Dataiku at AWS re:Invent 2022

How AI and ML unlock insights for financial services teams

Everyday AWS and Dataiku, the world’s leading platform for AI, help organizations in the financial services industry transform their businesses to better move, forecast and regulate money in a market where customers have increasingly more choices.

Without overhauling cloud infrastructure or traversing IT processes, organizations – like yours – are able to reduce risk, increase revenue, gain efficiencies, and secure a competitive edge with a data-driven proactive approach. 

In this session, we will explore how to upskill non-technical employees with Dataiku to analyze billions of daily market events, while ensuring accuracy, transparency, and building trust to maintain your position as a market leader in the regulatory space.

Come by Hall B, Expo, Lightning Theater 2, Booth #3543 to learn more!

• Dataiku enables users to ingest and manipulate a wide variety of data through Athena, Redshift, and more, from the AWS ecosystem and beyond.
• Dataiku empowers analytics teams to extend data science collaboration through integrations with Amazon Sagemaker.

Highlights: 

• Take full advantage of your investment in the AWS platform with Dataiku's unique pushdown to Amazon's storage and compute.
• Empower more users to clean and enrich data and build advanced data pipelines and machine learning models in a visual interface.
• Accelerate deployment on AWS using Dataiku's cloud stack accelerator to get up and running quickly or skip installation and maintenance processes with a fully managed service hosted and managed by Dataiku.

Dataiku is the world’s leading platform for Everyday AI, systemizing the use of data for exceptional business results. Organizations that use Dataiku elevate their people (whether technical and working in code or on the business side and low- or no-code) to extraordinary, arming them with the ability to make better day-to-day decisions with data. More than 450 companies worldwide use Dataiku to systemize their use of data and AI, driving diverse use cases from fraud detection to customer churn prevention, predictive maintenance to supply chain optimization, and everything in between.