According to research, Artificial Intelligence outperforms humans at a variety of complicated jobs. As a result, we may use AI to make ourselves safer by eliminating the risk of human error, and employ it for the following tasks:
One of the most pressing issues of our time is cybersecurity. Every few seconds, new malware emerges, and everybody in charge of IT security understands that information security must now be analysed using a prism of risk
Some argue that protecting our gadgets, systems, and data against all threats has become impossible. “It’s time to retire,” said Brian Dye, vice president of Symantec, a renowned antivirus software provider.
Retire because today’s virus is sophisticated. It can learn as it goes and utilises artificial intelligence to plan cyberattacks. However, how can businesses respond? There is only one option.
They will have to battle AI with AI. It is no wonder that many companies initial entry into artificial intelligence is in the field of cybersecurity, as AI-based procedures (and tools that automate the prevention of cyberattacks) are the most effective nowadays.
For instance, in 2017, researchers from MIT’s Computer Science and Artificial
Intelligence Laboratory (CSAIL) developed a cyber-security monitoring system that scanned 3.6 billion lines of code each day only for the purpose of detecting flaws and intrusions.
These are the kinds of AI processes that keep us safe: ones that can detect patterns and abnormalities at a large scale, alerting us to cyber-attacks, and then blocking the threat before it can take root.
Artificial Intelligence — and related technologies such as Machine Learning —provide us with the opportunity to fight back against hackers; the opportunity to win.
Eliminating human error
In terms of occupational safety, the human factor is critical.
We can’t deny the reality that weariness and stress play a role in many accidents.
As a result, one of AI’s most significant benefits is its capacity to remain alert, focused, and comfortable at all times.
Complex AI algorithms can also assist finance and accounting professionals in their daily responsibilities, minimising manual effort and allowing them to focus on more vital tasks, freeing up time to reduce mistake rates and enhance efficiencies.
Imagine the impact of automating everyday chores, giving your staff more time to work on interesting initiatives that excite and encourage, allowing your company to expand and flourish.
Enhancing traffic safety
Vehicles that use AI, as we indicated at the outset, can improve road safety.
They can reduce human mistakes behind the wheel, remind human operators to drive more safely, and advise us to take all required precautions.
Furthermore, AI can assist in identifying and, as a result, reducing harmful circumstances, as well as educating humans to drive more cautiously.
Take, for example, current automobiles that use AI-driven solutions to Remind drivers to follow the rules of the road, keep a safe gap between themselves and other vehicles.
Make sure you’re in the right lane. However, there are more examples of Artificial Intelligence being used to increase road safety.
Professor Simon Washington of the University of Queensland in Australia used video analysis, Artificial Intelligence, Deep Learning, and sophisticated econometrics to investigate and identify road user behaviours.
He created crash risk analysis algorithms that take into account the interactions between automobiles, pedestrians, and bikes.
The software was able to extract data on the times and places where the danger of accidents was greatest, allowing them to work out how to improve road safety and prevent accidents in the future.
The solution devised by Washington has been applied in 20 cities across eight countries, and it has enhanced the safety of hundreds of previously problematic junctions.
Implement Artificial Intelligence at work to meet the changing expectations of teams around the world
Assisting with disease prevention and detection
AI is already being utilised to improve the efficiency of complex operations such as drug research.
It also aids medical discoveries by assisting clinicians in better predicting which procedures and prevention efforts would be effective in specific patient groups. It can even look at results based on a patient’s lifestyle, local environment, and genetic variations.
Let’s take a look at how AI is helping radiologists be more productive.
Stanford University researchers created an algorithm to evaluate chest X-rays for indicators of illness. It can identify up to 14 different medical conditions, with one particularly shocking result: it can diagnose pneumonia better than a team of expert radiologists.
Hospitals are now employing Machine Learning and Artificial Intelligence solutions in a variety of ways. Take, for example, the Montpellier Hospital in France.
It analyses patient data with AI, allowing for better patient visit management.
The technology analyses both organised and unstructured data from medical records and doctors notes to create a complete and accurate health portrait of the patient, enabling more effective patient service and speedier diagnosis.
Overall, AI is a useful medical tool, but we must remember that it cannot address medical problems without the help of humans. Medical care entails a great deal of responsibility.
Detecting criminal activity
Many technologies can assist law enforcement in detecting and combating crime. Artificial intelligence (AI) is one of them because it can predict when and where a crime will be committed before it occurs.
However, how is that even possible?
PredPol, a startup that uses Big Data and Machine Learning to forecast the time and location of a future crime, is to thank.
PredPol’s software analyses existing data based on previous crimes and forecasts when and where the next crime is most likely to occur — and its method is in use in various locations across the United States.
Researchers from PredPol have even shown how a police patrol employing PredPol’s approach can reduce crime by 7.4 per cent.
Hospitals are now employing Machine Learning and Artificial Intelligence solutions in a variety of ways. Take, for example, the Montpellier Hospital in France.
It analyses patient data with AI, allowing for better patient visit management.
The technology analyses both organised and unstructured data from medical records and doctors notes to create a complete and accurate health portrait of the patient, enabling more effective patient service and speedier diagnosis.
Overall, AI is a useful medical tool, but we must remember that it cannot address medical problems without the help of humans. Medical care entails a great deal of responsibility.