Podcasts about Data science

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Best podcasts about Data science

Show all podcasts related to data science

Latest podcast episodes about Data science

The Artists of Data Science
Data Science Happy Hour 82 | 20MAY2022

The Artists of Data Science

Play Episode Listen Later May 22, 2022 87:05


Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=eYfHD1CkvRI Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Talk Python To Me - Python conversations for passionate developers
#366: Optimizing PostgreSQL DB Queries with pgMustard

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later May 20, 2022 74:06


Does your app have a database? Does that database play an important role in how the app operations and users perceive its quality? Most of you probably said yes to the first, and definitely to the second. But what if your DB isn't doing as well as it should? How would you know? And once you know, what do you do about it? On this episode, we're joined by Michael Christofides, co-creator of pgMustard, to discuss and explore the EXPLAIN command for Postgres and other databases as well as all the recommendations you might dig into as a result of understanding exactly what's happening with you queries. Links from the show Michael Christofides: @michristofides Datagrip: jetbrains.com pgMustard: pgmustard.com pgMustard example 1: app.pgmustard.com pgMustard example 2: app.pgmustard.com pgMustard example 3: app.pgmustard.com Arctype: arctype.com Postico: eggerapps.at/postico Laetitia Avrot Secrets of 'psql'— Video: youtube.com Beekeeper Studio: beekeeperstudio.io DBeaver: dbeaver.io SQLite Browser: sqlitebrowser.org Michael's new Up and Running with Git course: talkpython.fm/git Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Twitter: @talkpython Follow Michael on Twitter: @mkennedy Sponsors Sentry Error Monitoring, Code TALKPYTHON Talk Python Training AssemblyAI

The Artists of Data Science
The Art of Statistics | David Spiegelhalter

The Artists of Data Science

Play Episode Listen Later May 20, 2022 61:40


Support the show: https://www.buymeacoffee.com/datascienceharp Find David online: https://twitter.com/d_spiegel Read David's article "Will I live longer than my cat?": https://www.bbc.co.uk/news/magazine-19467491 Watch the video of this episode: https://youtu.be/pCWH97vBFmU Memorable Quotes from the show: [00:23:36] "...essentially what probability theory allows us to do is to make assumptions about how the world works, how the data is generated, and turn it and flip it around after we observe some data into statements about our uncertainty about underlying features of the world. We can do that, which of course is very explicit based on work indeed, where after processing data or uncertainty and it turns into uncertainty about the underlying quantities." Hightlights of the show: [00:01:29] Guest Introduction [00:03:08] Talk to us about how you first got interested in statistics and what was it that drew you to this field? [00:04:55] Why is it that it seems like mathematicians tend to dislike teaching statistics? [00:08:27] What is statistical science and what is it all about? [00:09:46] You talk about in your book, The Art of Statistics, how to handle problems and approach problems in statistics. You call the P, p, b, a C cycle. Tell us about that framework. [00:15:03] You mentioned in the book that statistics is to blame for the reproducibility and replication crises in science. Why? Why is that? [00:18:23] When we talk about induction and inductive inference, should the philosopher in us get worried at all about the problem of induction in statistics? [00:19:40] Tell our audience about the 'normal distribution'. [00:20:34] Do you have any examples of when inductive inference has failed in statistics that you could share with us? [00:22:15] Why do we need probability theory when we're doing statistics? [00:26:25] I think pouring into the Bayesian stuff is kind of taking a step back here, maybe first principles. But what is probability? How do we measure it? It seems like such a strange epistemological concept. [00:28:27] Can we say there's a at least some type of difference between epistemic probability and some physical or I believe you say aleatory? [00:30:03] Would there be a difference in the way that a philosopher or a statistician would interpret probability? [00:38:32] What's the Bayesian approach all about and why is it that courts in the UK are banning it or have banned it? [00:40:16] How is this (Bayesian approach) different from the frequentist approach to viewing probability? What's the central difference? [00:44:55] It seems like the prior distribution is something that makes base them so controversial. Why is that? [00:46:18] It seems like Bayes Theorem is the scientifically correct way to change your mind when you get new evidence, right? [00:48:18] David Deutsch mentioned lately about the Bayesian-ism, and he's having some qualms with Bayesian ism. He says that Bayesian-ism becomes controversial when you try to use it as a way to generate new ideas or judge one explanation against another. How do we reconcile that when we're faced with some epistemic. [00:49:51] About using it to help us in our everyday lives to make better decisions. How can we use Bayes in that context? [00:53:15] It is 100 years in the future. What do you want to be remembered for? Random Round [00:54:17] What do you believe that other people think is crazy? [00:55:02] What are you most curious about right now? [00:55:55] What are you currently reading? [00:58:33] What do you like most about your family? [00:58:53] What was your best birthday? Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Datenbusiness Podcast
#107 mit Manuel Opitz | Co-Founder & CEO bei DeepEye | Altersbedingte Blindheit verhindern mit Künstlicher Intelligenz

Datenbusiness Podcast

Play Episode Listen Later May 19, 2022 85:21


Mit DeepEye wird ein entscheidungsunterstützender Algorithmus entwickelt, welcher eine verbesserte Netzhauttherapie ermöglicht. Damit lassen sich viele Erblindungen verhindern. Im Gespräch heute der Co-Founder und CEO Manuel Opitz: 0:00 - Intro. 0:30 - Manuel ist ein MedTech-Veteran. 11:50 - DeepEye vs altersbedingte Makuladegeneration. 23:50 - Herausforderung Richtung Regulierung etc. 37:10 - Woher kommen die Trainingsdaten? 49:27 - Bessere Therapie und geringere Kosten dank KI. 1:02:14 - Geschäftsmodell. 1:09:40 - Die nächsten Milestones. 1:20:47 - Wie AMD verhindern? ------------------------------------------------------------------------------- Weiterführende Informationen: ► DeepEye: https://deepeye.ai/ ► LinkedIn Manuel: https://www.linkedin.com/in/manuelopitz/ ► LinkedIn Bernard: https://www.linkedin.com/in/bernardsonnenschein/ ► Feedback gerne an bernard.sonnenschein@datenbusiness.de ► Melde dich in unserer Community an: https://community.datenbusiness.de/

That Digital Show
How Garvan Institute of Medical Research is Driving Digital Frontiers in Genomics Analytics

That Digital Show

Play Episode Listen Later May 19, 2022 20:00


In this episode, Associate Professor Sarah Kummerfeld, Head of Data Science for the Garvan Institute of Medical Research, joins Jay and Theo to discuss the vital role cloud computing plays in genomic sequencing. Genomic sequencing has been contributing to medical research to improve the understanding and diagnosis of rare diseases for many years. However, sequencing a single genome produces approximately 100GB of data in its raw format, which then needs to be converted into a format that can be analyzed and shared with researchers. This process can take as much as 600 CPU hours per genome. The Garvan Institute knew that processing vast amounts of genomes was far beyond the capabilities of on-prem infrastructure. And during the COVID-19 pandemic, genomic sequencing took on even more importance. Sarah's team realized that moving to the public cloud was the only way, embarking on a pilot program to process 14,000 genomes. Listen in as Sarah reveals how the team at Garvan Institute reduced the time it took to sequence the virus from a PCR test from two days to about four hours – dramatically speeding up contact tracing and reducing the spread of COVID-19 in the community. She talks through how the team uses a system called Terra, and how it became easier to manage the privacy and security of genomic data in Google Cloud, and the vast capacity required for this data in the region. In fact, Sarah's team discovered that with Google Cloud, there was enough capacity available within Australia to run a pilot program three times as big. As biology increasingly becomes a data science, generating enormous pools of data, Sarah shares how the Garvan Institute is embracing the huge opportunity machine learning presents to help build and improve the vital genomic infrastructure for Australia.

Giant Robots Smashing Into Other Giant Robots
423: Reign Ventures with Monique Idlett

