Scale AI with Six New Optimized, Domain-Specific Reference Kits
Scale AI with Six New Optimized, Domain-Specific Reference Kits
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Overview
Data-driven AI solutions have permeated nearly every domain. They are increasingly and necessarily incorporated into the workloads and infrastructures of a myriad of industries.
For this audience, that’s not new news.
But what continues to be new (or at least challenging) to many organizations is the sheer scale of skill and resources needed to successfully develop and deploy AI solutions that support both company and customers.
Welcome to the continuing webinar series focused on the next six trained AI reference kits from Intel and Accenture* (for a total of 22). The kits are built to help AI developers and data scientists do what they do so well. (Check out Part 1 and Part 2.) The new kits include resources for the industries of consumer products, energy and utilities, retail, and telecommunications.
Skill level: All
Get the AI Reference Kits
There are 22 AI reference kits, all free to download and use in your personal or professional coding endeavors. So, explore them all, download what seems useful, and then share the rest with your colleagues.
Featured Software
This webinar features key tools from Intel’s comprehensive AI software portfolio of tools and framework optimizations for end-to-end AI workflows:
- AI Tools—familiar Python* tools and frameworks to accelerate end-to-end data science and analytics pipelines.
- Intel® Distribution of OpenVINO™ toolkit—a full suite of development and deployment tools designed for quickly developing a wide range of computer vision applications.
Accelerate data science and AI pipelines-from preprocessing through machine learning-and provide interoperability for efficient model development.
Optimize models trained using popular frameworks like TensorFlow*, PyTorch*, and Caffe*, and deploy across a mix of Intel® hardware and environments.
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