With all the hype around ChatGPT and other “generative AI” engines, as they are called, you might think that artificial intelligence is something new.
“It may seem like AI came out of nowhere, but it dates back to the ‘60s,” explained McLeod Software data scientist Sujit Kunwor at the company's AI summit earlier this year.
Today, however, the amount of data and processing power available have created what he called a “third wave” of AI.
The first wave of AI was rule-based. In the past couple of decades, we’ve seen the use of “big data” and machine learning bring us what Kunwor called the second wave of AI.
Today, he said, we’re in the third wave: generative AI. And it's unlocked a new level of what this technology can do for trucking fleets.
What is Generative AI?
Generative AI is different because it can not only learn from large amounts of data fed to it, but it then can use that to generate, or create, such as:
Images (stock photos, image editing)
Text (chatbots, search, articles, emails, term papers, summarizing legal documents, etc.)
Sound
Video (Short-form videos for TikTok, training/learning, AI avatars, shortening videos for social media)
Computer code
ChatGPT is probably the most well-known example of generative AI. It and similar technology are what has caused such a flurry of interest around AI in the past year or two.
ChatGPT is an example of a “large language model.” LLMs are very large deep learning models that are pre-trained on vast amounts of data and are capable of understanding and generating human language.
In ChatGPT’s case, it has been trained on a huge chunk of information available on the Internet, and it lets users enter prompts to receive humanlike images, text or videos that are created by AI.
25 Things AI Can do for a Trucking Fleet
What makes artificial intelligence such a powerful tool for trucking companies is its ability to be applied to virtually any kind of work you can imagine. This is just a partial list of the ways AI can take fleet operations to the next level:
Hands-free voice assistant and communications tools for drivers
Predictive maintenance
Better maintenance scheduling
Better route optimization
Improved mapping/navigation
Improved dispatch/assigning drivers and trucks to routes
Real-time management of ZEV range and charging
Real-time alerts on how weather may affect specific drivers and loads
Smart dashcams
Detection of drowsy or distracted drivers
Predicting which drivers are likely to have at-fault crashes
Machine vision technology – powered by AI – can be used to streamline driver ID and security processes, such as automated yard access.
Load-matching
Automated rate quoting
Detecting double-brokering fraud
Freight volume predictions
Freight-rate predictions
ETA estimates
Digitized paperwork using optical character recognition
Managing incoming e-mails
Accounting reconciliation
Advanced data analytics for decision-making
AI Uniquely Tailored For Your Trucking Business
In each of these cases, AI is able to gather information, analyze it, and make informed, history-based decisions based on it far faster than humans can. Moreover, once AI is plugged in to your operations, it becomes part of your team.
In other words, AI is not a “one size fits all” kind of technology. Over time, as it gathers data and observes how you and your team operate, notes the repetitive tasks you perform and the decisions you make, it will incorporate all of that knowledge into its own actions, activities and decisions.
Over time, your AI engine will become uniquely tailored to your business – and your business alone. Its actions will complement everything you do.
AI technology is only now beginning to make its presence felt in real-world fleet operations. But it has tremendous potential to take the fast-moving, dynamic world of fleet operations to levels of efficiency and productivity that would have been deemed impossible just a few years ago.
