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Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper looks at the transformation under way in AI-powered contact centers and the platform requirements for successful implementations. One such implementation shows how Scalable processors help accelerate conversational solutions from AI Builders member, Gnani.ai.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Automotive, Cross-Industry, Finance and Insurance, Government, Real Estate, Rental and Leasing, Communications | Model Training - Models cant be re-trained - Inference only | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Topology - Proprietary | Use Case - Conversational Bots and Voice Agents

This white paper looks at the transformation under way in AI-powered contact centers and the platform requirements for successful implementations. One such implementation shows how Scalable processors help accelerate conversational solutions from AI Builders member, Gnani.ai.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief highlights how ZeroFOX uses the Intel Distribution of OpenVINO toolkit to accelerate their threat detection and bring value to their customers.
Categories: 
Application Type - Machine Learning, Deep Learning, Other | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services | Framework Optimizations - Custom/Other | Industry - Cross-Industry | Model Training - Models can be trained - requires labeled data | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Compute Library for Deep Neural Networks (clDNN) | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Yolo | Use Case - Image/Object Detection/Recognition/Classification

This solution brief highlights how ZeroFOX uses the Intel Distribution of OpenVINO toolkit to accelerate their threat detection and bring value to their customers.

Intel® AI Builders
Reference Architecture
Intel® AI Builders - Reference Architecture
This reference architecture outlines how combining H2O.ai products, 2nd generation Intel Xeon Scalable processors, and Intel DC SSDs can decrease training time and inference time without sacrificing model accuracy.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Cross-Industry | Model Training - Models can be trained - requires labeled data | Offering Type - AI Software/SaaS | Operating System - Windows, Linux, Other (pls specify) | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Data Analytics Acceleration Library (Intel® DAAL), Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Use Case - Anomaly Detection, Other (pls specify), Predictive maintenance and analytics, Data Preparations and Management

This reference architecture outlines how combining H2O.ai products, 2nd generation Intel Xeon Scalable processors, and Intel DC SSDs can decrease training time and inference time without sacrificing model accuracy.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This reference architecture explains how using 2nd generation Intel Xeon® Scalable processors and Intel MPI library helped boost Darwin model building application by up to 44.9X.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Google Cloud, On-premise (Private Cloud, Other) | Framework Optimizations - Torch/PyTorch | Industry - Cross-Industry, Energy and Utilities, Finance and Insurance, Manufacturing | Model Training - Models cant be re-trained - Inference only, Models can be trained - data input only required, Models can be trained - online learning, Models can be trained - requires labeled data | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Solution Geographic Availability - Worldwide, Germany, Mexico, United Kingdom, United States, Other - Europe and Africa | Topology - LSTM, Proprietary | Use Case - Predictive maintenance and analytics, Data Preparations and Management, Data Analytics

This reference architecture explains how using 2nd generation Intel Xeon® Scalable processors and Intel MPI library helped boost Darwin model building application by up to 44.9X.

Intel® AI Builders
Reference Architecture
Intel® AI Builders - Reference Architecture
This reference architecture explains how the Dell EMC engineering-validated design for DataRobot automates the entire data science and machine learning workflow, eliminating the need for organizations to assemble a large team of data scientists with advanced coding skills, while also augmenting the capabilities of organizations that already have data science teams.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other | Framework Optimizations - TensorFlow | Industry - Cross-Industry | Model Training - Models can be trained - data input only required, Models can be trained - online learning, Models can be trained - requires labeled data | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Solution Geographic Availability - Worldwide | Use Case - Predictive maintenance and analytics, Robotic Process Automation

This reference architecture explains how the Dell EMC engineering-validated design for DataRobot automates the entire data science and machine learning workflow, eliminating the need for organizations to assemble a large team of data scientists with advanced coding skills, while also augmenting the capabilities of organizations that already have data science teams.

Intel® AI Builders
Reference Architecture
Intel® AI Builders - Reference Architecture
This reference architecture explains how H2O.ai's solution takes advantage of the 2nd Generation Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost). to improve customer experiences, streamline processes, decrease waste and fraud.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Cross-Industry | Model Training - Models can be trained - requires labeled data | Operating System - Windows, Linux, Other (pls specify) | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Data Analytics Acceleration Library (Intel® DAAL), Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Toolkits - Other | Use Case - Anomaly Detection, Predictive maintenance and analytics

This reference architecture explains how H2O.ai's solution takes advantage of the 2nd Generation Intel® Xeon® Scalable processors with Intel® Deep Learning Boost (Intel® DL Boost). to improve customer experiences, streamline processes, decrease waste and fraud.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper discusses how Wipro's medical imaging solution automates the segmentation, and diagnosis from CT scan and X-Ray images, specifically lung segmentation and lung-related pathologies and diagnosis. The solutions is optimized to run on Intel architecture using Intel Distribution of OpenVINO toolkit.
Categories: 
Application Type - Deep Learning, Other | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Framework Optimizations - TensorFlow | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only | Operating System - Windows | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - InceptionV3, Unet | Use Case - Image/Object Detection/Recognition/Classification, Medical imaging, analysis and diagnostics

This white paper discusses how Wipro's medical imaging solution automates the segmentation, and diagnosis from CT scan and X-Ray images, specifically lung segmentation and lung-related pathologies and diagnosis. The solutions is optimized to run on Intel architecture using Intel Distribution of OpenVINO toolkit.

