Podcasts about strata data conference

An exit interview with Ann, Technical Creative Director of WholeWhale.com reflecting on lessons over 7 years with the company.  Ann Nguyen Technical Creative Director On Social https://www.linkedin.com/in/nguyenann https://twitter.com/annnnnguyen    Ann joined Whole Whale in 2013 and has been making splashes since then in the areas of design, development, and A/B testing. She keeps the New York team afloat and works directly with clients on using design and tech to scale their impact. During her time at Whole Whale, Ann has overseen site builds that include DREAM, the LAMP, and Donate Life America. Beyond website development, Ann has led the charge on work with the Peter G. Peterson Foundation, the One Love Foundation, Charitybuzz, Prizeo, and United Way ALICE. Ann is also the product manager behind Lighthouse by Whole Whale and is currently working with Power Poetry on their Poetry Genome, a tool that uses machine learning to generate a percentage comparison to various writers based on the theme, style, and content of any poem on the site. Both classic and contemporary writers are represented in different sections of our Genome (shoutout to Shakespeare and Kendrick). Ann is a regular speaker and lecturer on nonprofit tech topics. She's presented on machine learning for good and A/B testing for organ donations at the 2018 Strata Data Conference in San José, and spoke at the 2018 Strata Data Conference in New York on “How to Be Aggressively Tone-Deaf Using Data (or, We Should all Be For-Benefits).” 2018 also saw Ann copresent on A/B testing with the Wikimedia Foundation at the Nonprofit Technology Conference in New Orleans. Ann has guest lectured at NYU, Columbia University, and Sarah Lawrence College. She also frequently joins design discussions at various panels from the Lowline to the White House. Before joining Whole Whale, Ann worked with a wide range of organizations, including the Ford Foundation, SumAll Foundation, and Bitly.

In the very first episode of What the Dev? created by the editorial team at SD Times, we are on the ground at the Strata Data Conference, we talk about the latest advancements in VR/AR technology and lay out the themes for our upcoming episodes.

For the final episode of our Strata Data series, we’re joined by Eric Colson, Chief Algorithms Officer at Stitch Fix, whose presentation at the conference explored “How to make fewer bad decisions.” Our discussion focuses in on the three key organizational principles for data science teams that he’s developed at Stitch Fix. Along the way, we also talk through the various roles data science plays at the company, explore a few of the 800+ algorithms in use at the company spanning recommendations, inventory management, demand forecasting, and clothing design. We discuss the roles of Stitch Fix’splatforms team in supporting the data science organization, and his unique perspective on how to identify platform features. The complete show notes for this episode can be found at https://twimlai.com/talk/257. For more from the Strata Data conference series, visit twimlai.com/stratasf19. I want to send a quick thanks to our friends at Cloudera for their sponsorship of this series of podcasts from the Strata Data Conference, which they present along with O’Reilly Media. Cloudera’s long been a supporter of the podcast; in fact, they sponsored the very first episode of TWiML Talk, recorded back in 2016. Since that time Cloudera has continued to invest in and build out its platform, which already securely hosts huge volumes of enterprise data, to provide enterprise customers with a modern environment for machine learning and analytics that works both in the cloud as well as the data center. In addition, Cloudera Fast Forward Labs provides research and expert guidance that helps enterprises understand the realities of building with AI technologies without needing to hire an in-house research team. To learn more about what the company is up to and how they can help, visit Cloudera’s Machine Learning resource center at cloudera.com/ml.

