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#enterprise-ai

@levie: You can’t automate what you can’t measure. This means that evals are one of the gates to diffusion of AI in the enterpr…

X AI KOLs Timeline ↗ · 5h ago Cached

The tweet highlights the essential role of evals in automating AI for enterprises, emphasizing that measurement is key to understanding and improving non-deterministic processes like agent performance.

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#enterprise-ai

Microsoft thinks its new Copilot ‘super app’ will be as influential as Office

The Verge ↗ · 16h ago Cached

Microsoft has unveiled a redesigned Copilot 'super app' that bundles chat, coding, and an AI assistant named Autopilot into a single interface, positioning it to be as influential as Office for enterprise productivity.

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#enterprise-ai

Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise

arXiv cs.AI ↗ · yesterday Cached

This preprint paper proposes a customizable router for AI coding agents in enterprises to optimize costs by intelligently routing requests, saving 14-21% of model spend annually for large companies.

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#enterprise-ai

@jerryjliu0: predicting model uncertainty is a hard problem. perfectly "calibrated" confidence scores are exact probability values o…

X AI KOLs Timeline ↗ · yesterday Cached

A practical guide on using confidence scores in document extraction to balance automation and accuracy by setting thresholds for precision and recall.

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#enterprise-ai

@Dropbox: Dropbox CTO Ali Dasdan shares what we’ve learned from deploying AI at company scale, from rethinking workflows to measu…

X AI KOLs Timeline ↗ · yesterday

Dropbox CTO Ali Dasdan shares lessons learned from deploying AI at company scale, focusing on rethinking workflows and measuring real impact.

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#enterprise-ai

@kaifulee: One of the key questions for enterprise and government AI is open vs. closed models and data sovereignty. It matters ev…

X AI KOLs Timeline ↗ · yesterday Cached

The tweet discusses the importance of open vs. closed AI models and data sovereignty for enterprises and governments, particularly outside major AI superpowers, with links to a full conversation and a book.

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#enterprise-ai

ElevenLabs’ CEO on margins, IPO timing, and telling customers they’re talking to a bot

TechCrunch AI ↗ · yesterday Cached

The article features an interview with ElevenLabs' CEO discussing the company's AI voice technology, its $22 billion valuation, enterprise adoption, and future plans including IPO timing and ethical guidelines for AI interactions.

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#enterprise-ai

@LangChain: Next on the Interrupt main stage: Building Jarvis: @jpmorgan’s Agent Building Assembly Line How @useapolloio rearchitec…

X AI KOLs Timeline ↗ · yesterday Cached

An announcement for talks at the Interrupt main stage covering AI agent building with LangChain, JPMorgan's agent assembly line, and scaling agentic AI at Omnicom.

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#enterprise-ai

The data layer becomes harder to ignore when an agent starts acting on it

Reddit r/AI_Agents ↗ · 2d ago

James Luan, CTO of Zilliz, argues that data infrastructure becomes more critical as AI agents act on enterprise data, emphasizing the need for data quality, freshness, and proper permissions.

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#enterprise-ai

Stripe's Knowledge AI Platform

Hacker News Top ↗ · 2d ago Cached

Stripe has launched the Knowledge AI Platform, a versatile AI agent system built to handle diverse non-coding knowledge work, from quick queries to complex projects, by connecting employees to over 1,000 internal tools.

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#enterprise-ai

@rohanpaul_ai: Persistent agent memory is a major unsolved problem in enterprises. - Gabe Stengel, co-founder of Rogo(Wall Street AI c…

X AI KOLs Following ↗ · 2d ago Cached

Gabe Stengel discusses persistent agent memory as a major unsolved problem in enterprises, focusing on memory compaction to maintain context and coherence in AI interactions.

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#enterprise-ai

@cnzhihao: Today marks the third week of implementing FDE for the AI town. I've abandoned the previous approach of conducting requ…

X AI KOLs Timeline ↗ · 3d ago Cached

The author describes a three-week process of implementing AI in an AI town, shifting to a bottom-up approach where employees build their own agents using tools like Workbuddy and thincoder for internal deployment.

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#enterprise-ai

Is AI actually the hard part of enterprise AI?

Reddit r/AI_Agents ↗ · 3d ago

The article argues that in enterprise AI, the AI model is often the easiest part, with greater challenges in data trust, governance, and workflow integration, especially in regulated industries like healthcare.

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#enterprise-ai

EvidenT: Building Trustworthy Enterprise Assistants through Evidence Groundedness and Traceability

arXiv cs.AI ↗ · 3d ago Cached

EvidenT is a lightweight pipeline that enhances evidence groundedness and traceability in enterprise retrieval-augmented generation (RAG) systems, improving gold-source hit rate by 29% without model retraining.

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#enterprise-ai

@ycombinator: The YC Early Access Network is filling up fast. On Oct 22, tech leaders from high-growth startups to the Fortune 500 me…

X AI KOLs Following ↗ · 3d ago Cached

The YC Early Access Network event on October 22 will bring together tech leaders from high-growth startups to Fortune 500 companies to meet leading enterprise AI startups, with spots filling up quickly.

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#enterprise-ai

@ycombinator: Confido (@confidotech) is building the AI workforce for consumer brands, automating everything from accounting to sales…

X AI KOLs Following ↗ · 3d ago Cached

Confido, an AI startup automating operations for consumer brands, raised $55 million in Series B funding led by Insight, with co-founders sharing their journey on the Founder Firesides podcast.

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#enterprise-ai

Five AI safety sessions every founder should have on their TechCrunch Disrupt 2026 agenda

TechCrunch AI ↗ · 3d ago Cached

TechCrunch Disrupt 2026 will host five AI safety sessions aimed at founders, covering topics like agent security and enterprise deployment, with insights from Anthropic.

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#enterprise-ai

We tested the client's data before building the RAG system. 4 in 10 answers were right; here's what got it to 9.

Reddit r/AI_Agents ↗ · 3d ago

The article details a pilot project where a team tested client data for a RAG system, initially achieving only 40% accuracy due to issues like conflicting documents and poor retrieval. Through routing, data cleaning, and acronym mapping, accuracy improved to about 90%, highlighting the critical role of data readiness in successful AI transformation.

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#enterprise-ai

How are you handling handoffs when an enterprise agentic AI setup hits something it can't do?

Reddit r/AI_Agents ↗ · 3d ago

The post discusses challenges with handoffs in enterprise agentic AI systems when agents encounter exceptions, and it seeks advice on designing effective escalation paths to prevent issues from being ignored.

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#enterprise-ai

@rohanpaul_ai: Forward Deployed Engineers have a compounding problem: they spend months learning a company’s systems, and hidden depen…

X AI KOLs Timeline ↗ · 4d ago Cached

Codos launches a virtual Chief AI Officer that addresses context loss in Forward Deployed Engineers by deploying company-wide memory and automation agents, with preliminary benchmark scores showing high performance on EnterpriseRAG-Bench.

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