TIM for Data Scientists
In this mini-series, we explain how TIM helps to solve challenges for multiple business roles. This article illustrates how TIM solves the challenges data scientists are facing.
The Challenge: improving your productivity so you can focus on the most important tasks
It’s hard to recruit and retain data scientists these days. With a long list of potential AI use cases in your company, you may not be able to get the help you need to scale up the use of predictive analytics beyond a small number of projects.
TIM delivers scalable, automated, understandable AI
Learn more about TIM InstantML →
Provides you with timely, accurate forecasts that help avoid the costs associated with system imbalances, reduce system downtime and optimize maintenance cycles. Read more.
Automates the model generation process so you can create and update predictive models without being an AI expert. Read more.
Improves your productivity by eliminating repetitive modeling tasks and clarifying the rationale behind predictions with understandable AI.
Compute-efficient, secure and flexible deployment in Azure or AWS Cloud, on-premise or on the edge. Easy to integrate in with your existing databases, BI tools and enterprise applications. Read more.