We’re proud to announce a multi‑year partnership with the @AstonMartinF1 team! Every team member will now have access to our enterprise‑grade models and agentic AI platform empowering them to operate with confidence in one of the most demanding data environments in global sport. Watch out for Cohere branding on the car starting this weekend at the #AustralianGP 🇦🇺 Learn more here: astonmartinf1.com/en-GB/news… Aston Martin Aramco F1 Team (@AstonMartinF1) Welcoming @cohere to the team as our Official Generative AI Partner to help accelerate AI innovation. Learn more: astonmartinf1.com/en-GB/news… — https://nitter.net/AstonMartinF1/status/2029165042998890720#m
ENTERPRISE AI
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Does AI acceleration help or hurt companies?
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The biggest question every company faces right now – “does AI acceleration help me or hurt me?”
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Will Large Models Replace Traditional Machine Learning for Tabular Data?
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There's one question that persists: will conventional ML still remain relevant, given the advancement of large models, which can very much analyse the tabular data and make models out of it? There can be multiple arguments here that large models may outperform, or it might be just not good enough. But the major issue would be actual deployment in real world system where they need to work with tabular data and generate the outcomes as fast as possible. if it can do then traditional ml can be bypassed easily imo
→ View original post on X — @avikumart_, 2026-03-04 04:33 UTC
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Qwen AI dominance and Alibaba leadership shakeup
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Qwen team:
*each new model family obliterates SOTA*
*bonus vision*
*dense models are ngmi? Not on my watch*
*literally own the Pareto frontier for years*
*ultra based capybara mascot* Alibaba:
*nuke leadership* -
Google Launches Retail Business Agent with Flash-Lite Model
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Second, using 3.1 Flash-Lite in @GoogleAIStudio, we built a retail business agent that plans and executes multi-step tasks for you like reporting and dashboard automation – saving you time to focus on the things that matter most.
— Google AI (@GoogleAI) 3 mars 2026
Beginning today, the model is rolling out in… pic.twitter.com/XOyQ6nGZROSecond, using 3.1 Flash-Lite in @GoogleAIStudio
, we built a retail business agent that plans and executes multi-step tasks for you like reporting and dashboard automation – saving you time to focus on the things that matter most. Beginning today, the model is rolling out in -
MLOps Stack and AI Agents: Critical System Design Considerations
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Very much succinct write up on each tech stack! 1) MLOps: very much important to note done tools you are gonna use and their tradeoffs. system design is critical to know where you are gonna fit AI or not. everything is AI first now a days. 2) Agents: Most of the critical tool
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AI Factories and Intelligent Edge: Scaling Deployment Challenges
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We were thrilled to have our CMO and President of Americas, Alexis Crowell, join John Furrier on Siliconangle theCUBE at the NYSE to discuss the future of AI Factories and the Intelligent Edge. As AI shifts from training to massive scale deployment, the bottleneck is not just
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OpenEnv Hackathon: AI Experts Interactions and Enterprise Workflows
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Don’t forget this weekend’s OpenEnv Hackathon with @cerebral_valley and @PyTorch
. We're excited about:
→ simulated interactions with human experts
→ nuanced, multi-dimensional reward signals
→ enterprise workflows with schema drift -
Gemini 3.1 Flash Lite Preview on Vertex AI
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BREAKING : Gemini 3.1 Flash Lite Preview is now available on Vertex AI! "Designed for high-volume, cost-sensitive traffic, Gemini 3.1 Flash Lite delivers a massive quality leap over previous Lite generations while matching the core performance of Gemini 2.5 Flash."
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AI Demands Unprecedented Executive Action and Governance
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I think that AI is a unique case that is going to invite actions were previously thought out of bounds and executives need to be aware of that