01. Matt Cadieux, Red Bull Racing, Visits #theCUBE!. (00:20)
02. Give Us The Update On What's Been Going On The Last Two Years. (00:40)
03. What Are Some Of The New Technologies That Have Changed Things. (01:16)
04. Is Cloud Becoming A More Important Part Of What You Do. (02:54)
05. What Can You Tell Us About Your Stack. (03:47)
06. Do You Keep All Of Your Data. (05:16)
07. Can You Speak To The Speed Of Innovation. (05:58)
08. Tell Us More About Formula One Cars. (06:54)
09. How Do You Look At Blurring The Lines Between The Person And The Machine. (07:56)
10. What Top Speeds Are We Talking On The Cars. (10:48)
11. What Do You Make Of The Whole Automomous Driving Thing. (11:17)
12. What Does It Mean When You Call Your Vehicle An Evolving Prototype. (12:54)
13. What Is The Strategy At RedBull. (13:59)
14. Are There Big Rule Changes. (16:28)
15. What Are Your Thoughts On Edge. (17:27)
Track List created with http://www.vinjavideo.com.
--- ---
The blurred lines between man, machine and data science in racing | #IBMEdge
by Nelson Williams | Sep 19, 2016
The digital revolution has given business powerful tools to draw the most value out of data. However, business is not alone when it comes to benefiting from data science. Companies and industries outside the usual scope of the enterprise world also make use of data. Of note is the racing community, where fractions of a second matter and any advantage could be crucial.
To shed some light on technology in the racing world, Dave Vellante (@dvellante) and Stu Miniman (@stu), cohosts of theCUBE, from the SiliconANGLE Media team, visited the IBM Edge 2016 conference in Las Vegas. There, they met with Matt Cadieux, CIO at Red Bull Racing.
Collecting data
The conversation started with a look at what sort of data the Red Bull team collects. Cadieux explained that the scale of data and its capability to process it has grown exponentially in the past few years. The team has spent a huge amount of effort to develop systems that can collect and secure all that information.
Cadieux mentioned how they collect video, sound, telemetry and other data channels. The amount of input and the richness of the data is huge. To process that data, Red Bull runs a private cloud because it needs that infrastructure on-premises. The team is, however, bursting out to a public cloud, depending on what problems they’re trying to solve.
Blurring the lines
“We have a huge demand put on us to find the right solution,” Cadieux said. The team finds that solution by talking to leaders in the industry. The key in racing is that the driver must be in control of the car. Because of this, the technology, the car and the driver must be strong. Cadieux described how they use data science to provide the driver with decision support.
The topic then turned toward autonomous cars. Cadieux himself felt that while he’d rather be driving, a lot of commuters could reclaim wasted time by giving control over to their vehicles. In his opinion, the transition will be challenging, but the amount of money put in by major automakers, and the advances they’ve seen, means autonomous cars will happen.
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
IBM Edge 2016 | Las Vegas. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Register For IBM Edge 2016 | Las Vegas
Please fill out the information below. You will recieve an email with a verification link confirming your registration. Click the link to automatically sign into the site.
You’re almost there!
We just sent you a verification email. Please click the verification button in the email. Once your email address is verified, you will have full access to all event content for IBM Edge 2016 | Las Vegas.
I want my badge and interests to be visible to all attendees.
Checking this box will display your presense on the attendees list, view your profile and allow other attendees to contact you via 1-1 chat. Read the Privacy Policy. At any time, you can choose to disable this preference.
Select your Interests!
add
Upload your photo
Uploading..
OR
Connect via Twitter
Connect via Linkedin
EDIT PASSWORD
Share
Forgot Password
Almost there!
We just sent you a verification email. Please verify your account to gain access to
IBM Edge 2016 | Las Vegas. If you don’t think you received an email check your
spam folder.
In order to sign in, enter the email address you used to registered for the event. Once completed, you will receive an email with a verification link. Open this link to automatically sign into the site.
Sign in to gain access to IBM Edge 2016 | Las Vegas
Please sign in with LinkedIn to continue to IBM Edge 2016 | Las Vegas. Signing in with LinkedIn ensures a professional environment.
Are you sure you want to remove access rights for this user?
Details
Manage Access
email address
Community Invitation
Matt Cadieux, Red Bull Racing - #IBMEdge - #theCUBE
01. Matt Cadieux, Red Bull Racing, Visits #theCUBE!. (00:20)
02. Give Us The Update On What's Been Going On The Last Two Years. (00:40)
03. What Are Some Of The New Technologies That Have Changed Things. (01:16)
04. Is Cloud Becoming A More Important Part Of What You Do. (02:54)
05. What Can You Tell Us About Your Stack. (03:47)
06. Do You Keep All Of Your Data. (05:16)
07. Can You Speak To The Speed Of Innovation. (05:58)
08. Tell Us More About Formula One Cars. (06:54)
09. How Do You Look At Blurring The Lines Between The Person And The Machine. (07:56)
10. What Top Speeds Are We Talking On The Cars. (10:48)
11. What Do You Make Of The Whole Automomous Driving Thing. (11:17)
12. What Does It Mean When You Call Your Vehicle An Evolving Prototype. (12:54)
13. What Is The Strategy At RedBull. (13:59)
14. Are There Big Rule Changes. (16:28)
15. What Are Your Thoughts On Edge. (17:27)
Track List created with http://www.vinjavideo.com.
--- ---
The blurred lines between man, machine and data science in racing | #IBMEdge
by Nelson Williams | Sep 19, 2016
The digital revolution has given business powerful tools to draw the most value out of data. However, business is not alone when it comes to benefiting from data science. Companies and industries outside the usual scope of the enterprise world also make use of data. Of note is the racing community, where fractions of a second matter and any advantage could be crucial.
To shed some light on technology in the racing world, Dave Vellante (@dvellante) and Stu Miniman (@stu), cohosts of theCUBE, from the SiliconANGLE Media team, visited the IBM Edge 2016 conference in Las Vegas. There, they met with Matt Cadieux, CIO at Red Bull Racing.
Collecting data
The conversation started with a look at what sort of data the Red Bull team collects. Cadieux explained that the scale of data and its capability to process it has grown exponentially in the past few years. The team has spent a huge amount of effort to develop systems that can collect and secure all that information.
Cadieux mentioned how they collect video, sound, telemetry and other data channels. The amount of input and the richness of the data is huge. To process that data, Red Bull runs a private cloud because it needs that infrastructure on-premises. The team is, however, bursting out to a public cloud, depending on what problems they’re trying to solve.
Blurring the lines
“We have a huge demand put on us to find the right solution,” Cadieux said. The team finds that solution by talking to leaders in the industry. The key in racing is that the driver must be in control of the car. Because of this, the technology, the car and the driver must be strong. Cadieux described how they use data science to provide the driver with decision support.
The topic then turned toward autonomous cars. Cadieux himself felt that while he’d rather be driving, a lot of commuters could reclaim wasted time by giving control over to their vehicles. In his opinion, the transition will be challenging, but the amount of money put in by major automakers, and the advances they’ve seen, means autonomous cars will happen.
