Name: Insights: Sanofi, Accenture CEOs on How Humans and Machines Can Maximize Productivity
Uploaded: 2020-03-11
Duration: 3 min 31 s
Description: A.I., automation, and analytics are transforming the business landscape, enhancing products and services, and enabling new forms of competition. (November 2019)

[MUSIC PLAYING] SPEAKER 1: Everyone attending the conference, probably everybody watching is thinking about AI, how it's being implemented at your company or what it might mean for your career. I just was thinking about a couple of stats, and here's a stat from Accenture. By 2035, you projected that AI will add $14 trillion in revenue globally. There's another stat just the other day, Bank of America projected that AI and automation could make 800 million jobs disappear, so we have a lot of hope and fear around this topic. And as we're looking at that, I was hoping, Julie, you could start us out by just pulling back from the hype and the stats and giving us a look from your work with clients around the world. Where are we on the maturity curve? The adoption? Where are we in the progress of bringing AI and automation into what companies are really doing? SPEAKER 2: Well, you might say there's a maturity of the fear factor. How about that? Meaning so we just-- SPEAKER 1: Did you just coin that? SPEAKER 2: I just did. SPEAKER 1: All right. SPEAKER 2: In listening to you about that, so I think what you've seen over the last five years has been a lot of discussion about it. And every year is a little more maturity, right? So we're not spending a lot of time as Accenture going around and educating what is artificial intelligence, right? The question today is all about how do you scale the impact, and at the same time, we just did-- and I will give you a stat that said we just put out a new study where 75% of C-suite executives believe that their survival, survival depends on the ability to scale. So we are, I think, at an inflection point on everyone understands it has upsides. It's critical to the business. There are things we have to manage, but fundamentally, we have to move into an era of being able to scale the impact while managing and bringing our people along the journey. SPEAKER 3: 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 is 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 of what we used to find new medicines. At the same time, same lab, I was walking just a little bit further along to our personalized health care group, and I met a young scientist. And I was drawn to the display on her computer, and it looked like some sort of children's painting. And I said, what is that? She said, it's a single immune cell in a person with an autoimmune disease. And I'm looking at a single immune cell, because I was AI enabled to find that one cell that needs a personalized medicine to do something about it. And if we can create a medicine for one person, wouldn't that be amazing? 

Insights: Sanofi, Accenture CEOs on How Humans and Machines Can Maximize Productivity

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

How Humans and Machines Can Maximize Productivity

A.I., automation, and analytics are transforming the business landscape, enhancing products and services, and enabling new forms of competition. (November 2019)

everyone attending the conference. Probably everybody watching eyes, thinking about a guy, how it's being implemented at your company or what it might mean for your career. Um e just you know, I was thinking about a couple of stats. Here's a step from Accenture. By 2035 u projected that I I will add $14 trillion in revenue globally. There's another stat. Just the other day, Bank of America projected that Aye, aye. And automation could make 800 million jobs disappear. So we have a lot of hope and fear around this topic, and we're looking at that. I was hoping Julie, you could start out by just giving us pulling back from the hype and the stats and giving us a look from your work with clients around the world. Where are we on the maturity curve? The adoption, you know, where are we in the progress of bringing a I and automation into what companies were really doing? Well, you might say there's a maturity of the fear factor about that. Meaning I just did. All right, I'm listening to you about that. So, uh, you know, I think what you've seen over the last five years has been, you know, a lot of discussion about it. And every year there's a little more maturity, right, so we're not spending a lot of time. Is Accenture going around and educating? What is artificial intelligence? The the question today is all about How do you scale the impact? And at the same time, we just did not get We'll give you a stat. That said, we just put out a new study. We're 75% of C Suite Executives believe that their survival survival depends on the ability to scale that we are, I think, at an inflection point on everyone understands it has upside. It's, you know, it's it's critical to the business. There are things we have to manage, but fundamentally, we have to move into an era of being able to scale the impact while managing and bringing our people along the journey. 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, 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 at the same time. Same lab. I was walking just a little bit further along to our personalized health care group, and I met a young scientist and I was drawn to the display on her on her computer and it looked like some sort of Children's paintings. And I said, What is that? And she said, It's a single immune cell in a person with an auto immune disease, and I'm looking at a single immune cell because I was a I enabled to find that one cell that needs a personalized medicine to do something about it, and if we can create a medicine for one person, would not be amazing.