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📂 서류 처리는 AI에게, 당신은 더 '가치 있는' 조직 관리에 집중하세요. 신규 입사자 온보딩부터 복잡한 비용 정산, 반복되는 사내 규정 문의까지. 이제 매뉴얼을 학습해 스스로 판단하고 처리하는 AI Agent가 든든한 파트너로 합류합니다. 베스핀글로벌이 운영·HR 부서의 업무 병목을 시원하게 뚫어줄 핵심 비법을 공개합니다. ✅ 운영/HR 담당자가 꼭 확인해야할 핵심 내용: - HR: 직원 이탈률 20% 감소를 이끈 데이터 기반 직원 케어 전략 - Ops: 구매/조달 시간 30% 단축 및 단순 반복 문의(Q&A) 완전 자동화 - 우리 조직에 바로 적용 가능한 부서별 AI Agent 시나리오 복잡한 절차 없이 물 흐르듯 돌아가는 운영 시스템, 남들보다 먼저 구축하고 싶다면? 지금 바로 [Workflow 혁신 2.0]리포트를 무료로 받아보세요.

🤔2026년 기업 경쟁력, '누가 더 똑똑하게 일하느냐'에 달렸습니다. 단순 자동화를 넘어, 스스로 판단하고 행동하는 'AI Agent'가 비즈니스 판도를 바꾸고 있습니다. 지금 우리 기업에 필요한 건 단순한 AI 툴 도입이 아닌, 워크플로우 자체의 혁신입니다. 베스핀글로벌이 여러분을 위해 준비한 [Workflow 혁신 2.0] 리포트를 확인해 보세요. ✅ 꼭 확인해야할 전략적 인사이트 - 단순 챗봇 vs 행동하는 AI Agent의 명확한 차이와 가치 - 전사적 생산성을 극대화할 단계별 도입 로드맵 - Google Gemini Enterprise 기반의 산업별 성공 사례 지금 바로 전략 리포트를 무료로 받아보세요.

Your B&W team is operating at Predictive. The Foods workstream is onboarding onto the same architecture. North America is the lighthouse for every market Unilever runs.

Three proposed directions, all aligned to BGS. 30 minutes to scope which one is closest to the planning cycle your team runs today.

𝗔𝗭𝗰𝗮𝗹𝗹 𝗶𝘀 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗔𝗜 𝗣𝗵𝗼𝗻𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁 𝗳𝗼𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀. It understands intent, navigates phone systems, speaks with the right person, and works toward a real outcome from start to finish.

Big news from AZcare... We're excited to welcome Dr. Chris Rowen to our Board of Directors. Chris is a pioneering entrepreneur and technologist whose career spans decades of innovation in AI, semiconductors, and voice technology. From founding Tensilica to co-founding BabbleLabs, he has consistently helped turn breakthrough ideas into category-defining companies. As we continue building the next generation of AI agents, we're thrilled to have Chris's guidance helping shape what comes next. Welcome, Chris!

Arcade enables just-in-time authorization, giving AI agents secure access without stored tokens or service accounts.

What does it look like when an AI agent actually understands your debugging workflow? Alyx 2.0 — now live in Arize AX. Unlike most AI assistants that follow a single decision tree, Alyx breaks down complex tasks, reasons across multi-step workflows, and acts autonomously across your entire AI lifecycle: ↳ Error analysis ↳ Prompt experimentation ↳ Trace debugging We're hosting a live walkthrough to show you exactly how it works. Save your spot → https://lnkd.in/gbgN59TV

Most talks about AI agents stay theoretical. This one doesn't. Alyx 2.0 is an AI engineering agent built for real AI workflows — error analysis, prompt experimentation, trace debugging — all executed autonomously inside Arize AX. Join Arize engineers Priyan Jindal and Jack Zhou for a live 45-minute demo and technical deep dive into how they actually built it: → The planning architecture behind multi-step reasoning → How they solved context management at scale → Testing strategies that got an agent to production Practical lessons. Real design decisions. Live Q&A at the end.

