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On Demand Now

Ready, Steady, Stream: Introducing Intel® Distribution of OpenVINO™ toolkit Deep Learning Streamer


The Intel® Distribution of OpenVINO™ toolkit Deep Learning (DL) Streamer enables developers to create and deploy complex media analytics pipelines across Intel® architecture from edge to cloud.

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The Intel® Distribution of OpenVINO™ toolkit Deep Learning (DL) Streamer, now part of the default installation package, enables developers to create and deploy complex media analytics pipelines across Intel® architecture from edge to cloud. It enables optimal pipeline interoperability with a familiar developer experience built using the GStreamer multimedia framework. The Intel® Distribution of OpenVINO™ toolkit DL Streamer enables flexible streaming analytics and pipeline, and optimized inferencing across Intel® architecture, from CPU and iGPU, to Intel® Movidius™ VPU.

In this webinar, you will:

  • Get an overview of the new Intel® Distribution of OpenVINO™ toolkit Deep Learning (DL) Streamer
  • See relevant demonstrations
  • Learn how to use this new feature
  • And more

Try the new Intel® Distribution of OpenVINO™ toolkit DL Streamer today!

Neena Maldikar, AI Product Manager, Intel Corporation

She has a master’s degree in Computer Science from the Portland State University. She has been working at Intel for past 7 years. Before joining the Video Analytics team, she worked on developing libraries for contextual awareness and implemented use cases to make PC smarter.

Zoe Cayetano, AI Product Manager, Intel Corporation

Passionate about democratizing technology access for everyone and working on projects with outsized impact on the world, Zoe is a Product Manager for AI and IoT working on a variety of interdisciplinary business and engineering problems. Prior to Intel, she was a data science researcher for a particle accelerator at Arizona State University, where she analyzed electron beam dynamics of novel x-ray lasers that were used for crystallography, quantum materials and bioimaging. She holds Bachelor's degrees in Applied Physics and Business. Philippines-born, she is currently based in San Francisco, California.

Mikhail Nikolskii, Senior Software Engineer, Intel Corporation

Mikhail Nikolskii is the technical lead of DL Streamer. He has worked at Intel for over 15 years on various Intel software products. Mikhail has a master’s degree in Computer Science from Moscow State University.


On Demand Now

Microsoft Azure and ONNX Runtime for Intel® Distribution of OpenVINO™ toolkit


Unlock insights to deploy AI models with streamlined training to inference using Intel® Distribution of OpenVINO™ toolkit, Microsoft Azure and ONNX Runtime.

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Unlock insights to deploy AI models with streamlined training to inference using Intel® Distribution of OpenVINO™ toolkit, Microsoft Azure and ONNX Runtime. Train on Microsoft Azure, streamline on ONNX Runtime, and infer on Intel® Distribution of OpenVINO™ toolkit in order to accelerate time-to-production. With ready-to-use apps available on Microsoft Azure marketplace, take advantage of the power of a streamlined train-to-deployment pipeline.

In this webinar, you will:

  • Get an overview how to accelerate train-to-deploy workflows
  • See relevant demonstrations
  • Learn how to use these apps
  • And more

Download Intel® Distribution of OpenVINO™ toolkit

Zoe Cayetano, AI Product Manager, Intel Corporation

Passionate about democratizing technology access for everyone and working on projects with outsized impact on the world, Zoe is a Product Manager for AI and IoT working on a variety of interdisciplinary business and engineering problems. Prior to Intel, she was a data science researcher for a particle accelerator at Arizona State University, where she analyzed electron beam dynamics of novel x-ray lasers that were used for crystallography, quantum materials and bioimaging. She holds Bachelor's degrees in Applied Physics and Business. Philippines-born, she is currently based in San Francisco, California.

Savitha Gandikota, Edge-to-Cloud Solutions Product Manager, Intel Corporation

Savitha is a Technical Business Leader at Intel, driving edge AI. She brings a unique blend of expertise of hardware and software architectures and technologies through her experiences from Server, Networking and Embedded industries. Her passion for building products from the ground up keeps her busy in driving core capabilities needed for edge computing revolution. Disruption due to AI is here and building scalable Edge-to-Cloud solutions is the key to success.

Arindam Paul, Product Manager, Intel Corporation

Arindam is a veteran in the technology industry having led teams in EMC, Cisco, Akamai and Brocade to market leading innovations. Insanity workouts keep him hungry and Technology innovations keep him foolish.

Manash Goswami, Principal Program Manager, Microsoft Corporation

Manash Goswami is Principal Program Manager in the AI Frameworks team at Microsoft. In this role Manash is responsible for defining the strategy for integrating with HW platforms to enable ML model execution with the ONNX Runtime and enabling inference solutions in mobile and IoT platforms with ONNX Runtime.

Pradeep Sakhamoori, Edge-to-Cloud Solutions Architect, Intel Corporation

Pradeep is a Solutions Architect at Intel. His earlier work in Autonomous Driving Group (MobilEye) at intel includes implementing neural network models and contributing to Autonomous Software Stack. Currently, he now works with multiple Cloud Service Providers (CSPs) on various initiatives in accelerating edge AI.


On Demand Now

Optimization Best Practices to Maximize Apps with OpenVINO™ toolkit


The Intel® Distribution of OpenVINO™ toolkit enables high-performance, deep learning deployments. We will discuss optimization best practices to maximize your deep learning metrics, including throughput, accuracy and latency.

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The Intel® Distribution of OpenVINO™ toolkit enables high-performance, deep learning deployments. We will discuss optimization best practices to maximize your deep learning metrics, including throughput, accuracy and latency.

In this webinar, you will:

  • Get an understanding of the different optimization metrics that are important in deep learning
  • Learn about the available tools and techniques to optimize your deep learning applications within Intel® Distribution of OpenVINO™ toolkit
  • See a demo of how to use the DL Workbench to visually fine-tune your models
  • Explore benchmarking resources to test on your own applications
  • And more

Download Intel® Distribution of OpenVINO™ toolkit today!

Zoe Cayetano, AI Product Manager, Intel Corporation

Passionate about democratizing technology access for everyone and working on projects with outsized impact on the world, Zoe is a Product Manager for AI and IoT working on a variety of interdisciplinary business and engineering problems. Prior to Intel, she was a data science researcher for a particle accelerator at Arizona State University, where she analyzed electron beam dynamics of novel x-ray lasers that were used for crystallography, quantum materials and bioimaging. She holds Bachelor's degrees in Applied Physics and Business. Philippines-born, she is currently based in San Francisco, California.

Anna Belova, Deep Learning Software Engineer, Intel Corporation

Anna is a Deep Learning Software Engineer at Intel. Her role is to make Intel customers happy with OpenVINO providing a technical support. Before this, she worked on other Intel software products like MediaSDK and pre-sales support of Android-based mobile devices. She graduated with my Bachelor’s in Business Informatics and Master’s in Applied Mathematics and Informatics from the Higher School of Economics, Nizhny Novgorod, Russia.

Dmitry Temnov, Technical Consulting Engineer, Intel Corporation

Dmitry Temnov is a Technical Consulting Engineer at Intel, enabling customers to accelerate computer vision and deep learning applications using Intel® Distribution of OpenVINO™ toolkit.

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