Artificial intelligence (AI) and machine learning (ML) are being heralded as a way to solve a wide range of problems in different industries and applications, such as reducing street traffic, improving online shopping, making life easier with voice-activated digital assistants, and more.
The future of Artificial Intelligence (AI) depends on many factors. Advancements in computing power and the implementation of regulations are just two external influences that could significantly impact what AI will be able to do in the years to come. Before we get to the exciting future uses, however, it’s important to understand exactly where we are today. And that’s not as clear as it should be.
Operational resilience refers to a business’s ability to prevent, respond to, recover and learn from operational disruptions. Without operational risk management, operational disruption to a business can impact financial stability, threaten the business’s overall viability, and/or harm consumers and other businesses. Yet challenges to ensuring resilience and continuity abound, and they grow more complex each year. But here is the good news: Solutions exist.
Capital One, the second largest auto finance company in the United States, operates a Responsible Disclosure Program where researchers can disclose potential vulnerabilities via email.
Alarms are sounding, lights are flashing, and there is a sense of panic in the air. There is a fire in your facility that requires an immediate evacuation of all employees and visitors, and you are in charge. How you handle that emergency process can be a matter of life and death.
In our digital economy, data is the key to smooth functionality of everything from the government to small local companies. Without data, progress would grind to a halt. And the more sources of data you can mine, and the more data streams you can blend, the greater the value. Therefore, as more and more devices are brought online and integrated with others, the value of data only continues to grow.
It’s helpful to reflect on where we are now versus where we are going. Today, there is still more discussion about what might be possible than actual physical products on the market. Much of the conversation centers on practical ways to utilize deep learning and neural networks and how these techniques can improve analytics and significantly reduce false-positives for important events.
It is hard to believe that Global Security Exchange (GSX) 2019 is almost here. This year, it is anticipated that conversations will take a deeper dive into more intelligent security strategies and what their role is in the development of smarter infrastructures. Advanced security applications and data-enabled insights are a few main topics that will be top of mind for participants and attendees at GSX 2019.
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