Getting Started with Artificial Intelligence

Business drivers & decisions you’ll need to make

Artificial intelligence technologies are designed to provide computers with human-like abilities of hearing, seeing, reasoning and learning. It’s becoming a must-have for science and business. But before implementing an AI solution, organizations need to have a clear understanding of the underlying technologies and processes, as well as the benefits and limitations of potential solutions.

Download this Cray-commissioned Tractica white paper, “Considerations for Getting Started with AI,” to find out what you need to know before, during and after deploying your own artificial intelligence solution. Tractica is a market intelligence firm that focuses on human interaction with technology.

This 20-page paper takes an in-depth look at the AI journey, including:

Business drivers
and competitive

Project metrics
and guidelines

Ownership and
levels of

It includes AI case studies in:

  • Oil & gas – locating new reserves

  • Automotive – object detection and recognition

  • Life sciences – drug compound discovery

  • Financial services – insurance

  • Consumer – customer recommendations


Explore related resources:

Related Resources

Cray and NVIDIA: Artificial Intelligence at Any Size

Artificial intelligence and, in particular, deep learning are rapidly transforming entire industries and scientific disciplines. We give you the tools and support to guide you to success whether you’re just starting out or ready for production AI.

Overview: Cray CS-Storm Cluster Supercomputer

The Cray CS-Storm cluster supercomputer is an integrated system ready to tackle machine learning and deep learning problems at production scale.

AI Readiness: Five Steps to Start Your Deep Learning Engines

Learn why and how companies should prepare to seize the benefits of artificial intelligence. In this webinar, Forrester VP and principal analyst Mike Gualtieri shares machine learning and deep learning examples that businesses are using today.

Must-Knows for Your Deep Learning Journey

What are the business and technical considerations on your path to deep learning maturity? With industry expertise and insights gathered from some of the world’s best problem solvers, learn from Cray about the systems, scale and metrics required for your deep learning journey.

The Next Step in Intelligent Computing: Machine Learning & Deep Learning

With HPC, machine learning and deep learning can bring new insights to how we solve everyday problems.

See All Resources