2 Burst results for "Seth Clark"
At The Races With Steve Byk
"seth clark" Discussed on At The Races With Steve Byk
"She's twenty. She's introduce producer over the years to you know. I don't think she's trying. A lot of black taught vote. Looked like they ran out a little bit of money i. It's funny early on. She had a long career herself on the racetrack. Didn't to go into service until two thousand seven and they better three straight times to greatness and they got two nice winners including thirteen time winner. Great ask that and then for the love of lil and then there were a couple of a couple of unraced uncle abbey's an unraced courageous cat then was and slipped and now suddenly has got a big orders a half a million dollar earner and a four time winner in toby's heart. Mazing never know that some people you know what some people. After after a five year period with three unraced horses and a slip and and An uncovered peop- some people would have given up and instead You end up with with this with this nice horse and Was what for a forty five thousand dollars. Two year old in training sale purchase at bs march last year. Yeah Alice derived picked up and Terrier told me dialysis got some horses. You wanna go and have a look at and so. Alice showed me the horses. Cool terry back and i said if you got a boy any of them by the jack newton if you boyhood also in a with you. So that's how come bet. Belinda up we end up buying her and military were partners and then as she got rolling a little bit Tomlin board into a. He's still jack and so he's gotta brian skill stake in the game to You know what she stallion producing north strikes like this and and you no. I had to get some guided strikes on it. Which i think she can do. I might be wrong. Maybe she's like grinding screener yard. But i think can get them mall and beyond so long detroit debt. I love at toby's heart and And in fact. I should mention gary barber. Speaking gary gary The toba owner of the year Saturday at The tow awards. And that was ellendale. I would've loved to have gone but but he his money app. Knee loves the sport and Great god well and You know not that. not that. Seth clark doesn't You know wasn't voted for seth Several years in a row I you know gary barber. The last couple of years could very easily have been As worthy and eclipse award certainly was worthy of being a finalist and This this was a very nice Nod in his direction Third winner of the kentucky downs season was honor hop For the for the hills and This honor code second win For her she's very honest. Sort of one pice die. I'm gonna she loved the she loved that she loved the kentucky down in fact she Leading up to the rice show ronna the who severely and didn't run to the good and i went back to the bond and she could see the track and she got a stood up in store. I'm thinking son hilmi gonna deal with this. So let's give her a bath. And i took her out the back kentucky dan a drop ahead and pick graph and she just think compressed in then row that right before. I put the bottle on the paddock. If there's a theory that you bet horses eat grass before they run a blue door. She writes for there on the half for rent. That's funny but she calmed down and she was good to saddle and Because you can be a little bit of a handful set Showed up that night because she run very comfortably to well. That was that was the mile five sixteenth allowance. Yup all the way around and one wins by a comfortable margin eighty-three buyer as well for her and Brian the there's been there's been a wrath of of winter's here The last two three weeks and that includes back at saratoga that that first time starter. Classic causeway how did he come out of the debut win yet. Good come out of his rice very likely and You know he being there. Two good friends of mine from california bred him and He was just a pleasant surprise from winning. Come in you know. He's he was always. A horse is love to try and happy be around the buying just just lovely host to work with and every time you were just kept getting better and So he's one of the last joint coz wise. I think there's only one called out this so it's nice to see come with another round because i think this was potentially is very very nice. Awesome good stack hmeydan allowance at saratoga that diana yvonne united it took it took it to him. Guyton wire and foods like went further. He one boy so is true with that. I think he ran like a naughty boy. Saw who ran him in the british security over there at kingland and Hopefully shell that's what he wants to do. But i've always felt that he's gonna be at his best to turn so i'd be proved me right because he could be a potentially in other to cup juvenile. Look at you The tremendous In addition to classic causeway you mentioned that static fire and that was the other smashing no winter. That's the stor Philly yeah now. I've definitely then auction. Rices won one of them auction maiden rises the ideal of forces that haven't been purchased x. Amount of dollars but she done it the right way. She really did she. She broke shop and she ran faster. Lynch finish strong so You know again whenever they gripe fits mines i map from me that impressively. They usually got some callum. Well you know one thing. We've we've had those conversations regularly That where you introduced the two year olds i hope save the notes and and actually i put it out on I put it out for everybody. So that they've got him listed and and so many of the ones that you've talked about have certainly come out and and and run big and clearly you've got a nice fall to look forward to. I gotta ask you one more before. Rusty arnold comes in and That's qatari coming out of the troy characterised doing super he's gonna go up to the The monster dash on the twenty fifth. And again he was to run. Well i think he's a horse. It's just that you know. I would just absolutely love for advice on the graph that dilma so Again he was to run well at parks which i never say shooting because he's trying very very well and do you do the choi temps to be strong. Where i jockey comes back to win the million and So he was to run well at pox. He's another candidate through the greatest kept so You know exciting full to look forward to. They certainly can hold them all together and they all seem like they're doing well. And.
