Your Essential Dose of AI Updates & Use Cases

Your Essential Dose of AI Updates & Use Cases

Find the latest knowledge and news you need to elevate your data and analytics projects and make strategic decisions around AI innovation with confidence in the Dataiku Digest.

Palo Alto Networks: Infusing AI Into Business Operations???

Palo Alto Networks leverages AI across customer retention, escalation management, and marketing automation to drive operational excellence. Transparency and explainability in AI models have become key to building trust and fostering innovation within the company.

Explore How Palo Alto Leverages RAG for AI Success

Insights From 400 Senior AI Professionals on GenAI & More ??

Dataiku and Databricks surveyed 400 senior AI professionals from global companies to explore the integration of Generative AI into business operations. This report highlights GenAI’s transformative impact, revealing trends in investment, ROI, and the operational challenges companies face as they scale its use across industries.

Get the AI, Today Survey Report ?

Bayard: From SAS to Dataiku for a Modern Data Stack ??

Bayard, a French publishing company, migrated from SAS to Dataiku, cutting campaign build time by 42% and boosting productivity. This shift enabled their data team to focus on high-value projects and improve automation as well as governance.

Learn More About Why Bayard Made the Switch From SAS

Custom Labeling and Quality Control With Free-Text Labeling ??

Free-text labeling in Dataiku enhances data annotation by allowing users to create custom labels, improving flexibility and precision in AI models. This innovation ensures higher data quality, especially in fields like healthcare, where human expertise is crucial for refining model outputs and reducing errors.

Uncover the Power & Efficiency of Free-Text Annotation

"The strength of this tool is that it creates a community. Before this, we were not sharing findings or best practices. Now, we have made a habit of and set clear communication channels both within our data team and outside our team, with the larger organization." - Claire Utiel, Data & CRM, Bayard


要查看或添加评论,请登录

社区洞察

其他会员也浏览了