Data viz sparks joy, CBInsights

FTX, FTX.US, FTX Ventures, Alameda Research, and Sam Bankman-Fried in an individual capacity have invested in or acquired more than 160 companies (excluding token-based ownership stakes) which may have some value to creditors as part of the bankruptcy process. Alleged amphetamine-imbibing fraudster Samuel Bankman-Fried saw FTX and his web of companies implode last week, filing for bankruptcy while owing $8B to reportedly 1M creditors. But where is their value to be found?

The 250 companies driving generative AI forward. Expanding on Sequoia’s generative AI market map-CB Insights database mined to map 250 startups across 45 different categories, from protein design to patent generation, building on Sequoia Capital’s recent work in this fast-growing space.

The field of generative AI — and the hype around it — has exploded in recent months.

Generative AI comprises artificial intelligence technologies and applications that generate entirely new content: code from natural language, 3D assets from 2D images, and even human-like voices from scripts. For enterprises, generative AI can augment and accelerate creative tasks such as design prototyping, as well as reduce costs by, for example, allowing fashion brands to generate models without hiring external talent.

A number of advances in the field of AI in the last decade — particularly research from big tech companies and OpenAI — have contributed to rapid progress in this space.

The introduction of generative adversarial networks (GANs) in 2014 powered a slew of “deepfake” videos and images. In the following years, powerful language models drastically improved text generation and comprehension. Just this year, we saw the release of several multimedia models that can, for instance, create realistic visual depictions of text prompts like “jackfruit doing karate in the snow.”

But the applications of generative AI extend far beyond media and entertainment. Startups are now using these technologies to automate parts of patent-writing, design new proteins and drugs, power the next generation of search engines, design building architectures, and create better experiences in virtual worlds and games.

The availability of open-source tools and APIs have led to an explosion of new startups entering the market. Sequoia Capital recently published a detailed report on the topic and mapped the landscape with 109 generative AI startups and tools.

CB Insights mined the database to find other generative AI companies and build on Sequoia’s work.

In the market map below, 250 startups developing generative AI applications across 45 different categories have been identified, including in specific industries like gaming, education, healthcare, retail, and legal.

The map includes startups only. Companies that were acquired by larger corporations , as well as open-source tools by citizen developers have been excluded, A list of notable generative AI model developers — including research institutions, startups, and big tech companies that are driving innovation in the space have been given at the bottom of the map.

For report, https://www.communicationstoday.co.in/state-of-blockchain-cbinsights/

CT Bureau