Discover how to apply Neural Machine Transation to simplify Social Media content creation. This demo illustrates how the production quality deployment of state of the art ML translations models can be accomplished via a Sagemaker based architecture. This translation capability is demonstrated on social media data pulled directly from Twitter. The inclusion of advanced metrics which monitor translation confidence, together with the hybrid CPU/GPU architecture necessary to support them, are showcased.

In addition, we will show how to model different business contexts using an accelerated computing approach and our calculation engine: MegaQUBO. MegaQUBO is a ready-to-use software component that enables faster delivery of real business projects where Combinatory Optimization is needed. This Quantum-inspired solver can manage complex optimization models in an extraordinarily short computational time, exploiting the power of Quantum-inspired Optimization to provide high-quality solutions. Available both as a cloud-based and on-premises solution, it currently runs on GPUs production environments, and it has been tested extensively to run on QPUs.