companies are using a complex neural network technique called backpropagation (used to work on error-prone projects within deep-learning algorithms) to assess and determine the safety levels. An IOPscince.iop.org study by H. Jiao, et al., explains that backpropagation also optimizes the operating conditions, and studies the reliability of emergency procedures of chemical facilities and industrial parks.
Other uses of AI-based corporate intelligence gathering include industrial espionage on competitors, fortifying sensitive data against cyber threats (and other companies’ espionage efforts), and preparation for facing face challenging geo-political risks. And of course, data gathering and analysis via machine-learning algorithms also produce valuable business insights that can help improve everything from manufacturing to human resources to marketing.
Those pursuing a career in emergency management, health and safety, or security should familiarize themselves with corporate intelligence gathering. Enrolling in a post-graduate online emergency management degree program can offer emergency workers a path toward a middle or upper management position in the emergency services industry.
Why Intelligence Gathering is Vital to Corporate Security
Business decisions and intelligence gathering walk hand in hand today just as they did in the days of the Rockefellers and Rothschilds. Today, though, collecting intel takes place mostly over computer networks and the internet and with the aid of AI algorithms designed to extract valuable insights from massive datasets.
CEO of SMR Group Jerry Brennan presents a list of the major roles industrial intelligence can play in modern business in his Security Magazine article, “The Role of Intelligence in Corporate Security.” According to Brennan, intelligence is hugely beneficial to:
- Defending against emerging security threats: Predictive intelligence and other new cyber security practices and standards help a company’s security functions better ensure risk management and resiliency.
- Mitigating geo-political risks: Political conflicts overseas, especially in areas where a company has a vested interest, can threaten financial and operational stability. Professionals are hired to structure analytics frameworks that can deal with incidents as they arise.
- Practicing due diligence: Supply chain management, safety compliance, and security of sensitive data all require due diligence on behalf of security management. Data gathering and analysis can help protect a company’s assets, including human assets, especially during a merger or acquisition.
- Gathering competitive information: AI-assisted analysis of competitor data, from sales records to demographics, pricing, and shipping information, can inform business decisions and new corporate programs.
- Distributing counter-intelligence: Business counter-intelligence aims to tackle vulnerability issues. A company could, for example, promote its own high safety standards of safety (or a competitor’s low safety standards) to win new clientele and improve its overall public image.
The term “corporate espionage” brings to mind images of secretive people skulking into a company by using a false identity, and such incidents still take place. The primary purpose of industrial espionage, however, is to legally gather knowledge that businesses can use to expand, get an edge on a competitor, or bring potentially helpful (or dangerous) information to light.
The Continued Growth of Intelligence Gathering
As new technology becomes available to both corporate and consumer clients, Big Data’s surveillance capabilities grow exponentially. Smart devices (IoT) now expand surveillance capabilities through Wi-Fi-connected sensors, cameras, GPS positioning systems, health monitors, bar code scanners, and audio features. They produce data that can paint a more complete picture of our world. IoT insights let corporate decision-makers know better the who, what, when, where, and why of IoT tech usage.
With massive amounts of data being stored in data silos for future analysis, interdepartmental and inter-industry cooperation are becoming the norm. As a result, regulations and procedures are standardizing.
As Lucas Thelosen writes in “The Future of Business Intelligence (BI)” on SelectHub.com, the future of business intelligence gathering will see a substantial increase in collaboration, integration of third-party systems, machine learning development, data proactivity (automatic responses to inquiries), advances in network infrastructure, and an increasingly data-driven culture.
Eastern Kentucky University’s Master of Science in Safety, Security, and Emergency Management Program (MSSSEM)
Over the next decade, applied data analytics are expected to improve the efficiency of industry insights that safety, security, and emergency management professionals use to make effective and timely decisions.
EKU offers three MSSSEM concentrations – occupational safety, emergency management, and homeland security – and courses in emergency planning and response, security management, homeland security, industrial safety, crisis response, fire safety, and intelligence analysis.
The fully accredited online emergency management degree program prepares students to sit for their Associate Safety and Health Manager (ASHM) certification and the Certified Safety and Health Manager (CSHM) exam. For more information, visit the program webpage today.
Study of Safety Evaluation Based on Artificial Neural Network – IOPscience.iop.org
The Role of Intelligence in Corporate Security – SecurityMagazine.com
A Model for Improving Cooperation in Cyber – JustSecurity.org
The Future of Business Intelligence – SelectHub.com