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
ML Ops in Practice: Interview with Seth Clark, Modzy
"Hello and welcome to the AI today. Podcast I'm your host Kathleen Mulch and I'm your host Ronald Schmeltzer our guest today South Clark. Who is the head of Product at Monte? Hi Seth thank you so much for joining us on today. I'm really excited to be here. Ron Kathleen looking forward to a great chat. Yeah we're really excited to have you too. So Seth we'd like to start by having you introduce yourself to our listeners and tell them a little bit about your background and some exciting things that are going on at Monte absolutely show I come to through a somewhat meandering pass run and actually share an almond butter both engineers over MIT. And I was like to say I learned the arts of withstanding torture really well for my time there which is a streaming while to the course of my career. I don't know if you had the same vibe when you were going to put you through the ringer but you know if that's good. Keep everybody on their. That's right so I actually which meant now as I studied ocean engineering there and then I ended up actually getting my master's degree in yacht design. Wow so you might wonder. How does someone with kind of engineering background? The time is in a lot of computational fluid dynamics and up in this space long circuitous path certainly but discover the power of using computers to do math transition and to some modeling and simulation work over the years and found this kinda weird niche in between the world of Software Development Data Science. The wasn't really call that quite at the time that has emerged into enterprise. Ai So from hard engineering background. I kind of found my way into this software space which has been really fun one of the things. I really enjoy it when you're building a physical system design and plan things years in advance before you see something come to life and with software with artificial intelligence and machine learning models you can see something. Come to life in a matter of hours. Which is a really exciting place to be if you're curious. Adhd kind of person. Like I am so through those transitions of the course of my career. I've found myself in a really fun position where I serve as the head of product over Mazi wishes in Ai Platform that we've been developing to really help. Large organizations get a better handle on how they can scale artificial intelligence across some really complicated environments. Some of the things we're looking to do include creating a library of machine learning algorithms. Ai Models you can call them do all kinds of crazy stuff analyzing satellite imagery crossing audiotext taxed and translating audio files from one language to another doing text translation across no millions and millions of the gigabytes of data whole range of different capabilities through this marketplace. Our customers can get access to in also this machine learning operations or MLS pipeline capability meant to help our customers really get an opportunity to have a better handle on how they're implementing artificial intelligence scaling. It securing it in governing it across the enterprise. So it's a pretty fun time to being A and we're having a good time of it over at Monte. Yeah definitely yeah I mean. This is the resurgence of AI. And not my undergraduate adviser was Rodney Brooks. Who really made his name through the second wave of AI? That sort of the robotics wave and the systems wave of late seventies or expert systems wave and early eighties. And of course I kind of came and went but now we're hearing the third wave the summer then. People have discovered rediscovered neural nets and deep learning and of course through the power of big data. And some pretty good computing infrastructure. Where making this stuff work. Where are we couldn't and you know one of those big changes that we've profiled here at cognreznick. As part of our research we track about six thousand minutes the market we'd do about forty or fifty reports year and one of our more. Recent reports was on. These machine learning OPS OPS operations management which is dealing with the fact that when you've built a model that's all nice but things are complicated in the real world right models change and data's changed and we have to manage this model and some people should use the modern. Some people shouldn't use the model and yet the discover the Mommy got security and you got to do all these things track into track changes over time especially depending on the model and so this is the space is fairly new. Even though is like sixty seventy years old you know. It hasn't really been part of the enterprise vernacular until like the last few years so this whole area of Milan is actually really very nascent. So from your perspective. What do you see as the main aspects and components of you know? I think it's the transition from theoretical to applied is really where we discover the need for machine learning operations Raimondo APPs. The theory has been going strong. Ever since the emergence of truly deep neural network architectures back in two thousand and six one. We saw kind of the first broadscale application of Alex but broadly speaking the theoretical side of things. He's been doing a lot of cool stuff as soon as you try. And take all this theoretical work and apply it into a real production system all of a sudden you realize all the gaps that exist when it comes to taking a model that works someone laptop and worked on Lab. Data performed inferences at a really low speed. And now you're trying to pump your entire enterprise's data pipeline through these models sudden. There's a whole lot more that you have to do to get this working right so I think is kind of the the summary of needs the big enterprises and big organizations sort of discovered collectively that need to be met for A. I'd actually return some sort of benefit. I mean investment. That's made into it so that it includes making things more repeatable. Kind of breaking out of his mindset of Monolithic applications adding new security protocols and parameters. You know managing hardware costs because those can be really high when you start doing this at scale so yeah I really see being kind of around application of. Ai