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The videos from the #DataBS Conference have made it to YouTube! Over the coming days, we'll highlight sessisons from the event -- one post per talk. You can also sneak ahead by going straight to the YouTube playlist, here: www.youtube.com/playlist?lis...

Highlighting #DataBS Conf talks: Two talks actually took place _before_ the live event, as part of our preshow. In the first one, Krysta Chauncey, Ph.D. described collecting UX data for autonomous vehicles. There was a bit of a magic act involved: www.youtube.com/watch?v=0qel...

For the second #DataBS Conf preshow talk, Anindita Pattanayak (Enfold Proactive Health Trust) shared the team's journey to scrape, clean, and analyze court data: www.youtube.com/watch?v=Qbl7...

Highlighting #DataBS Conf talks: @randyau.com opened the live event by exploring how Data Behind the Scenes came about, reminding us that we can all find joy and make space. www.youtube.com/watch?v=5JCI...

Highlighting #DataBS Conf talks: Have you ever had to juggle 13k geospatial images of about 1GB apiece, dealing with coordinate systems and cleaning out watermarks? Krishna ( thechaoticneuron ) did, and he was kind enough to share his experience: www.youtube.com/watch?v=UyFA...

Highlighting #DataBS Conf talks: How can data tell you when a customer will cancel their service? Are you taking the hard route in figuring this out? And what does this have to do with butter? In other words ... Matthew Brandt talks about churn prediction: www.youtube.com/watch?v=i9DB...

Highlighting #DataBS Conf talks: That market research data looks good at first, but you sense that something's … off. Way off. From technical matters to cultural differences to people moving the goal posts … Ramona Daniel explains it all: www.youtube.com/watch?v=pSA6...

Highlighting #DataBS Conf talks: Reuters graphics journalist Prasanta Kumar Dutta shares his experience building Covid trackers in the early days of the pandemic. You know, when data sources were perfectly clean and available and ready for analysis. Right? Right? www.youtube.com/watch?v=FI2d...

Highlighting #DataBS Conf talks: It's good to speed things up, right? Not always! Data engineer Paul Rosenzweig sped up some processes, only to realize that the added speed came at a cost. www.youtube.com/watch?v=KbLV...

Highlighting #DataBS Conf talks: Your CEO _really_ thinks genAI is amazing, in spite of the headlines about AI mishaps. What's the deal? And what can you do about it? As @qethanm.bsky.social explains, it's all about sizing up the risk: www.youtube.com/watch?v=b9pG...

Highlighting #DataBS Conf talks: Has anyone tried to convince you that they're having a data emergency? They're probably not. According to @gecky.me data emergencies don't exist … except when they do: www.youtube.com/watch?v=kxSh...

Bonus – @gecky.me later offered this as an addendum to her talk:

Highlighting #DataBS Conf talks: For ~15 years companies have been very excited about data. Which is good! Until they heap a bunch of formatted-for-humans PDFs on your desk and expect you to work your magic. As @fctry2.bsky.social explains: www.youtube.com/watch?v=yo8k...

Highlighting #DataBS Conf talks: It's tough enough to draw information from raw data. Even tougher when the very questions you're trying to answer are not clear. Gabrielle Yang shares her process on moving from hazy business requests to meaningful insight: www.youtube.com/watch?v=SDb7...

Highlighting #DataBS Conf talks: When your job is all numbers and data, it's easy to lose sight of higher-order business concerns. Sometimes you need to dig deeper into stakeholder requests to get them what they actually need. Caleb Bowie shares his playbook: www.youtube.com/watch?v=N71X...

Highlighting #DataBS Conf talks: Who _are_ we, as data practitioners? What is it we actually _do_ ? @davidasboth.com hosts our late-night philosophy session, to explore the changing role of the data scientist in a world of AI: www.youtube.com/watch?v=uCR1...