Intel® AI Builders
Case Study
Intel® AI Builders - Case Study
This case study discusses how Kongsberg Maritime is working to keep ships safe at sea, with autonomous and assisted navigation solutions and how Intel helped the company optimize its object recognition performance on Intel® Xeon® Scalable processors.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon Scalable | Framework Optimizations - TensorFlow | Industry - Automotive, Transportation and Warehousing | Operating System - Linux | Software Libraries - Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - SSD | Use Case - Image/Object Detection/Recognition/Classification

This case study discusses how Kongsberg Maritime is working to keep ships safe at sea, with autonomous and assisted navigation solutions and how Intel helped the company optimize its object recognition performance on Intel® Xeon® Scalable processors.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief explores how, working with Intel, LTTS has successfully migrated it’s AI Framework AiKno® powered Metadata Extraction pipeline on Intel Xeon processors to achieved outstanding results for Cognitive Automation for Engineering Document Management System, which has helped launch their solution into the Oil and Gas Drilling industry.
Categories: 
Application Type - Machine Learning, Deep Learning, Other | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Deployment Channel - CSP - Microsoft Azure, CSP - Amazon Web Services | Framework Optimizations - TensorFlow, Keras | Industry - Defense and Space, Energy and Utilities | Model Training - Models can be trained - requires labeled data | Operating System - Windows, Linux | Software Libraries - Intel® Distribution for Python | Solution Geographic Availability - Brazil, China (PRC), France, Germany, India, Mexico, Russia, Korea, Taiwan, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Proprietary | Use Case - Data Preparations and Management, Image/Object Detection/Recognition/Classification, Other (pls specify)

This solution brief explores how, working with Intel, LTTS has successfully migrated it’s AI Framework AiKno® powered Metadata Extraction pipeline on Intel Xeon processors to achieved outstanding results for Cognitive Automation for Engineering Document Management System, which has helped launch their solution into the Oil and Gas Drilling industry.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief explores how Huiying Medical, a healthcare technology solutions provider in China, uses Intel technology to accelerate image analytics performance up to 8.24X on their Breast Cancer Detection Solution.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Deployment Channel - CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow, Keras, Torch/PyTorch, Custom/Other | Industry - Healthcare | Model Training - Models cant be re-trained - Inference only, Models can be trained - requires labeled data | 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, China (PRC) | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - ResNet50, InceptionV3, Proprietary | Use Case - Medical imaging, analysis and diagnostics

This solution brief explores how Huiying Medical, a healthcare technology solutions provider in China, uses Intel technology to accelerate image analytics performance up to 8.24X on their Breast Cancer Detection Solution.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper explores the use of Artificial Intelligence techniques to automate the inspection process for identification of defects (surface cracks) in concrete structures efficiently and how Wipro Technologies uses the Intel® Distribution of OpenVINO™ toolkit to optimize the inference time of their model on Intel® architectures.
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 explores the use of Artificial Intelligence techniques to automate the inspection process for identification of defects (surface cracks) in concrete structures efficiently and how Wipro Technologies uses the Intel® Distribution of OpenVINO™ toolkit to optimize the inference time of their model on Intel® architectures.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper discusses how QuEST Global has been developing AI solutions in the medical domain, especially in tumor detection and has used the Intel® Distribution of OpenVINO™ toolkit for improved performance on Intel® Processor-based platforms for these workloads.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Framework Optimizations - Caffe | Industry - Healthcare | Model Training - Models can be trained - requires labeled data | Operating System - Linux | Software Libraries - Intel® Distribution for Python | Solution Geographic Availability - Worldwide, China (PRC), India, Korea, Taiwan, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Other | Use Case - Medical imaging, analysis and diagnostics

This white paper discusses how QuEST Global has been developing AI solutions in the medical domain, especially in tumor detection and has used the Intel® Distribution of OpenVINO™ toolkit for improved performance on Intel® Processor-based platforms for these workloads.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This white paper discusses how being optimized for Intel® architecture, MaxQ AI uses Accipio lx technology to help clinicians quickly and accurately assess whether a patient has an intracranial hemorrhage (ICH).
Categories: 
Application Type - Deep Learning | Compute - Intel® Core™ Processor Family | Framework Optimizations - Caffe, Caffe2 | 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 | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - Proprietary, VGG-19, Unet | Use Case - Medical imaging, analysis and diagnostics

This white paper discusses how being optimized for Intel® architecture, MaxQ AI uses Accipio lx technology to help clinicians quickly and accurately assess whether a patient has an intracranial hemorrhage (ICH).

