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‎_community_stories/1.md

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title: 'How Outreach Productionizes PyTorch-based Hugging Face Transformers for NLP'
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ext_url: https://www.databricks.com/blog/2021/05/14/how-outreach-productionizes-pytorch-based-hugging-face-transformers-for-nlp.html
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date: May 14, 2021
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tags: ["Advertising & Marketing"]
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---
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At Outreach, a leading sales engagement platform, our data science team is a driving force behind our innovative product portfolio largely driven by deep learning and AI. We recently announced enhancements to the Outreach Insights feature, which is powered by the proprietary Buyer Sentiment deep learning model developed by the Outreach Data Science team. This model allows sales teams to deepen their understanding of customer sentiment through the analysis of email reply content, moving from just counting the reply rate to classification of the replier’s intent.

‎_community_stories/10.md

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title: 'Solliance makes headlines with cryptocurrency news analysis platform powered by Azure Machine Learning, PyTorch'
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ext_url: https://medium.com/pytorch/solliance-makes-headlines-with-cryptocurrency-news-analysis-platform-powered-by-azure-machine-52a2a290fefb
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date: Mar 14, 2022
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tags: ["Finance"]
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---
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Solliance delivers cutting-edge solutions that fill gaps across a wide variety of industries. Through its recent collaboration with Baseline, Solliance revolutionizes the cryptocurrency trading experience, extracting news insights from more than 150,000 global sources in near real time. To manage Baseline workloads, Solliance brought Microsoft Azure Machine Learning and PyTorch together for maximum processing power and deep learning capabilities. The result: investors can get under the headlines and see which specific news metrics are moving the volatile crypto market to make more informed trading decisions, while Baseline can release new features in weeks instead of months.

‎_community_stories/11.md

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title: 'Create a Wine Recommender Using NLP on AWS'
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ext_url: https://www.capitalone.com/tech/machine-learning/create-wine-recommender-using-nlp/
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date: March 2, 2022
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tags: ["Finance"]
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---
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In this tutorial, we’ll build a simple machine learning pipeline using a BERT word embedding model and the Nearest Neighbor algorithm to recommend wines based on user inputted preferences. To create and power this recommendation engine, we’ll leverage AWS’s SageMaker platform, which provides a fully managed way for us to train and deploy our service.

‎_community_stories/12.md

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title: 'Crayon boosts speed, accuracy of healthcare auditing process using Azure Machine Learning and PyTorch'
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ext_url: https://www.microsoft.com/en/customers/story/1503427278296945327-crayon-partner-professional-services-azure
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date: June 28, 2022
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tags: ["Healthcare"]
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---
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Healthcare providers need to be able to verify that they’re maintaining the highest operating safety and efficacy standards. Those standards are set by a national accreditation organization whose surveyors, often healthcare professionals themselves, regularly visit facilities and document situations that might need to be corrected or brought back in line with the latest rules and policies. That assessment and accreditation process generates a huge amount of data, and even the most experienced surveyors struggle to keep ahead of the ongoing development of thousands of policy rules that might be relevant in any particular scenario. Vaagan and his team took on the task of fixing the issue by building a machine learning solution that could ingest text from those reports and return a top ten list of the latest associated rules with unprecedented accuracy. They used Azure technology, development tools, and services to bring that solution to fruition. Crayon customers report clear time savings with the new healthcare solution. Just as important, the solution provides consistent responses that aren’t subject to the vagaries of individual interpretation or potentially out-of-date data.

‎_community_stories/13.md

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title: 'Extracting value from siloed healthcare data using federated learning with Azure Machine Learning'
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ext_url: https://www.microsoft.com/en/customers/story/1587521717158304168-microsoft-partner-professional-services-azure
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date: December 30, 2022
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tags: ["Healthcare"]
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---
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Sensitive information such as healthcare data is often siloed within health organization boundaries. This has posed a challenge to machine learning models used by the health and life sciences industry that require data for training purposes. To improve patient care and accelerate health industry progression, the Microsoft Health & Life Sciences AI group used a federated learning setup to train their biomedical natural language processing service, Text Analytics for Health, while preserving the trust boundaries of siloed data. The federated learning framework was built using Microsoft Azure Machine Learning and open-source technologies to help organizations analyze siloed data and build new applications without compromising data privacy.

‎_community_stories/14.md

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title: 'HippoScreen Improves AI Performance by 2.4x with oneAPI Tools'
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ext_url: https://www.intel.com/content/www/us/en/developer/articles/case-study/hipposcreen-boosts-ai-performance-2-4x-with-oneapi.html
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date: Feb 21, 2023
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tags: ["Healthcare"]
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---
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The Taiwan-based neurotechnology startup used tools and frameworks in the Intel® oneAPI Base and AI Analytics Toolkits to the improve efficiency and build times of deep-learning models used in its Brain Waves AI system. As a result, HippoScreen is able to broaden the system’s applications to a wider range of psychiatric conditions and diseases.

‎_community_stories/16.md

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title: "Disney's Creative Genome by Miquel Farré"
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ext_url: https://www.youtube.com/watch?v=KuDxEhHk2Rk
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date: Apr 27, 2021
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tags: ["Media & Entertainment"]
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---
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Miquel Farré is a senior technology manager at Disney, taking the lead on projects at the intersection of video technology, machine learning and web applications. Metadata that drives content searchability is most often indexed at the title level, with limited governance and high ambiguity; at best, keyword metadata has been added to a title as a layer of enrichment.

‎_community_stories/17.md

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title: 'How Disney uses PyTorch for animated character recognition'
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ext_url: https://medium.com/pytorch/how-disney-uses-pytorch-for-animated-character-recognition-a1722a182627
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date: Jul 16, 2020
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tags: ["Media & Entertainment"]
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---
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The long and incremental evolution of the media industry, from a traditional broadcast and home video model, to a more mixed model with increasingly digitally-accessible content, has accelerated the use of machine learning and artificial intelligence (AI). Advancing the implementation of these technologies is critical for a company like Disney that has produced nearly a century of content, as it allows for new consumer experiences and enables new applications for illustrators and writers to create the highest-quality content.

‎_community_stories/18.md

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title: 'Machine Learning at Tubi: Powering Free Movies, TV and News for All'
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ext_url: https://medium.com/pytorch/machine-learning-at-tubi-powering-free-movies-tv-and-news-for-all-51499643018e
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date: Feb 25, 2021
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tags: ["Media & Entertainment"]
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---
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In this blog series, our aim is to highlight the nuances of Machine Learning in Tubi’s Ad-based Video on Demand (AVOD) space as practiced at Tubi. Machine Learning helps solve myriad problems involving recommendations, content understanding and ads. We extensively use PyTorch for several of these use cases as it provides us the flexibility, computational speed and ease of implementation to train large scale deep neural networks using GPUs.

‎_community_stories/19.md

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title: 'How Pixar uses AI and GANs to create high-resolution content'
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ext_url: https://venturebeat.com/business/how-pixar-uses-ai-and-gans-to-create-high-resolution-content/
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date: July 17, 2020
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tags: ["Media & Entertainment"]
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---
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As digital animators continue to push the boundaries of technology and creativity, the technical teams that support them are turning to artificial intelligence and machine learning to deliver the tools they need. That’s the case at Pixar, where the company has made new machine learning breakthroughs it hopes will both improve quality and reduce costs.

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