Giant Robots Smashing Into Other Giant Robots

Play Episode Listen Later May 19, 2022 41:54


Monique Idlett is the Founder of Reign Ventures, a seed-stage investment firm, and previously the Co-Founder and CEO of Mosley Brands and Mosley Music Group, home to a multiplatinum roster of artists. Chad talks with Monique about how the music industry is like the startup venture capital industry, understanding that representation matters, having a data-forward approach, and appearing on the TV show Undercover Billionaire, where entrepreneurs are given 90-days and nothing but 100 dollars to go undercover and build a thriving million-dollar business for a small town in the US. Reign Ventures (https://www.reignvc.com/) Follow Reign Ventures on Twitter (https://twitter.com/ReignVc), Instagram (https://www.instagram.com/reign_ventures/), or LinkedIn (https://www.linkedin.com/company/reign-ventures/). Follow Monique on Twitter (https://twitter.com/Monique_Mosley_) or LinkedIn (https://www.linkedin.com/in/monique-idlett-mosley-41353b15/). Follow thoughtbot on Twitter (https://twitter.com/thoughtbot) or LinkedIn (https://www.linkedin.com/company/150727/). Become a Sponsor (https://thoughtbot.com/sponsorship) of Giant Robots! Transcript: CHAD: This is the Giant Robots Smashing Into Other Giant Robots Podcast, where we explore the design, development, and business of great products. I'm your host, Chad Pytel. And with me today is Monique Idlett, the Founder of Reign Ventures, a seed-stage investment firm, and previously the Co-Founder and CEO of Mosley Brands and Mosley Music Group, home to a multiplatinum roster of artists. Monique, thank you so much for joining me. Now, you left Mosley Music Group about three years ago to focus exclusively on Reign Ventures. How is the music industry like the startup venture capital industry? MONIQUE: There is no difference in the way I see a pipeline of amazing talented founders. We're truly looking for those exceptional founders that we can help develop, put up that bumper system. The end product in the music industry was the music we were consuming, the experiences through the live art form. And in the startup world, that end product is the success and the ability to scale a real solution that this company has solved with amazing, talented people. So to me, it was a nice, easy transition, and it made sense. CHAD: Are there ways in which it's different? MONIQUE: Oh my goodness, yes, lots of ways that it's different. The difference is that music is an art form. For me, music is the universal language. I believe that I've traveled the world. And I've been to places where there were language barriers, but when a song, a popular song, came on, the language barrier was gone. In the startup world, there may be several people trying to create and penetrate a problem area in a vertical or a category. And we may not have the ability in the startup world to have several of the same sounding things from a business model. They may not all work. And so you're dealing with the emotional capacity on the music side. And on the tech side of things you're truly dealing with, can you really solve this problem? We're solving problems, not just emotional connections from the music industry perspective. And also, it's a lot slower moving. We have a project in the music industry, and it may have a cycle. And now it's an even shorter cycle with technology. You may be able to create an entire project in just a couple of weeks. In the startup world, in the business side of things, you may not see the development for two to three years. So the patience is definitely...I've had to apply a lot more patience and understanding of being able to scale a business versus just a project-driven entity. So it's a little different, but the end result is all the same. Creating real great solutions for real problems, whether it's through an art form or whether it's through a business model, is all similar to me. CHAD: So, do you have a particular investment strategy or focus at Reign? MONIQUE: We do. Erica and I currently we are the largest two female Black-owned VC fund. So one of the things that we felt ten and a half years ago when we started investing together is investing has just been done...venture has been done wrong. There's a reason why less than 3% of funding collectively was...still to this day; it's about 3.2. But over ten years ago, when we started, only less than 3% of funding from VC was going to women, all women, and Black and Brown founders. And so literally, we were like, the problem is that we're not having enough investment or a lens on women and people of color. And we want to do it the way it should have always been done: investing inclusively. We are proud to say that we invest in all founders, all exceptional founders. And yes, we have a lens on women and people of color because they've been under-capitalized and under-resourced and under-everything. And so the reality is that we want to set the tone of how it should always look and the world is inclusive. Diversity is not an issue; the equity and inclusion side is an issue. And we want to keep being that example. CHAD: That's great. Do you feel like, or in your experience, have you found that these founders were already out there and they just were being passed over? Or were the problems so systemic that they weren't even getting the opportunity to even be out there? MONIQUE: I think there are always exceptional people out there; that's number one. And I think it's a two-prong problem: yes, the pipeline, the access. So there's the lack of access for these types of founders that has absolutely been an issue, the lack of resources, the lack of access. But the other side of it is that they have just been overlooked and not allowed into the rooms. There are exceptional people in this world that don't only look like one type of person. And the reality is that we have access to them. And so yes, both of those are an issue, okay. But the reality is that we have exceptional founders of all types of people. There are amazing people in this world. When you sit behind a computer, and you run an algorithm, and you only go to only your network of what looks like you and comfortable, then you are what we call missing out on a ton of opportunity. So Erica and I are founder-friendly. We go where the founders are. CHAD: I've come to learn and understand representation really matters. Being able to see yourself is really important. And it's something that because I look like what I look like, I had the privilege to not realize how important that is because there are so many people in power that look like me. I can imagine it's super refreshing to a lot of the founders that you work with to be talking with you and sitting across the table from you and seeing that and talking to someone that understands them. MONIQUE: Yes. I think that having someone to relate to on all levels, personal, professional is a very important concept. And I remember starting my career at USA Today; not only was I different in age because most of my colleagues were 40-plus, and I was in my young 20s, they were mostly male and definitely particularly only Caucasian. I was the first African American executive on the marketing and sales side. And I remember feeling very isolated and very lost and not knowing who I could turn to that would understand some of the things I was actually going through. And so yes, founders, it eases the founder's mind when they can talk to me and know that hey, I didn't always look like this from this perspective. I grew up in income-based housing in New Jersey. I understand where you come from. Yes, I understand what it's like to be a Black woman; I am one. But also the other side of it is that when we have founders who are Caucasian male. We like to have conversations of inclusion from the ground up with them. "Did you think about this consumer base? Do you know that you might have to message different?" These are things and conversations that people are not having if you're only talking to one type of person. And so, I think that what Reign Ventures is doing is allowing for comfortable conversation and then execution. CHAD: That's great. You started with a $25 million fund in Reign, and you're well beyond that now, right? MONIQUE: Yes, yes. So our current fund is a $50 million fund, and then our next fund will be...we're going for the stars and trying to raise $100 million. CHAD: Wow. I've talked to a few people who are either interested in starting VC or who have done it before. And what do you use to judge how much or how large of a fund you'll be building? MONIQUE: So we like to think of what we want the outcome to be. And so, the long-term goal of Reign Ventures is to have a billion-dollar under asset management. That has not been done by two Black females before. And so we understand if we do that, if we look at the long-term goal, if we do that and count backwards, here's what it will take to get to that billion dollars under asset management. So yes, the size of the fund will have to increase. But we also know that that means we're creating amazing companies and supporting amazing founders with Reign Ventures. And so we look at the size as our ability to have a larger stake and the ability to have follow-on capital for all of the companies that are doing amazing. I would tell anyone who is looking to start a venture fund that Erica and I (Erica is my business partner.) she and I started and wrote our thesis over ten years ago. And we actually deployed our personal capital for the first nine years so that we could create a data room and so that we could understand what it meant and felt like to have skin in the game so that we can learn truly where we sat well with a thesis. And it ended up being we do really well with consumer tech and SaaS, you know, B2B SaaS software. And so, I would say that it's not an easy journey to start a venture fund. Truly understand what you want your thesis to be. Truly understand that you're going to hear the word No way more than you will hear the word Yes. This is someone else's investment. This is accountability. And try it and understand it before you just start raising money. CHAD: You sort of alluded to this earlier; you said increasing the size of the fund is going to allow you to make bigger investments and follow-on investments. So do you also see you investing in more companies? MONIQUE: So we like to have a 20 to 25 cap strategy per fund. And what we do is we take 25% of the capital for the earliest investment, and then we save 75% of it for the follow-on round so that we maintain our equity stake. Because we're founder-friendly, so we always want to be in that board room. We always want to roll up our sleeves with the founders and so maintaining whichever early equity we have, which is usually the way the fund is structured, between around 10%. It allows us to not just do more companies; it actually allows us to really double down on the portfolio itself and make sure that we're staying and growing with the founders. CHAD: How involved are you? Are you personally involved? Do you split the portfolio up, and each person takes a few? Or how do you typically do it? MONIQUE: We truly, truly do take my 25-plus years in the music industry. We take that very bumper system approach of we're here to help develop the raw talent and, on the tech side of things, the actual founding team and the evolution of the company. And so I usually take the board seats. Erica, she comes from finance, and she's been doing finance banking for over 25 years. She's been doing early-stage investing for 16 of those years. And so, she helps with the finance cap strategies. How do we get you from your seed stage to your A in 12 months? How do we get you from your A to your B? So she's very, very involved with the financial models and running several of those and working with the founders on who's on your cap table? Okay, so intentionally and strategically, who's missing from your cap table? Let's work on that. And then I'm always the one working on taking the board seat. I'm the one working with the vision, the strategy. I'm an operator, so I have a most extensive network. And so I'm the one aligning them with our resources, our network. And you know, yeah, we're very, very involved. And I think that when you're dealing with seed-stage because that's the stage we're in, it's the riskiest. We try to de-risk the company, the founder, the founding team as much as possible. So we are as involved as the founder wants us to be. We do not make founders feel guilty for not having the largest team. We're like, "Okay, what do you need? Let's get you that." And that's where we like to play. We don't see ourselves going into anything past the seed stage. CHAD: Is there a limit to how many companies that you're able to personally work with? And how do you scale, Monique? MONIQUE: So the cool thing about our fund is that all of the companies are intentional. Half of our companies are consumer tech. So they mostly need pretty much the same type of things, even if they're in different verticals. The other half is SaaS. And so the reality is that they're in different stages. They're growing at different stages. And we, first and foremost, create a founder community that supports each other. That's number one. Then we have an LP community that supports not just Erica and I but our founder community. So we look at investing as from a holistic community. We drive community, and that is the way that we're able to actually still have a sustainable business model with Erica and I. And we have a team. We don't do anything by ourselves. We have an entire team dedicated to the growth of our portfolio companies. CHAD: Speaking of that team, what does that team look like now in terms of the different roles on it? And how big is it? MONIQUE: So currently, right now, we have about four full-time. And then, we have a couple of interns who work on the data science side. And then we also have in-house from just Monique from my particular business model side; we have an HR. We have financial operators, and then we have contractors and partners. And so, at the end of the day, there isn't anything that our founders need that we can't source for them internally or externally. CHAD: Who was the first person you brought onto the Reign team, and why? MONIQUE: Her name is Naya, and she actually has worked for me on my foundation side for a few years. She's was an engineering student at University of Miami. And once she graduated, she was now getting her Master's in Data Science. And we felt like being able to report properly on our founders, the companies that were applying that we actually could not invest in but were investable, we'd like to keep track of that. And so, we felt like having someone who could really handle the data side of Reign Ventures was one of the more important hires. And then, we also hired a full-time social media person who handles the content. We have a monthly podcast called The Series A. They oversee that so all communications on our portfolio companies and Reign Ventures as a whole. So those were the first two hires. And we're currently prepping to hire for the summer a full-time associate that will be out of the New York office. We have offices here in Miami, across from the University of Miami, and then we have offices in New York. CHAD: That's cool. The data aspect of that is super interesting to me because I think that I talk to a lot of people, and a modern VC firm is certainly doing that. But there are still ones out there that don't have that data-forward approach that it sounds like you do. MONIQUE: Well, we need to make sense of all of this. So we need to make sense of the idea of how many founders are applying? What is the demographic makeup of them? Who is this founder? Where are they coming from? What markets are they coming from? Because we do invest just only in the United States. And we pretty much invest in all markets here. We'd like to keep that data. And most importantly, we are over-communicators with our LPs. So we're sending them monthly updates. Carta is updated every, you know, they have access to that. So we'd like for them to understand what our day is looking like. How are we spending our time? What type of founders are coming to us? Hey, you all don't necessarily have access to these founders, here's why we do. And so all of this information is important. You have to make sense of who your audience is. And for us, our audience are the founders. Mid-Roll Ad: I wanted to tell you all about something I've been working on quietly for the past year or so, and that's AgencyU. AgencyU is a membership-based program where I work one-on-one with a small group of agency founders and leaders toward their business goals. We do one-on-one coaching sessions and also monthly group meetings. We start with goal setting, advice, and problem-solving based on my experiences over the last 18 years of running thoughtbot. As we progress as a group, we all get to know each other more. And many of the AgencyU members are now working on client projects together and even referring work to each other. Whether you're struggling to grow an agency, taking it to the next level and having growing pains, or a solo founder who just needs someone to talk to, in my 18 years of leading and growing thoughtbot, I've seen and learned from a lot of different situations, and I'd be happy to work with you. Learn more and sign up today at thoughtbot.com/agencyu. That's A-G-E-N-C-Y, the letter U. CHAD: You mentioned that you invest in people in some ways as much or more than you do the idea that they have and really work with them. How far along will people typically be with their product when you start working with them and investing in them? MONIQUE: The way that the investment cycle is, you know, your family and friends, then your angels, and then sometimes even your super angels will come in after that. Then you have your pre-seed, which is usually where you're testing product-market fit, et cetera. And then we step in at the seed stage, which is founder market fit, you know, product-market fit, a billion-dollar addressable market. You understand your operational strategy, where you're going to raise less than 50 million, and if you're not, you have that strategy of why? And definitely more than just an idea at that point. Now you just need to raise this round, to hire on more team, and then scale. So for us, that's how our due diligence works. And if you make it through that due diligence, then it becomes about who is this founding team? Will they be able to deal with adversity? Because you're going to have it. Are they coachable? What is their leadership style? Is it an inclusive environment? You can't be creating an equity company, and then all the team looks the same. So these are the things that we're looking at. What is your personality type? We like to spend time with our founders. How will you deal with the stress because the stress will come. Is your mindset the glass is half full or is it half empty? All