Bank of America's Q1 2026 earnings highlighted agentic AI "enabling autonomous data analysis and execution of back-office workflows." That scale demands a new kind of governance layer. Arthur discovers every agent, evaluates every output, and gives your risk and compliance teams the visibility agentic systems require.

Bank of America's firmwide AI strategy spans every business unit — from 21 million Erica users in consumer to agentic AI scaling across markets and wealth. Arthur is the operational layer that makes that real — one platform to see, evaluate, and govern every AI system running across the firm.

From Accuracy to ROI: When AI Starts Making Real Business Sense Every company wants to “do AI,” but few ask the real question: At what point does AI actually start creating value worth investing in? That point is what I like to call your Minimum Viable Accuracy — the level of accuracy your AI model needs to reach before it makes economic sense to deploy it. Below that threshold, it’s an experiment. Above it, it becomes an engine of measurable ROI. When accuracy improves: - You reduce uncertainty in decision-making - You optimize operations and cut waste - You predict risk instead of reacting to it - You turn better information into better margins AI isn’t just about algorithms — it’s about knowing when prediction quality starts driving profit. The lesson? Don’t just build AI models. Build models that pay off. Arabic.ai Arabic.AI

¿Quieres saber con un 95% de precisión cuánto vas a vender en 2026? Con Arkham podrás preguntar lo que sea sobre tu operación porque nuestra plataforma es como ChatGPT, pero entrenada con los datos de tu compañía. • Habilita Inteligencia Comercial automatizada con insights para decisiones de pricing y surtido. • Construye una Torre de control que consolida ventas por región y línea de negocio con AI Generativa. • Integra todos tus sistemas en tu propio Data Lakehouse y crea una fuente única de la verdad. Obtén una ventaja competitiva en retail con decisiones más ágiles y precisas a partir de datos confiables y AI adaptada a tus operaciones.

¿Cuántos clientes pierdes por no tener un modelo predictivo? Con Arkham podrás resolver los retos más críticos de tu operación con nuestra plataforma tipo ChatGPT, pero entrenada con los datos de tu compañía. • Habilita Inteligencia Comercial automatizada con insights para decisiones de pricing y surtido. • Construye una Torre de control que consolida ventas por región y línea de negocio con AI Generativa. • Integra todos tus sistemas en tu propio Data Lakehouse y crea una fuente única de la verdad. Evita exceso o falta de stock y reduce sobrecostos. Obtén una ventaja competitiva en retail con decisiones más ágiles y precisas a partir de datos confiables y AI adaptada a tus operaciones.

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision. It also has substantially better vision. It can see images at more than three times the resolution and produces higher-quality interfaces, slides, and docs as a result. Claude Opus 4.7 is available today on claude.ai, the Claude Platform, and all major cloud platforms. Read more: https://lnkd.in/gSZiApXY

Introducing Claude Opus 4.7, our most capable Opus model yet. It handles long-running tasks with more rigor, follows instructions more precisely, and verifies its own outputs before reporting back. You can hand off your hardest work with less supervision. It also has substantially better vision. It can see images at more than three times the resolution and produces higher-quality interfaces, slides, and docs as a result.

A recent Government of Canada report released in December ranked Canada as the second least productive country in the G7. In a new feature with The Globe and Mail, Amii’s Chief Revenue Officer Marlene McNaughton explains why the path forward requires moving past the hesitancy to begin. Marlene highlights that the real risk for many leaders is the high cost of indecision. While many stall waiting for a "perfect moment," AI is fundamentally iterative and requires starting now to build momentum. To secure long-term value, she suggests that companies focus on developing proprietary AI solutions and internal talent simultaneously. By working alongside experts like Amii, organizations can de-risk this transition and maintain control of their own data while building the in-house capacity needed to compete globally. Read the full article to learn how Amii helps companies do better business with AI: https://hubs.la/Q03_CY1P0

