Intel

On-Demand Webinar: Efficient AI at the edge

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Efficient AI at the edge with the Intel® Vision portfolio

Huge data processing right at the edge helps companies run their businesses more efficiently, supported by deep learning–enabled sensing devices and servers that are programmed to capture and analyze data streams, including video and images.

This webinar series gives the introduction to efficient AI at the edge using Intel® Vision powerful portfolio of scalable hardware and software solutions.

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Speakers

Andrzej Jankowski

Andrzej Jankowski
IoT Ecosystem Manager

Andrzej Jankowski is an IoT expert with passion for everything AI. During his career at Intel he was responsible for regional marketing, managed sales teams and help customers create IoT solutions. He currently focuses on AI related projects, mostly video analytics. In alternative universe Andrzej runs coding and AI workshops for kids.


Mahmut Meral

Mahmut Meral
Senior AI and IoT Sales Manager

Mahmut Meral has over 10 years of experience in Solution Selling, Technical enablement and Consultancy of Intel products and services at the intersection of IoT, Client, Cloud, Data Science and Edge AI. He is currently a part of Sales and Marketing group where he is responsible for enabling partner Edge AI solutions to run with OpenVINO on Intel Hardware.


Nikolay Panov

Nikolay Panov
Inside Sales EMEA AI Vision Ecosystem Business Development Manager

Nikolay has 25+ years of solid sales experience in IT/Telecom industry. He is part of Intel Inside Sales EMEA team helping ecosystem channel to understand, adopt and leverage the value of Intel Architecture based AI Vision solutions.


Hind Azegrouz

Hind Azegrouz
Edge Inference EMEA Lead

Previous to her current role Hind Azegrouz was Data and AI architect for oil and gas company Repsol, Advanced analytics manager at Avanade, Advanced research fellow in Massachusetts Institute of Technology, research scientist at the Spanish National Center for Cardiovascular research. Hind Azegrouz pursued her PhD studies in the Edinburgh joint research institute (led by university of Edinburgh and heriot watt university) with focus on computer vision applications, she is also an electronics engineer from ENSEIB (Bordeaux, France). Hind Azegrouz is also assistant professor at IE business school where she teaches computer vision and mathematics & statistics.