Name: Insights: How Humans And Machines Can Work Together To Maximize Productivity
Uploaded: 2020-02-25
Duration: 2 min 20 s
Description: A.I., automation, and analytics are transforming the business landscape. (November 2019)

[MUSIC PLAYING] You see about 70% of companies are getting into the basics of AI on some level, and maybe 15% have some of this scale. How do you make that dividing line? And what does it mean that they're getting into the basics of the technology? Well, I'd say there's an individual who's in charge of data analytics, artificial intelligence. There is a lot of pilots typically in experiments that aren't moving the needle, but they're really trying to do. So you tend to still be mostly IT-led in terms of most companies, so not really yet really led by the business side and a lot of awareness. That's where many, many companies are pivoting to now, OK, we get it. So that's the proof phase. And then you've got another 15% of companies who are in what we would call sort of pockets of greatness, right? So the comms industry, particularly in the US, for example, has now really embraced artificial intelligence in the call center area. That's the second biggest cost center after the network. And we've been working with companies where you now have 70% of all calls are digital, and what used to be 20 minutes with a human is now three to four minutes. So reducing cost and significantly raising customer engagement, and also freeing up the people in the call center to do a lot more interesting work. I was in a lab, one of our labs in Boston, and you walk into one of our traditional labs. And of course, as you'd expect, there was a lot of people in white coats with safety goggles on. Right. It's good practice. You turn a corner, and there's a robot, and the robot is processing over 200 different proteins against tissue types 24 hours a day to try and work out what could happen. And taking out, not replacing people, don't get me wrong, but replacing the capacity of the people that we had. Meaning, we can do 20x, 50x what we used to to find new medicines. [CHIMES]

Insights: How Humans And Machines Can Work Together To Maximize Productivity

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A.I., automation, and analytics are transforming business. 

Humans And Machines Can Work Together

A.I., automation, and analytics are transforming the business landscape. (November 2019)

do you see? About 70% of companies are getting into the basics of a on some level on maybe 15% have some of the scale. What? How do you make that dividing on? What does it mean that they're getting into the basics of the technology? Well, I'd say, you know, there's an individual who's in charge of Data Analytics, artificial intelligence. There's a lot of pilots typically, and experiments that haven't aren't moving the needle, but But there's actually they're really trying to be, so you tend to still be mostly I t lead in terms of it. Most companies not really yet really led by the business side on a lot of awareness. That's where many, many companies are pivoting to will now. Okay, we get it, we call it That's the proof phase on. Then you've got another 15% of companies who are what we would call sort of pockets of greatness, right? So the coms industry, particularly in the US, for example, has now really embraced artificial intelligence in the call center area. That's the second biggest cost center after the network, and we've been working with companies where you now have 70% of all calls or digital. What used to be 20 minutes with a human is now 3 to 4 minutes, reducing costs and significantly raising customer engagement, and also freeing up the people in the call center to do a lot more interesting work. I was in a lab, one of our labs in Boston, and you walk into one about traditional labs on. Of course, as you'd expect, there is a lot of people in white coats with safety goggles on, right. It's good practice. Um, you turn a corner on dhe. There's a robot on. The robot is processing over 200 different proteins against tissue types 24 hours a day to try and work out what could happen and taking out. Not not replacing people don't get me wrong, but replacing the capacity of the people that we had meeting weaken do 20 x 50 x What we used to find you