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6pm | Wed 10th August
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Data & Analytics Wednesday is an informal, monthly gathering of people in the data and analytics, marketing and optimisation community that happens in cities all around the world. Formerly known as Web Analytics Wednesday Sydney, we've changed to Data & Analytics Wednesday Sydney to reflect our growth since we began in 2013 - and to better represent the diversity of the topics we explore at our meetup.
We meet every second Wednesday of the month to hear talks on what's happening in the data and analytics space, with plenty of time for open discussion and networking. Plus there's free drinks!
Upcoming talksThis Month's Talks MLOps and Ethical AI: Two Sides of the Same Coin Colleen Chen, Solutions Engineer, Dataiku MLOps practices help organisations observe Ethical AI standards by continuously de-risking and monitoring AI projects. This talk will cover what MLOps is and how it translates Ethical AI aspirations into practice for data science professionals. From Data Services to Data Product Moe Kiss, Marketing & Engagement Data Lead, Canva What has kept Moe up at night is thinking about how the data team add value to the business and whether that is communicated well. Moe shares her experience in shifting the team from answering tickets in an endless Jira queue, to scaling for recurring problems through a data product approach. She discusses how we need to shift the way we think about value and move from data as a service to building data products that serve multiple business users. Moe will cover the first steps, the gotchas and how to test this approach in your business. |
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Legends of DAW
We have amazing sponsors who fund our venue and bar tab and are also just all-round legends. These great companies support our community, so check them out.
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Connect with usGive a talkGot something you want the community to know?
Something bugging you about how our industry does things? Found a cool thing you're dying to share? Do a talk! Get in touch with us using the following form. Speakers receive kudos and exposure to a diverse community of data enthusiasts. |
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