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Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how NimbleBox’s platform utilizes Intel® Distribution of OpenVINO™ toolkit and Intel optimizations for machine learning frameworks and languages boost inferencing on popular AI models running on Intel CPUs.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Amazon Web Services | Industry - Education, Other | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow*, Intel® Distribution for Python* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models cant be re-trained - Inference only | Operating System - Linux, Other (pls specify) | Solution Geographic Availability - India | Solution Type - AI Platform as a Service (AI PaaS) | Topology - Yolo | Use Case - Other (pls specify)

This solution brief highlights how NimbleBox’s platform utilizes Intel® Distribution of OpenVINO™ toolkit and Intel optimizations for machine learning frameworks and languages boost inferencing on popular AI models running on Intel CPUs.

Product Brief
Intel® AI Builders - Product Brief
This solution brief highlights how GIGABYTE was able to improve their AI workloads by implementing a TensorFlow framework with Intel Distribution of OpenVINO toolkit and utilizing 2nd Gen Intel Xeon Scalable processors with Intel DL Boost in a GIGABYTE system.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Industry - Cross-Industry, Government, Retail | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - requires labeled data | Solution Geographic Availability - Worldwide | Solution Type - AI Platform as a Service (AI PaaS) | Use Case - Facial Detection / Recognition / Classification, Video Surveillance and Analytics | Solution Geographic Availability - Worldwide

This solution brief highlights how GIGABYTE was able to improve their AI workloads by implementing a TensorFlow framework with Intel Distribution of OpenVINO toolkit and utilizing 2nd Gen Intel Xeon Scalable processors with Intel DL Boost in a GIGABYTE system.

Product Brief
Intel® AI Builders - Product Brief
This solution brief highlights how, to help optimize the performance of the full-cycle AI medical imaging solution, Intel offered HYHY technologies such as 2nd Gen Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost) as the core processing engine of this solution, and software optimization tools such as the OpenVINO™ toolkit and Intel® Distribution for Python with HYHY seeing significant improvements to inference speed in image analysis scenarios such as COVID-19 screening and breast cancer detecting.
Categories: 
Application Type - Deep Learning | Combatting Covid-19 - Combatting Covid-19 | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Other, On-premise (Private Cloud, Other) | Industry - Healthcare, Software | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow*, Intel® Optimization for PyTorch* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - requires labeled data | Operating System - Linux | Solution Geographic Availability - Worldwide | Solution Type - AI Software/SaaS | Topology - Proprietary, Unet | Use Case - Medical imaging, analysis and diagnostics

This solution brief highlights how, to help optimize the performance of the full-cycle AI medical imaging solution, Intel offered HYHY technologies such as 2nd Gen Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost) as the core processing engine of this solution, and software optimization tools such as the OpenVINO™ toolkit and Intel® Distribution for Python with HYHY seeing significant improvements to inference speed in image analysis scenarios such as COVID-19 screening and breast cancer detecting.

Product Brief
Intel® AI Builders - Product Brief
This snapshot shares the success achieved from Baosight and Intel team in building an unsupervised time series anomaly detection project, using long short-term memory (LSTM) models on Analytics Zoo
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - On-premise (Private Cloud, Other) | Industry - Cross-Industry, Manufacturing | Model Training - Models can be trained - requires labeled data | Solution Geographic Availability - China (PRC) | Solution Type - AI Platform as a Service (AI PaaS) | Topology - LSTM, RNN | Use Case - Anomaly Detection, Predictive maintenance and analytics

This snapshot shares the success achieved from Baosight and Intel team in building an unsupervised time series anomaly detection project, using long short-term memory (LSTM) models on Analytics Zoo

Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how the Paperspace Gradient platform optimizes machine learning pipelines and delivers faster inferencing and lower query latency on 2nd Gen Intel® Xeon® processors using Intel Distribution of OpenVINO™ toolkit and Intel Distribution of OpenVINO Model Server
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other), Hybrid Cloud | Industry - Cross-Industry, Finance and Insurance, Healthcare, Other | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - online learning | Operating System - Linux | Solution Geographic Availability - Worldwide | Solution Type - AI Platform as a Service (AI PaaS) | Topology - ResNet50, SSD, MobileNet | Use Case - Image / Object Detection / Recognition / Classification, Other (pls specify), Data Analytics | Solution Geographic Availability - Worldwide

This solution brief highlights how the Paperspace Gradient platform optimizes machine learning pipelines and delivers faster inferencing and lower query latency on 2nd Gen Intel® Xeon® processors using Intel Distribution of OpenVINO™ toolkit and Intel Distribution of OpenVINO Model Server

Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how, already optimized with Intel Optimizations for TensorFlow, Embold AI-powered intelligent static code analysis tool gains additional performance with fine tuning for GPT-2 model.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, On-premise (Private Cloud, Other) | Industry - Other, Software | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow* | Model Training - Models can be trained - online learning | Operating System - Linux, Other (pls specify) | Solution Geographic Availability - Worldwide | Solution Type - AI Software/SaaS | Use Case - Data Analytics | Solution Geographic Availability - Worldwide

This solution brief highlights how, already optimized with Intel Optimizations for TensorFlow, Embold AI-powered intelligent static code analysis tool gains additional performance with fine tuning for GPT-2 model.

