Dataiku, Pitch Data Innovation Night, Boston, Septembre 16th
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The document discusses how Dataiku aims to help data scientists focus on real problems by providing a ready-to-use data science studio platform. The platform offers visual and interactive data preparation tools for data cleaning, guided machine learning for non-ML experts, and production-ready models and insights. Dataiku was founded in 2013 to make data science accessible to anyone by handling real-life data challenges through a common and democratic data science environment.
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Dataiku, Pitch Data Innovation Night, Boston, Septembre 16th
- 1. DATA SCIENTIST is NOT a defined term This is not… a Data Scientist www.dataiku.com - @dataiku
- 3. DATA CLEANER
- 6. How can we HELP DATA SCIENTISTS to FOCUS on the REAL PROBLEMS ?
- 7. Pain points • Data preparation is time-consuming • Machine learning is hard to understand • Insights and models (almost) never reach production
- 8. Data Science Studio • A democratic & ready to use Data Science Studio to start innovating with data! Ready to Use Data Science Platform Common playground for innovation Accessible Statistics & Machine Learning for everyone Handle real-life data
- 9. Data Science Studio Visual and Interactive Data Preparation For Data Cleaners Guided Machine Learning For non Machine Learning Experts Production ready For Data Leak Fixers
- 10. Dataiku at a glance • Founded in 2013 by Data and Search Engine veterans • From “data” and “haïku” “data can be big solution would be small feel the hot wind” • 1 goal: make Data Science accessible to anyone! Contact: marc.batty@dataiku.com / @battymarc
Editor's Notes
- Good evening everyoneI’m Marc Batty cofounder of DATAIKUI would like to speak about Data Science tonight.Even though Data Scientist is a buzzword these days, almost nobody knows what they do!
- You may think about the Machine Learning expertHe is going to answer all your business questions and may be save the world.
- But we mostly see a lot of Data Cleaners, and there not quite happy about their jobs
- Or also Data Leak Fixer, you know when you have to do all the plumbing between all your databases and hadoop clusters.
- And even the Data Waiter, waiting for his endless hadoop job to finish, before getting the first insight on his data?
- So the question is …
- They all have in common :They spend to much time preparing their data to go from raw data to usable dataMachine learning is hard to understand if you don’t have a PHD in staticticsIn most companies, insights and models (almost) reach production because it’s hard to integrate all the required big data technologies.
- So at DATAIKU we built a Data Science Studio.It’s a ready to use Data Science platform with all the tools you need to create your Data Science Apps.It’s accessible so you don’t need to be an experienced Data Scientist to start building models.It’s a common playground for your team that can share datasets, models and insights.
- In our studio we’ve got a whole range of tools to help all the Data Scientists being more productive.Visual Data Preparation for Data Cleaners for instant feedbackGuided Machine Learning for non Machine Learning experts to quickly start building modelsProduction tools to integrate all the required Big Data technologies.Now Data Scientists can focus on being innovative and creative with their data.
- Dataiku has 1 goal : make Data Science accessible to anyone.I’ll be happy to continue this discussion and show you a demo after to this pitch so don’t hesitate to come see me.Thank you very much