In this episode of our Strata Data conference series, we’re joined by Burcu Baran, Senior Data Scientist at LinkedIn. At Strata, Burcu, along with a few members of her team, delivered the presentation “Using the full spectrum of data science to drive business decisions,” which outlines how LinkedIn manages their entire machine learning production process. In our conversation, Burcu details each phase of the process, including problem formulation, monitoring features, A/B testing and more. We also discuss how her “horizontal” team works with other more “vertical” teams within LinkedIn, various challenges that arise when training and modeling such as data leakage and interpretability, best practices when trying to deal with data partitioning at scale, and of course, the need for a platform that reduces the manual pieces of this process, promoting efficiency. The complete show notes for this episode can be found at https://twimlai.com/talk/256. For more from the Strata Data conference series, visit twimlai.com/stratasf19. I want to send a quick thanks to our friends at Cloudera for their sponsorship of this series of podcasts from the Strata Data Conference, which they present along with O’Reilly Media. Cloudera’s long been a supporter of the podcast; in fact, they sponsored the very first episode of TWiML Talk, recorded back in 2016. Since that time Cloudera has continued to invest in and build out its platform, which already securely hosts huge volumes of enterprise data, to provide enterprise customers with a modern environment for machine learning and analytics that works both in the cloud as well as the data center. In addition, Cloudera Fast Forward Labs provides research and expert guidance that helps enterprises understand the realities of building with AI technologies without needing to hire an in-house research team. To learn more about what the company is up to and how they can help, visit Cloudera’s Machine Learning resource center at cloudera.com/ml. I’d also like to send a huge thanks to LinkedIn for their continued support and sponsorship of the show! Now that I’ve had a chance to interview several of the folks on LinkedIn’s Data Science and Engineering teams, it’s really put into context the complexity and scale of the problems that they get to work on in their efforts to create enhanced economic opportunities for every member of the global workforce. AI and ML are integral aspects of almost every product LinkedIn builds for its members and customers and their massive, highly structured dataset gives their data scientists and researchers the ability to conduct applied research to improve member experiences. To learn more about the work of LinkedIn Engineering, please visit engineering.linkedin.com/blog.

Today, in the first episode of our Strata Data conference series, we’re joined by Shioulin Sam, Research Engineer with Cloudera Fast Forward Labs. Shioulin and I caught up to discuss the newest report to come out of CFFL, “Learning with Limited Label Data,” which explores active learning as a means to build applications requiring only a relatively small set of labeled data. We start our conversation with a review of active learning and some of the reasons why it’s recently become an interesting technology for folks building systems based on deep learning. We then discuss some of the differences between active learning approaches or implementations, and some of the common requirements of an active learning system. Finally, we touch on some packaged offerings in the marketplace that include active learning, including Amazon’s SageMaker Ground Truth, and review Shoulin’s tips for getting started with the technology. The complete show notes for this episode can be found at https://twimlai.com/talk/255. For more from the Strata Data conference series, visit twimlai.com/stratasf19. I want to send a quick thanks to our friends at Cloudera for their sponsorship of this series of podcasts from the Strata Data Conference, which they present along with O’Reilly Media. Cloudera’s long been a supporter of the podcast; in fact, they sponsored the very first episode of TWiML Talk, recorded back in 2016. Since that time Cloudera has continued to invest in and build out its platform, which already securely hosts huge volumes of enterprise data, to provide enterprise customers with a modern environment for machine learning and analytics that works both in the cloud as well as the data center. In addition, Cloudera Fast Forward Labs provides research and expert guidance that helps enterprises understand the realities of building with AI technologies without needing to hire an in-house research team. To learn more about what the company is up to and how they can help, visit Cloudera’s Machine Learning resource center at cloudera.com/ml.

Upcoming events: A Conversation with Haseeb Qureshi at Cloudflare on April 3, 2019 FindCollabs Hackathon at App Academy on April 6, 2019 Ben Lorica is the chief data scientist at O’Reilly Media and the program director of the Strata Data Conference. In his work, Ben spends time with people across the software industry, giving him The post Data with Ben Lorica appeared first on Software Engineering Daily.

