How will AI cut down the risk in 2021?

artificial intelligence

There has been a recent emergence of Artificial Intelligence concepts, especially in cognitive computing. These refer to advanced technology platforms that can address complex situations that are characterized by ambiguity and uncertainty. Cognitive computing has helped augment business decisions and power performance, along with the human thought process and traditional analytics.

In fact, it pertains fairly well to risk issues that often occur from unlikely and ambiguous events. These capabilities include data mining, machine learning, and natural language processing to help find indicators of known and unknown risks. That being said, let’s take a look at some of the industries that AI serves by cutting down the risks.

AI reduces in risks across industries

1. Military application of AI

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AI is now a critical part of modern warfare. Military systems that are equipped with AI are capable of handling larger volumes of data more efficiently. In addition to this, AI improves self-control, self-regulation, and self-actuation of the combat system due to its inherent computing and decision-making capabilities. Here are some other aspects of the military, where AI plays a crucial role.

Warfare – Using AI in this platform has enabled the development of efficient warfare systems that are less reliant on human input. AI is expected to power autonomous and high-speed weapons to carry out collaborative attacks.

Cybersecurity – It comes as no surprise that military systems are often vulnerable to cyber-attacks. But AT enabled systems can protect networks, programs, computers, and data from any kind of unauthorized access.

Healthcare – In the battlefield, AI integrated Robotic Surgical Systems (RSS) and Robotic Ground Platforms (RGP) provide remote surgical support and evacuation activities.

Threat awareness – Threat and situational awareness relies heavily on intelligence, surveillance, and reconnaissance or ISR operations. It acquires information and mission that can remotely be operated, thereby enhancing situational awareness.

2. AI in Space Exploration

artifificial intelligence

Although astronauts are trained psychologically to deal with extreme space situations, living in a confined space with no gravity can be quite stressful. In addition to this, it can also hamper their decision-making process. There is where AI comes into the picture. Experts are leaning on AI and other technological advancements as they have shown immense potential in space exploration like global navigation, earth observation, and communicating across planets.

AI and machine learning algorithms have been used in monitoring spacecraft, its autonomous navigation, control systems, and detecting unknown objects in the route. In addition to these AI assistants are being created to aid and support astronauts in their mission to Mars and beyond. They can understand and predict the needs of the crew, comprehend their emotions and mental health.

3. AI in medical and health care

artificial intelligence

AI in healthcare mainly refers to doctors and hospitals accessing vast data sets of potentially life-saving information. These include treatments and their outcome, survival rates, and speed of care gathered across millions of patients, geographical locations, and innumerable interconnected heal conditions. AI-based computing can help detect and analyze such trends from data and even predict potential health outcomes.

Additionally, machine learning also helps the system to learn from incoming data and identify patterns and make decisions with minimal human direction. With such analytics, doctors can assess risks, make a better diagnosis, and offer effective treatments.

4. AI in autonomous vehicles

Autonomous vehicles are one of the key application areas of AI. These vehicles are equipped with multiple sensors, like cameras, radars, and lidar, that help them better understand the surroundings and route planning. All of these sensors generate a massive amount of data. To make sense of this data AVs need instant processing capabilities that AI provides. It is usually in the form of machine learning and deep learning. AI, therefore, helps process a vast amount of data efficiently, train, and validate their autonomous driving system.

The road ahead

There are innumerable uses for AI today. Everything that AI serves from marketing campaigns to medical diagnosis is partially run with machine learning software. It is no surprise that AI technology helps those looking for predictive analysis and cutting risks of human error. As technology advances, we can expect to see more case uses and innovations in AI.

What is your take on the execution of AI technology? Drop a comment below.

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