# Case Studies and Mentions
# Learn how TensorFlow solves real, everyday machine learning problems
Explore how various companies from a wide variety of industries implement ML to solve their biggest problems. From [healthcare](https://blog.tensorflow.org/2019/03/intelligent-scanning-using-deep-learning.html) to [social networks](https://blog.tensorflow.org/2019/03/ranking-tweets-with-tensorflow.html) and even [ecommerce](https://blog.tensorflow.org/2019/09/using-tensorflow-to-predict-product.html), ML can be integrated into your industry and company.
 Case studies  [Airbnb improves the guest experience by using TensorFlow to classify images and detect objects at scale](https://medium.com/airbnb-engineering/categorizing-listing-photos-at-airbnb-f9483f3ab7e3) The Airbnb engineering and data science team applies machine learning using TensorFlow to classify images and detect objects at scale, helping to improve the guest experience.
[Learn more](https://medium.com/airbnb-engineering/categorizing-listing-photos-at-airbnb-f9483f3ab7e3) [Website](https://airbnb.io/) 
TFX
[Airbus uses TensorFlow to extract information from their satellite images and deliver valuable insights to clients](https://blog.tensorflow.org/2020/04/how-airbus-detects-anomalies-iss-telemetry-data-tfx.html) ML helps with monitoring changes to the Earth's surface for urban planning, fighting illegal construction and mapping damage and landscape changes caused by natural catastrophes.
[Learn More](https://blog.tensorflow.org/2020/04/how-airbus-detects-anomalies-iss-telemetry-data-tfx.html) [Website](https://www.airbus.com/innovation.html) 
TensorFlow Lite
[Arm's Hardware Abstraction Layer leads to a more than 4x performance boost to TensorFlow Lite](https://github.com/ARM-software/android-nn-driver) Arm NN for Android Neural Networks API (NNAPI) provides a Hardware Abstraction Layer (HAL) that targets Arm Mali GPUs and leads to more than a 4x performance boost to machine learning frameworks such as TensorFlow Lite.
[Learn more](https://github.com/ARM-software/android-nn-driver)  [Carousell uses TensorFlow to improve the buyer and seller experience](https://medium.com/carousell-insider/tagged/data-science) Carousell builds machine learning models with deep image and natural language understanding using TensorFlow on Google Cloud ML. Sellers benefit from a simplified posting experience with image recognition, and buyers discover more relevant listings through recommendations and image search.
[Learn more](https://medium.com/carousell-insider/tagged/data-science) [Website](https://www.carousell.sg/) 
TensorFlow Lite
[CEVA converts TensorFlow trained networks in their Deep Learning processors](https://www.ceva-dsp.com/) CEVA's NeuPro and CEVA-XM AI processors for Deep Learning and AI inferencing at the edge automatically convert TensorFlow trained networks for use in real-time embedded devices using the CEVA CDNN Compiler.
[Website](https://www.ceva-dsp.com/) [Learn more](https://www.ceva-dsp.com/press/ceva-announces-dsp-and-voice-neural-networks-integration-with-tensorflow-lite-for-microcontrollers/)  [China Mobile uses TensorFlow to improve their success rate of network element cutovers](https://www.chinamobileltd.com) China Mobile has created a deep learning system using TensorFlow that can automatically predict cutover time window, verify operation logs, and detect network anomalies. This has already successfully supported the world's largest relocation of hundreds of millions IoT HSS numbers.
[Learn more](https://www.chinamobileltd.com)  [TensorFlow enables mobile proof-of-purchase at Coca-Cola](https://developers.googleblog.com/2017/09/how-machine-learning-with-tensorflow.html) Advances in artificial intelligence and the maturity of TensorFlow enabled the Coca-Cola Company to achieve a long-sought frictionless proof-of-purchase capability for their loyalty program.
[Learn more](https://developers.googleblog.com/2017/09/how-machine-learning-with-tensorflow.html)  [GE trained a neural network using TensorFlow to identify anatomy on MRIs of the brain](https://blog.tensorflow.org/2019/03/intelligent-scanning-using-deep-learning.html) Using TensorFlow, GE Healthcare is training a neural network to identify specific anatomy during brain magnetic resonance imaging (MRI) exams to help improve speed and reliability.
[Learn more](https://blog.tensorflow.org/2019/03/intelligent-scanning-using-deep-learning.html) 
TensorFlow Lite
[Google built TensorFlow to bring machine learning to everyone](https://ai.googleblog.com/search/label/TensorFlow) Google uses TensorFlow to power ML implementations in products like Search, Gmail, and Translate, to aid researchers in new discoveries, and even to forge advances in humanitarian and environmental challenges.