Welcome to the Process Hacker News, your weekly roundup of useful news and updates from Process Hackers who have been guests on Hack the Process with M. David Green. This week we’ve got brave comedy, healthcare design, brand credibility, and more. For all the links, check out the show notes at http://www.hacktheprocess.com/brave-comedy-healthcare-design-brand-credibility-and-more-in-process-hacker-news/. Enjoy! Events New York, laugh until you drop at the first ever You’re So Brave Comedy Show with Nikki MacCallum and Sarah Cooper on January 31. The new Unprofessional Podcast hosted by Sarah also launched its first ever episode with Rob Haze, who tells the story of working at a chicken restaurant at an airport. For the month of January, the Voice Matters Workshop by Mike Massy is fully booked, but the workshop is still accepting registrations for February 11 to 13. Join Mike in Beirut, Lebanon to learn how to express your emotions through your voice. Cascade SF, founded by Andi Galpern has announced that they are partnering with O’Reilly Media for Strata Data Conference, an event that will gather top names in the data and business industry to speak about upcoming trends, tools, and technology. The conference happens from March 25 to 28 in San Francisco. Media In her newest podcast episode, Tara Hunt discusses how a new year calls for change, as brands and online marketing evolve with the times. Sasha Ariel Alston appeared on the Mind Over Matter Podcast to talk about her love for coding and how she managed to raise funds to publish her first book, Sasha Savvy Loves to Code. In the Mastery Series by Jay Wong, Jay teaches how to build brand credibility in four ways. If you want to set goals beyond work and parenting, and exercise a proper work-life balance, watch as Heather Chauvin suggests a strategy. On the In the Trenches Podcast with Tom Morkes, Mindvalley Teach co-founder Ajit Nawalkha speaks about switching mindsets and reframing a business. Engel Jones builds connections and tours the US through the power of interesting, twelve-minute conversations. Hear all about Engel’s podcasting journey on The Angles of Latitude Podcast. Writing Come read about the 2019 landing pages and web design trends you should know about! Rightmessage, created by Brennan Dunn is mentioned in this post. Recommended Resources On the IDEO U Podcast, Chris Waugh, former co-host of Tracy DeLuca‘s podcast and current Chief Innovation Officer of Sutter Health, gives his insights on how design can make healthcare more human. Shanley Kane, mentioned by Ashe Dryden during her Hack the Process interview, is coming out with a literary novel about the tech industry and it’s up for preorder now! Thanks for checking out this Process Hacker News update from Hack the Process. If you liked what you saw, please leave a comment to let us know what processes you’re hacking.

This is episode #38 of Custom Made and this week I’m joined again by James Utley, Senior Manager and Product Designer here at Dialexa. James is an experienced designer skilled in Information Design, Logo Design, User Experience, Branding & Identity, and Typography with a history of working in the information technology and services industry. James has joined me on previous episodes of Custom Made where he was discussing how to scale design across hundreds of products with Design Systems, how to navigate the politics of user research, and how to use lead design research to get to the “why” of your product. Be sure to check out those episodes once you have finished this one. Last week on Custom Made, I had Rowdy Howell on the show sharing some of the major themes that were being discussed at Strata Data Conference which he recently attended in New York. This week James had just returned from Barcelona where he attended the Service Design Days conference, and I managed to grab some time with him to hear some of the main topics being discussed there. During this weeks episode, we explore a range of topics such as: - How service design brings humanity back into the products and services we create - Design that ignores the ecosystem is doomed to fail - Service designers need to have the ability to both zoom in and out of the experience, and how sometimes you need to go slow to move fast - And how our work should shape the tools we utilize, rather than letting the tools shape the work Be sure to check out the show notes at dialexa.com for this episode where I will include links to details on the Service Design Days conference. Be sure to tweet at me (https://twitter.com/dougplatts) and let me know what you think of the show. Follow Dialexa on: Instagram: https://www.instagram.com/dialexa/ Facebook: https://www.facebook.com/dialexa/ LinkedIn: https://www.linkedin.com/company/dialexa Soundcloud: https://soundcloud.com/custom-made-dialexa iTunes: https://itunes.apple.com/us/podcast/custom-made/id1332213517?mt=2 Player.fm: https://player.fm/series/custom-made Overcast: https://overcast.fm/itunes1332213517/custom-made Twitter: https://twitter.com/dialexa Medium: https://medium.com/back-to-the-napkin Podcast: https://by.dialexa.com/topic/custom-made YouTube: https://www.youtube.com/c/Dialexa Subscribe to our weekly newsletter for our latest content and top weekly reads here: https://by.dialexa.com/newsletter-signup