of these things are important at the seed stage because it's not the growth stage where it's automatic it's happening. The seed stage boils down to can you deal with adversity? CHAD: I imagine you reject a lot of people. MONIQUE: Ooh, I would say that we use a different term. We are not dream killers. CHAD: Okay. [chuckles] MONIQUE: Here's what we say: we have an open-door policy with founders. We allow founders, even the ones that are not ready for investment or that we've actually had to pass on investment. And the thing is that we can only do 20 companies. That is where we'd like to sit, 20 companies per fund. And if for some reason, it's not a company that we invest in, we still give them access to our resources. We still give them access to our network. We still will spend…I mean, every Friday is our Founder Friday, and it fills up very quickly. Erica and I get on with founders who are not in our portfolio because just because they weren't a good fit for Reign Ventures or it was something that we could not do, maybe it did not fit the fund's structure; we also try to align them with investors that might fit them more properly. And so I don't feel like we reject; we just redirect. CHAD: So given that then, I imagine that you are often pretty open with the companies that you're not able to invest in the reasons why and hopefully, it helps them. MONIQUE: Oh, absolutely. We get founders all the time that say, "Listen, this was the best thing. Prior to coming to you all, we weren't able to raise $1. You didn't invest in us, but you taught us how to be investable, and now we've raised money." That's what we want to hear. None of us win if there's really a great company with a great solution that can really have some traction if they never get up and running. CHAD: That's great. And maybe you get the opportunity to invest in them later, right? MONIQUE: Yep. Absolutely. Absolutely. There are a couple of companies that that has happened. And one of them is now back in our due diligence and probably will make it through. CHAD: Yeah. Are there any companies in your portfolio that you particularly want to give a shout-out to? MONIQUE: Oh, we love all of our portfolio companies. CHAD: [laughs] MONIQUE: You know, Sharebite, Dormify, SoLo Funds. SoLo Funds is one of my favorite companies from the perspective of dealing and disrupting predatory lending. As a person who grew up in a neighborhood that liquor stores and cash checking were like every other block, if not on the same block, we truly do know the long-term effect it has on those communities, right? The underserved communities get so taken advantage of. If you don't have $200 and then you go to a predatory lender, and you're paying them $2,000, how do you ever advance? And so SoLo Funds really, really the only Black-owned B Corp in the United States. CHAD: That's awesome. MONIQUE: This narrative is so important, Chad. CHAD: Yeah. And, you know, not only is it important from a social perspective, but that is a huge business. It's a huge market opportunity for the right company with the right values to come in and be able to have a significant business, too, right? MONIQUE: Listen, they're making the whole ecosystem better. For the lenders, listen; they feel good. They're having a positive social impact. And oh, by the way, I'm getting a return. For the borrowers, they are getting financial literacy. They are getting higher social credit scores, which is then impacting their personal credit score. I mean, listen, by the way, when this company was created, over 76% of Americans, if they were hit with a $200 bill, they were not going to be able to pay it. So this is not just about one type of community. This is about the American concept. CHAD: So when you work with a company like that, were they a B Corp when you started working with them? MONIQUE: No. True story, I was literally personally the second investor in and then the third before there was ever even...So Rodney Williams is the Co-Founder of SoLo Funds. And I'm on his board for LISNR. We were one of the first investors in LISNR, which is the data over audio company. And he shared this idea with me, and I loved it because we all come from a neighborhood where we know and we were the ones who quote, unquote, "were doing better" in our families. So we were always getting the daily calls like, "Oh, my car broke down. Oh, this." And when he said this to me, I'm like, "Oh my goodness, this makes so much sense. I'm in." And see, this is where investing in people comes to play. Rodney had proved his ability as a founder with LISNR. So the trust was there, the relationship was there. Travis comes from banking, super, super intellectual, really quality guy, and not only is he the co-founder, but he's the CEO. And he's doing an amazing job. So no, it was not a B Corp; it is now one. And they will be the largest neobank for this community. And so growing and seeing the cycle of it is what, for me, personally, is what makes me happy. All of our companies in our fund have a social impact perspective. CHAD: Had you been involved in a B Corp before? It's something that I'm really interested in, but I have not been directly involved in one before. And I'm actually really interested in it for thoughtbot too. MONIQUE: No, I had not. No. CHAD: Is it difficult? [laughs] MONIQUE: So was it difficult for them? Absolutely. But they made it through. They made it through. And I think that we now have two men who are great human beings who happen to be Black men, but they are just great human beings who went through the process and can now help educate and share that experience with other people that look like them and are trying to do the same thing as them, create great companies with a great social impact to just have a better world. CHAD: From an investor perspective, when your portfolio companies want to embark on something like becoming a B Corp, which, you know, some investors might look at and say, "That might be a distraction from what you need to do now," how do you look at those things? MONIQUE: I mean, listen, if you want to become a B Corp, you actually are trying to have more of an impact, and I wish more companies were. When we actually are only focusing on the dollar side, the stakeholders of the dollar side, how are we truly making sure that we're impacting the world in a positive way? There's a lot of conflict usually. So we encourage that type of behavior; we encourage founders to think beyond their dollar sign and their stakeholders' dollar sign. The good thing is that they had an amazing team supporting them. They had an amazing A series lead investor, ACME, that really drove it with them. And so they did this. We didn't do this. They did it. This was their mission, and they did it. CHAD: That's great. And it's definitely something that's on my list to dig into more, like I said, for thoughtbot as well. So was it 2021 that you were on Undercover Billionaire? Was it last year? MONIQUE: Oh my goodness. CHAD: Or was it the end of 2020? MONIQUE: So it was the end of 2020, yes. [laughs] Tacoma, Washington. CHAD: Yeah. So for folks who don't know, Undercover Billionaire is a TV show where you give up all of your resources, and you're planted in a city, and you start a business from scratch. And you have what? Ninety days to bring it to a million-dollar business? MONIQUE: Yes. So technically, the premise of the show is you literally get a new identity. And you do not know where you're being dropped literally until you're dropped there. And so, I had no idea I would be dropped into Tacoma, Washington. And one, they give you $100, literally, a phone with no contacts in it, and a used vehicle, and you have 90 days to turn that into a million-dollar valuation. CHAD: It must have been a wild experience. MONIQUE: I have to tell you, the emotional connection that has to happen and then also by the way you're lying to everyone, it was a very intense thing. And most of the time, 99% of time, you're running on adrenaline. And to be completely honest, when I first got there, you're focused on the goal. The goal is can you make this valuation? The goal is I can't be the example that didn't make it right. Then when you get there, it becomes less and less about the goal. You actually get to a point where you don't even care if you make the goal. You care about the community that you've been dropped into. And you just want to see them win, and you want to see them become better. And Tacoma, Washington, everything from the mayor, down to now to one T'wina Nobles, who is now the Senator, the youngest senator in the state of Washington, these amazing people were a part of my journey. So it became all about, wow, at the end of that experience, that last show, and I look at the room of all those people, it was the most inclusive experience naturally. That's what the win was for me personally. And I also got to learn about myself. But I will tell you that it was one of the hardest things I've ever done in life outside of having children and raising them to be healthy adults. [laughter] CHAD: Not only to build the business, you mean, but that experience of -- MONIQUE: Just the entire experience. CHAD: I watched the episode where you told everybody who you really were. MONIQUE: Yes. CHAD: And I could see that it had really affected you. MONIQUE: I was lying to people every single day. And these people were so amazing. They donated their time, their resources, their ability to me because that company could not happen without them and without the community. And so, what we all walked away with was a shared experience of how powerful community actually is. And that even when you don't know how to figure something out, if you use your voice, someone will actually help you and you end up all helping each other. For me, that's what was so beautiful about the experience. CHAD: I imagine it's pretty intense. How quickly did you force yourself to settle on the business you were actually going to build? MONIQUE: It's so interesting because I have been asked like, "Did you create the concept before you went?" And I said, "Actually, no," literally, I went into it with a blank mind of wherever I end up, I want to see what they need, and we'll create a business model around that. So I think it was like day four of being in Tacoma. And I was in an area that was a food desert for the most part. And I'm like, listen, I'm talking to people, and they're like, "Oh yeah, we have to order juice shots. They have to get shipped. Or we get the ones that are, you know, sitting in the grocery store, and that's not a lot of options." And I'm like, wow, this is a problem. And I'm like, let's reimagine the ice cream truck. Everyone would like to think that the wealth gap...that if you make money, you care about your health, if you don't make money, you don't care about your health, actually, no. [laughs] I grew up in a natural home, and we lived in income-based housing growing up. And so the reality is that everyone wants to be healthy. People need more access to healthier options at an affordable rate, and people will buy it. So the question was, oh, Monique, you can't sell juice shots for $5. Yes, we can. You think a community just because they're underserved won't pay for their health? They absolutely will if you give them the option to. We always sold out in the communities that they said would never sell. CHAD: So up against a ticking clock, what did you do to sort of validate the idea and really run with it, or did you just know? MONIQUE: No, you don't just know, right? CHAD: Yeah. [chuckles] MONIQUE: You're literally working on adrenaline. Listen, there was nothing normal. We all know this as business owners; there's nothing normal about this concept. You can't create a successful business in 90 days. So you're literally in overdrive: no sleep, multitasking, doing all types of things. Here was the thing; first of all, I talked to the community. I asked them what did they need? What were they missing? If they had access to something, would they utilize it? That was number one. Number two was testing it. So I started making samples. And I went out to the community again and started testing it. Three was of the test that did good; let's run with that and package that up. And you have to understand, Chad, it was the height of the pandemic. Everything was shut down. You know, I live in Florida, so we weren't like that. But going to Tacoma, Washington, nothing was open. So I had to think, how do I get to people because they're not coming and cannot come to a brick and mortar? So the only thing that was pretty much open was the farmers' market. So that's what I did. I'm like, let's get to the farmers market. And also, let's see how we become mobile, oh, the ice cream truck treats. Let's teach people that healthy treats are actually what they crave. CHAD: I think even though it was accelerated, intense, the things you're talking about doing in terms of validating the idea, actually talking to customers, testing things out, those are things I think people want to do in any situation. MONIQUE: It is absolutely true. We talk to founders all the time, and it's the I, I, I. And we tell them, "Well, have you talked to your customer?" Sometimes we're so close to our ideas because we hold them, and we're trying to solve a problem maybe that we experience. That's step one. But step two is, is it something that other people want and need? So you definitely have to go out there and do market research. CHAD: Are there other things that you counsel founders on doing? Particularly with the seed stage, you know, on the verge of significant growth and scaling, what are some things that are maybe common plays or common pitfalls of companies at that stage? MONIQUE: So some of the things that we see, especially with solo founders, is them having this idea that only they can do everything and not understanding that you actually have to have a founding team. And that does require you to give some equity. We see founders wanting to hold on to everything. And then it becomes do you want 100% of something that's very restricted, or do you want to share it and make it something really special and a part of a billion-dollar concept? So that's one. Two would be founders in need happen to take money without understanding that it is a debt that even if it's fundraising and you're raising institutional capital, these are your investors. These are your partners. And is it a good partnership? We have seen a lot of founders in contractual and legal documents because they went and took money from the wrong type of investor. We see that -- CHAD: And they did that because they were desperate at the time? MONIQUE: They were desperate. They were desperate. They were desperate and for just really crazy, contractual things. They don't have attorneys look at the paperwork. We see a lot of these mistakes. And so we tell founders you have to have a step back from your business. You have to look at all types of options. Have you applied for grants and particular grants in areas of the problem that you're solving? Have you tried for Small Business Association grants? Have you tried to get a credit line versus an investor who's now going to have equity? These are all the things. And if you do need investors, don't take all the same types of investors. If every investor in your cap table is a bean counter and the numbers aren't playing out well for them, what type of board meeting is that going to be? So make sure you have an operator who's on your board. Make sure you have a financial person, investor on your board. You have to be very strategic and intentional. And if you're in a desperate moment, I can guarantee that is not when you want to take the money that you actually need to do a deeper dive and step back from the company to really see what the company needs. CHAD: Monique, I feel like that's great advice. The level of experience and passion that you have for the work is obvious in listening to you. It makes me want to work with you. [laughs] MONIQUE: Oh, thank you, Chad. Yes, I'm very impressed with what you have built. And I'm very impressed with you understanding the ability to give access to information to your audience. Here's the thing, we are products of an environment of capitalism. And there's nothing wrong with capitalism, but it just needs to be a lot more conscious. And it needs to have a much better impact for all. The problem with from our childhood age of education is we've been taught that there's only one, there can only be one winner. There's only one first place. We have to take that mindset back and really step into the power and the power that we truly have, which is abundance. There's enough for us all. We just have to give that power back to it. And the reality is that we all need each other, and we all need to build together. And people just need access to information. Most founders tell us, "I was embarrassed to ask that. I was made to feel like I was supposed to know this, so I just went ahead and pretended like I knew it." It's okay that we don't know everything. In fact, I like to sit in that space of student and say, "You know what? I like to be in the room that I actually don't know anything because then that means I'm learning, and it's okay. We better keep learning." One of my favorite quotes is, "We delight in the beauty of the butterfly but rarely admit the changes it has gone through to achieve that beauty." And Maya Angelou wrote that, and she understood the human spirit needs to understand that no matter what career path we're on, Founder, CEO, employee, employer, no matter what that is, it is a constant evolution of self. And sometimes we'll feel like a butterfly, and sometimes we will have to be in that learning and growth and uncomfortable stage. But the beauty of uncomfort means you're growing, and we have to make more people feel comfortable with that. CHAD: That's beautiful. Monique, thank you so much for coming on the show and sharing with all of us. MONIQUE: No, thank you, Chad, for having me. CHAD: If folks want to get in touch with you or find out more about Reign, where are all the different places that they can do that? MONIQUE: So if they want to contact me, they can email me at monique@reignvc.com, which is R-E-I-G-N-V-C.com. We're on LinkedIn; we're on Twitter; we're on Instagram. And if they want to learn more about Reign VC, they could just go to reignvc.com. And if they have any questions, they can submit it, and we'll get back to them. CHAD: Wonderful. And you can subscribe to the show and find notes and a full transcript for this episode at giantrobots.fm. If you have questions or comments, email us at hosts@giantrobots.fm, and you can find me on Twitter at @cpytel. This podcast is brought to you by thoughtbot and produced and edited by Mandy Moore. Thanks for listening, and see you next time. ANNOUNCER: This podcast was brought to you by thoughtbot. thoughtbot is your expert design and development partner. Let's make your product and team a success. Special Guest: Monique Idlett.

