Starting from $0.13 to $0.13/hr for software + AWS usage fees
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Linux/Unix, Ubuntu 22.04 - 64-bit Amazon Machine Image (AMI)
As you’ve advanced the development of your Large Language Models or other generative models, have you run into infrastructure limitations? Scaling generative AI can be resource-intensive, requiring significant compute capacity and advanced data architecture. Mission Cloud has worked with several...
Manufacturing companies face significant challenges in meeting production demand due to uncertainty in the supply chain. The supply chain is a complex network of suppliers, manufacturers, distributors, and retailers that work together to deliver products and services to customers. Any disruption or...
Early detection of arrhythmia is crucial as it could be life threatening while showing no symptoms. This solution helps in classifying each peak in the electrocardiogram waveform data (even from multiple leads) into the following categories: Normal, Premature ventricular contraction, Paced beat,...
Algorithm - Fulfilled on Amazon SageMaker
Companies are facing ever increasing data challenges in terms of availability, volume and sources, as they have to rapidly deliver data-driven value to end-customers. For many organizations, this means that they have to shift from a legacy system to a modernized environment, or reassess their...
Our Generative AI Strategy Accelerator is executed using proven frameworks and consulting tools that enables us to understand an organisation’s current state of Generative AI readiness and provide them with a roadmap so they can establish and realise a vision for how Generative AI will operate...
It All Starts with Data Preprocessing The story starts here: good data inputs make for good model outputs. Our Advanced AI Data Trainers do what tech can’t with thoughtful data preparation that supports users building machine learning models on the Amazon SageMaker platform. We have the capacity to...
Background Digital transformation through AI/ML adoption can be challenging for organizations to put into production due to complex processes. Digital Alpha's solutions streamline management of model selection, deployment, and monitoring, enabling businesses to automate their ML pipelines on AWS...
Prosper Insights & Analytics' propensity model predicts the probability that a U.S. adult consumer plans to buy Flowers for Valentine’s Day. Based on a set of basic demographics, the model identifies individuals who are likely to be Flower Buyers. The model was trained with data from Prosper's...
Model Package - Fulfilled on Amazon SageMaker
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