In this, the final episode of our Strata Data Conference series, we’re joined by Zachary Hanif, Director of Machine Learning at Capital One’s Center for Machine Learning. Zach led a session at Strata called “Network effects: Working with modern graph analytic systems,” which we had a great chat about back in New York. We start our discussion with a look at the role of graph analytics in the machine learning toolkit, including some important application areas for graph-based systems. We continue with an overview of the different ways to implement graph analytics, with a particular emphasis on the emerging role of what he calls graphical processing engines which excel at handling large datasets. We also discuss the relationship between these kinds of systems and probabilistic graphical models, graphical embedding models, and graph convolutional networks in deep learning. The complete show notes for this episode can be found at twimlai.com/talk/188. For more information on the Strata Data Conference series, visit twimlai.com/stratany2018.

Hey, everybody, this is Doug Platts and welcome to Custom Made. If you this is your first time listening be sure to hit subscribe on Apple Podcasts, Soundcloud, and everywhere else you listen to Custom Made to get our latest episodes every Sunday. This is episode #37 of Custom Made and this week I’m joined again by Rowdy Howell, Senior Data Engineer here at Dialexa. Rowdy has joined me previously on Custom Made where he was discussing the various challenges enterprise organizations have when it comes to data. When you have finished with this episode, be sure to check out episode #34 to hear more about draining your organization’s data swamp. As a Senior Data Engineer here at Dialexa, Rowdy has helped solve complicated problems using machine learning models, designed and deployed data streaming architectures, and pushed the capabilities of the data team here. This week Rowdy and myself are discussing some of the major trends being discussed at the Strata Data Conference which Rowdy recently attended in New York. Presented by O’Reilly and Cloudera, the Strata Data Conference brings together big data, cutting-edge data science, and new business fundamentals into a three-day conference that offers a deep dive into emerging techniques and technologies. During this weeks episode, we are exploring five major themes that were being discussed during this conference: 1) Decision makers playing an increasingly important role in data 2) Your data science team is fundamentally different than your agile solutions team 3) Many businesses scenarios can’t accept black box models - interpretability on the rise 4) More and more companies looking towards fast data as technology integration improves 5) AI ethics becoming a hot topic now to prevent murky waters when the tech arrives Be sure to check out the show notes for this episode where I will include links to details on the Strata Data Conference and some of the keynotes we discuss on today’s episode. Be sure to tweet at me (https://twitter.com/dougplatts) and let me know what you think of the show. Follow Dialexa on: Instagram: https://www.instagram.com/dialexa/ Facebook: https://www.facebook.com/dialexa/ LinkedIn: https://www.linkedin.com/company/dialexa Soundcloud: https://soundcloud.com/custom-made-dialexa iTunes: https://itunes.apple.com/us/podcast/custom-made/id1332213517?mt=2 Player.fm: https://player.fm/series/custom-made Overcast: https://overcast.fm/itunes1332213517/custom-made Twitter: https://twitter.com/dialexa Medium: https://medium.com/back-to-the-napkin Podcast: https://by.dialexa.com/topic/custom-made YouTube: https://www.youtube.com/c/Dialexa Subscribe to our weekly newsletter for our latest content and top weekly reads here: https://by.dialexa.com/newsletter-signup

I talk to Peter Kim at the Strata Data Conference about the buzz around two big announcements.

In the second of 2 episodes between Chief Whaler George and Account Strategist Whaler Olivia, we talk about (taco-bout?) our recent conference adventures, wrapping up with George's time at Strata Data Conference in San José (where our Design Whaler Ann presented on Machine Learning and A/B Testing). Much like SXSW, tacos were had.