psdesign1 - Fotolia

Voice and video good places to look for AI and M2M revenues

The channel has heard plenty of predictions for AI and M2M and the examples of where those techs could deliver revenues are starting to emerge

There has been a lot of talk about AI and machine to machine learning but the potential channel opportunities are not always so easy for the gurus to espouse.

But as technology develops the examples of where the channel could make some revenue out of AI and M2M continue to emerge and in the voice and data market and other places like broadcasting that are generating lots of data should create plenty of opportunities.

With companies keeping recordings of landline and mobile calls for compliance reasons the arrival of analytics and big data has given many the cause to question whether or not that data could be useful to the business, beyond just preventing them from falling foul of the regulators.

"They were holding all this data, masses of stuff, and all they were holding it for was so that when the regulator came they could prove they had not done anything wrong," said Steve Haworth CEO at TeleWare.

"They were starting to look at could they get any value out of but a few years ago very few were doing that and the technology was crippilingly expensive," he recalls "When we started to look at taking things forward two years ago we went to a Microsoft partner event and saw its strategy with the cloud."

The vendor talked about AI and M2M and that appealed to TeleWare because those technologies were being applied to speech to text.

"Most of the advances in speech analytics have happened in the last two years that have driven it to a useable technology. We could see that if we were capturing data that can be turned into useful information from mobile and off network communications that would [be popular with customers]," added Haworth.

The value at the moment is coming from compliance, making sure all the information is kept and the second is helping improve customer experience.

But Haworth also expects the technology will help automate tasks and processes based on learning from the data and capturing information that could be thrown at the AI system to help it learn. That will eventually lead to chatbots that know how to deal more effectively with customers.

"We think it is probably a three to five year cycle before people are really driving that optimisation to a level, but that could come a lot quicker," he added.

As well as voice the other example of a sector that is using AI to add value and meet compliance regulations is the video world.

Speaking at a recent NetApp roundtable Toby Taylor, head of technology at Vice Media, said that it was using tools that it had started to develop in-house to make sure it could search through reams of video for specific people and to check that actions like faces being blurred before broadcast had been taken.

"It has removed the requirement to be reactive, we can now be proactive, and that has completely changed the way my team and teams beyond us are able to think. They are no longer having necessarily the status quo they are considering what the status quo is going to be," he said.

He said that keeping data and making sure the business was compliance was one element but storing the information could have other uses.

 

"As long as we are aware of the fact that we could use it elsewhere in the business from the get go, is it going to be useful to other compliance teams, for anything then that isn't so bad. It's making that decision early on," he added.

 

This was last published in August 2017

Read more on Enterprise Storage Management

Start the conversation

Send me notifications when other members comment.

By submitting you agree to receive email from TechTarget and its partners. If you reside outside of the United States, you consent to having your personal data transferred to and processed in the United States. Privacy

Please create a username to comment.

-ADS BY GOOGLE

ComputerWeekly.com

SearchITChannel

Close