At Amii, "AI for Good and for All" is defined by tangible results that improve our communities. We see this impact in the "ER scribe" that restores the human connection between doctors and patients, and in the autonomous systems ensuring reliable, clean water for remote communities. These are a few of the practical applications that turn technological breakthroughs into a better society. Our Chief Delivery Officer, Stephanie Enders, was recently featured in The Globe and Mail sharing how Amii moves beyond theory in the lab and into human-centered outcomes. As Stephanie highlights, a key measure of success for AI is the incremental improvements that make our daily lives better. By focusing on responsible innovation and trust, we are ensuring that the future of AI is one that supports our health, our environment, and our communities. Read the full story here: https://hubs.la/Q040btDw0

Companies that add a real-time AI avatar that talks back see real results.

Ich bin immer wieder überrascht, wie viele Hochschulen mit KI-Initiativen starten, aber bei der Infrastruktur noch im Blindflug unterwegs sind. Grants sind da. AI steht auf jeder strategischen Roadmap. Aber: Der konkrete Plan für Hardware, Ressourcenverteilung und Skalierung fehlt oft. Und das ist kein Vorwurf. Ich sehe, wie komplex die Anforderungen sind: → Unterschiedliche Institute mit eigenen Vorstellungen → Budgetlogiken, die nicht zu Technologie-Zyklen passen → Fachliche Tiefe, aber wenig Guidance bei der Hardware-Auswahl Was hilft? → Realistische, missionsnahe Ziele definieren → Frühzeitig bereichsübergreifenden Support einholen → Zentrale Compute-Kapazitäten planen – nicht alles fragmentieren → Forschung, Lehre und Nachwuchs gleich mitdenken → Und: Fortschritt messbar machen – für sich selbst und für Fördergeber Das ist genau der Grund, warum wir gemeinsam mit NVIDIA ein wirkungsvolles E-Book zusammengestellt haben: 🔗 Jetzt herunterladen: https://lnkd.in/dFUMtFzt

Finally! In Zusammenarbeit mit NVIDIA, haben wir unseren Report zum Thema KI in Universitäten fertiggestellt. Da es oft Thema bei uns ist, wie man als Hochschule eine sinnvolle KI-Strategie entwickelt, haben wir unser Know-How zusammen mit NVIDIA aus vielen Projekten zusammengetragen! 🙌 In der Hochschulwelt hört man ja immer wieder (kennst Du vielleicht auch): "Wir brauchen eine KI-Strategie!" Aber wenn man nachfragt, was genau dahintersteckt, wird's oft dünn. Also haben wir hierzu ein passendes Dokument erstellt mit dem Titel “The Roadmap to Becoming an AI University” inkl. AI Readiness Checkliste. Du willst vom Wunschdenken zur Realität? 🔗 Jetzt herunterladen: https://lnkd.in/dx76Zb7r Wenn du es gelesen hast, schreib mir kurz: Welcher Bereich ist bei euch am meisten unter Druck, Ziele, Compute, People oder Governance? Jeder arbeitet mit KI, für die Forschung ist es ein enormer Booster und damit für jeden Entscheider an Hochschulen Pflicht-Thema. Und gerne auch liken oder teilen, wenn ihr Kolleg:innen aus dem Hochschulbereich kennt, die das interessieren könnte. #KI #KünstlicheIntelligenz #Hochschule #Universität #Innovation #Strategie

In the last weeks, OpenClaw and Moltbook went viral. For the first time, people experienced an agent with a full set of integrations (eg., Slack, Outlook) and communication channels (eg., WhatsApp, Mail), and could watch agent-to-agent communicate in real-time on a platform. While OpenClaw is amazing in its functionality, we believe the enterprise version will have similar elements - but in a highly secure and auditable environment. That's what we're building at AIAIAI.