TD SYNNEX became the first distributor of Intel Geti, Intel’s AI software platform that creates computer vision models in a much shorter time and with less data, in the USA and Europe.

Following the successful launch of its “Destination AI” program earlier this year, TD SYNNEX will further expand its AI offerings and training capabilities by introducing the Intel Geti software platform, a new solution that uses AI to analyze and understand images and video. TD SYNNEX will serve as the platform’s first distributor in the US and Europe.

In TD SYNNEX’s recent Direction of Technology report, it was also shared that the number of partners offering AI/ML solutions has increased by 625 percent globally and that AI/ML is the most important technology skill that business partners in North America are looking for in candidates they want to hire in the coming months.

Intel Geti Ai Platform Distributor TD SYNNEX Becomes First In The U.S. And Europe

“Our partners, including enterprise and independent software vendors, are increasing their offerings that include AI solutions and are looking for support and training tools to support this rapid growth and overcome the challenges they often face,” said Lisa McGarvey, vice president of Data, AI and IoT Solutions at TD SYNNEX North America. . This artificial intelligence platform plays a critical role in this process. “With the Intel Geti platform, which is part of our Destination AI program, we are adding another innovative solution to the powerful artificial intelligence tools, opportunities and services we offer to our business partners.” said.

At the enterprise level, the Intel Geti platform is used to build vision models for detection, classification, segmentation and anomaly-based tasks in any industry where computer vision can bring business value. Trained models can be used to make inferences on all modern hardware platforms, regardless of CPU or GPU manufacturer. To make it easier to use, models can be automatically optimized for the “Intel Distribution of OpenVINO Toolkit” so that inferences can be made with improved performance on Intel architectures.

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