Python Bytes
#284 Spicy git for Engineers

Python Bytes

Play Episode Listen Later May 18, 2022 41:12


Watch the live stream: Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training Test & Code Podcast Patreon Supporters Brian #1:distinctipy “distinctipy is a lightweight python package providing functions to generate colours that are visually distinct from one another.” Small, focused tool, but really cool. Say you need to plot a dynamic number of lines. Why not let distinctipy pick colors for you that will be distinct? Also can display the color swatches. Some example palettes here: https://github.com/alan-turing-institute/distinctipy/tree/main/examples from distinctipy import distinctipy # number of colours to generate N = 36 # generate N visually distinct colours colors = distinctipy.get_colors(N) # display the colours distinctipy.color_swatch(colors) Michael #2: Soda SQL Soda SQL is a free, open-source command-line tool. It utilizes user-defined input to prepare SQL queries that run tests on dataset in a data source to find invalid, missing, or unexpected data. Looks good for data pipelines and other CI/CD work! Daniel #3: Python in Nature There's a review article from Sept 2020 on array programming with NumPy in the research journal Nature. For reference, in grad school we had a fancy paper on quantum entanglement that got rejected from Nature Communications, a sub-journal to Nature. Nature is hard to get into. List of authors includes Travis Oliphant who started NumPy. Covers NumPy as the foundation, building up to specialized libraries like QuTiP for quantum computing. If you search “Python” on their site, many papers come up. Interesting to see their take on publishing software work. Brian #4: Supercharging GitHub Actions with Job Summaries From a tweet by Simon Willison and an article: GH Actions job summaries Also, Ned Batchelder is using it for Coverage reports “You can now output and group custom Markdown content on the Actions run summary page.” “Custom Markdown content can be used for a variety of creative purposes, such as: Aggregating and displaying test results Generating reports Custom output independent of logs” Coverage.py example: - name: "Create summary" run: | echo '### Total coverage: ${{ env.total }}%' >> $GITHUB_STEP_SUMMARY echo '[${{ env.url }}](${{ env.url }})' >> $GITHUB_STEP_SUMMARY Michael #5:Language Summit is write up out via Itamar, by Alex Waygood Python without the GIL: A talk by Sam Gross Reaching a per-interpreter GIL: A talk by Eric Snow The "Faster CPython" project: 3.12 and beyond: A talk by Mark Shannon WebAssembly: Python in the browser and beyond: A talk by Christian Heimes F-strings in the grammar: A talk by Pablo Galindo Salgado Cinder Async Optimisations: A talk by Itamar Ostricher The issue and PR backlog: A talk by Irit Katriel The path forward for immortal objects: A talk by Eddie Elizondo and Eric Snow Lightning talks, featuring short presentations by Carl Meyer, Thomas Wouters, Kevin Modzelewski, Samuel Colvin and Larry Hastings Daniel #6:AllSpice is Git for EEs Software engineers have Git/SVN/Mercurial/etc None of the other engineering disciplines (mechanical, electrical, optical, etc), have it nearly as good. Altium has their Vault and “365,” but there's nothing with a Git-like UX. Supports version history, diffs, all the things you expect. Even self-hosting and a Gov Cloud version. “Bring your workflow to the 21st century, finally.” Extras Brian: Will McGugan talks about Rich, Textual, and Textualize on Test & Code 188 Also 3 other episodes since last week. (I have a backlog I'm working through.) Michael: Power On-Xbox Documentary | Full Movie The 4 Reasons To Branch with Git - Illustrated Examples with Python A Python spotting - via Jason Pecor 2022 StackOverflow Developer Survey is live, via Brian TextSniper macOS App PandasTutor on webassembly Daniel: I know Adafruit's a household name, shout-out to Sparkfun, Seeed Studio, OpenMV, and other companies in the field. Joke: A little awkward

Motoring Podcast - News Show
Not Bullied - 17 May 2022

Motoring Podcast - News Show

Play Episode Listen Later May 18, 2022 55:10


FOLLOW UP: VED PRICES FROM LAST SPECIAL EDITION ERRORAs was kindly pointed out, by Tony Williams, the VED prices for the Toyota Yaris Cross, explained in the last Special Edition, were for the first year only. They change following that. Thank you Tony, for raising the point and the nice way you did it! GOVERNMENT INVEST £200M IN ZERO-EMISSION LORRY FLEETThe UK Government is investing £200 million to help accelerate the move to zero-emission HGV vehicles. The money will be used to create a demonstrator fleet to help businesses know what is possible for them and their work. To read more, click the MoveElectric story link here. NEWCASTLE CLEAN AIR ZONE POSTPONEDNewcastle transport chiefs have announced that they are postponing the introduction of the Clean Air Zone (CAZ), which would've meant a charge of £50 for lorries, buses and coaches, whilst vans and taxis would pay £12.50 a day if their vehicles did not meet the requirements. Private cars were not included in the proposal, at this time. For more on this, click here to read the Chronicle Live article. SMART MOTORWAYS GET UPGRADED SAFETY TECH BY SEPTEMBERBy September this year, Smart Motorways will get new safety cameras and radar detection upgrades to improve the network of the already installed sections of digital motorways. More can be read by clicking this link to the Motoring Research article here. ALISON JONES PROMOTED IN STELLANTISAlison Jones will move on from heading up the Stellantis team in the UK, to become senior vice president of circular economy. Whatever that means. Her replacement is Paul Willcox, who is Vauxhall's managing director. The changes come into effect on 1 June 2022. To learn more, click the Automotive Management article here. PLYMOUTH INSTALLS 20MPH SPEED CAMERAPlymouth has installed a 20mph speed camera, along Old Laira Road. During the test period of the camera 23, 500 offences were recorded, with 1,100 in just the first 24 hours. The camera was fully operational as of Monday 16 May, 2022. Click here to read more, on the BBC News website. TOYOTA CUTS PRODUCTION DUE TO CHINA COVID LOCKDOWNThe ongoing lockdown, in Shanghai, has caused Toyota to cut production thanks to parts not being able to be shipped out of the area to their factories. To learn more about the effects on Toyota, click this BBC News link here. RENAULT SELLS AVTOVAZ ASSESTSRenault has managed to extricate itself from Russia by selling their assets to a science institute, apparently for 1 rouble. However, they have retained the option of a six year buy-back option. You can read the Reuters article by clicking this link here. The Moskvitch brand is apparently being reborn and will take advantage of the production facilities. SHELL AIMING FOR 100,000 CHARGERS BY 2030Shell has pledged to install 100, 000 public chargers in the UK by 2030, with 11,000 being rapid versions. On top of this they will be installing chargers for private homes and workplaces taking their total up to an estimated 500,000 by 2030. Click this link to read more from ZapMap. VW REVIVES SCOUT BRAND FOR US MARKETVolkswagen is reviving the Scout brand name as it targets the US with EV SUVs and pick-ups. In the US, VW still is feeling the effects of #dieselgate and what that has done to their image. By using an unrelated name, which they purchased last year, they will be hoping to sidestep any negative problems. To learn more, click here for the Autocar article. UK GOVERNMENT TO LEGALISE PRIVATE E-SCOOTERSThe UK Government has announced that it will introduce legislation that legalises e-scooters on public roads. Ministers claim that safety is central to this and that they must be available to all. To learn more, click this MoveElectric article here. Then for information on opening e-scooters to all click the MoveElectric article here. ——————————————————————————-We are at the MOVE 2022 Conference at ExCel, London. Alan will be moderating a panel titled "All these EV targets, where's the charging infrastructure?" with Katie Black, head of the UK's Office for Zero-Emission Vehicles; Daniel Tibble, Director of Data Science and Analytics of the connected vehicle data company, Wejo; and Hui Zhang, the Vice President for Europe of EV company, NIO. More details on the conference can be found by clicking this link here. We have some complimentary tickets, which you can apply for, if you wish to attend the conference yourself. To do so, click this link here and fill out the details required. ——————————————————————————-If you like what we do, on this show, and think it is worth a £1.00, please consider supporting us via Patreon. Here is the link to that CLICK HERE TO SUPPORT THE PODCAST——————————————————————————-JIM MAGILL DRIVING ACROSS THE US FOR CHARITYFriend of the show, Jim Magill, is driving across the US in the prototype VW XL1, to raise money for Alzheimer's Research UK. To follow along with Jim you can click this YouTube link here and select The Car of the Future Past videos. To support the effort and donate, click the JustGiving link here. NEW NEW CAR NEWS2023 Ford E-Transit Custom EV -Possibly the most important commercial EV for the UK, Ford has announced the details of the E-Transit Custom. With a 232 claimed milage and a similar capacity of the ICE version. The Transit Custom outsold the best selling car in 2021, by 25%, so it is no understatement that this is a vital vehicle for Ford. Details are yet to be revealed as to which battery will be used, but it is expected to offer the same 181bhp or 265bhp motors that the E-Transit will use. Whilst prices have not been announced either, the expectation is for them to start around £40,000. To learn more, click this link for the Autocar article. 2022 Genesis GV60 - Genesis has now, after much teasing of the car, revealed the details and specifications of the GV60, their first dedicated EV. All versions use the 73kWh battery, with the Premium model being a 225bhp RWD version offering 321 miles. Moving up to the Sport model you get four wheel drive, with a 99bhp electric motor for the front wheels, resulting in a total of 314bhp and 292 miles. The top of the range Sport Plus has a whopping 482bhp and 289 miles range. To read more, click the Autocar link here. Vauxhall Insignia - Vauxhall are no longer selling the Insignia in the UK. A new models, reported to be a SUV, will hit the streets in 2026. For more on this, click here to read the Autocar article. DESIGNERS MOOD BOARD: MILES NURNBERGER LEAVES DACIADacia have lost their design director, less than a year after he joined the company. David Durand will step up from vice president of design to run the team. No reason has been given for Nurnberger leaving. More information can be found at this Autocar link here. LUNCHTIME READ: IT WILL SOON BE EASY FOR SELF-DRIVING CARS TO HIDE IN PLAIN SIGHTFollowing the publication of a UK based survey into people's thoughts on self-driving cars, Jack Stilgoe has written an article about how AVs can not be easily distinguished from cars driven by humans and poses the question if we should allow that. To read this excellent piece, click the link to the MIT Technology Review article here. LIST OF THE WEEK: AUTOCAR AWARDS 2022Autocar held their annual awards last week, and we have a slide show for you to run through, to catch up on all the categories and winners. Thankfully, these are given to cars you can actually buy which doesn't always happen with some others. To run through the winners, click this link here. AND FINALLY: A GORGEOUS HOBBYMartin Aveyard creates stunning models and dioramas at 1:24 scale, just for the pleasure of doing so. His work is so good, that looking at the photos you'd think they were real cars from a fabulous tuning or modifying company. Click here for the Hager article link and then go find him on Instagram to follow.

