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White paper
Intel® AI Builders - White paper
This white paper highlights observations and insights of global technology executives at SAS, Cisco and Intel who have firsthand knowledge to share about enabling AI adoption. The goal is to share these insights so that you can be successful in finding and implementing AI solutions across your organization.
Categories: 
Application Type - Machine Learning, Deep Learning, Other | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family, Intel® Movidius™, Intel® FPGA | Deployment Channel - CSP - Amazon Web Services | Framework Optimizations - Caffe2, Chainer, Custom/Other, TensorFlow, Caffe, Theano, Keras, PaddlePaddle, Torch/PyTorch, MXNet | Industry - Agriculture, Arts and Entertainment, Automotive, Cross-Industry, Defense and Space, Education, Energy and Utilities, Finance and Insurance, Government, Healthcare, Manufacturing, Not for profit, Other, Professional and Business Services, Real Estate, Rental and Leasing, Retail, Software, Communications, Transportation and Warehousing | Model Training - Models cant be re-trained - Inference only, Models can be trained - requires labeled data | Operating System - Windows, Linux, Other (pls specify) | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Toolkits - Intel® Movidius™ Neural Compute SDK, Intel® Movidius™ Myriad™ Development Kit (MDK), Other, Intel® Distribution of OpenVINO™ toolkit | Topology - Proprietary, RNN, VGG-19, BERT, Faster RCNN, MobileNet, Other, Unet, Yolo, ResNet50, InceptionV3, SSD-VGG16, GNMT, SSD, Deep Speech 2, NMT, LSTM | Use Case - Predictive maintenance and analytics, Video Surveillance and Analytics, Image / Object Detection / Recognition / Classification, Data Preparations and Management, Data Analytics, Conversational Bots and Voice Agents, Facial Detection / Recognition / Classification, Medical imaging, analysis and diagnostics

This white paper highlights observations and insights of global technology executives at SAS, Cisco and Intel who have firsthand knowledge to share about enabling AI adoption. The goal is to share these insights so that you can be successful in finding and implementing AI solutions across your organization.

White paper
Intel® AI Builders - White paper
This White Paper highlights how, to help lower the hurdle of deploying AI, DC Water enlisted the help of Wipro, an IT services provider and member of the Intel AI Builders program with expertise in the utility industry as well as computer vision, machine learning, and related technologies.
Categories: 
Application Type - Deep Learning, Other | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Framework Optimizations - TensorFlow | Industry - Energy and Utilities | Model Training - Models cant be re-trained - Inference only | Operating System - Windows | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Faster RCNN | Use Case - Image / Object Detection / Recognition / Classification, Predictive maintenance and analytics

This White Paper highlights how, to help lower the hurdle of deploying AI, DC Water enlisted the help of Wipro, an IT services provider and member of the Intel AI Builders program with expertise in the utility industry as well as computer vision, machine learning, and related technologies.

Case Study
Intel® AI Builders - Case Study
This case study highlights how Wahtari’s fast, flexible solution for AI-powered license plate recognition delivers robust results powered by AAEON UP hardware, Intel Atom® processors, Intel® Movidius™ Myriad™ X vision processing units (VPUs) and the Intel Distribution of OpenVINO™ toolkit.
Categories: 
Application Type - Deep Learning | Compute - Intel® Movidius™ | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow, Caffe, Torch/PyTorch, MXNet | Industry - Manufacturing, Transportation and Warehousing | Model Training - Models can be trained - data input only required, Models can be trained - requires labeled data | Offering Type - AI Appliance, AI Platform as a Service (AI PaaS), AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), Compute Library for Deep Neural Networks (clDNN) | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Faster RCNN, MobileNet, Yolo, ResNet50, SSD-VGG16, SSD, Proprietary | Use Case - Medical imaging, analysis and diagnostics, Smart City, Video Surveillance and Analytics, Data Preparations and Management, Image / Object Detection / Recognition / Classification, Anomaly Detection, Facial Detection / Recognition / Classification

This case study highlights how Wahtari’s fast, flexible solution for AI-powered license plate recognition delivers robust results powered by AAEON UP hardware, Intel Atom® processors, Intel® Movidius™ Myriad™ X vision processing units (VPUs) and the Intel Distribution of OpenVINO™ toolkit.

Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how OneClick.ai accelerated their AI-enabled augmented forecasting platform with Intel architecture and Intel AI technologies, empowering front-line business planners to quickly capture the future demand of their business, reduce any bullwhip effect and optimize downstream processes such as replenishment, assortment, pricing, promotion, and workforce planning.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Cross-Industry, Professional and Business Services | Model Training - Models can be trained - data input only required, Models can be trained - online learning | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN), Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Topology - Proprietary | Use Case - Data Analytics, Factory Automation, Image / Object Detection / Recognition / Classification, Predictive maintenance and analytics

This solution brief highlights how OneClick.ai accelerated their AI-enabled augmented forecasting platform with Intel architecture and Intel AI technologies, empowering front-line business planners to quickly capture the future demand of their business, reduce any bullwhip effect and optimize downstream processes such as replenishment, assortment, pricing, promotion, and workforce planning.

