There are some people who still believe artificial intelligence (AI) is no more than sci-fi wizardry. And there are others who tend to view it with blind optimism, as a kind of be-all, end-all for industries of all types. But somewhere in between, AI has taken its true place as just one piece of a much broader technology transformation.
Both AI and machine learning – a field of computer science that enables computers to think intelligently and even “learn” from historical data without specifically being programmed – eventually will make their way to utility fleets, perhaps through relationships with other industries. David Groarke, managing director of Indigo Advisory Group (www.indigoadvisorygroup.com), a new-energy/utilities consulting firm, ticked off some possibilities. These might involve, for example, electric fleet vehicles automatically being charged during off-peak times. Or, they might include the use of telematics to better predict and adjust driver behaviors. Examples abound in other industries, too, such as supply chain and logistics.
As a result, Groarke and others have said, now is the time for utility fleet professionals to take notes, ask questions, be willing to share data for more accurate and strategic insights – and keep pushing the envelope by exploring what-if applications.
“More information is always better,” said Paul Millington, vice president of technology products for Element Fleet Management (www.elementfleet.com). “As experts who are dedicated to fleet, we make it our job to anticipate what insights our customers would be looking for. I’d say keep asking the questions of your fleet management company and others on whether your objectives could be achieved with machine learning.”