Data Science at Home
Learning from data to create personalized experiences with Matt Swalley from Omneky (Ep. 197)

Data Science at Home

Play Episode Listen Later May 16, 2022 24:39


In this episode I speak with Matt Swalley, Chief Business Officer of Omneky, an AI platform that generates, analyzes and optimizes personalized ad creatives at scale. We speak about the way AI is used for generating customized recommendation and creating experiences with data aggregation and analytics. And yes! respecting the privacy of individuals.   Links Grow your business with personalized ads https://www.omneky.com/ Data Science at Home Podcast (Live) https://www.twitch.tv/datascienceathome

Vanishing Gradients
Episode 8: The Open Source Cybernetic Revolution

Vanishing Gradients

Play Episode Listen Later May 16, 2022 65:57


Hugo speaks with Peter Wang, CEO of Anaconda, about what the value proposition of data science actually is, data not as the new oil, but rather data as toxic, nuclear sludge, the fact that data isn't real (and what we really have are frozen models), and the future promise of data science. They also dive into an experimental conversation around open source software development as a model for the development of human civilization, in the context of developing systems that prize local generativity over global extractive principles. If that's a mouthful, which it was, or an earful, which it may have been, all will be revealed in the conversation. LInks Peter on twitter (https://twitter.com/pwang) Anaconda Nucleus (https://anaconda.cloud/) Jordan Hall on the Jim Rutt Show (https://www.jimruttshow.com/jordan-greenhall-hall/): Game B Meditations On Moloch (https://slatestarcodex.com/2014/07/30/meditations-on-moloch) -- On multipolar traps Here Comes Everybody: The Power of Organizing Without Organizations (https://en.wikipedia.org/wiki/Here_Comes_Everybody_(book)) by Clay Shirky Finite and Infinite Games (https://en.wikipedia.org/wiki/Finite_and_Infinite_Games) by James Carse Governing the Commons: The Evolution of Institutions for Collective Action (https://www.cambridge.org/core/books/governing-the-commons/7AB7AE11BADA84409C34815CC288CD79) by Elinor Olstrom Elinor Ostrom's 8 Principles for Managing A Commmons (https://www.onthecommons.org/magazine/elinor-ostroms-8-principles-managing-commmons) Haunted by Data (https://idlewords.com/talks/haunted_by_data.htm), a beautiful and mesmerising talk by Pinboard.in founder Maciej Ceglowski

Data And Analytics in Business
E100 - Craig Price - Perfecting Customer Experience by Perfecting Customer Engines with Data Science

Data And Analytics in Business

Play Episode Listen Later May 15, 2022 63:11


Imagine getting served a burger but it's all bun and patty. Nothing else. Weird, but not bad, I guess - especially if you're hungry. Now, imagine if your server strides over and adds on all your favourite toppings and fixings. Some tomato slices, cheese, a cold beer on the side, maybe even a cookie for dessert. This is what you came for! This is what will make you come back! But how did they know all your favourites? Well, this isn't your first time here. They've been paying attention to what you like and what you don't, and they've been taking note. The plain burger is customer service, but this is customer experience. All the little notes they've been making as you come in everyday, that's where customer engines come in. Meet Craig Price Craig's Role as a Data Science & AI Leader at Suncorp Group Craig Price is the Group Head of Data Science & Artificial Intelligence Centre of Excellence at Suncorp Group. For over 100 years, the Suncorp Group has been building futures, offering insurance, banking and wealth products and services through some of Australia and New Zealand's most recognised financial brands. Their portfolio of brands includes AAMI, GIO, Suncorp Bank and Vero. Suncorp Group Limited is a top 50 ASX-listed company with over 9.5 million customers and 13,000 employees. They have been an ‘Employer of Choice for Gender Equality' for six consecutive years, and in 2019, were awarded Silver Employer Status at the Australian LGBTI Inclusion Awards and the Susan Ryan Age Diversity Award. Craig's Other Work in Finance, Actuarial, and Data Science at Suncorp Group​ Craig works with The Data Science & AI Centre of Excellence at the Suncorp Group to maximise the value that Suncorp gets from its investments by turning data into tangible business value. He manages a team of data scientists and analytics professionals building innovative solutions for market leading brands like AAMI, Suncorp, GIO, and Apia. Prior to this role, in Craig's 20+ years with the Suncorp Group, he has taken on the roles of the Principal Actuary for Workers' Compensation & CTP as well as for Motor Insurance, the Executive Manager of Personal Insurance Pricing Analytics, Modelling Acceleration, and Data Science. More recently, Craig was the Head of Data Science for Analytics & Business Engagement. Outside of work, Craig is passionate about making a difference in community development, disaster relief, and educating children through opportunities from STEM. Customer Engines, Customer Experience, and Intelligent Automation In this exclusive analytics podcast episode, Craig shares: His experience volunteering at ADRA Australia His role as the Group Head of Data Science & Artificial Intelligence CoE at the Suncorp Group The importance of having the Centre of Excellence model for data science and AI at an organisation like Suncorp What the financial service industry can do to win the long game If models like Next Best Action and Next Best Offer to reduce the churn rate could be incorporated into the next generation of customer engines and experience Embedding data analytics for better customer experience How this is different from traditional customer segmentation How the role of intelligent automation converges with his work in perfecting the customer experience Putting together multiple teams to create a powerful customer engine How FSI can replicate the customer experiences of big companies like Google and Amazon If these points will become important add-ons for the Customer Data Platform in the near future His advice for other companies in the industry to get started using intelligent automation and data analytics to build better customer experience Key lessons from his experiences in building these customer engines a --- Send in a voice message: https://anchor.fm/analyticsshow/message

AI and the Future of Work
Chandra Khatri, Chief Scientist and Head of AI at Got It AI, discusses the future of NLP for better customer experiences with bots

AI and the Future of Work

Play Episode Listen Later May 15, 2022 32:33


Chandra Khatri,  Chief Scientist and Head of AI at Got It AI, was a key team member in the early days of AI at eBay, Amazon, and Uber. He has been on the cutting edge of NLP research for more than a decade and now leads AI at Got It AI. Chandra and the team are making it easier for customers to have conversations with bots.  He's making innovative use of transformers and active learning to use "small data" to train sophisticated large language models to automatically answer customer questions in fields as diverse as healthcare, financial services, education, and defense.Listen and learn… What the AI culture is like at eBay, Amazon, and Uber About transformers, why they're important, and how they're improving NLP accuracy How we've moved AI from search ranking (recommender systems) to other use cases including operations and bots How the rise of open source and no-code tools is making “Google-like” AI maturity accessible to every company How startups with limited access to data can use transfer learning to improve AI accuracy What's holding back broader adoption of AI in the enterprise How the rise of Technical Product Managers (TPMs) is bridging the gap between engineers and business analysts How to eliminate bias from training data How long before we'll all have a personal JARVIS References in this episode… Got It AI Chandra on LinkedIn Hugging FaceChristopher Nguyen on AI and the Future of Work

The Artists of Data Science
Data Science Happy Hour 81| 13MAY2022

The Artists of Data Science

Play Episode Listen Later May 15, 2022 103:40


Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=I6uLiz4lTrU&ab_channel=HarpreetSahota%7CTheArtistsofDataScience Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Future Tense - ABC RN
Does data science need a Hippocratic oath?

Future Tense - ABC RN

Play Episode Listen Later May 15, 2022 29:08


The use and misuse of our data can have enormous personal and societal consequences, so what ethical constraints are there on data scientists?

TAG Data Talk
Identifying the Why Why: Strategies to understand true problems and questions for data science projects

TAG Data Talk

Play Episode Listen Later May 14, 2022 18:45


In this episode of TAG Data Talk, we talk with Selma Dogic about strategies to understand true problems and questions for data science projects

More Intelligent Tomorrow: a DataRobot Podcast
Having Your Own Genetic Personal Trainer - FOXO Technologies

More Intelligent Tomorrow: a DataRobot Podcast

Play Episode Listen Later May 13, 2022 40:59


More Intelligent Tomorrow host Dave Anderson got a chance to catch up with FOXO Technologies' Tyler Danielson and Nichole Rigby to discuss longevity, epigenetics, and rethinking life insurance.Tyler Danielson is the Chief Technology Officer at FOXO Technologies with a history of working in the financial services and commerce industries. Nichole Rigby is the Director of Data Science and Bioinformatics at FOXO Technologies. She's a data scientist specializing in analyzing genetic and other biological data.FOXO Technologies is a company that's bringing epigenetics together with AI to disrupt the insurance industry. It's creating models to classify human health based on epigenetic data and using those models for the goal of underwriting life insurance.Since epigenetics is a new term for most of us, Dave asked Nichole to explain it.At the most basic level, epigenetics are the chemical modifications that exist along the outside of DNA strands and affect gene expression. They're not your genes, which are coded into your DNA and don't change. Epigenetics are chemicals that sit on the gene and are responsible for the expression of those genes.We're still learning what controls and influences epigenetics. But we do know they change over a person's lifetime. Some are naturally expressed, and others are affected by factors such as diet and exercise.David says he's been hearing more and more about epigenetics lately. Is this new science, or are we just noticing it more?While it's a new field of study, the public is getting familiar with the idea of individual genetic data thanks to the rise of consumer genetic testing services.An epigenetic test starts with collecting a saliva sample, so it's less invasive than a traditional blood test.When your doctor runs a blood test, they're usually looking for specific indicators which will tell, for example, if you're a smoker. The advantage of epigenetic testing is that it returns a much wider range of information. For an insurance company, the results could be useful for determining if it should insure someone and for how much."Human made epigenetics risk classification is a challenge."This is a new approach to risk classification. Because the insurance industry already has a long-standing history of using existing actuary tables, the acceptance of epigenetic testing as a tool for risk classification is proving to be one of the biggest challenges for FOXO.But the use of AI has helped them uncover new insights. With just a single sample, FOXO can quantify more than 850,000 sites along the genome overnight."I'm here to do really cool science with the potential … to help humans and make the world a better place."FOXO is unique in using epigenetics as a wellness report. It's the first company to combine epigenetics, wellness, and insurance.Dave wants to know how we get to a more intelligent tomorrow with epigenetics.Nichole's answer is with lots and lots of data. Tyler wants insurance companies to take a step back and reconsider how to help its customers live longer.In this episode, learn more about how FOXO Technologies is seeking to disrupt the insurance industry including:Learn about epigenetics and how it differs from DNADiscover how using epigenetics can help you live longerHear the reasons epigenetics is changing the insurance industry

