DEV Community

DRIX10
DRIX10

Posted on Originally published at blogs.drix10.com

AI in Enterprise Applications #249

#tech #ai #coding

🚀 AI News - Strategic Partnerships

Akamai and Anthropic Announce $11.6 Billion Partnership

Akamai, a leading cloud computing company, and Anthropic, a cutting-edge AI research organization, have recently announced a multi-year strategic partnership valued at approximately $11.6 billion over 7 years. This agreement represents Akamai's largest commercial contract to date and focuses on providing dedicated cloud computing capacity and managed services to support Anthropic's AI research and development.

Key Points:

  • Strategic Partnership: Akamai and Anthropic have formed a strategic partnership to provide dedicated cloud computing capacity and managed services to support Anthropic's AI research and development.

  • Financial Terms: The partnership is valued at approximately $11.6 billion over 7 years, representing Akamai's largest commercial contract to date.

  • Managed Services: Akamai will provide managed services to support Anthropic's AI research and development, including cloud computing capacity and infrastructure management.

  • AI Research: The partnership will enable Anthropic to focus on its AI research and development, with Akamai providing the necessary infrastructure and support.

🔗 Resources:

  • Original post URL
  • Original source
  • Akamai
  • Anthropic
  • AI research and development partnership

🤖 AI News - AutoR&D

AutoR&D: A New AI-Driven R&D Loop

Meet SFR-AutoR&D, a new AI-driven R&D loop that enables AI agents to run the entire R&D loop, from choosing what to try to proving it works. Highlights of AutoR&D include:

  • AutoR&D-Engineer makes heavily optimized code faster: up to 1.84× on pandas reductions, +17.5% QPS on USearch
  • AutoInfra: a training API that scales out on demand, from a single LoRA run to inference fleets spanning thousands of GPUs

Key Points:

  • AutoR&D: SFR-AutoR&D is a new AI-driven R&D loop that enables AI agents to run the entire R&D loop.

  • AutoR&D-Engineer: AutoR&D-Engineer makes heavily optimized code faster, with up to 1.84× on pandas reductions and +17.5% QPS on USearch.

  • AutoInfra: AutoInfra is a training API that scales out on demand, from a single LoRA run to inference fleets spanning thousands of GPUs.

  • AI Research: The AutoR&D loop enables AI research and development, with a focus on scalability and efficiency.

🔗 Resources:

🚀 AI News - Clinical Speech AI

Building and Evaluating Clinical Speech AI

Join Nebius on October 1 for Building and Evaluating Clinical Speech AI. Learn how to deploy Nemotron Speech on Nebius while adapting speech recognition to medical terminology and maintaining privacy within clinical workflows.

Key Points:

  • Clinical Speech AI: Nebius is hosting a webinar on Building and Evaluating Clinical Speech AI.

  • Nemotron Speech: Nemotron Speech will be deployed on Nebius, with a focus on adapting speech recognition to medical terminology.

  • Clinical Workflows: The webinar will cover maintaining privacy within clinical workflows.

  • Registration: Registration is available on the Nebius website.

🔗 Resources:

🤖 AI News - Automation

Digit Joins Schaeffler Group Automotive Symposium

Digit, a leading robotics company, has joined the Schaeffler Group Automotive Symposium to demonstrate its work across Schaeffler plants. The partnership aims to make production more flexible, efficient, and scalable, advancing automation and shaping motion.

Key Points:

  • Partnership: Digit has partnered with Schaeffler Group to advance automation and shape motion.

  • Automotive Symposium: Digit has joined the Schaeffler Group Automotive Symposium to demonstrate its work.

  • Production Efficiency: The partnership aims to make production more flexible, efficient, and scalable.

  • Automation: The partnership will advance automation and shape motion.

🔗 Resources:

🚀 AI News - AI Recommendations

Ranking Yourself #1 in a "Best of" List

We analyzed ~10K citations and found that recommendation rates were ~7% when AI cited a brand's own listicle vs. ~4% when it didn't. This and more on our latest Scrunch Labs deep dive.

Key Points:

  • AI Recommendations: We analyzed ~10K citations to understand the impact of ranking yourself #1 in a "best of" list on AI recommendations.

  • Recommendation Rates: Recommendation rates were ~7% when AI cited a brand's own listicle vs. ~4% when it didn't.

  • Scrunch Labs: The analysis was conducted by Scrunch Labs, a leading AI research organization.

  • Deep Dive: The full analysis is available on the Scrunch Labs website.

🔗 Resources:

  • Original post URL
  • Original source
  • Scrunch Labs
  • AI recommendations
  • Listicle analysis

Read More & Connect

Interactive version: blogs.drix10.com

Written by Drishtant Ghosh (Drix10), a technical founder and engineer working across AI systems, developer infrastructure, and cybersecurity.

Top comments (0)