[Learn more](https://ai.googleblog.com/search/label/TensorFlow) 
TensorFlow.js
[InSpace uses TensorFlow.js for real time toxicity filters in online chat](https://blog.tensorflow.org/2020/12/inspace-new-video-conferencing-platform-uses-tensorflowjs-for-toxicity-filters-in-chat.html) InSpace uses TensorFlow.js to detect toxic comments before they are even sent by performing all inference client side in the browser, removing the need to send text to a third-party server for classification.
[Learn more](https://blog.tensorflow.org/2020/12/inspace-new-video-conferencing-platform-uses-tensorflowjs-for-toxicity-filters-in-chat.html) [Website](https://inspace.chat/)  [Intel optimizes TensorFlow inference performance on the Xeon® Scalable processor](https://www.intel.ai/tensorflow-optimizations-intel-xeon-scalable-processor/#gs.CxZXtywx) Intel's partnership with Google has resulted in up to 2.8x inference performance improvement across different models to benefit a wide range of customers running TensorFlow on Intel platforms.
[Learn more](https://www.intel.ai/tensorflow-optimizations-intel-xeon-scalable-processor/#gs.CxZXtywx) [Website](https://www.intel.ai/#gs.psK4IZXL) 
TFX
[Kakao uses TensorFlow to predict the completion rate of ride-hailing requests](https://www.kakaocorp.com/?lang=en) Kakao Mobility uses TensorFlow and TensorFlow Serving to predict the probability of trip completed rates when drivers are dispatched to fulfill ride-hailing requests.
[Website](https://www.kakaocorp.com/?lang=en)  [Lenovo Intelligent Computing Orchestration uses TensorFlow to help accelerate the intelligent revolution](https://www.lenovo.com/us/en/data-center/software/Lenovo-Intelligent-Computing-Orchestration/p/WMD00000356) The Lenovo LiCO platform accelerates AI training and traditional High Performance Computing, and optimizes deep learning training with TensorFlow integration and optimization. LiCO provides various built-in TensorFlow models and supports optimized distributed training of these models.
[Website](https://www.lenovo.com/us/en/data-center/software/Lenovo-Intelligent-Computing-Orchestration/p/WMD00000356)  [Liulishuo uses TensorFlow to help teach new languages](https://mp.weixin.qq.com/s/HrrAb05PjXRytwLIICMNMw) The Liulishuo algorithm team first applied TensorFlow to its internal machine learning project in early 2016. This easy-to-use machine learning framework helped the team build an application to teach English.
[Website](https://www.liulishuo.com/en/) 
TensorFlow.js
[Modiface utilized TensorFlow.js in production for AR makeup try on in the browser](https://blog.tensorflow.org/2020/02/how-modiface-utilized-tensorflowjs-in-ar-makeup-in-browser.html) ModiFace leverages the TensorFlow.js FaceMesh model to identify key facial features and combine them with WebGL shaders, allowing users to digitally try on makeup for L'Oreal brand products while preserving privacy. The live experience runs entirely in the browser, so no user data is ever sent to a server for processing.
[Learn more](https://blog.tensorflow.org/2020/02/how-modiface-utilized-tensorflowjs-in-ar-makeup-in-browser.html) [Website](https://modiface.com/)  [Auto-classification of NAVER Shopping Product Categories using TensorFlow](https://blog.tensorflow.org/2019/05/auto-classification-of-naver-shopping.html) Using TensorFlow NAVER Shopping automatically matches over 20 million newly registered products a day to around 5,000 categories in order to organize products systematically and allow easier searching for users.
[Learn more](https://blog.tensorflow.org/2019/05/auto-classification-of-naver-shopping.html)  [NERSC scaled a scientific DL application to 27,000+ Nvidia V100 Tensor Core GPUs using TensorFlow](https://blog.tensorflow.org/2019/02/scaling-summit-of-exascale-deep-learning.html) NERSC and NVIDIA succeeded at scaling a scientific deep learning application to 27,000+ Nvidia V100 Tensor Core GPUs, breaking the ExaFLOP barrier in the process.
[Learn more](https://blog.tensorflow.org/2019/02/scaling-summit-of-exascale-deep-learning.html) [Website](https://www.nersc.gov/) 
TFX
[OpenX prioritizes traffic for high volume requests using TFX](https://blog.tensorflow.org/2021/02/how-openx-trains-and-serves-for-million-queries-per-second.html) OpenX integrates TFX and Google Cloud Platform in their ad exchange to process more than one million requests every second and serve responses in under 15 milliseconds.