The Artists of Data Science
Dave on Data | David Langer

The Artists of Data Science

Play Episode Listen Later May 13, 2022 61:06


Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://youtu.be/x26n7HmSYjw Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Datacast
Episode 91: Collaborative Data Workspace, The Sharing Gap, and Engineering Management with Caitlin Colgrove

Datacast

Play Episode Listen Later May 13, 2022 65:12


Show Notes(01:37) Caitlin went over her college experience studying Computer Science at Stanford University in the early 2010s.(03:55) Caitlin talked about her teaching experience for CS 106A and CS 103.(07:09) Caitlin shared valuable lessons from completing software engineering internships at Harvard University, Facebook, and Palantir.(10:06) Caitlin walked over technical and organizational challenges during her time at Palantir — building products for both government/commercial customers and working with designers/infrastructure engineers to deliver full-stack applications to the field.(12:01) Caitlin explained why Palantir is composed of “loosely individual startups.”(14:56) Caitlin recalled learning curves during her transition to a tech lead role at Palantir — becoming responsible for the technical architecture and code quality of the product, mentorship and growth of the engineers, and the product direction and prioritization of features.(18:31) Caitlin discussed her time as a Data Engineering Manager at Remix Technologies — leading the team that builds geospatial data pipelines on top of AWS, Postgres/PostGIS, and Apache Airflow.(24:45) Caitlin reflected on valuable leadership and people management lessons absorbed during her transition to growing and developing diverse and inclusive engineering teams.(29:05) Caitlin shared the founding story of Hex, the modern data workspace for teams, alongside her co-founders Barry and Glen.(32:58) Caitlin talked about Hex's ideal users (the “analytically technical” who need better tools to access and manage more sophisticated workflows) and introduced Hex's Logic View.(35:22) Caitlin examined the collaboration challenges in data teams and revealed Hex's Library to address some of the shortcomings.(39:59) Caitlin shared her thoughts on the evolution of data science notebooks.(42:14) Caitlin unpacked the nuanced problem of justifying data ROI to functional stakeholders and described Hex's interactive App Builder.(45:17) Caitlin shared exciting development in the horizon of Hex's product roadmap.(46:37) Caitlin shared valuable hiring lessons to attract the right people who are excited about Hex's mission.(52:10) Caitlin shared the hurdles to find the early design partners and lighthouse customers of Hex.(56:01) Caitlin shared upcoming go-to-market initiatives that she's most excited about for Hex.(58:24) Caitlin shared fundraising advice for founders currently seeking the right investors for their startups.(01:01:42) Closing segment.Caitlin's Contact InfoLinkedInTwitterHex's ResourcesWebsite | Twitter | LinkedInLogic View | App Builder | Knowledge LibraryDocs | Blog | GalleryCustomers | Careers | Integrations | PricingMentioned ContentArticles“Long Live Code” (June 2020)“Don't Tell Your Data Team's ROI Story” (Aug 2020)“The Sharing Gap” (Oct 2020)PeopleTristan Handy (Founder and CEO of dbt Labs)Claire Carroll (Product Manager of Hex, previous Community Manager of dbt Labs)Wes McKinney (Creator of Pandas and Arrow, Co-Founder and CTO of Voltron Data)DeVaris Brown (Co-Founder and CEO of Meroxa)Book“Mindset: The New Psychology of Success” (by Carol Dweck)NotesMy conversation with Caitlin was recorded back in Fall 2021. Since then, many things have happened at Hex. I'd recommend looking at:Caitlin's piece announcing Hex's SOC 2 Type II report to reflect Hex's commitment to securityCaitlin's recent talk at Data Council Austin about implementing reactive notebooks with iPythonThe release of Hex Knowledge Library, a new way to publish and discover data workHex's $16M Series A (led by Redpoint Ventures) and $52M Series B (led by a16z along with Snowflake, Databricks, and existing investors)Hex's increasing list of customers such as AngelList, Fivetran, Hightouch, Loom, Mixpanel, Notion, Ramp, Replicated, SeatGeek, etc.

The Innovation Community Podcast
TDS Podcast S02E23: Andrea Costigliola - Head of Data Science & Digital Systems at Hovione

The Innovation Community Podcast

Play Episode Listen Later May 12, 2022 32:47


Laszlo Mucsi // Andrea Costigliola https://www.linkedin.com/in/laszlo-mucsi/

Talk Python To Me - Python conversations for passionate developers
#365: Solving Negative Engineering Problems with Prefect

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later May 12, 2022 64:10


How much time do you spend solving negative engineering problems? And can a framework solve them for you? Think of negative engineering as things you do to avoid bad outcomes in software. At the lowest level, this can be writing good error handling with try / except. But it's broader than that: logging, observability (like Sentry tools), retries, failover (as in what you might get from Kubernetes), and so on. We have a great chat with Chris White about Prefect, a tool for data engineers and data scientists meaning to solve many of these problems automatically. But it's a conversation applicable to a broader software development community as well. Links from the show Chris White: @markov_gainz Prefect: prefect.io Fermat's Enigma Book (mentioned by Michael): amazon.com Prefect Docs (2.0): orion-docs.prefect.io Prefect source code: github.com A Brief History of Dataflow Automation: prefect.io/blog Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe to us on YouTube: youtube.com Follow Talk Python on Twitter: @talkpython Follow Michael on Twitter: @mkennedy Sponsors Microsoft Talk Python Training AssemblyAI

Python Bytes
#283 The sports episode

Python Bytes

Play Episode Listen Later May 12, 2022 32:58


Watch the live stream: Watch on YouTube About the show Sponsored: RedHat: Compiler Podcast Special guest: Tonya Sims Michael #1: Pathy: a Path interface for local and cloud bucket storage via Spencer Pathy is a python package (with type annotations) for working with Cloud Bucket storage providers using a pathlib interface. It provides an easy-to-use API bundled with a CLI app for basic file operations between local files and remote buckets. It enables a smooth developer experience by letting developers work against the local file system during development and only switch over to live APIs for deployment. Also has optional local file caching. From Spenser The really cool function is "Pathy.fluid" which can take any type of local, GCS, or S3 path string and then just give you back a Path object that you can interact with agnostic of what platform it was. So this has worked amazingly for me in local testing since i can just change the file path from the "s3://bucket/path" that i use in prod to a local "test_dir/path" and it works automatically. Brian #2: Robyn “Robyn is a fast, high-performance Python web framework with a Rust runtime.” Hello, Robyn! - intro article docs, repo Neat things doesn't need WSGI or ASGI async very Flask-like Early, so still needs some TLC docs, etc. getting started and demo apps would be good. Tonya #3: Python package 'nba_api' is a package to access data for NBA.com This package is maintained by Swar Patel API Client package for NBA.com, more accessible endpoints, and better documentation The NBA.com API's are not well documented and change frequently (player traded, injured, retired, points per game, stats, etc) The nba_api package has tons of features: The nba_api starts with static data on players and teams (Full name, team name, etc). Each player and Team has an id. Can get game data from the playergamelog API endpoint The package also has many different API endpoints that it can hit by passing in features from the static data to the API endpoints as parameters Michael #4: Termshot From Jay Miller Creates screenshots based on terminal command output Just run termshot YOUR_CMD or termshot --show-cmd -- python program.py Even termshot /bin/zsh for full interactive “recording” Example I made: Brian #5: When Python can't thread: a deep-dive into the GIL's impact Itamar Turner-Trauring Building a mental model of the GIL using profiler graphs of simple two thread applications. The graphs really help a lot to see when the CPU is active or waiting on each thread. Tonya #6: Sportsipy: A free sports API written for python Free python API that pulls the stats from www.sports-reference.com sports-reference.com - great website for getting sports stats for professional sports(NBA, NFL, NHL, MLB, college sports) Looks like an HTML website for the 90s - great for scraping (email site owners) You can get API queries for every sport (North American sports) like the list of teams for that sport, the date and time of a game, the total number of wins for a team during the season, and many more team-related metrics. You can also get stats from players and box scores - so you can build cool stuff around how a team performed during a game or during a season. Extras Michael: Python 3.11.0 beta 1 is out Test with GitHub Actions against Python 3.11 Joke: Finding my family

Ken's Nearest Neighbors
Behind the Scenes of a Data Science Movie (Hunter Kempf) - KNN Ep. 98

Ken's Nearest Neighbors

Play Episode Listen Later May 11, 2022 78:06


Today I had the pleasure of interviewing Hunter Kempf. Hunter is a Data Scientist at Cloudflare, a Z by HP Global Data Science Ambassador and is finishing up his Masters in Cybersecurity from Georgia Tech. He completed his undergraduate degree in Electrical Engineering from the University of Notre Dame and went on to work at AT&T in a variety of data roles over the course of 4 years while earning his Masters in Data Science. In his free time Hunter works on a variety of data science related side projects some of which end up as medium articles and enjoys backpacking and hiking. I had the pleasure of working with Hunter on the Unlocked campaign this year and in this episode we dive into some behind the scenes details. We also learn about some of the incredible personal projects hunter is working on. Hopefully some of his inspire you to look at your own data in a new light.

