Artificial intelligence and machine learning technologies have already been applied in a wide range of industries including healthcare, finance, construction, transportation, logistics, education, etc. In other words, AI and ML revolution is not coming — it's already here, disrupting many existing sectors. Here are the top 5 industries (already seeing the effects of AI) that will get disrupted by AI and ML the most in the future.
Agriculture
Since the global human population is growing at a rapid rate and on the other hand, the natural resources are degrading day by day, it's critical to produce more with less available resources. Luckily, AI has the potential to improve agriculture. Artificial intelligence and machine learning technologies will help:
· tackle the challenge of a workforce shortage with agricultural robotics
· predict the impact of environmental changes on crop yields
· analyze crop health by drones
· detect pests with an AI-enabled system
Predictive Healthcare
Artificial intelligence and machine learning technologies have already entered the healthcare sector and will undoubtedly continue to revolutionize the healthcare industry in the future.
The introduction of artificial intelligence can specifically improve predictive analytics in healthcare. This means that healthcare systems can predict epidemic conditions and the growth of chronic diseases, and suggest preventive measures before they get worse.
Marketing
The marketing industry will benefit from AI in a number of ways. AI and ML will help marketing departments reach customers more easily (AI targeted advertising). For example, Google and Facebook ads have already started using AI technology for better targeting. On top of that, AI and ML technologies will make it easier to track the effectiveness of certain marketing techniques to design more effective advertising campaigns.
Financial Services
Artificial intelligence and machine learning are having a significant impact on the financial sector as well.
Today, the finance industry is rapidly deploying machine algorithms to automate time-consuming processes, and offering a more streamlined and personalized customer experience.
One of the most common use cases for AI and ML applications in finance is fraud detection. AI models based on big data allow detecting fraudulent activities by analyzing the clients' behaviors and online transaction histories. Such models can prevent some suspicious behavior with a rather big precision.
In the near future, AI financial advisors will likely replace human advisors. AI financial advisors will always be available to provide automated financial advice to investors no matter the time.
Cybersecurity
Artificial intelligence and machine learning have become critical technologies in information security, as they can be used to detect threats and other potentially dangerous activities in real-time. AI-assisted systems can find viruses and malware by using machine learning processes and data science algorithms.
Wrapping up….
Even though machine learning is still in its early stages, it is already transforming the world. A wide range of industries are strongly impacted by this unstoppable trend. Without a doubt, we will see the continued impact of artificial intelligence and machine learning in new industries in the future.
