As a B2B marketing agency, we have customers in a variety of industries, which allows us the luxury of having our ears to the ground in a lot of areas. It is of course in our interest to know and understand the influencing factors of our customers’ business areas, and we actively pursue this knowledge.
Artificial Intelligence (AI) is an investment that almost every customer is considering right now and with the global AI market expected to experience massive growth in the coming years, with revenues increasing to an expected $89.85 billion by 2025, it’s fair to say they’re not alone!
Businesses are considering how they can utilise AI to enhance their business offering from streamlining their production, improving quality control and ultimately, providing a better end user experience. On the other hand, other businesses are considering how they can package and sell solutions that offer AI or enable AI.
Streamlined
Production
Improve Quality
Control
Better End User
Experience
What is all the hype and how is AI being used in our world today?
Manufacturing & Engineering
Artificial Intelligence continues to revolutionise the industrial sector (Industry 4.0), with businesses embracing many aspects of AI technology from improving quality control to creating a ‘lights out factory’ where there is minimum human interaction.
Robotic process automation is common in factories – machines can be programmed to perform high-volume, repetitive tasks that can be adaptable to changing circumstances. Through Machine Learning, machines can learn to tweak and change without additional programming to more effectively operate depending on material, conditions and shape, for example.
Transportation
Autonomous vehicles are the most anticipated development from AI and it’s no wonder when self-driving vehicles are boasting benefits of improved safety and faster and more efficient journey times.
Driverless vehicles won’t just be constrained to the roads with cars and trucks. In the rail industry, digital is growing fast, embracing IoT and embracing software AI driven train management. A new fleet of self-driving trains will run on mainline routes in and out of London from May this year using the Automatic Train Operation (ATO) system.
What precautions need to be considered against AI vulnerabilities?
As the complexities of technology increases, so will the vulnerabilities of the software. Security is a major concern for the manufacturer and the consumer of products which use AI, IoT and other learning technologies. Connections between devices are required for AI to function and by 2027, experts predict there could be up to 41 billion connected IoT devices, but the more devices that are connected, the more things there are to control and secure.
An example of these potential security flaws was highlighted in 2015 after hackers took control of a Jeep over the internet and disabled the engine and brakes and crashed it into a ditch. The hack was demonstrated by cybersecurity researchers Charlie Miller and Chris Valasek, who were again able to hack into the 2014 Jeep Cherokee, and from a mile away, turn the steering wheel, disable the brakes and shut down the engine. The hack resulted in Fiat Chrysler recalling 1.4 million vehicles to install patches to its UConnect dashboards.
There are also ethical reasons that need to be considered with machine-learning technology, particularly when it comes to driverless vehicles. These machines will soon have to make moral decisions and ethical judgement when it comes to the safety of passengers and pedestrians. Settling on a universal moral code for the vehicles will be difficult when a survey of over 2.3 million people finds that many of their moral principles vary by country.
Motion Marketing commit to learning and understanding the rising technologies of their industries in order for us to help identify the most effective sales and marketing opportunities for our customers. Visit our industries page to view our specialist areas.