Truth Be Known
Being a Steward of Data and Insights with Robert Brown, Senior Director of Research for the Venture Forward Initiative at GoDaddy

Truth Be Known

Play Episode Listen Later May 11, 2022 50:52


This episode features an interview with Robert Brown, the Senior Director of Research for the Venture Forward Initiative at GoDaddy. This is his 13th year at GoDaddy, having started as Director of Database Marketing. Prior to GoDaddy, Robert served as Director of Pulte Homes for 9 years. On this episode, Robert talks about tiering data for smarter decisioning, developing intrinsic motivation in employees, and being a successful steward of data and insights.Quotes*”It's very important as a manager to be invested in the career of the people I'm managing. To have these extended one-on-one conversations with people that are on my teams. And not just during review cycles but along the way. What's working well for them? What are their aspirations? How can I be different in terms of the way that I'm engaging with them? What do they need more of, or less of, from me? And I found that that first builds a lot of loyalty, but it's also just made me a better manager.”*”You have to give people an opportunity to fail or succeed in a safe environment. Start with a smaller group. Don't put them in front of the CEO the first time. Don't put them on the big stage. Give them those moments in smaller increments, smaller doses with a more comfortable audience for them to practice and learn and give them that feedback.'”*”I personally had a lot of managers who haven't given me a lot of feedback along the way. And it feels comfortable, but it doesn't make you better. And so how you frame that critique of course matters. But that it's even delivered is a big part of growing people and making them more expert in what they're trying to do. And telling them, ‘That's one way to do it. Here's a different way to potentially do it where I've found some success,' without bashing somebody over the head and saying, ‘Here's the way I want you to follow this template.' To me, that doesn't teach people. That just turns them into automatons or robots, of following somebody else's dictate or even personal style.”*”Step back and try not to control the individual. Just give them a broad target. Say, ‘Here's the goal,' and let them have some creativity. Let them do some experimentation within that broad framework of the outcome you're trying to get to.”Time Stamps*[6:26] How GoDaddy uses data to shift the global economy*[6:51] What is Venture Forward?*[12:34] How does Venture Forward work?*[15:31] Stitching together data to influence policy makers*[19:21] Branching into the UK*[21:59] GoDaddy's journey to becoming data-driven*[30:57] How Robert Brown leads high performance teams*[48:25] The importance of experimentation to progressLinksConnect with Robert on LinkedInCheck out GoDaddy.comConnect with Rob on LinkedInFollow Rob on TwitterThanks to our friendsTruth Be Known is brought to you by Talend, a leader in data integration and data integrity, enabling every company to find clarity amidst the chaos. Talend Data Fabric brings together in a single platform all the necessary capabilities that ensure enterprise data is complete, clean, compliant, and readily available to everyone who needs it throughout the organization. Learn more at Talend.com

Data Scientist MINDSETS
Bioinformatics and Systems Biology with Dr. Martina Summer-Kutmon

Data Scientist MINDSETS

Play Episode Listen Later May 11, 2022 37:24


In this episode, Chang Sun invited Dr. Martina Summer-Kutmon who works as an Assistant professor at the Department of Bioinformatics (BiGCaT) and the Maastricht Centre for Systems Biology (MaCSBio).Martina shares her career journey and how she could combine her interest for the human body with her passion for mathematics and also technology. Furthermore, her research focuses on network and pathway-based integrative systems biology to study the interaction between immune and metabolic systems. With Birgit Wouters and Tiffany Leung, Martina coordinated the Amrapali Zaveri Awards for Data Science which recognizes scholars for their special contributions to Data Science in honor of Amrapali.Follow us on Twitter/Instagram: @DSMindsets Episode show notes are available on our website! Please leave us feedback on Apple Podcasts, Spotify or your favorite podcast platform. If you are a member of the Maastricht University community, please evaluate our episodes! Your input helps us to meet our grant-funded objectives and improve our podcast: https://forms.gle/yZV2DTFH6Jo4Kyss5Special thanks to our partner: UM Inner City Library Makerspace for providing facilities for recording.This project is financially funded by UM Diversity & Inclusivity Grant 2022. For more information, visit: https://www.maastrichtuniversity.nl/about-um/diversity-inclusivity/your-di-vision-um Music: Funkorama by Kevin MacLeodLink: https://incompetech.filmmusic.io/song/3788-funkorama License: https://filmmusic.io/standard-license

A Cork in the Road
Episode 6.9 - Reggie Leonard, Wine Unify Award Recipient and Virginia Wine Enthusiast

A Cork in the Road

Play Episode Listen Later May 11, 2022 53:27


This inspiring and uplifting episode features Reggie Leonard, a wine student and Virginia wine enthusiast based in Charlottesville, Virginia. He currently leads career development at the University of Virginia's School of Data Science, but when he's not coaching students or hosting events, Reggie is a regular on the Charlottesville arts, dining, tech, and wine scene. His discerning palate and accessible commentary have already opened doors to countless conversations-turned-collaborations. Reggie is a recipient of the inaugural cohort of Wine Unify, an educational program providing award opportunities for minority groups interested in or working in wine, through which he pursued a WSET Level 1 certification and earned his WSET Level 2 with Distinction shortly after. We talk about his wide array of experiences in the Virginia wine industry that have been pivotal moments in his wine education journey, and we discuss how he is working to combine his knowledge and passion toward a parallel career in the wine industry. We discuss the art of "paying attention" while developing your palate, and we highlight a few of the items on his "wine bucket list". Keep an ear out for a list of some fantastic Virginia wine recommendations at the end of the episode, and you can connect with him at @reggieleonard on Instagram to learn more about his goals for the industry. Recorded April 2022 --- Support this podcast: https://anchor.fm/acorkintheroad/support

Good Things Happen
Innovation

Good Things Happen

Play Episode Listen Later May 10, 2022 33:15


“Innovation” can sometimes feel like an overused buzzword favored by the likes of startups. But more and more, multinational companies are infusing their organizations with teams focused on looking ahead to solve the biggest problems facing their industries. But how do companies with offices around the world and a workforce that numbers in tens of thousands take a nimble approach and embrace a startup mindset? ​ ​ On this episode of “Good Things Happen,” we're joined by Emily Turner, Head of Business Development for the Citi Institutional Clients Group, and Arjun Viswanathan, Head of Data Science, Markets at Citi to get their perspective.​ ​ Emily and Arjun are forging new ground at Citi with their focus on innovation, looking for ways to simplify internal processes and make room for everyone to participate in the process and create the next genius idea. Listen in as they discuss the impact of their work and democratizing the “innovation” process.​

SuperDataScience
SDS 573: Automating ML Model Deployment

SuperDataScience

Play Episode Listen Later May 10, 2022 66:34


In this episode, co-founder and CEO of Linea, Dr. Doris Xin, joins Jon Krohn to discuss how automating ML model deployment delivers groundbreaking change to data science productivity, and shares what it's like being the CEO of an exciting, early-stage tech start-up. In this episode you will learn: • How Linea reduces ML model deployment down to a couple of lines of Python code [5:14] • Linea use cases [11:30] • How DAGs can 10x production workflow efficiency [22:12] • ML model graphlets and reducing wasted computation [24:14] • What future Doris envisions for autoML [35:23] • Doris's day-to-day life as a CEO of an early-stage start-up [42:43] • What Doris looks for in the engineers and data scientists that she hires [52:21] • The future of Data Science and how to prepare best for it [53:58] Additional materials: www.superdatascience.com/573

Build Better Tech: How the nation’s leading companies use tech as business strategy to win.
Airbnb CSO & Head of Trust Engineering & Data Science Vijaya Kaza: "There are no failures in life, only opportunities and experiences to learn from."

Build Better Tech: How the nation’s leading companies use tech as business strategy to win.

Play Episode Listen Later May 10, 2022 43:42


Vijaya Kaza is the Chief Security Officer and Head of Engineering & Data Science for Trust & Safety at Airbnb. She has an extraordinary record of technology leadership in building teams, guiding product development, and driving innovation in the field of security, machine learning, and AI. Her personal framework for scaling companies which she shares in our discussion comes from her years of experience doing exactly that at some of the biggest tech companies in the world. Make sure to follow Vijaya on LinkedIn to keep up with her insights. I also want to highlight the inspiring account she shares of how Airbnb and many of its users have rallied to support the Ukrainian people during the terrible conflict in Ukraine. Prior to 2022, Airbnb had already helped match over 100,000 people in crisis with housing and other types of support, and the work carries forward with massive contributions and housing programs to support affected Ukrainians. Learn more at airbnb.org. 

Motoring Podcast - News Show
Such A Cop Out - 9 May 2022

Motoring Podcast - News Show

Play Episode Listen Later May 10, 2022 35:20


APRIL 2022 NEW CAR REGISTRATION FIGURESApril 2022 figures are down 15.8% on even last year's poor results, due mainly to supply issues with continued effects of the chip shortage, the Ukraine War and China's zero Covid policy that has shut down large amounts of the economic centres of the country. For more information, click here for the SMMT article. To get a bit more detail on the figures, click here for Auto Retail Network's Tristan Young's Twitter thread. TOBIAS MOERS LEAVES ASTON MARTINAston Martin's CEO, Tobias Moers, is set to leave the company, being replaced by the ex-CEO of Ferrari Amedeo Felisa. This comes not long after Stroll, the owner of Aston, said he wouldn't be going anywhere. However, rumours had grown increasingly loud that changes were coming. For more on the departure, click the EVO article here. To learn more about his replacement, click this link to the Top Gear article. LOTUS OPENS NEW MANUFACTURING FACILITY AT HETHELLotus has officially opened their new manufacturing facility at Hethel. Called the Chapman Production Centre, this is the latest moves in the £100 million investment in UK Lotus, to equip them for the aims they have as a company. You can read more, by clicking the link here to their own article. MINI HALTS MANUAL CAR PRODUCTIONDue to the impact of supply chain restraints, MINI has been forced to stop the production of manual cars, for the foreseeable future. Recently, they had to stop all production due to the effects of the war in Ukraine. For more, click here to read the Autocar story. DEFENDER ADVERTS BANNEDDue to the two viewers complaining about Land Rover adverts, that give the impression that reversing sensors would inform the occupants that a cliff edge was approaching, when they do not warn of an open space, the ads have been banned by the Advertising Standards Authority (ASA). To read more and wonder why you don't have that much time on your hands as some, click here for the Car Dealer Magazine article. ——————————————————————————-We are at the MOVE 2022 Conference at ExCel, London. Alan will be moderating a panel titled "All these EV targets, where's the charging infrastructure?" with Katie Black, head of the UK's Office for Zero-Emission Vehicles; Daniel Tibble, Director of Data Science and Analytics of the connected vehicle data company, Wejo; and Hui Zhang, the Vice President for Europe of EV company, NIO. More details on the conference can be found by clicking this link here. We have some complimentary tickets, which you can apply for, if you wish to attend the conference yourself. To do so, click this link here and fill out the details required. ——————————————————————————-If you like what we do, on this show, and think it is worth a £1.00, please consider supporting us via Patreon. Here is the link to that CLICK HERE TO SUPPORT THE PODCAST——————————————————————————-NEW NEW CAR NEWSMercedes-Benz T Class -Mercedes has revealed their replacement for the Citan, which was competent but jolly expensive. Again, using a shared platform, with the Renault Kangoo, they will look to tap into the increasing van-derived car market, that offers oodles of practicalities for the footprint. Prices have yet to be announced in the UK, but equivalent for those stated for Germany equate to starting at £24, 565. A variety of petrol and diesel engines will be offered, with a full EV option following. For more, click the Autocar link here. Isuzu D-Max Arctic Trucks AT35 - Order books have opened for the new Actic Trucks AT35 D-Max. Think expedition pick up and you'll be moving in the right direction when trying to imagine the AT35. Uprated suspension and tyres are very obvious indicators this is no normal D-Max. Prices start at £47, 999 (ex. VAT) for the manual, with you needing to add about £1500 for an auto. To find out more, click the link here to WhatVan?'s article. LUNCHTIME READ: INTERIOR EVOLUTION - JAGUAR MK2 XFDesign Field Trip has run down the history of the XF interior, running through what made it good, not so good and how it could've been executed. A fascinating view at someone who is not just knocking things for the sake of it, but because they want and know they can do better. To read, click the article link here. LIST OF THE WEEK: THE COOLEST CARS OF THE 1990SThis week we are recommending running through the Retro Motor's list of the coolest 1990s cars. You can see if you agree with the chaps, by clicking this link here. Don't forget to tell Alan and Andrew what you'd choose. AND FINALLY: DELIGHTS OF RUN-DOWN FRENCH CAR LOTPicking our jealousy baton once again, for Antony Ingram and his recent road trip through France, we are recommending that you read his account of going through a run-down car lot he spotted, as he was passing. Just the sort of place we could all loose hours in, poking around the parked up classics. To see some of what he did find, click here for the Hagerty article.

