The TL Podcast for August 26th: Software’s not dead yet The past two weeks have brought disappointments in earnings such as Coherent and Applied Materials, but also successes such as Analog Devices and Palo Alto Networks. Commercial software vendors such as Salesforce face a
ENTERPRISE AI
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RWS Group Confirms Command A Translate Top Performance
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Leading language and content solutions company @RWSGroup and their @Language_Weaver team confirmed Command A Translate’s top-tier performance on complex translation tasks across multiple languages and domains.
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Nutanix CEO highlights VMware gains, Pure and Snowflake momentum
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Nutanix CEO talks VMware victories, Pure, Snowflake surge, Nvidia falls Nutanix CEO Rajiv Ramaswami says the continued stream of new customers show the company is making progress luring away users of arch-rival VMware. Also, Snowflake and Pure Storage are both on a roll with
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Databricks Named to Madrona Ventures 2025 Intelligent Applications 40
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Databricks has been named to @MadronaVentures
' 2025 Intelligent Applications 40 list! We are honored to be recognized for our innovative approach to helping organizations build high-quality, trustworthy AI agents. Featured today on the NYSE floor, alongside other #IA40 honorees -
AI Agent Operating Costs Real Data 2025
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He publicado un episodio en @ivoox
: "Esto es lo que cuesta mantener un agente de IA (datos reales para 2025) #podcast -
AI Reality Check: Insurance, Trust, Regulation at Lloyd’s London
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Save the Date Sept 30 4:00 pm | Lloyd’s London
AI: Sorting the Myths from Reality Trust & Regulation (EU AI Act, DSA, DMA) Data & Tech Empowerment Market Readiness for insurance & beyond Speakers: Adi Hazan | Pete King | Nicolas Babin
#AI #Insurance #Innovation -
AI Limitations in Enterprise: Building Systems for Flawed Outcomes
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Depends on the solution and the setting! Anyone who says AI is flawless is wrong, obviously. But we build entire systems to help deal with flawed people, flawed processes, and flawed outcomes. We have lots of evidence that AI works for some enterprise use cases, not all of them
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Building Automated AI Legal Team with Multi-Agent System
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I just built an automated AI legal team with multi-agents using Lindy AI.
— Shubham Saboo (@Saboo_Shubham_) 28 août 2025
It has 4 AI agents working together as a team:
1. Legal Researcher
2. Contract Analyst
3. Legal Strategist
4. Legal Team Lead
All of this in 2 mins without writing a single line of Python code. pic.twitter.com/iKRkQHYnT5I just built an automated AI legal team with multi-agents using Lindy AI. It has 4 AI agents working together as a team: 1. Legal Researcher
2. Contract Analyst
3. Legal Strategist
4. Legal Team Lead All of this in 2 mins without writing a single line of Python code. -
Building Enterprise Generative AI Applications
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Building Enterprise #GenerativeAI Applications http://
bit.ly/3HLlekg #GenAI #AIAgents #AgenticAI #AI @mvollmer1 @enilev @CatherineAdenle @anijov @FmFrancoise @AkwyZ @jblefevre60 @EvanKirstel @BetaMoroney @Kevin_ODonovan @pierrepinna @gvalan @JAdP @Shi4Tech @CurieuxExplorer -
Cerebras Inference Celebrates One Year with 6x Speed Gains
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🎂 Cerebras Inference turns 1! 🚀
— Cerebras (@cerebras) 27 août 2025
Let's break it down:
– 6x faster than when we launched — From @Meta Llama to @Alibaba_Qwen 3 to @OpenAI OSS, models running on Cerebras deliver 𝟯,𝟬𝟬𝟬+ 𝘁𝗼𝗸𝗲𝗻𝘀/𝘀𝗲𝗰
– Our inference powers the best AI natives, global enterprises, and… pic.twitter.com/fVVAGcQY7sCerebras Inference turns 1! Let's break it down: – 6x faster than when we launched — From @Meta Llama to @Alibaba_Qwen 3 to @OpenAI OSS, models running on Cerebras deliver 𝟯,𝟬𝟬𝟬+ 𝘁𝗼𝗸𝗲𝗻𝘀/𝘀𝗲𝗰
– Our inference powers the best AI natives, global enterprises, and