Dataiku 7 Learn all the ins and outs of the new features introduced in Dataiku 7, including interactive visual statistics, Git for smoother collaboration, and individual prediction explanations. Learn all the ins and outs of the new features introduced in Dataiku 7, including interactive visual statistics, Git for smoother collaboration, and individual prediction explanations.
Data Science For Supply Chain ft. JTI & Microsoft During this webinar, Japan Tobacco International (JTI) will share insights on how data science improved their company’s logistics and stock optimization and how this plays a role in the success of their overall organization.
How to Process Tons of Data for Cheap with Spark + Kubernetes If you like Spark for processing big data and Kubernetes for scaling and managing containers but you haven’t run Spark on Kubernetes yet, this is the webinar for you.
Your Path to NLP Mastery With Dataiku DSS This webinar will show you how with one single tool you can go from raw data to a fully operationalized NLP model, using the Dataiku DSS NLP features and plugins.
Using NLP to Find the Internet’s Favorite Recipes Want to judge whether your recipe will be a hit? Or in general, what user-generated content is likely to lead to high engagement?
How to Make the Right Decision When Buying Data Science Software As enterprises accelerate their investments in data science capabilities, they often find it challenging to build and manage the rapidly evolving technologies necessary for their teams.
Defect Detection: How APM Is Using Dataiku to Bring Workers Home Safe In this Dataiku Community webinar, see how Atlantic Plant Maintenance use Dataiku to keep their workers safe through defect detection, by joining together data from various sources, and building a machine learning algorithm to predict injuries before they occur.
The Path to Enterprise AI: Tales From the Field Enterprise AI is a target state where every business process is AI-augmented and every employee is an AI beneficiary. Is that really attainable?
How to Reduce Data Labeling Costs (+ Increase Data Quality) With Active Learning Uncover the importance of the active learning technique and how it can be used to lower the cost of data labeling necessary to reach a given model’s accuracy.
Leveraging Marketing Data in the Sports & Entertainment World In this Dataiku Community virtual event, Thierry de Reus, Head of Technology at Fanalists, shares how his team connects, centralizes, and enriches fan data using Dataiku DSS to create relevant and personalized fan experiences and improve marketing activities.
The Buck Stops Here: Creating Systems of Accountability for Responsible AI Discover how to integrate responsible AI into your organization’s existing AI life cycle and mitigate the risks of misuse and unintended consequences.
Data Quality: AI Ups the Ante | Dataiku x GigaOm Any sound data science pipeline prioritizes gathering clean, trusted, and accessible data before diving into a machine learning project. Ensuring quality data also inspires credibility and promotes adoption of data-driven practices.