Building and scaling AI systems quickly is becoming increasingly critical in organizations’ ability to compete and grow. AI developers face some common challenges in scaling AI including building efficient data and AI infrastructure, acquiring quality datasets, developing high performing trustable models, and deploying scalable inference engines in production. Rapid deployment expectations only adds to those challenges and forces faster AI development cycles. During this talk, we will cover how developers can overcome those challenges and accelerate AI development cycles by using the tools and framework optimizations that are part of Intel’s AI software portfolio. You can also learn more about Intel’s partnership with Accenture to develop and deliver AI reference kits that help you solve domain-specific business problems across healthcare, manufacturing, retail, and more.