Ruric Inc. – Embracing Tomorrow's Technology Today

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Ruric Inc.
Georgia – 770-947-5849
Tennessee – 423-837-3662
www.ruricit.com

Getting Started with Watson Studio

IBM Watson Studio can increase your team's efficiency at creating and implementing Machine learning and deep learning solutions.

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Data Science, Machine Learning and AI

Data science isn’t just about technology and cool tools, it’s a people problem: different skills, different backgrounds, different roles that need to work together on a single project.

As more businesses become data-driven, the shortage of skilled data scientists coupled with the rapidly increasing volume and velocity of data makes it seem like an impossible task. Line-of-business teams are finding themselves needing to speak data and taking into their own hands some of the data science tasks to meet their needs.

To tackle these data science challenges, companies need tools that empower those who are closest to the business problem, even non-technical skillsets and roles. At the same time, technical data scientists, closest to the data, want to have the choice and flexibility to use the latest tools, languages, frameworks, and libraries.

IBM Watson Studio offers the broadest data science toolset in one enterprise-grade platform for both visual and programmatic data science. It includes a portfolio of data science products like IBM SPSS Modeler, IBM Decision Optimization (CPLEX), etc. that offer both data scientists and LoB data professionals the ability to work together seamlessly. They can leverage multiple data science approaches ― both visual and programmatic ― ensuring that more people are participating across the organization to drive innovation faster.

Put the Power of AI and Data to Work for Your Business

This solution brief features how to get started and build your data science practice on IBM Watson Studio.

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Additional Resources

The Data Science Lifecycle
Machine Learning for Dummies
Modern Data Science: Best Practices for Predictive Analytics
IBM Watson Studio: Build and Train AI Models in One Integrated Environment

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