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Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – Huiying Medical Breast Cancer Detection Solution

This Product Brief highlights how Huiying’s Breast Cancer Detection Solution is a next-generation, AI-based intelligent image diagnosis and multi-modality system to help medical staff improve efficiency in imaging, diagnosis, clinical decision-making, and disease management. The technology is designed for both clinical accuracy and efficiency, which is expected to help reduce cost of diagnosis and treatment. Huiying’s breast cancer screening technology utilizes deep neural networks to support multi-modality data operations and greatly improve data processing and inference efficiency.
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 | 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 | Toolkits - Intel® Distribution of OpenVINO™ toolkit | Topology - ResNet50, InceptionV3, Proprietary | Use Case - Medical imaging, analysis and diagnostics

This Product Brief highlights how Huiying’s Breast Cancer Detection Solution is a next-generation, AI-based intelligent image diagnosis and multi-modality system to help medical staff improve efficiency in imaging, diagnosis, clinical decision-making, and disease management. The technology is designed for both clinical accuracy and efficiency, which is expected to help reduce cost of diagnosis and treatment. Huiying’s breast cancer screening technology utilizes deep neural networks to support multi-modality data operations and greatly improve data processing and inference efficiency.

Intel® Network Builders
Solution Brief
Intel® Network Builders - Solution Brief
Intel® Network Builders - Solution Brief

Lenovo Modular Edge Systems Target Enterprise, Telco Edge

Intel® architecture-based Lenovo ThinkSystem SE350 and ThinkSystem SE650 offer performance and flexibility for 5G, smart city, autonomous vehicles, and other emerging applications
Categories: 
Categories - Integrated Solutions | Network Location - Radio Access Network (RAN), On Premises | Network Technologies - Network Edge, Multi-Access Edge Computing (MEC) | Optimizations - OVS-DPDK | Verticals/Industries - Government , Telecommunications, Enterprise | VNFS and CNFs - Content Delivery Networks (CDN) | Workloads and Use cases - Connected Cars, Content Distribution (CDN), Security, Media Analaytics

Intel® architecture-based Lenovo ThinkSystem SE350 and ThinkSystem SE650 offer performance and flexibility for 5G, smart city, autonomous vehicles, and other emerging applications

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – IFDAQ Fashion & Luxury Predictive Analytics: Training

This Product Brief highlights how IFDAQ is an innovative AI-system that provides insight into the real market & benchmark values of the fashion and luxury industry. With the IFDAQ solution fashion & luxury stakeholders know today the results of their decisions for tomorrow.
Categories: 
Application Type - Machine Learning, Deep Learning, Other | Compute - Intel® Xeon Scalable | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Arts and Entertainment, Finance and Insurance, Retail | 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) | Solution Geographic Availability - Worldwide | Use Case - Data Analytics

This Product Brief highlights how IFDAQ is an innovative AI-system that provides insight into the real market & benchmark values of the fashion and luxury industry. With the IFDAQ solution fashion & luxury stakeholders know today the results of their decisions for tomorrow.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – IFDAQ Fashion & Luxury Predictive Analytics: Inference

This Product Brief highlights how IFDAQ is an innovative AI-system that provides insight into the real market & benchmark values of the fashion and luxury industry. With the IFDAQ solution fashion & luxury stakeholders know today the results of their decisions for tomorrow.
Categories: 
Application Type - Machine Learning, Deep Learning, Other | Compute - Intel® Xeon Scalable | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Arts and Entertainment, Finance and Insurance, Retail | 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) | Solution Geographic Availability - Worldwide | Use Case - Data Analytics

This Product Brief highlights how IFDAQ is an innovative AI-system that provides insight into the real market & benchmark values of the fashion and luxury industry. With the IFDAQ solution fashion & luxury stakeholders know today the results of their decisions for tomorrow.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – InstaDeep AI Optimization Tool for Container Packing

This Product Brief highlights how InstaDeep’s efficient optimization solver that can pack items into fixed-size containers while minimizing a cost function, e.g. the number of bins required, the surface of the packing etc, whilst adhering to constraints such as preventing items from overlapping, gravity and the need for a physical support, limited rotations, packing stability and weight distribution amongst others.
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 | Model Training - Models can be trained - data input only required | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - Worldwide | Topology - Proprietary | Use Case - Other (pls specify), Factory Automation

This Product Brief highlights how InstaDeep’s efficient optimization solver that can pack items into fixed-size containers while minimizing a cost function, e.g. the number of bins required, the surface of the packing etc, whilst adhering to constraints such as preventing items from overlapping, gravity and the need for a physical support, limited rotations, packing stability and weight distribution amongst others.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – Avaya Conversational Intelligence

This Product Brief highlights how the Avaya Conversational Intelligence is an innovative, end-to-end AI solution that automatically transcribes voice interactions into text, so contact centers can improve the customer experience they deliver and create loyal customers. Avaya Conversational Intelligence substantially reduces after-call agent work, summarizes interaction details into actionable intelligence, initiates workflow actions and records voice interactions to assist with regulatory compliance.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services | Framework Optimizations - Custom/Other | Industry - Cross-Industry, Finance and Insurance, Healthcare, Other, Communications | Model Training - Models cant be re-trained - Inference only | Offering Type - AI Software/SaaS | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL) | Solution Geographic Availability - Brazil, China (PRC), France, Germany, India, Japan, Mexico, Russia, Korea, Taiwan, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Topology - Other, LSTM | Use Case - Conversational Bots and Voice Agents

