enterprise ai

  1. ChatGPT

    Treat AI as a Junior Employee: Onboarding, KPIs, and Governance for Enterprise AI

    Marc Kermisch’s central prescription for enterprise AI is disarmingly simple: stop treating generative AI like a finished product and start treating it like a new, junior employee who needs onboarding, coaching, and measurement. That framing—delivered on the CAIO Connect podcast and amplified in...
  2. ChatGPT

    AI Integration in Higher Ed: Barry University's Safe Enterprise Adoption

    Barry University’s drive to become an “AI‑integrated university” is emblematic of a broader shift on U.S. campuses: administrators are moving beyond pilot programs to embed generative AI across marketing, enrollment, planning, and analytics — but they’re doing so while wrestling with serious...
  3. ChatGPT

    Glean's Neutral Intelligence Layer: Safe, Permission Aware Enterprise AI

    Glean’s move beneath the flashy chat windows — turning enterprise search into a permissions‑aware, multi‑model “intelligence layer” — may be the quiet architectural bet that decides whether generative AI becomes useful at scale in the enterprise. Background / Overview When Glean launched in 2019...
  4. ChatGPT

    Agentic AI: Engineering Production-Grade Autonomous Agents with Governance

    Agentic AI has moved from marketing buzz to an engineering imperative: teams that want AI to do work—not just draft text—must design agents with planners, tools, memory, evals, and governance rather than relying on ever‑better prompts. rview Agentic AI describes systems that set goals, plan...
  5. ChatGPT

    Everyday AI Helpers: How Generative Assistants Reshape Work and Home

    Artificial intelligence has stopped being a future headline and quietly moved into the apps, devices, and services that run our daily lives — from drafting emails and organizing tasks to editing photos and curating playlists — and a recent consumer roundup that lists 15 everyday AI helpers only...
  6. ChatGPT

    Glean's Intelligence Layer: The Backbone for Safe, Scalable Enterprise AI

    Glean’s move from “Google for enterprise” to the invisible intelligence layer under every workplace AI is not a product tweak — it’s a strategic bet that could rewrite how companies adopt, govern, and scale generative AI across the business. Background: how we got here and why the layer matters...
  7. ChatGPT

    Tech Mahindra pivots to proprietary world models for enterprise AI

    Tech Mahindra’s quiet pivot from wide‑angle generative AI adoption to the development of proprietary AI “world models” is more than a technical curiosity — it’s a strategic bet that seeks to convert future demand for contextual, agentic intelligence into sustainable intellectual property and...
  8. ChatGPT

    Google Cloud Leads Q4 2025 AI Cloud Boom: Growth, Costs, and Capex

    Cloud revenue surged across the board in Q4 2025, but the big news wasn’t just higher numbers — it was the way AI demand reshaped market dynamics, pushed hyperscalers into aggressive capital spending, and produced a surprising narrative winner: Google Cloud. The latest earnings season confirmed...
  9. ChatGPT

    2026 AI Assistants: Safe, Specialized, and Integrated Alternatives to ChatGPT

    AI chat assistants are no longer a curiosity — in 2026 they are a central piece of how we work, write, research, and even socialize — and the conversation about “best alternatives to ChatGPT” has shifted from curiosity to practical procurement. The short guide you uploaded offered a helpful...
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    Mustafa Suleyman’s 12–18 Month Forecast: AI Automating White Collar Work

    Mustafa Suleyman, the CEO of Microsoft AI, told the Financial Times that "we're going to have a human‑level performance on most, if not all, professional tasks" and predicted that most white‑collar tasks — the work people do sitting at a computer as lawyers, accountants, project managers or...
  11. ChatGPT

    Mustafa Suleyman’s 12–18 Month AI Automation Timeline and What It Means for Work

    Mustafa Suleyman’s blunt timeline — that most white‑collar tasks could be “fully automated” within the next 12–18 months — has jolted boardrooms, policy tables, and workforces because it compresses a decades‑long debate about AI’s impact into an acute, actionable window. Background The comments...
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    Wesfarmers and Microsoft AI partnership scales generative AI across retail

    Wesfarmers’ new multi‑year strategic partnership with Microsoft is a striking example of how a large, diversified retail conglomerate intends to turn generative AI and cloud-first engineering into measurable competitive advantage across operations, stores and supply chains. The agreement — which...
  13. ChatGPT

    Claude Cowork Arrives on Windows: Enterprise-Grade Agentic AI for Desktop

    Anthropic’s Cowork arriving on Windows is not just another app release — it is a watershed moment in the race to put agentic AI on the desktop, and it forces IT teams, security officers, and software vendors to confront what “automating work” really means when an assistant can read, write, and...
  14. ChatGPT

    Microsoft's AI Flywheel: Copilot, Azure Inference, and Enterprise Growth

    Microsoft’s generational bet on enterprise AI—packaged most visibly as Copilot, Azure inference, and the new wave of autonomous agents—is not a sideshow to its legacy businesses; it is the company’s calculated attempt to create a new, high‑margin annuity model on top of decades of installed...
  15. ChatGPT

    Microsoft Copilot Adoption and Monetization: 15M Seats, 4.7M GitHub Subscribers

    Microsoft's latest earnings call gave investors something they had been demanding for months: concrete numbers for its Copilot family. What followed was less a triumphant reveal than a Rorschach test — the same figures that management framed as proof of momentum also exposed a set of...
  16. ChatGPT

    Anthropic Cowork: Claude becomes a desktop agent for folder based automation

    Anthropic’s new Cowork turns Claude from a conversational partner into a hands‑on desktop assistant that can read, edit, and create files inside a user‑designated folder — a feature that promises real productivity gains for non‑technical users while reopening familiar security, governance, and...
  17. ChatGPT

    Copilot: Microsoft's Multimodal AI Platform for Windows and 365

    Microsoft’s Copilot is now the practical fulcrum of Microsoft’s AI strategy: a multimodal, tenant‑grounded assistant that lives in Windows, Edge, Bing and the Microsoft 365 applications, and—if your organization chooses—can be tuned, governed and embedded into line‑of‑business workflows to...
  18. ChatGPT

    DXC Deploys Amazon Quick Across 115k Employees: A New Era for Agentic Enterprise AI

    DXC’s decision to roll Amazon Quick across its entire workforce and package that experience into a commercial practice signals a clear inflection point in how large systems integrators intend to sell, govern, and scale agentic AI inside enterprises—and it raises as many questions about risk...
  19. ChatGPT

    Six Capabilities to Scale Agentic AI in Enterprises (2026)

    Microsoft’s roadmap for scaling “agentic” AI in 2026 is not a manifesto for tinkering — it’s a practical checklist for enterprises that want to move from pilot projects to production-scale digital teammates without burning trust, data, or budgets along the way. Background / Overview Nitasha...
  20. ChatGPT

    Minfy AIMxD Hub: Industrializing Enterprise AI with Microsoft Foundry

    Minfy’s announcement of the AIMxD Hub marks a deliberate step toward industrializing enterprise AI: a Microsoft‑anchored Centre of Excellence intended to convert exploratory pilot projects into production‑grade platforms that drive measurable business outcomes. Background / Overview Minfy, an...
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