CPhI Podcast Series
Leveraging data science for sustainable autoinjector development

CPhI Podcast Series

Play Episode Listen Later May 10, 2022 14:17


Environmental impact is an area of increasing focus for the pharma and biopharma industries, with companies like Merck, Pfizer and GlaxoSmithKline setting https://www.dcatvci.org/features/big-pharma-and-sustainability-tracking-companies-goals/ (ambitious targets) for carbon neutrality and laying plans for waste reduction. The need for sustainable solutions is recognised by both industry and consumers, with many companies reimagining their products and processes to incorporate more eco-friendly materials, minimise waste and improve social impact. One such company is SHL Medical, a producer of advanced delivery devices such as autoinjectors, who are utilising data science to advance their sustainability goals. In this week's episode, CPhI speaks to Frederick Gertz, Manager of Data Science at SHL, and Veluska Bruce, ESG project manager, about the relationship between data and sustainability. They explain how data insights drove the installation of more sustainable manufacturing processes and advocate for the ‘win-win scenarios' made possible by adopting a data-driven approach.

Quantitude
S3E28: The Challenges & Joys of Academia

Quantitude

Play Episode Listen Later May 10, 2022 63:15


In this, their 100th episode and Season 3 finale, Greg and Patrick talk about the challenges and joys of a career in academia. Helping to ensure that we don't let the bastards grind us down are the voices of three insightful assistant professors and three wonderful graduate students. Along the way, we also mention lining up the napkin, hug free zones, margarita night in 2003, relying on the kindness of strangers, Strunk & White voodoo, a mile-high C, Mr. October, going beyond the veil, the Black Plague, messages in bottles, the gates of the citadel, turning the container ship, work-work balance, being the bad guy, the focus groups in my head, 50cc of sodium phenobarbital, that'll do pig, front wheel drive/rear wheel drive, and attaboys.  

AI in Action Podcast
E339 Ben Tengelsen, VP of Data Science at IntelyCare

AI in Action Podcast

Play Episode Listen Later May 9, 2022 15:15


Today's guest is Ben Tengelsen, VP of Data Science at IntelyCare in Greater Boston, MA. Founded in 2014, IntelyCare are the leading tech-enabled nurse staffing platform for healthcare organizations in the U.S. Through their AI-based platform, they schedule and match nursing professionals with open assignments at 1,600+ organizations across the country. In doing so, they provide nurses and nursing assistants with unprecedented flexibility in their work lives, while at the same time empowering healthcare organizations to take control of how they manage nursing staff. Ben leads a team of data scientists and analysts in their mission to generate as much value as possible from IntelyCare's data. They are experts at statistical and predictive modeling, but are also fullstack engineers when it comes to scaling and deploying models. Projects include a state-of-the-art pricing algorithm (AI based, learns in real time), a powerful recommendation engine (used for both in-app recommendations and targeted messaging), and various forecasting algorithms to manage things like on-call pools, engagement campaigns and last-minute requests. In the episode, Ben will discuss: The work IntelyCare do helping nurses, How they use data at IntelyCare, The role of Machine Learning & Data Science within the platform, What it's like to be part of the Data Science team, The impact of Covid-19 within the business, and Plans for growth & what the future holds for IntelyCare

Doctors Investing Group: Physicians in Real Estate
Ep 69 - The Importance of Data Science with Neal Bawa of Grocapitus Investments, Part 2

Doctors Investing Group: Physicians in Real Estate

Play Episode Listen Later May 9, 2022 24:21


This week is Part 2 of our episode with Neal Bawa. Neal is the founder and CEO of Grocapitus, a multi-family operator with over $1B in assets under management from Idaho to Miami, and many places in between. In this episode, listen for:In this week's episode, we get into investing in multi-family properties while prices are skyrocketing, pro and cons for borrowing with inflation going upwards, and the future of Grocapitus.Must-Listen Moments :[1:20] -  Possibly risks when interest rates rise[14:23] - How inflation can harm rental income[17:56] -  if multi-family is still a quality asset class for investmentMore from DIG Capital:Find and listen to more episodes at https://www.digcapital.com/podcastsRead more about real estate syndications and passive investing at https://www.digcapital.com/blogTo invest alongside other physicians: https://www.digcapital.com/joinPodcast Technical Support by: Wayfare Recording Co.

Sales and Marketing Built Freedom
Leveraging your Clients as Capital: Speaking with Richard Owen of Data Science Company OCX Cognition

Sales and Marketing Built Freedom

Play Episode Listen Later May 8, 2022 37:55


Two-time CEO and first time founder of OCX Cognition Richard Owen talks to Ryan in this episode. OCX Cognition is a software and data science company that uses machine learning to create real-time NPS and customer health performance. Previously to this, Richard Owen ran DELL's ecommerce platform and he has also built two software companies. Richard and Ryan talk about NPS (Net-Promoter-Score), NRR (Net-Recurring-Revenue) and how using machine learning to predict and measure these can provide an invaluable resource and tool for companies. Richard also talks about and advocates on how your customers are your best marketing assett as well as your best collaborators too! KEY TAKEAWAYS OCX are due to reach their first million, they sell large tickets to enterprises, focusing on margins at a high value rather than volume of clients. There's a narrative in the business community that you launch and are successful in six months, but this simply isn't true. It takes a lot of hard graft, time and commitment to grow and reach your first million and beyond. Companies are always trying to figure out net revenue retention. What we know to be true in the business world, is that customers ultimately renew based on their experiences with the company relative to their expectations. Previously companies would either ask their internal teams or you would survey customers to gain this information. But this was far from an exact science. So, what OCX Cognition does is use machine learning instead to predict behaviour. OCX Cognition are really bringing a lot of computer and logic based science to what was previously a very anecdotal and guesswork situation. When OCX Cognition was created, Richard worked with clients as a service based product, using other data systems from people he knew. Once they had created solutions and value for these clients, Richard then used the capital gained to build and create their own software. If customers want to work with you and are interested in your end solution, then you can follow this approach too. But be prepared to make many changes along the way and forever be evolving to meet clients and customers needs. Your biggest cost when starting is in engineering. You are spending time and money creating software that you won't use or that doesn't work so be hyper-aware and wary of this fact. Your customers are your best marketing asset and your best collaborators. Word of mouth and recommendations are powerful tools and customers will tell you what you are doing right and what you are doing wrong too. What every company needs to understand is there a whole host of experiences that contribute to a customer making a decision on whether to stay, go forward or retract from a vendor and these interactions all start very early. The customer is in a constant state of revaluating where they are and how they feel about the company. Out of everything you are do as a company, what things have the highest impact? Think about this and work accordingly, not everything you do or focus on is equal.   BEST MOMENTS “What every CEO of a company wants to understand is what essentially is my true condition of my customer base” “Leverage your clients as capital” “Every new customer we take on we are learning something that improves our fundamental algorithms” “Think of this as a continuous stream of activities that a customer is consuming and all of those activities impact their static level of loyalty to that company” Do You Want The Closing Secrets That Helped Close Over $125 Million in New Business for Free?"  Grab them HERE: https://www.whalesellingsystem.com/closingsecrets   Ryan Staley Founder and CEO Whale Boss 312-848-7443 ryan@whalesellingsystem.com www.ryanstaley.io    EPISODE RESOURCES https://ocxcognition.com https://www.linkedin.com/company/ocxcognition https://www.linkedin.com/in/richard-owen-98ba3/   ABOUT THE SHOW How do you grow like a VC backed company without taking on investors? Do you want to create a lifestyle business, a performance business or an empire? How do you scale to an exit without losing your freedom? Join the host Ryan Staley every Monday and Wednesday for conversations with the brightest and best Founders, CEO's and Entrepreneurs to crack the code on repeatable revenue growth, leadership, lifestyle freedom and mindset. This show has featured Startup and Billion Dollar Founders, Best Selling Authors, and the World's Top Sales and Marketing Experts like Terry Jones (Founder of Travelocity and Chairman of Kayak), Andrew Gazdecki (Founder of Micro Acquire), Harpaul Sambhi (Founder of Magical with a previous exit to Linkedin) and many more. This is where Scaling and Sales are made simple in 25 minutes or less.     Support the show: https://www.linkedin.com/in/ryan-staley/ See omnystudio.com/listener for privacy information.

The Artists of Data Science
Data Science Happy Hour 80 | 29APR2022

The Artists of Data Science

Play Episode Listen Later May 8, 2022 84:56


Support the show: https://www.buymeacoffee.com/datascienceharp Watch the video of this episode: https://www.youtube.com/watch?v=SYiQ1ncCGv8&ab_channel=HarpreetSahota%7CTheArtistsofDataScience Don't forget to register for regular office hours by The Artists of Data Science: http://bit.ly/adsoh Register for Sunday Sessions here: http://bit.ly/comet-ml-oh Listen to the latest episode: https://player.fireside.fm/v2/eac-KT9/latest?theme=dark The Artists of Data Science Social links: Support the show: https://www.buymeacoffee.com/datascienceharp YouTube: https://www.youtube.com/c/HarpreetSahotaTheArtistsofDataScience Instagram: https://www.instagram.com/datascienceharp Facebook https://facebook.com/TheArtistsOfDataScience Twitter: https://twitter.com/datascienceharp

Marketing x Analytics
Data Science x Analytics, with Jay Hakim

Marketing x Analytics

Play Episode Listen Later May 8, 2022 80:23


In this episode I sat down with Jay Hakim, VP of Data and Business Intelligence at Beyond Finance. Jay has been in the data world for decades and has a lot of stories to tell. We discuss potential future disruptions in data, cloud computing current and future business models, paid search and marketing attribution, how recommendation models work, and more. Join the discussion below!  Twitter          |          LinkedIn Listen to more episodes on the Marketing x Analytics Homepage. Transcribed episodes of Marketing x Analytics are available on Podscribe.com. All view are our own.

Talk Python To Me - Python conversations for passionate developers
#364: Symbolic Math with Python using SymPy

Talk Python To Me - Python conversations for passionate developers

Play Episode Listen Later May 7, 2022 67:52


We're all familiar with the data science tools like numpy, pandas, and others. These are numerical tools working with floating point numbers, often to represent real-world systems. But what if you exactly specify the equations, symbolically like many of us did back in Calculus and Differential Equations courses? With SymPy, you can do exactly that. Create equations, integrate, differentiate, and solve them. Then you can convert those solutions into Python (or even C++ and Fortran code). We're here with two of the core maintainer: Ondřej Čertík and Aaron Meurer to learn all about SymPy. Links from the show Ondrej Certik: @OndrejCertik Aaron Meurer: @asmeurer SymPy: sympy.org SymPy Docs: docs.sympy.org/dev Tutorials: docs.sympy.org The SymPy/HackerRank DMCA Incident: asmeurer.com SymEngine: github.com SymPy Gamma: gamma.sympy.org Sovled derivative problem - wait for derivative steps to appear: gamma.sympy.org Github Takedown Repo: github.com e: The Story of a Number book: amazon.com Watch this episode on YouTube: youtube.com Episode transcripts: talkpython.fm --- Stay in touch with us --- Subscribe on YouTube: youtube.com Follow Talk Python on Twitter: @talkpython Follow Michael on Twitter: @mkennedy Sponsors Microsoft Sentry Error Monitoring, Code TALKPYTHON AssemblyAI Talk Python Training