[Learn more](https://blog.tensorflow.org/2021/02/how-openx-trains-and-serves-for-million-queries-per-second.html) [Website](https://www.openx.com/)  [PayPal uses TensorFlow to stay at the cutting edge of Fraud Detection](https://medium.com/paypal-engineering) Using TensorFlow, deep transfer learning and generative modeling, PayPal has been able to recognize complex temporally varying fraud patterns to increase fraud decline accuracy while improving experience of legitimate users through increased precision in identification.
[Website](https://medium.com/paypal-engineering) 
TensorFlow Lite
[Qualcomm accelerates TensorFlow models on Snapdragon mobile platforms and beyond](https://www.qualcomm.com/news/onq/2017/01/09/tensorflow-machine-learning-now-optimized-snapdragon-835-and-hexagon-682-dsp) Qualcomm optimizes and accelerates TensorFlow and TensorFlow Lite models on Snapdragon mobile platforms, and across chipset portfolios designed for IoT, compute, XR and automotive.
[Learn more](https://www.qualcomm.com/news/onq/2017/01/09/tensorflow-machine-learning-now-optimized-snapdragon-835-and-hexagon-682-dsp) [Website](https://www.qualcomm.com/)  [Detecting disease on OCT images of the retina with TensorFlow](http://www.sinovationventures.com/) Disease classification and segmentation were performed on retinal OCT images using TensorFlow. The three disease types were classified as either choroidal neovascularization, vitreous warts or diabetic retinal edema. After segmentation, Sinovation Ventures provided the boundary of the suspected lesions in the imaging.
[Website](http://www.sinovationventures.com/) 
TFX
[Spotify personalizes recommendations for users with TFX](https://engineering.atspotify.com/2019/12/13/the-winding-road-to-better-machine-learning-infrastructure-through-tensorflow-extended-and-kubeflow/) Spotify leverages TFX and Kubeflow pipelines in its Paved Road for ML systems, an opinionated set of products and configurations to deploy an end-to-end machine learning solution targeted at teams starting out on their ML journeys.
[Learn more](https://engineering.atspotify.com/2019/12/13/the-winding-road-to-better-machine-learning-infrastructure-through-tensorflow-extended-and-kubeflow/) [Website](https://www.spotify.com/)  [Swisscom optimizes customer support operations with custom-built TensorFlow model](https://blog.tensorflow.org/2019/04/how-swisscoms-custom-built-tensorflow.html) Swisscom leverages TensorFlow's capacity for deeply customized machine learning models to classify text and determine the intent of their customers upon receiving their inquiries.
[Learn more](https://blog.tensorflow.org/2019/04/how-swisscoms-custom-built-tensorflow.html) [Website](https://www.swisscom.ch/en/about/company/innovation.html) 
TensorFlow Lite
[Texas Instruments Processor SDK integrates TensorFlow Lite for machine learning inference at the edge](http://software-dl.ti.com/processor-sdk-linux/esd/docs/latest/linux/Foundational_Components_Machine_Learning.html) Processor SDK optimizes TensorFlow Lite models, offloading CNN/DNN inference from general compute Arm® cores to purpose built hardware accelerators, which enhances machine learning capabilities in machine vision, robotics, automotive ADAS and many other applications.
[Learn more](http://software-dl.ti.com/processor-sdk-linux/esd/docs/latest/linux/Foundational_Components_Machine_Learning.html) [Website](http://www.ti.com) 
TFX
[Ranking tweets with TensorFlow](https://blog.tensorflow.org/2019/03/ranking-tweets-with-tensorflow.html) Twitter used TensorFlow to build their "Ranked Timeline," allowing users to ensure that they don't miss their most important tweets even if they follow thousands of users.
[Learn more](https://blog.tensorflow.org/2019/03/ranking-tweets-with-tensorflow.html) [Website](https://cortex.twitter.com/en.html) 
TensorFlow Lite
[Suggesting presets for images: building "For This Photo" at VSCO](https://blog.tensorflow.org/2019/06/vsco-suggesting-presets-for-images.html) VSCO used TensorFlow Lite to develop the "For This Photo" feature, which uses on-device machine learning to identify what kind of photo someone is editing and then suggest relevant presets from a curated list.
[Learn more](https://blog.tensorflow.org/2019/06/vsco-suggesting-presets-for-images.html) 
TensorFlow Lite
[WPS Office: an intelligent office based on TensorFlow](https://www.wps.com) WPS Office implements multiple business scenarios, such as on-device image recognition and image OCR based on TensorFlow.
[Website](https://www.wps.com)
## Build, deploy, and experiment easily with TensorFlow
[Get started](https://www.tensorflow.org/tutorials)