Follow Mark on LinkedIn Follow @marknca on Twitter Follow marknca on YouTube
marknca

Mornings With Mark
no. // 0 0 0 8

🧠 A.I. In Context

Subscribe to the podcast.

Watch the episode here

Join the discussion on LinkedIn

Tweet about this episode

Full machine generated transcript follows

Good morning, everybody. Hope you're having a fantastic starts here. I wanted to talk to you about artificial intelligence technically complicated subject starts to be sort of this sort of explain when it first comes out specifics to broader and broader audience has the higher and higher level. So by the time it's up to get a misunderstanding of what this technology is capable of us.

All the time of scientific research is extremely frustrating. It's really hard to make a jump to conclusions or a machinist in the technology field with a I expect a couple I can put a little bit of context around is always will dive into the security and privacy aspects because that's what the show is all about a certain understanding technology through security and privacy app store our clothing company based on potential designs.

Clothing Co prints for t-shirts and see if those designs are too similar listing products that they self and it turns out one of their top selling products has actually been generated examples of machine learning techniques used one of the most prominent sort of the central thesis of this article was around the role of a buyer in a fashion industry and try to on cell or depending on where they are the Chainsaw for pop collar.

Colors are in Sabrina. We're going to order these two shirts because we think that's going to be the new hot items. I know I have zero fashion sense. I just figured the goofiest Stitch fix using is modeling. In order to predict demand is the significance of where these techniques are extremely useful because there's a ton of the volume is far as you know, blue shirts versus green shirts shorter shirts, like there's a ton of volume on the system can use Data to evaluate a call as well as algorithm example now news sources, and these are rooms are based on some Machinery.

Bush's beans a popular brand in the US. Hillary Clinton and contact another example of somebody had actually been pushing status update the direct transcription of pushing out a copy of the contract because I was basically dumb even though we're here using highly advanced intelligence techniques. There's still a lot to be an algorithm using a human.

That's a receipt but you can't just rely on to actually have an analyst over those results as well. Do the final pass to provide and apply their judgment on that massage in triage data for 1 to punch is really where I'm at the point where you can have a eyes doing their own thing on their own with consistent results.

And when we do as we saw on last week from ACDC, very very focused have a audio conversation to book a restaurants Asheville holiday hours of the book a hair appointment. Solution that gives you a little more context around the point of John Connor and his mother right it or not independent like with 6 digits as an example another interesting one Professor Everhart technique all particle swarm optimization that the humans and never thought about because it was a constrained space.

The best routing timing all that kind of stuff. Replacing jobs at this point right now A eyes and augmentation technology. I think that's a wonderful place for it to be we can see some significant advantages. We have a lot of Runway when it comes to solving those kind of problems.

So topic for today at what do you think? How are you experimenting with machine learning with other branches of hope you sign up for a fantastic day. Look forward to talking to you online. Good morning, everybody. Hope you're having a fantastic starts here. I wanted to talk to you about artificial intelligence technically complicated subject starts to be sort of this sort of explain when it first comes out specifics to broader and broader audience has the higher and higher level.

So by the time it's up to get a misunderstanding of what this technology is capable of us. All the time of scientific research is extremely frustrating. It's really hard to make a jump to conclusions or a machinist in the technology field with a I expect a couple I can put a little bit of context around is always will dive into the security and privacy aspects because that's what the show is all about a certain understanding technology through security and privacy app store our clothing company based on potential designs.

Clothing Co prints for t-shirts and see if those designs are too similar listing products that they self and it turns out one of their top selling products has actually been generated examples of machine learning techniques used one of the most prominent sort of the central thesis of this article was around the role of a buyer in a fashion industry and try to on cell or depending on where they are the Chainsaw for pop collar.

Colors are in Sabrina. We're going to order these two shirts because we think that's going to be the new hot items. I know I have zero fashion sense. I just figured the goofiest Stitch fix using is modeling. In order to predict demand is the significance of where these techniques are extremely useful because there's a ton of the volume is far as you know, blue shirts versus green shirts shorter shirts, like there's a ton of volume on the system can use Data to evaluate a call as well as algorithm example now news sources, and these are rooms are based on some Machinery.

Bush's beans a popular brand in the US. Hillary Clinton and contact another example of somebody had actually been pushing status update the direct transcription of pushing out a copy of the contract because I was basically dumb even though we're here using highly advanced intelligence techniques. There's still a lot to be an algorithm using a human.

That's a receipt but you can't just rely on to actually have an analyst over those results as well. Do the final pass to provide and apply their judgment on that massage in triage data for 1 to punch is really where I'm at the point where you can have a eyes doing their own thing on their own with consistent results.

And when we do as we saw on last week from ACDC, very very focused have a audio conversation to book a restaurants Asheville holiday hours of the book a hair appointment. Solution that gives you a little more context around the point of John Connor and his mother right it or not independent like with 6 digits as an example another interesting one Professor Everhart technique all particle swarm optimization that the humans and never thought about because it was a constrained space.

The best routing timing all that kind of stuff. Replacing jobs at this point right now A eyes and augmentation technology. I think that's a wonderful place for it to be we can see some significant advantages. We have a lot of Runway when it comes to solving those kind of problems.

So topic for today at what do you think? How are you experimenting with machine learning with other branches of hope you sign up for a fantastic day. Look forward to talking to you online.