CDW Canada Tech Talks

Artificial Intelligence in the Hybrid Cloud

Episode Summary

In this episode, KJ Burke and Michael Traves from CDW and Allen Clingerman from Dell Technologies discuss what technology an organization needs to support AI programs, how to leverage reference architectures and data science pipelines, where to run various types of workloads, and the cost vs complexity of running AI on-prem and in the cloud.

Episode Notes

• Four technologies that you need to support AI workloads
• Whether it makes sense to move AI data into the cloud or to run certain workloads on premises
• Why processes need to change to support AI programs and what IT teams can do from an infrastructure standpoint to support their data science team
• The three different levels of maturity for organizations that are adopting AI, and how Dell Technologies can help
• Functional use cases for AI across healthcare, retail and customer service
• How to use real-time data collected at the edge and sensor data to support AI programs
• Structured and unstructured data sets and how to gather insights around them
• How pervasive do you want to make artificial intelligence in your organization, and where is that data going to live?
• The importance of public cloud usage models, and keeping track of costs over time
• The state of AI now and in the future