Podcast appearances and mentions of angela bassa

Every consumer is now aware, at some level, that they are constantly generating data simply by moving through the world. And, every organization that puts physical devices or digital experiences into the paths of consumers has to make decisions about what data they collect, how they manage it, and what they do with it (both the immediate plans and what unknown plans may emerge in the distant future). The questions, decisions, and mindsets that this reality brings into play are just one big gray area after another. Angela Bassa grapples with these issues on a daily basis both professionally and personally, so we sat down with her for a lively and thought-provoking discussion on the subject. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

Angela Bassa é Diretora Senior de Ciência de dados e Analytics na Irobot e conselheira na MIRAH. Links Twitter da Angela Data Helpers MIT Livros Working backwards The Charisma Myth Filmes Bridgerton The Gilded Age OsProgramadores Site do OsProgramadores Grupo do OsProgramadores no Telegram Canal do Youtube do OsProgramadores Twitter do Marcelo Pinheiro

Angela Bassa is the director of data science and head of data science and machine learning at iRobot, a technology company focused on robotics (you might have clean floors thanks to a Roomba). Prior to joining iRobot, Angela wore several different hats, including working as a financial analyst at Morgan Stanley, the senior manager of big data analytics and platform engineering at EnerNOC, and even a scuba instructor in the U.S. Virgin Islands. Join Angela and I as we discuss the role data science plays in robotics and explore: Why Angela doesn’t believe in a division between technical and non-technical skill Why Angela came to iRobot and her mission What data breadcrumbs are and what you should know about them The skill Angela believes matters most when turning data science into a producer of decision support Why the last mile of the UX is often way longer than one mile The critical role expectation management plays in data science, how Angela handles delivering surprise findings to the business, and the marketing skill she taps to help her build trust Resources and Links Twitter: @AngeBassa Angela’s Website iRobot Designing for Analytics Seminar Quotes from Today's Episode “Because these tools that we use sometimes can be quite sophisticated, it's really easy to use very complicated jargon to impart credibility onto results that perhaps aren't merited. I like to call that math-washing the result.” — Angela “Our mandate is to make sure that we are making the best decisions—that we are informing strategy rather than just believing certain bits of institutional knowledge or anecdotes or trends. We can actually sort of demonstrate and test those hypotheses with the data that is available to us. And so we can make much better informed decisions and, hopefully, less risky ones.” — Angela “Data alone isn't the ground truth. Data isn't the thing that we should be reacting to. Data are artifacts. They're breadcrumbs that help us reconstruct what might have happened.” — Angela [When getting somebody to trust the data science work], I don't think the trust comes from bringing someone along during the actual timeline. I think it has more to do with bringing someone along with the narrative.—Angela “It sounds like you've created a nice dependency for your data science team. You’re seen as a strategic partner as opposed to being off in the corner doing cryptic work that people can't understand.” — Brian “When I talk to data scientists and leaders, they often talk about how technical skills are very easy to measure. You can see them on paper, you can get them in the interview. But there are these other skills that are required to do effective work and create value.” — Brian Transcript Brian: Welcome back to Experiencing Data. Brian here, of course, and I'm happy to have the Head of Data Science, Data Engineering, and Machine Learning at iRobot on the line, Angela Bassa. How are you? Angela: I am great, Brian. How are you? Brian: I'm doing great. What's shaking today? You're up in northern Massachusetts, outside of Boston, is that correct? Angela: Yep, just outside of Boston. Brian: Yes. You're in the leaf, the leaf zone, probably. Angela: It's gorgeous out! We're in peak foliage. It's really, really quite gorgeous out. Brian: 

Today we’re joined by Angela Bassa, Director of Data Science at iRobot. In our conversation, Angela and I discuss: • iRobot's re-architecture, and a look at the evolution of iRobot. • Where iRobot gets its data from and how they taxonomize data science. • The platforms and processes that have been put into place to support delivering models in production. •The role of DevOps in bringing these various platforms together, and much more! The complete show notes can be found at twimlai.com/talk/294. Check out the recently released speaker list for TWIMLcon: AI Platforms now! twimlcon.com/speakers.

Our guest on this episode, Angela Bassa, hails from one of the most innovative robotics companies on the planet, the aptly named iRobot - the creators of the iconic Roomba vacuum robot. Angela is the Director of Data Science at iRobot and talks to us about how iRobot's recent product announcements reveal more than just product innovation. Their new iRobot 2.0 platform is a new approach to how they build robots, software, and also the place of data science at iRobot.

In this episode of DataFramed, the DataCamp podcast, Hugo speaks with Angela Bassa about managing data science teams. Angela is Director of Data Science at iRobot, where she leads the team through development of machine learning algorithms, sentiment analysis, and anomaly detection processes. iRobot are the makers of consumer robots that we all know and love, like the Roomba, and the Braava which are, respectively, a robotic vacuum cleaner and a robotic mop. Angela will talk about how to get into data science management, the most important strategies to ensure that your data science team delivers value to the organization, how to hire data scientists and key points to consider as your data science team grows over time, in addition to the types of trade-offs you need to make as a data science manager and how you make the right ones. Along the way, you’ll see why a former marine biologist has the skills and ways of thinking to be a super data scientist at a company like iRobot and you’ll also see the importance of throwing data analysis parties.LINKS FROM THE SHOWFROM THE INTERVIEWAngela on TwitterHBR NewslettersiRobot CareersData Science InternshipFROM THE SEGMENTSCorrecting Data Science Misconceptions (w/ Heather Nolis ~18:45)Using docker to deploy an R plumber API (By Jonathon Nolis)Enterprise Web Services with Neural Networks Using R and TensorFlow (By Jonathan Nolis and Heather Nolis)Project of the Month (w/ David Venturi ~38:45)Rise and Fall of Programming Languages (R Project by David Robinson)Learn, Practice, Apply! (By Ramnath Vaidyanathan)Apply to create a DataCamp project! Original music and sounds by The Sticks.

Hilary and Roger have a late-night discussion about JupyterCon, data analysis and decisions, and other deeper topics. Show Notes: JupyterCon: https://conferences.oreilly.com/jupyter/jup-ny Financial stability monitor: https://www.financialresearch.gov/financial-stability-monitor/ Catistician: https://twitter.com/ChelseaParlett/status/902581025175429120 Tyranny of Structurelessness: http://www.jofreeman.com/joreen/tyranny.htm Data Alone Isn’t Ground Truth (by Angela Bassa): https://medium.com/@angebassa/data-alone-isnt-ground-truth-9e733079dfd4 Support us through our Patreon page: https://www.patreon.com/NSSDeviations Roger on Twitter: https://twitter.com/rdpeng Hilary on Twitter: https://twitter.com/hspter Get the Not So Standard Deviations book: https://leanpub.com/conversationsondatascience/ Subscribe to the podcast on Apple Podcasts: https://itunes.apple.com/us/podcast/not-so-standard-deviations/id1040614570 Subscribe to the podcast on Google Play: https://play.google.com/music/listen?u=0#/ps/Izfnbx6tlruojkfrvhjfdj3nmna Find past episodes: http://nssdeviations.com Contact us at nssdeviations@gmail.com  

Angela Bassa is the Director of Data Science at iRobot. In this episode she sits down with Scott and demystifies the major concepts. Is this a new science and an old one? What's the traditional path for a Data Scientist - and is that the only path?