Travel is constantly evolving and there always seem to be new, easier and efficient ways to conduct business while on-the-go. However, as the industry evolves, it’s important for travelers and businesses to stay up-to-date on new services and best practices to efficiently communicate with employees and ensure overall safety.
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.
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.