Greymatter cover image

Greymatter

Jason Risch | Three Trends in VC-Backed Cloud

Apr 27, 2023
13:37
Snipd AI
Exploring the rise of AI/ML, vertical specialization, and security in VC-backed cloud technology. Delving into AI model architecture, enterprise adoption, industry-specific clouds, and cloud security. Highlighting funding trends, challenges in security data management, and market outlook for the cloud sector.
Read more

Podcast summary created with Snipd AI

Quick takeaways

  • Key takeaway 1: AI/ML integration in cloud technology is rapidly advancing, with startups focusing on smaller early-stage investments and partnerships with major players.
  • Key takeaway 2: The trend of vertical specialization in the cloud industry is growing, offering tailored solutions to specific verticals like banking and emphasizing the importance of data security.

Deep dives

Trend one: The Rise of AIML and Cloud

The podcast discusses the significant impact of AIML within the cloud ecosystem, highlighting major advancements in AI technology such as foundation models like Dolly and Chat GPT. Companies are focusing on developing core foundation models, middleware services, and applications on top of AI technology, creating layers similar to those in cloud computing. Startups are leveraging AI advancements to disrupt established players, offering opportunities across various layers of the AI ecosystem.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode