October 6, 2022
The key to AI success is probably right under your nose
Martin Szugat, Founder & Managing Director, Datentreiber GmbH
Relying solely on coding data scientists to handle your company’s predictive analytics projects is a recipe for failure. No company in the
world can hire enough data scientists to support all their use cases, and leaving domain experts out of the process doesn’t just overload your analytics teams—it also ignores critical business context.
Join RapidMiner Account Executive Friedrich Rath to learn:
· How your organization can leverage the right technology and approach to get non-coding domain experts contributing to AI projects
· Why upskilling your people is the key to executing faster and building truly differentiated data-driven solutions
· How data scientists and domain experts can work together to bring more models into production throughout the business and scale the impact of AI enterprise-wide
RapidMiner was started by PhD data scientists who understood that the power of AI shouldn’t be reserved for…well, PhD data scientists. RapidMiner is a code-optional data science platform that can support
anyone in your organization across the full analytics lifecycle—everything from making sense of your data to building a model with it to ultimately deploying an AI-powered app to drive better decision-making.