Skip to content Skip to sidebar Skip to footer

Customer Solutions

Dialog Axiata made use of Amazon SageMaker to boost the scale of ML models in production through AI Factory and succeeded in decreasing customer turnover in a span of three months.

Sri Lanka's Dialog Axiata provides telecommunications services to the majority of Sri Lanka, with over 17 million subscribers, which comprises 57% of the Sri Lankan mobile market. The company has many facets, including home broadband, payment platforms, and other fintech services. In a competitive market with high user churn rates, Dialog Axiata needed a way…

Read More

Innovating big language model training with Arcee and AWS Trainium

Arcee, an artificial intelligence (AI) company, has made strides in optimizing the training of Large Language Models (LLMs) using continual pre-training (CPT) and model merging strategies. Its advancements are particularly significant in niche fields like medicine, law, and finance. The process was expedited by its partnership with AWS Trainium, a cloud platform that provides affordable…

Read More

Transforming large language model training with Arcee and AWS Trainium.

Large Language Models (LLMs) have garnered attention recently due to their potential for enhancing a range of industries. At Arcee, the focus is on improving the domain adaptation of LLMs tailored to their client's needs. Arcee has introduced novel techniques for continual pre-training (CPT) and model merging, significantly advancing LLM training efficiency. These strategies have…

Read More

Construct a dynamic learning pipeline for auto-labelling of photos using AWS services.

Veoneer, a global leader in automotive electronic safety systems, collaborated with Amazon to develop an active learning pipeline for in-cabin sensing. Collaborating with Amazon's Worldwide Specialist Organization and the Generative AI Innovation Centre, they were able to cut costs by 90% and speed up the annotation process from weeks to hours. In-cabin sensing uses cameras, radar,…

Read More

Utilizing Amazon SageMaker’s geospatial capabilities for the comprehension and forecast of urban heat islands at Gramener.

Gramener, a Straive Company, has developed GeoBox, a solution that employs spatial data and advanced modeling techniques to understand and mitigate the impacts of urban heat islands (UHIs). UHIs, areas within cities that register significantly higher temperatures than rural areas, can lead to a variety of environmental and health issues including increased energy consumption, poor…

Read More

Nielsen Sports has recorded a 75% decrease in video analysis costs thanks to the use of Amazon SageMaker multi-model endpoints.

Nielsen Sports, a global leader in audience insights, data, and analytics, has recently reduced operational and financial cost by 75% through modernizing its system, with the use of Amazon SageMaker multi-model endpoints (MMEs). This system involved a vast number of machine learning models in production. Nielsen Sports' technology uses artificial intelligence, particularly computer vision, to track…

Read More