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief discusses how Digitate, a software vender of Tata Consultancy Services (TCS), offers ignio, a cognitive automation product that combines AI and advanced software engineering to deliver enterprise-wide benefits to IT infrastructure and application operations.
Categories: 
Application Type - Deep Learning | Industry - Defense and Space, Energy and Utilities, Finance and Insurance, Healthcare, Manufacturing, Retail, Software | Operating System - Linux | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Use Case - Conversational Bots and Voice Agents, Facial Detection/Recognition/Classification

This solution brief discusses how Digitate, a software vender of Tata Consultancy Services (TCS), offers ignio, a cognitive automation product that combines AI and advanced software engineering to deliver enterprise-wide benefits to IT infrastructure and application operations.

Intel® AI Builders
Solution Brief
Intel® AI Builders - Solution Brief
This solution brief discusses how Avaya and Intel team up to transform customer service using AI-powered workflow and experiences.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services | Framework Optimizations - Custom/Other | Industry - Accomodation and Food Services, Agriculture, Automotive, Cross-Industry, Defense and Space, Education, Energy and Utilities, Finance and Insurance, Government, Healthcare, High Tech, Industrial Goods and Services, Manufacturing, Real Estate, Rental and Leasing, Retail, Software, Communications, Transportation and Warehousing | Model Training - Models cant be re-trained - Inference only | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Solution Geographic Availability - Worldwide | Topology - LSTM, Other | Use Case - Conversational Bots and Voice Agents

This solution brief discusses how Avaya and Intel team up to transform customer service using AI-powered workflow and experiences.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper discusses how, at every stage of the data life cycle, Intel's data-centric platform optimized for your software environments and libraries provides high-performance solutions. Intel® add-on software packages are available for IBM Cloud Pak* for Data.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Other | Framework Optimizations - TensorFlow, Keras, Torch/PyTorch | Industry - Cross-Industry | Offering Type - 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), Intel® Distribution for Python | Topology - ResNet50 | Use Case - Image/Object Detection/Recognition/Classification, Other (pls specify)

This white paper discusses how, at every stage of the data life cycle, Intel's data-centric platform optimized for your software environments and libraries provides high-performance solutions. Intel® add-on software packages are available for IBM Cloud Pak* for Data.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper discusses how a leading global producer and distributor of blueberries solves data science business challenges with H2O driverless AI* on Intel® Architecture.
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Cross-Industry | Model Training - Models can be trained - requires labeled data | Offering Type - AI Software/SaaS | Operating System - Windows, Linux, Other (pls specify) | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Data Analytics Acceleration Library (Intel® DAAL), Intel® Distribution for Python | Solution Geographic Availability - Worldwide | Use Case - Anomaly Detection, Other (pls specify), Predictive maintenance and analytics, Data Preparations and Management

This white paper discusses how a leading global producer and distributor of blueberries solves data science business challenges with H2O driverless AI* on Intel® Architecture.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
Wipro’s Pipe Sleuth is an automated anomaly detection solution designed to eliminate the need for manual review and coding of underground sewer pipeline video scans. This whitepaper describes an approach used in Pipe Sleuth for improving model accuracy with deep learning.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family | Framework Optimizations - TensorFlow | Industry - Energy and Utilities | Solution Geographic Availability - Worldwide | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Use Case - Anomaly Detection

Wipro’s Pipe Sleuth is an automated anomaly detection solution designed to eliminate the need for manual review and coding of underground sewer pipeline video scans. This whitepaper describes an approach used in Pipe Sleuth for improving model accuracy with deep learning.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper discusses how Dell EMC and Intel technologies accelerate the evolution of analytics and AI for public safety and security.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Xeon Scalable, Intel® FPGA | Deployment Channel - CSP - Other | Industry - Cross-Industry, Defense and Space, Government, Transportation and Warehousing | Solution Geographic Availability - Worldwide | Use Case - Image/Object Detection/Recognition/Classification, Facial Detection/Recognition/Classification, Other (pls specify), Smart City

This white paper discusses how Dell EMC and Intel technologies accelerate the evolution of analytics and AI for public safety and security.

Intel® AI Builders
White Paper
Intel® AI Builders - White Paper
This white paper describes how LEPU Medical leverages Intel solutions to accelerate artificial intelligence (AI) deployment in next-generation digitized electrocardiogram (ECG) diagnostic devices and services.
Categories: 
Application Type - Machine Learning, Deep Learning | Compute - Intel® Neural Compute Stick (NCS2), Intel® Xeon Scalable, Intel® Core™ Processor Family, Intel® Movidius™, Intel® FPGA | Framework Optimizations - Caffe | Industry - Healthcare | Model Training - Models can be trained - data input only required, Models can be trained - online learning, Models can be trained - requires labeled data | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - China (PRC), Other - Asia Pacific | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - ResNet50, VGG-19, Other | Use Case - Image/Object Detection/Recognition/Classification

This white paper describes how LEPU Medical leverages Intel solutions to accelerate artificial intelligence (AI) deployment in next-generation digitized electrocardiogram (ECG) diagnostic devices and services.