Can the notion of muscle memory be extended into software and devices? That’s what Motorola says it wants to do so that the software becomes an extension to the person making the decision according to Dr. Mahesh Saptharishi, Chief Technology Officer at Motorola Solutions.

The US company provides solutions for critical communications. It has technology platforms in communications, command centre software, services and video security and analytics.

At Critical Communications World in Kuala Lumpur Saptharishi used the example of soldiers and first responders who are able to react to situations automatically giving them the freedom for more strategic decision making and analysis.

In the same way, he said Motorola’s software and devices will work in the same way.

“[The person making the decision] is able to get the right information, present it in a way that person can digest it, it is personalised to that individual in the right ways.  

“At the end of the day that software adapts to the needs of that person, the types of events seen by that person and the historical data around which effective decision and ineffective decisions can be separated automatically in the context of AI-driven software solutions.”

He said that is the extension of what Motorola Solutions is after.

Preventing bad outcomes

Saptharishi said the bottom line is Motorola Solutions wants to make sure its customers are in the best position to prevent “the bad outcome”.

He said, “In order to do so [customers] want something that would give them an early warning that an event might be happening, they want the ability to coordinate and orchestrate an effective response to an event that is in progress.

“They want to be able to accurately investigate, gather the right evidence.

“At the end of it all, they want to learn from what just happened so that they could either collaborate their early warning solution better, fine-tune their response so they are faster the next time around and hopefully figure out ways to prevent that event happening in the first place.”

In the future, Saptharishi said the company hopes to shorten the amount of time when making decisions and accuracy increases.

“We want to be able over the next few years, take the baseline that we have today and set a chart and improvement where that time very significantly reduces and the accuracy of the decisions that are made by the users of our system also measurably increases.”

He said you can talk about AI all day but what matters to customers is the metrics and measures.

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