Cohereは、顧客サポート向けに設計された会話型AIプラットフォームです。顧客サポートチームがチケットをより迅速に解決し、費用を削減するのに役立ちます。AIを活用したサポートにより、Cohereは以前のチケットから回答を見つけ、顧客の疑問に即座の解決策を提供します。
Cohereを使用するには、まずウェブサイトからデモを予約してください。デモ中に、ヘルプセンターリンクを共有することで、ボットをヘルプセンターにトレーニングする方法を学ぶことができます。AIパワードボットは、本物の顧客のように顧客の疑問を理解し回答することができます。さらに、Cohereを使用してサポート記事や過去の会話を個別の回答に即座に変換することもできます。Cohereの高度な分析機能であるCardinaを使用して、顧客のトレンドを特定し、素早く問題を解決することもできます。
カスタマー サービスの Cohere サポート メールは次のとおりです: sales@cohere.io 。
Cohere 会社名: Caldera Labs Inc. 。
Cohere 会社の住所: 298 5th Avenue, 7th Floor New York, NY 10001. USA。
Cohere について詳しくは、会社概要ページ (https://cohere.io/company) をご覧ください。 。
Cohere Twitterリンク: https://twitter.com/coherehq
ソーシャルリスニング
AI M&A: Billion Dollar Acquisitions Reshape AI Landscape
Today on The AI Breakdown Brief: - Databricks acquires Mosaic for $1.3B https://venturebeat.com/data-infrastructure/databricks-is-acquiring-mosaicml-for-a-jaw-dropping-1-3-billion/ - Ramp acquires Cohere.io https://techcrunch.com/2023/06/26/as-the-generative-ai-craze-rages-on-fintech-ramp-acquires-ai-powered-customer-support-startup-cohere-io/ - Thompson Reuters acquires legal AI firm CaseText for $650M https://www.reuters.com/markets/deals/thomson-reuters-acquire-legal-tech-provider-casetext-650-mln-2023-06-27/ - Verge surveys 2000 people on AI https://www.theverge.com/c/23753704/ai-chatgpt-data-survey-research - MerlynMind releases education focused large language models https://twitter.com/MerlynMind/status/1673392877899255808 - Waldo 2.0 is drone object identification https://twitter.com/StephanSturges/status/1646568636532903943 - Whale song AI https://twitter.com/TerraMaterFS/status/1563126936607817731 The AI Breakdown helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Breakdown wherever you listen: https://pod.link/1680633614 Learn more: https://breakdown.network/ 0:00 Databricks acquires Mosaic for $1.3B 2:26 Ramp acquires Cohere.io 2:55 Thompson Reuters acquires legal AI firm CaseText 3:33 Verge surveys 2000 people on AI 6:25 MerlynMind releases education focused large language models 7:16 Waldo 2.0 is drone object identification 8:13 Whale song AI
Rethinking how we Scaffold AI Agents - Rahul Sengottuvelu, Ramp
Diagrams, algorithms, and handcrafted heuristics have long played a role in constructing AI agents, but are these traditional scaffolding techniques holding us back? Many current approaches lean too heavily on manual design, neglecting the “bitter lesson” that history has taught us: leveraging massive computation and generic methods often trumps tailored engineering. What if we could rethink our scaffolding strategies for AI agents—aligning them with decades of insight from the broader AI research community? In this talk, Rahul Sengottuvelu, Head of Applied AI at Ramp and co-founder of Cohere.io, will explore how embracing the bitter lesson can transform our approach to building AI agents. Attendees will gain actionable strategies to design more robust, scalable systems that minimize over-engineering while maximizing the power of general-purpose learning. Recorded live at the Agent Engineering Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World's Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-engineer-worlds-fair-2025 About Rahul Rahul Sengottuvelu is the Head of Applied AI at Ramp. Before that, he co-founded Cohere.io, a customer support automation platform that used advanced AI to resolve support tickets more accurately. Cohere.io was acquired by Ramp in May 2023. He is also the author of Jsonformer, a constrained decoding library for LLMs.