Scale AI with Optimized, Domain-Specific Reference Kits

Data scientists and application developers face common challenges in scaling AI, including:

• Building efficient data and AI infrastructure
• Getting quality datasets
• Developing high-performing trustable models
• Deploying scalable inference engines in production

To address these challenges, Accenture* and Intel have combined efforts to create open source AI reference kits that democratize AI for domain-specific business problems across healthcare, manufacturing, retail, and more.

In this session, AI technology experts from Intel and Accenture:

• Discuss these new oneAPI-optimized kits—what they are, why they matter, and how they help you accelerate AI development pipelines across enterprise-critical domains
• Delve into the first set of reference kits covering use cases: conversational AI chatbots, automated visual inspection for life sciences, and intelligent document analysis
• Showcase the kits via a demo

Learn more about existing and upcoming AI Reference Kits.

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.