In the era of artificial intelligence (AI), the public has become accustomed to interacting with AI-driven assistants like Apple Siri, Google Assistant, and Amazon Alexa.
But in reality, AI isn’t just about robots and self-driving cars – it can be applied to a wide range of unique uses! Here are some of the most interesting and innovative ways that AI is being used in today’s society.
1. Personalized Marketing
Personalized marketing is a powerful tool for brands to increase customer engagement, loyalty and sales. It involves delivering messages that are relevant to each person and tailored for them.
AI and machine learning can make this process easier and faster. By analyzing customer behavior and preferences, it can predict which content is best for each audience and deliver it more efficiently.
This approach is becoming more popular as it allows companies to provide a more seamless customer experience across multiple channels. It also reduces the workload on employees and improves customer service.
2. Predictive Maintenance
Predictive maintenance (PdM) is a process that identifies when equipment will need to be maintained, using data from sensors. The goal is to reduce the number of unplanned downtimes caused by equipment failure and save money by avoiding unnecessary repairs.
While predictive maintenance can be effective, it can also be difficult to implement and manage. It requires a great deal of data, time and analysis.
It can be helpful for asset-intensive businesses that are willing to embrace contemporary technologies and can perceive the big picture. However, it is not always the easiest way to go and may require retraining engineers or investing in more data scientists.
3. Smarter Transportation
AI has the potential to make transportation safer and more efficient. In addition, it can help reduce fuel costs and environmental pollution by minimizing fuel consumption and emissions.
Traffic congestion and crowded roads can pose serious challenges to commuters. However, AI can help alleviate these problems by analyzing real-time traffic data and adjusting traffic signals or redirecting vehicles to less congested roads.
Another use of AI in transportation is in predictive maintenance. By incorporating sensors that monitor vehicle health, AI can send human operators notifications in advance of engine components that are on the verge of breaking down.
AI can also improve safety by sending an automatic alert to drivers when their car detects an accident or violent event. This could decrease accidents and prevent fatalities.
4. Smarter Networks
AI can automate and connect network systems to improve performance, efficiency and reliability. It will also help reduce costs and create more transparent customer relationships by providing real-time data about their energy use.
The power grid is a massive collection of connected equipment that generates a flood of data. This data needs to be evaluated and analyzed quickly.
To do this, AI can be used to detect high-impedance faults in the grid that can cause fires and a huge impact on the environment.
In addition, if AI is used to optimize the power output of wind and solar energy, it can be used to reduce the amount of fossil fuels needed for power generation.
Using AI to automate and connect networks, service providers will be able to improve connectivity and reliability while cutting down costs and reducing carbon emissions. This will help ensure the sustainability of our planet’s resources and future generations.
5. Smarter Power Grids
As clean power sources become increasingly commonplace, grid operators must develop new strategies to incorporate them into their systems. AI can help them manage their frequency in a way that’s more compatible with renewables and reduce the risk of outages.
GE Energy’s Smart Grid solutions, for example, use AI to provide more accurate forecasting and better match customer usage with available resources. They can also predict when equipment will need maintenance and make sure it’s fixed ahead of time.
Another area where AI can help is in customer engagement. By using data analytics, energy companies can provide customers with personalized information about how they can lower their energy costs by changing their usage habits.