Webinars

Watch (or rewatch) past webinars brought to you by Dataiku, the platform democratizing access to data and enabling enterprises to build their own path to AI.

3 Keys To Moving Toward White-Box, Explainable AI, by VentureBeat & Dataiku

White-box AI boosts transparency, creates more collaborative data science, and improves trust within businesses and with customers — and it’s getting a lot of attention. Join this live event by VentureBeat & Dataiku to learn how, and why, businesses need to move away from black-box systems to more explainable AI.

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AutoML Basics: What It Is and How to Leverage It

This webinar goes in-depth on what exactly AutoML is (and what it isn't) as well as why organizations need AutoML in order to succeed in the race to AI. In addition, it gives a small tase of Dataiku's AutoML philosophy and what features the platform presents.

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2020 Machine Learning Trends: A Look at Up-and-Coming Technology & Techniques

This technical discussion of what's to come in 2020 takes a closer look at the hottest topics in machine learning research, including: active learning and semi-supervised learning; reproducibility in ML; ...and much more!

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AI in 2020: The Architecture and the Infrastructure

AI hardware, both for fast training and effective inferencing, can be expensive, and its obsolescence cycles are quick. But the cloud, container technology, and smart software to orchestrate it all can help. Learn more about how to plan your AI roadmap, including infrastructure automation, with this webinar.

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2020 AI Trends in the Enterprise

This non-technical webinar will go in-depth on the trends that will dominate Enterprise AI for the decade, particularly when it comes to organizational changes in businesses.

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Dataiku 6: New Features & Functionality

Dataiku 6 helps organizations future-proof their path to Enterprise AI with more robust features for white-box AI, collaboration, and elasticity (including fully managed Kubernetes capabilities).

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Data Governance & AI: New Dimensions in Privacy & Compliance

This webinar walks through practicalities of governance in the age of AI, including governance “checkpoints” for data scientists; the relationship between data regulations, ethics, and AI; and making ML models compliant, both with government regulations and corporate policy.

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Machine Learning Basics: Algorithms Are Your Friend

Machine learning isn’t just for data scientists anymore. Join Dataiku Data Scientist Katie Gross as she outlines key machine learning terms and the applications of different algorithms with practical, real-world examples for beginners.

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Crash Course in Data Architecture

Data architecture is the foundation of every organization’s data strategy, and everyone can benefit from understanding the ways data moves between teams and flows into data projects to yield insights. Learn about the key architecture terms and different priorities regarding security and scalability in this crash course.

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