Jul 14, 2021

Seedtag’s computer vision boosts Olympics brand sponsorships

AI
Seedtag
Olympics
computervision
2 min
Seedtag has developed specific computer vision capabilities to detect sports and help advertisers throughout the Tokyo 2020 Olympic Games

Seedtag, a leader in contextual advertising in EMEA and LATAM, has announced that it has developed specific computer vision capabilities to detect sports and help advertisers harness the power of visual media throughout the Tokyo 2020 Olympic Games. 

Seedtag’s contextual artificial intelligence (AI) technology provides brands with the opportunity to extend their sports sponsorships to visual media content. It provides a level of brand safety on the market and improved performance without using personal data, enabling brands to deliver advertising that is both effective and respectful of privacy.

Using its image recognition technology, Seedtag can deliver highly visible advertising campaigns to more than 500 million users as they view pictures and content across more than 3,000 premium publishers. Their computer vision technology, which has been designed to be highly scalable, allowing millions of classifications to be processed daily, helps brands reach consumers by taking advantage of a technology that would allow them to harness the power of sports imagery. 

 

Live sporting event content

 

The Tokyo Olympics are due to start this month, taking place between 23 July and 8 August. Due to the COVID-19 pandemic and last summer’s lack of live sports events, the consumption for this type of content has experienced a global upward trend, with the consumption of sports news increasing by more than 35%, according to Seedtag. 

Jorge Poyatos, co-CEO of Seedtag, says: “Throughout the Olympics, we are providing advertisers with premium inventory to enable them to associate their brand with the event. More than 70% of the adult population finds Olympic athletes inspirational. With the help of contextual AI, advertisers will be able to reach these people by broadcasting their campaigns on web articles dedicated to the subject by integrating their messages into the content where these athletes are featured. In this way, brands can benefit from the “halo effect” and associate themselves with the values represented by these people and the different sports they play.”

To continue expanding its Computer Vision capabilities, Seedtag has been particularly attentive to ensure that its image recognition technology detects that images on publisher sites explicitly feature sports. Trained to detect more than 30 sports, the model is able to indicate and discern sports such as athletics, badminton, basketball, boxing, cycling, fencing, football, golf, handball, martial-arts, rugby, surfing, swimming, table-tennis, tennis, volleyball and weightlifting, among others.

 

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Aug 3, 2021

Nvidia’s platform for AI startups passes 8,500 members

AI
Nvidia
platform
Startups
2 min
Nvidia has announced it is tracking more than 8,500 AI startups through its Inception AI startup programme

NVIDIA Inception, an acceleration platform for AI startups, has now surpassed 8,500 members. That’s about two-thirds of the total number of AI startups worldwide, as estimated by Pitchbook.

NVIDIA Inception is a programme built to accommodate every startup that is accelerating computing, at every stage in their journey. All programme benefits are free of charge and startups never have to give up equity to join.

Since Inception’s launch in 2016, it has grown more than tenfold. With total cumulative funding of over $60 billion and members in 90 countries, NVIDIA Inception is one of the largest AI startup ecosystems in the world. Growth has accelerated year over year, with membership increasing to 26% in 2020, and reaching 17% in the first half of 2021.

 

Data from across the world

 

Inception figures show the United States leads the world in terms of both the number of AI startups, representing nearly 27%, and the amount of secured funding, accounting for over $27 billion in cumulative funding. 42% of US-based startups were in California, with 29% in the San Francisco Bay Area. 

Behind the US is China, in terms of both funding and company stage, with 12% of NVIDIA Inception members based there. India comes in third at 7%, with the UK right behind at 6%.

AI startups based in the US, China, India, and the UK account for just over half of all startups in NVIDIA Inception. Following in order after these are Germany, Russia, France, Sweden, Netherlands, Korea and Japan.

 

Industry acceleration

 

In terms of industries, healthcare, IT services, intelligent video analytics (IVA), media and entertainment (M&E) and robotics are the top five in NVIDIA Inception. AI startups in healthcare account for 16% of Inception members, followed by those in IT services at 15%. 

More than 3,000 AI startups have joined Nvidia Inception since 2020. “Some countries are accelerating their ecosystem of AI startups by investing money and encouraging the local players to create more companies,” said Serge Lemonde, global head of Nvidia Inception, in an interview with VentureBeat.

“In our programme, what we are looking at is to help them all,” Lemonde said. “The lesson here is really having this window on the landscape and helping the startups all around the world — [this] is helping us understand the new trends. We can help more startups by developing our software  and platforms for the upcoming trends.”

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