Erin Mikail Staples
developer advocate, community human, tech educator, comedian
Brooklyn, New York, United States
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Erin Mikail Staples is a very online individual passionate about facilitating better connections online and off. She’s forever thinking about how we can communicate, educate and elevate others through collaborative experiences.
Currently, Erin is a Senior Developer Community Advocate at Label Studio. At Label Studio — she empowers the open source community through education and advocacy efforts. Outside of her day job, Erin is a comedian, graduate technical advisor, content creator, triathlete, avid reader, and dog parent.
Most importantly, she believes in the power of being unabashedly "into things" and works to help friends, strangers, colleagues, community builders, students, and whoever else might cross her path find their thing.
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Topics
Without Open Data, there is no Ethical Machine Learning
Machine learning has experienced an explosion of popularity in recent years, and even more so in recent months. In response, companies including but not limited to Reddit, Twitter, and Snapchat have all closed off, restricted access, or made headlines for how “open” they are with data to train large generative models.
Managing large open datasets is often a thankless act — but it’s one that we must invest in if we truly want to prioritize a future that includes ethical machine learning. In this talk, we’ll explore the role open data plays in machine learning, why it’s concerning to see organizations close access to their API, the cost/benefits institutions and individuals run when they open their data, and — most importantly — we’ll walk through different resources, projects, and opportunities for individuals to direct us to a better future at this current juncture in open data and machine learning.
From Experimentation to Implementation; Putting Insights into practice without hesitation.
It is 2024, and we have more calls to be data-driven, and more pressure to execute than ever before. But how do you ensure that you’re executing those insights in a way that actually makes sense to your internal engineering organization?
In this talk, we’ll explore the road to building successful product insights and how to build a culture and active practice of experimentation within your technical teams. We’ll go over understanding the difference between testing, analytics, and experimentation, building safeguards that allow you to experiment without added delays, and how to measure the value added to your organization from these insights. Attendees of all skill levels will better understand how to set up and interpret an experiment from an engineering perspective, execute an experiment's results efficiently, and communicate their work to colleagues and stakeholders.
Once we’ve covered how to build a practice of experimentation, we’ll go over how to take these insights and move them into active development. Lastly, we’ll cover how to build a case for this work for key stakeholders and decision-makers and explore how to build sustainably and more efficiently through experimentation.
Erin Mikail Staples
developer advocate, community human, tech educator, comedian
Brooklyn, New York, United States
Actions
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