This Product Brief highlights how the Avaya Conversational Intelligence is an innovative, end-to-end AI solution that automatically transcribes voice interactions into text, so contact centers can improve the customer experience they deliver and create loyal customers. Avaya Conversational Intelligence substantially reduces after-call agent work, summarizes interaction details into actionable intelligence, initiates workflow actions and records voice interactions to assist with regulatory compliance.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – DarwinAI Generative Synthesis

This Product Brief highlights how DarwinAI's Generative Synthesis technology uses AI itself to observe and understand a neural network and then generates a number of new and highly optimized versions of said network. The result are new and entirely unique networks that are not only significantly smaller than the original, but infer faster without sacrificing functional accuracy.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable, Intel® Core™ Processor Family, Intel® Movidius™, Intel® Neural Compute Stick (NCS2) | Deployment Channel - On-premise (Private Cloud, Other) | Framework Optimizations - TensorFlow | Industry - Automotive, Cross-Industry, Defense and Space, Finance and Insurance | 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 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) | Solution Geographic Availability - Brazil, China (PRC), France, Germany, India, Japan, 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 - ResNet50, Proprietary | Use Case - Image / Object Detection / Recognition / Classification, Facial Detection / Recognition / Classification

This Product Brief highlights how DarwinAI's Generative Synthesis technology uses AI itself to observe and understand a neural network and then generates a number of new and highly optimized versions of said network. The result are new and entirely unique networks that are not only significantly smaller than the original, but infer faster without sacrificing functional accuracy.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – Domino Data Science Platform

This Product Brief highlights how the Domino Data Science Platform accelerates the data science lifecycle by providing a unified architecture for model development, deployment, and management. The Domino Data Science Platform removes DevOps pain with one-click, unlimited compute and parallel experimentation and eliminates re-work and painful reconstruction with easy experiment reproducibility anywhere along the lifecycle .
Categories: 
Application Type - Machine Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, On-premise (Private Cloud, Other) | Framework Optimizations - Custom/Other | Industry - Cross-Industry, Finance and Insurance, Other, Software | Model Training - Models cant be re-trained - Inference only | Offering Type - AI Platform as a Service (AI PaaS) | Operating System - Linux | Software Libraries - Intel® Math Kernel Library (Intel® MKL), Intel® Distribution for Python | Solution Geographic Availability - Brazil, China (PRC), France, Germany, India, Japan, Mexico, Russia, Korea, Taiwan, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Topology - Other | Use Case - Data Preparations and Management, Data Analytics

This Product Brief highlights how the Domino Data Science Platform accelerates the data science lifecycle by providing a unified architecture for model development, deployment, and management. The Domino Data Science Platform removes DevOps pain with one-click, unlimited compute and parallel experimentation and eliminates re-work and painful reconstruction with easy experiment reproducibility anywhere along the lifecycle .

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – GigaSpaces InsightEdge

This Product Brief highlights how GigaSpaces InsightEdge contains all the necessary frameworks for scalable data-driven solutions including SQL, Spark, streaming, machine learning and deep learning. Applications can leverage faster and smarter insights from machine learning models running on any data source whether structured, unstructured or semi-structured while seamlessly accessing historical data from data lakes or Amazon S3.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Deployment Channel - CSP - Amazon Web Services, CSP - Google Cloud, CSP - Microsoft Azure, CSP - Other, On-premise (Private Cloud, Other), Hybrid Cloud | Framework Optimizations - TensorFlow | Industry - Cross-Industry, Finance and Insurance, Government, Manufacturing, Retail | 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 for Deep Neural Networks (Intel MKL-DNN) | Solution Geographic Availability - Brazil, China (PRC), France, Germany, India, Japan, Mexico, Russia, Korea, Taiwan, United Kingdom, United States, Other - Asia Pacific, Other - Europe and Africa, Other - North and South America | Topology - LSTM, RNN | Use Case - Data Preparations and Management, Data Analytics, Conversational Bots and Voice Agents

This Product Brief highlights how GigaSpaces InsightEdge contains all the necessary frameworks for scalable data-driven solutions including SQL, Spark, streaming, machine learning and deep learning. Applications can leverage faster and smarter insights from machine learning models running on any data source whether structured, unstructured or semi-structured while seamlessly accessing historical data from data lakes or Amazon S3.

Intel® AI Builders
Product Brief
Intel® AI Builders - Product Brief
Intel® AI Builders - Product Brief

Intel AI Builders Solution Snapshot – Gramener Crowd Counting Solution

This Product Brief highlights how Gramener's crowd counting solution helps organizations count people, objects or any custom-defined shapes. The AI algorithms adopt a density-based estimation to develop an accurate estimate, packaged into an interactive human-in-the-loop workflow. Organizations need solutions to estimate the count of crowds. This could be to count audience footfalls in malls, count the number of biological cells in the drug discovery process or count the number of penguins to track declining populations, to name a few. Gramener's helps solve the challenges encountered in traditional counting approaches.
Categories: 
Application Type - Deep Learning | Compute - Intel® Xeon Scalable | Framework Optimizations - Torch/PyTorch | Industry - Cross-Industry, Government, Healthcare, Not for profit | Model Training - Models cant be re-trained - Inference only | Operating System - Linux | Solution Geographic Availability - Brazil, China (PRC), France, Germany, India, Japan, 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 - Faster RCNN | Use Case - Data Preparations and Management

This Product Brief highlights how Gramener's crowd counting solution helps organizations count people, objects or any custom-defined shapes. The AI algorithms adopt a density-based estimation to develop an accurate estimate, packaged into an interactive human-in-the-loop workflow. Organizations need solutions to estimate the count of crowds. This could be to count audience footfalls in malls, count the number of biological cells in the drug discovery process or count the number of penguins to track declining populations, to name a few. Gramener's helps solve the challenges encountered in traditional counting approaches.