On August 8, we had the privilege of welcoming over 80 Yonyou partners and enterprise customers to our Hangzhou headquarters. The executive team shared actionable strategies on translating AI capabilities into tangible business value. The future of enterprise AI isn’t just about technology—it’s about partnership and practical application. Thank you to everyone who joined us! #AI# #EnterpriseAI# #AITransformation# #AlibabaCloud# #Yonyou#

AI transformation doesn’t happen through a suggestion box. @Dell Global CTO and CAIO @theICToptimist tells @DaveN007 why top-down leadership, governance, and targeted AI investments helped Dell grow revenue without proportional cost increases and why agents could reshape the entire organization. $DELL

AI in small business is easy - you can just do things and should be using it everywhere possible in your company Once you get to a certain size, 50-100 people, it starts to get more complicated Legacy systems, approval chains, company behavior norms - it starts to require more change mgmt, harder to just do things but can be done with a strong CEO/owner mandate The hardest spot is actually mid-enterprise, companies in the 300-3,000 people range These are organizations that typically don’t have dedicated AI teams or a Chief AI Officer like most large enterprises and don't have the size and/or resources to hire the big consultancies and deploycos to run AI transformation programs They're big enough to realize sizable impact from AI, but can't afford to staff up teams to run pilots and dedicate the management cycles to develop thoughtful AI strategies - they're too busy trying to run the business This is the market segment that I'm most bullish on serving at @codos_ai We come in, run a short diagnostic that includes both business strategy and AI, outline a prioritized list of high impact initiatives, then run the deployments alongside the existing team What these companies get is a "virtual" Chief AI Officer underpinned by a benchmark-winning company brain context layer that enables AI automation across the company And we deliver it at a fraction of the cost of what a mid-enterprise would pay to a large consultancy or deployco

AI transformation doesn’t start with experiments. It starts with leadership. At #DellTechWorld#, @MichaelDell shared a clear message: ➡️ Don’t start small. Go after the biggest processes in your business. The companies moving fastest into AI aren’t just adopting new tools—they’re rethinking how work gets done, end to end. And the fastest path forward? Find your super users. Empower them. Scale what works. 🎥 Watch the full conversation with @siliconangle & @theCUBE:

We are launching AI Agent Bootcamps at @tenex_labs! What's an agent bootcamp? A 5-day, free intensive to find & build high-impact agent opportunities with your real systems & data. We've helped dozens of midmarket cos, F2000 enterprises, and PE portcos deploy agents into production. With bootcamps, we're lowering the friction of experiencing the power of an agent within your company's workflows to ~zero. 3 phases of the bootcamp: 1) Find Opportunities - We interview the people closest to the work to identify where agents could have the biggest impact. 2) Map Workflows - We map workflows step by step, including the systems involved and expected business impact. 3) Prototype Agents - We build prototypes on your data, demonstrate the results, and recommend what to take live first. Bootcamps are led by our world-class FDEs & strategists, on the ground, working with your teams and systems. What do you get? 1) A clear AI roadmap with ROI per opportunity 2) Up to 8 mapped opportunities 3) Up to 4 working prototypes Who are agent bootcamps for & how much do they cost? Midmarket & enterprise companies doing >$100m in revenue or funding. Bootcamps are free. They're an opportunity to see what AI agents can do for you before committing. Why are we launching this now? Many companies are in the messy middle of AI transformation. They've rolled out LLMs companywide, perhaps done some AI enablement work, coding agents are being used widely in engineering, and that's it. The next obvious step in the AI journey is bringing agents to the workflows of an organization, but most companies are getting stuck. Taking agents to production is complex and nuanced and we've built a repeatable process for handling the final mile of applied AI, which allows us to take agents into production in ~2 weeks. How do I sign up? Join the Agent Bootcamp waitlist here:

10 most common AI transformation asks we get from enterprises right now (in order of frequency): 1) AI Diagnostic / ROI Study - Identify opportunities for AI, estimate ROI by use case, prioritize investments, and create an implementation plan. 2) Agentic Workflow Automation - Build agents, automations, and integrations that execute recurring business processes. 3) Architecture & SDLC Assessment - review codebase and architecture, identify technical debt and risks, evaluate engineers AI workflow fluency and create a modernization plan. 4) Security Testing & Patching - Test AI applications and agents for vulnerabilities, data leakage, prompt injection, and misuse. 5) Security Assessment - Identify security, privacy, and compliance risks and recommend how to address them. 6) Code Modernization - Legacy tech stacks create drag that decreases speed/accuracy for agents 7) Data Engineering - Build data pipelines, integrations, migrations, search systems, and knowledge systems. 8) MCP Gateway - Provide controlled access to models, tools, and data through authentication, routing, logging, and usage controls. 9) Model fine-tuning - Post-training an LLM on a smaller, targeted dataset so it gets better at verticalized task or domain. 10) Citizen SDLC - Give non-technical employees a secure, governed process for turning AI prototypes into approved production applications. Comment below with the use case # you're most interested in (i.e. #6# = code modernization), and I'll DM you specific insights from work we've done on it.

Day one of AI Skills Fest is officially underway, kicking off a full week of learning from June 8th–12th. Start by joining a LinkedIn live session. ⬇️ Prepare for Microsoft Certification Exam AB-731: AI Transformation Leader: • 6/8 5:00 PM PDT (Americas) • 6/8 7:30 PM IST (EMEA/Asia) Prepare for Microsoft Certification Exam AI-103: Developing AI Apps and Agents on Azure • 6/8 6:30 PM PDT (Americas) • 6/8 9:00 PM IST (EMEA/Asia) Reimagine AI Collaboration for Business: 5 Practical Prompts and Workflows • 6/8 10:00 AM PDT • 6/8 8:30 AM IST And after, jump right into a playlist specially designed for your role:

Healthcare's AI transformation is accelerating, and JPM 2026 made that clear. We kicked off the week with our second annual Healthcare CEO Dinner, co-hosted by our CEO @htaneja alongside Matt Garman, CEO of @awscloud, bringing together the founders, investors, and executives leading enterprise transformation at @SummaHealth, @WellSpan, HATCo, and beyond. Throughout the week, conversations centered on a vision we're a decade into building: health assurance. That means proactive, accessible, and affordable care that shifts from treating sickness to sustaining wellness. We've assembled a portfolio of companies—@CommureOS, @Hippocraticai, @transcarent, Capital Rx, @ro, @HealthEx_io, @aidocmed, and others—architecting this future together. Applied AI is the engine of healthcare abundance. It creates capacity where there was constraint, access where there were barriers, and affordability where costs once spiraled. The scarcity that has defined healthcare for generations can finally give way to a system designed for everyone. The capital and innovation are here. What matters now is the conviction to execute and the commitment to partner in building a system that doesn't wait for people to get sick, but works tirelessly to keep them well.