AWS Machine Learning Blog

Category: Artificial Intelligence

Integrate Amazon SageMaker Data Wrangler with MLOps workflows

As enterprises move from running ad hoc machine learning (ML) models to using AI/ML to transform their business at scale, the adoption of ML Operations (MLOps) becomes inevitable. As shown in the following figure, the ML lifecycle begins with framing a business problem as an ML use case followed by a series of phases, including […]

Predict shipment ETA with no-code machine learning using Amazon SageMaker Canvas

Logistics and transportation companies track ETA (estimated time of arrival), which is a key metric for their business. Their downstream supply chain activities are planned based on this metric. However, delays often occur, and the ETA might differ from the product’s or shipment’s actual time of arrival (ATA), for instance due to shipping distance or […]

Developing advanced machine learning systems at Trumid with the Deep Graph Library for Knowledge Embedding

This is a guest post co-written with Mutisya Ndunda from Trumid. Like many industries, the corporate bond market doesn’t lend itself to a one-size-fits-all approach. It’s vast, liquidity is fragmented, and institutional clients demand solutions tailored to their specific needs. Advances in AI and machine learning (ML) can be employed to improve the customer experience, […]

Organize your machine learning journey with Amazon SageMaker Experiments and Amazon SageMaker Pipelines

The process of building a machine learning (ML) model is iterative until you find the candidate model that is performing well and is ready to be deployed. As data scientists iterate through that process, they need a reliable method to easily track experiments to understand how each model version was built and how it performed. […]

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Build taxonomy-based contextual targeting using AWS Media Intelligence and Hugging Face BERT

As new data privacy regulations like GDPR (General Data Protection Regulation, 2017) have come into effect, customers are under increased pressure to monetize media assets while abiding by the new rules. Monetizing media while respecting privacy regulations requires the ability to automatically extract granular metadata from assets like text, images, video, and audio files at […]

Localize content into multiple languages using AWS machine learning services

Over the last few years, online education platforms have seen an increase in adoption of and an uptick in demand for video-based learnings because it offers an effective medium to engage learners. To expand to international markets and address a culturally and linguistically diverse population, businesses are also looking at diversifying their learning offerings by […]

Identify rooftop solar panels from satellite imagery using Amazon Rekognition Custom Labels

Renewable resources like sunlight provide a sustainable and carbon neutral mechanism to generate power. Governments in many countries are providing incentives and subsidies to households to install solar panels as part of small-scale renewable energy schemes. This has created a huge demand for solar panels. Reaching out to potential customers at the right time, through […]

Generate synchronized closed captions and audio using the Amazon Polly subtitle generator

Amazon Polly, an AI generated text-to-speech service, enables you to automate and scale your interactive voice solutions, helping to improve productivity and reduce costs. As our customers continue to use Amazon Polly for its rich set of features and ease of use, we have observed a demand for the ability to simultaneously generate synchronized audio […]

Accelerate your identity verification projects using AWS Amplify and Amazon Rekognition sample implementations

Amazon Rekognition allows you to mitigate fraudulent attacks and minimize onboarding friction for legitimate customers through a streamlined identity verification process. This can result in an increase in customer trust and safety. Key capabilities of this solution include: Register a new user using a selfie Register a new user after face match against an ID […]