Randi R. Ludwig
@RandiRLudwig
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Ex-Astronomer turned data scientist. Into STEM education. Scifi nut.
Austin, TX
Joined June 2016
đź”¶ Up next: Panel moderated via @RandiRLudwig Key Trends in #EnterpriseAI & ML to Monitor in 2024 with experts from @Dell @Enverus @Nokia, Methods+Mastery, & @Google. Future of #AI at #DSSATX!
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@awscloud @DataConnectConf If you think you can move to this model with the implementation of a data catalog, it’s like finding something on Amazon then having to drive to a factory & beg someone to sell it to you! You need the data pipelines and environments for people to take that data & build on it!
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@awscloud @DataConnectConf “People do what it’s easy for them to do & what they’re compensated to do… fund orgs based on reuse of their data!” Kathy Koontz @awscloud @DataConnectConf
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@awscloud @DataConnectConf From a centralized or fully decentralized, siloed, approach —> build a federated data community! Kathy Koontz @awscloud @DataConnectConf
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@awscloud @DataConnectConf The federated model is the way to succeed with the technology we now have available! Kathy Koontz @awscloud @DataConnectConf
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@awscloud @DataConnectConf “No more big PMO annual projects where we can’t take advantage of changes in environment, learnings of the new work we’ve done.” “Data warehouses have a place, but they cannot be the center of your data strategy!” Kathy Koontz, @awscloud @DataConnectConf
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@awscloud @DataConnectConf “It’s so common for organizations to pivot to different data tech stacks, but not shift the processes and roles supporting that data. Then they don’t capitalize on the value & promise of the change!” Kathy Koontz, @awscloud @DataConnectConf
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@awscloud @DataConnectConf “You need to blow up centralized data governance. If you drive policy from where data is collected, instead of where it’s used, then you’re always going to skew to minimizing risk and lose value & reuse!” Kathy Koontz, @awscloud @DataConnectConf
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“Don’t push data ownership to IT. Everyone should own the data and the processes to capitalize on the residue of their business processes!” - Kathy Koontz @awscloud @DataConnectConf
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“Build in feedback loops for your data products, so you can solve the table stakes problems and build up to the really industry-changing work that we all know we could do.” -Kathy Koontz, AWS @DataConnectConf
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@dbiswal3 @DataConnectConf @dbiswal3 @DataConnectConf on the value of building trust in #ai #ml systems.
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@dbiswal3 @DataConnectConf Different angles for how data can be reconstructed to infer private info if you don’t add noise. @dbiswal3 @DataConnectConf
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@dbiswal3 @DataConnectConf You can add noise at different levels, so you can have privacy at different degrees. Either perturb the raw data itself, or perturb results derived from the raw data. @dbiswal3 @DataConnectConf
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“Low epsilon is like two friends whispering in the library. Translates to high privacy (high noise).” @dbiswal3 @DataConnectConf
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How differential privacy effects likelihood of opting in for data collection @dbiswal3 @DataConnectConf
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@WellsFargo @DataConnectConf “Think big, start small, go fast!” -Jasmine de Gaia @wellsfargo @DataConnectConf 💙💙💙
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