Product Brief
Intel® AI Builders - Product Brief
This partner brief highlights how At IOT Solutions World Congress (IOTSWC), Intel has announced a collaboration with partners Aaeon, Milestone, and SAIMOS to bring an intelligent digital surveillance and security (DSS) solution to market early next year: named UP Xtreme Smart Surveillance.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Core™ Processor Family, Intel® Movidius™ | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - Custom/Other | Industry - Other, Retail | Model Training - Models can be trained - requires labeled data | Offering Type - AI Appliance | Operating System - Windows | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Other | Use Case - Facial Detection / Recognition / Classification, Video Surveillance and Analytics

This partner brief highlights how At IOT Solutions World Congress (IOTSWC), Intel has announced a collaboration with partners Aaeon, Milestone, and SAIMOS to bring an intelligent digital surveillance and security (DSS) solution to market early next year: named UP Xtreme Smart Surveillance.

White Paper
Intel® AI Builders - White Paper
This white paper illustrates how utilizing AI/DL and drone technologies to carry out predictive maintenance on wind turbine structure. This helps to lower the Operation and Maintenance (O&M) cost of the overall power plant.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Neural Compute Stick (NCS2), Intel® Xeon Scalable, Intel® Core™ Processor Family, Intel® Movidius™, Intel® FPGA | Deployment Channel - CSP - Google Cloud, CSP - Microsoft Azure, On-premise (Private Cloud, Other), CSP - Amazon Web Services | Framework Optimizations - TensorFlow, Keras | Industry - Energy and Utilities | Model Training - Models can be trained - requires labeled data | Offering Type - AI Appliance, AI Software/SaaS | Operating System - Windows, Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - SSD | Use Case - Image / Object Detection / Recognition / Classification, Predictive maintenance and analytics

This white paper illustrates how utilizing AI/DL and drone technologies to carry out predictive maintenance on wind turbine structure. This helps to lower the Operation and Maintenance (O&M) cost of the overall power plant.

Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how Vismarty Technology Co. Ltd. combines their artificial intelligence (AI) algorithms and FPGA optimizations with Intel® technologies to accelerate detection and blocking of disallowed imagery across multiple distribution technologies in real time. Service providers can now effectively and efficiently monitor and prevent unwanted content on their networks.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable, Intel® FPGA | Deployment Channel - CSP - Other, CSP - Amazon Web Services | Framework Optimizations - TensorFlow, Caffe, Torch/PyTorch, MXNet | Industry - Arts and Entertainment, Government | Model Training - Models can be trained - data input only required | Offering Type - AI Software/SaaS | Operating System - Windows, Linux | Solution Geographic Availability - China (PRC) | Toolkits - Other, Intel® Distribution of OpenVINO™ toolkit | Topology - MobileNet, InceptionV3, VGG-19 | Use Case - Image / Object Detection / Recognition / Classification, Facial Detection / Recognition / Classification, Video Surveillance and Analytics

This solution brief illustrates how Vismarty Technology Co. Ltd. combines their artificial intelligence (AI) algorithms and FPGA optimizations with Intel® technologies to accelerate detection and blocking of disallowed imagery across multiple distribution technologies in real time. Service providers can now effectively and efficiently monitor and prevent unwanted content on their networks.

Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how optimizing the Circuitscape suite of open source connectivity modeling tools allows conservation scientists to take advantage of improved spatial data and work more collaboratively with stakeholders and decision-makers to improve outcomes for wildlife.
Categories: 
Compute - Intel® Xeon Scalable | Framework Optimizations - Custom/Other | Industry - Not for profit, Software | Offering Type - AI Software/SaaS | Operating System - Windows, Linux, Other (pls specify) | Solution Geographic Availability - Worldwide | Use Case - Data Analytics

This solution brief illustrates how optimizing the Circuitscape suite of open source connectivity modeling tools allows conservation scientists to take advantage of improved spatial data and work more collaboratively with stakeholders and decision-makers to improve outcomes for wildlife.

Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how using Intel Optimization for TensorFlow and Intel Distribution of OpenVINO toolkit KFBIO increased inference performance of cervical cancer screening by up to 8.4X1 on Intel Xeon Gold 6148 processors, compared to non-optimized models.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Framework Optimizations - TensorFlow | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only | Operating System - Linux | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - China (PRC) | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Other | Use Case - Image / Object Detection / Recognition / Classification, Medical imaging, analysis and diagnostics

This solution brief illustrates how using Intel Optimization for TensorFlow and Intel Distribution of OpenVINO toolkit KFBIO increased inference performance of cervical cancer screening by up to 8.4X1 on Intel Xeon Gold 6148 processors, compared to non-optimized models.

Solution Brief
Intel® AI Builders - Solution Brief
This solution brief illustrates how JLK Inspection’s MobiDo-x and Atroscan products, optimized with the Intel® Distribution of OpenVINO™ toolkit, can help medical professionals reach more people, accelerate screening, and help improve quality of patient care.
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family | Deployment Channel - On-premise (Private Cloud, Other) | Industry - Healthcare | Offering Type - AI Appliance | Solution Geographic Availability - Worldwide, Korea | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Use Case - Image / Object Detection / Recognition / Classification, Medical imaging, analysis and diagnostics

This solution brief illustrates how JLK Inspection’s MobiDo-x and Atroscan products, optimized with the Intel® Distribution of OpenVINO™ toolkit, can help medical professionals reach more people, accelerate screening, and help improve quality of patient care.