White Paper
Intel® AI Builders - White Paper
This white paper highlights the HCL Social Distance Monitoring solution and how the application is optimized with Intel® Distribution of OpenVINO™ Toolkit and can run inference algorithms across a variety of Intel enabled edge/data center devices.
Categories: 
Application Type - Deep Learning | Combatting Covid-19 - Combatting Covid-19 | Compute - Intel® Xeon® Scalable processor, Intel® Core™ processor , Intel® Movidius™ Vision Processing Units (VPU), Intel® FPGA | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other), Hybrid Cloud | Industry - Healthcare, Manufacturing, Retail | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - requires labeled data | Operating System - Windows, Linux | Solution Type - AI Appliance | Topology - Yolo | Use Case - Video Surveillance and Analytics | Solution Geographic Availability - Worldwide

This white paper highlights the HCL Social Distance Monitoring solution and how the application is optimized with Intel® Distribution of OpenVINO™ Toolkit and can run inference algorithms across a variety of Intel enabled edge/data center devices.

White Paper
Intel® AI Builders - White Paper
This white paper highlights the key drivers of IDP adoption in enterprises and introduces Wipro HOLMES® Invoice Processing solution, powered by Intel® Xeon® Scalable processors, for cognitive invoice processing capabilities.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Amazon Web Services, CSP - Microsoft Azure, On-premise (Private Cloud, Other) | Industry - Cross-Industry, Energy and Utilities, Finance and Insurance | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow*, Intel® Distribution for Python* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - requires labeled data | Operating System - Linux | Solution Type - AI Platform as a Service (AI PaaS) | Topology - LSTM, RNN, Faster RCNN | Use Case - Image / Object Detection / Recognition / Classification, Data Preparations and Management, Document Management | Solution Geographic Availability - Worldwide

This white paper highlights the key drivers of IDP adoption in enterprises and introduces Wipro HOLMES® Invoice Processing solution, powered by Intel® Xeon® Scalable processors, for cognitive invoice processing capabilities.

White Paper
Intel® AI Builders - White Paper
This white paper highlights the auto creation of task flow from the video by identifying the actions performed in the video and introduces Wipro HOLMES® Mimictron solution on Intel Xeon Scalable for RPA capabilities. The goal is to accelerate and simplify RPA implementation for enterprises to drive superior business outcomes.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon® Scalable processor | Deployment Channel - CSP - Amazon Web Services, CSP - Microsoft Azure, On-premise (Private Cloud, Other) | Industry - Cross-Industry, Energy and Utilities, Finance and Insurance | Intel® AI Analytics Toolkit powered by oneAPI - Intel® Optimization for TensorFlow*, Intel® Distribution for Python* | Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI - Intel® Distribution of OpenVINO™ Toolkit powered by oneAPI | Model Training - Models can be trained - requires labeled data | Operating System - Linux | Solution Type - AI Platform as a Service (AI PaaS) | Topology - InceptionV3, LSTM, Faster RCNN | Use Case - Image / Object Detection / Recognition / Classification, Content generation, Robotic Process Automation | Solution Geographic Availability - Worldwide

This white paper highlights the auto creation of task flow from the video by identifying the actions performed in the video and introduces Wipro HOLMES® Mimictron solution on Intel Xeon Scalable for RPA capabilities. The goal is to accelerate and simplify RPA implementation for enterprises to drive superior business outcomes.

Case Study
Intel® AI Builders - Case Study
This product brief discusses how, as the magnitude of the patient care load increases and the cost of preventable errors grows, MaxQ AI’s Accipio Ix can be to be a seamless, powerful, and simple solution assisting the skilled physician team in identifying and prioritizing patients with suspected intracranial hemorrhage (ICH).
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ processor | Industry - Healthcare | Model Training - Models can be trained - requires labeled data | Operating System - Windows | Solution Geographic Availability - Other - Europe and Africa, Other - North and South America | Topology - Proprietary, VGG-19, Unet | Use Case - Medical imaging, analysis and diagnostics

This product brief discusses how, as the magnitude of the patient care load increases and the cost of preventable errors grows, MaxQ AI’s Accipio Ix can be to be a seamless, powerful, and simple solution assisting the skilled physician team in identifying and prioritizing patients with suspected intracranial hemorrhage (ICH).