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 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:

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.

I’m in a text group with 30 enterprise execs driving ai transformation at their companies. It is the #1# community I’ve become a part of this year. Battle tested AI tools, challenges, and wins are shared constantly and we are starting to meet as a group monthly for live discussion. I want more of the energy and value this group provides, but I don’t want to dilute it, so I'm spinning up a few more of these this quarter. Each group is capped at 30 people and the rules are simple… No sales pitches. Just smart people sharing how they’re using AI personally and how they’re transforming their org with AI (successfully and unsuccessfully). If you want to join one of these groups, reply with "ai,” and if it’s a good fit I’ll DM you an invite.

The CIO mindset - CIOs are busy nowadays. CEOs want progress on AI, their C-Suite peers want AI transformation resources, and everyone wants to move fast. On the other hand the AI landscape is far from static, coding is a real use case, but costs are rising and headcount savings are being overwhelmed by increased demand. Other POCs on AI are still being figured out and ROI isn't fully realized. CIOs need to determine long term architectures, choose partners and technologies which will likely change a few times before we stabilize. On the day job, (non AI side), CIOs need to decide which SaaS contracts to commit to where to retain flexibility, how to deliver the promises already made with projects mid stream, and what to redirect to pay for the AI landslide. They need to find budget dollars to work on all of the following: Priorities 1. Figure out AI, evaluate, commit to clear ROI and keep your powder dry. 2. Deal with Mythos and prepare for a new world of Cyber, rethink point solves vs platforms. 3. Create capacity in budget for increasing AI usage. 4. Evaluate the vendor landscape and evaluate how the vendors will evolve and determine strategic redirection where needed. 5. Prioritize hardware purchases where compute and memory prices are going to be on the rise for the foreseeable future. This is normal in a technology super cycle. The CIOs will have to power through these dynamics. We are definitely seeing this in the equity markets with everyone trying to pick winners and losers. I think it's too early to draw long term conclusions. Customers are still adjusting to the economic realities of AI and reallocating spend, this reset is being reflected in the equity markets.

The US economy's long recession-free stretch has compounded the stock market boom and eased funding for the AI transformation - but how things go from here remains to be seen, argues ROI's Mike Dolan

We just reported our FY26 Q4 earnings. 🟢 A strong quarter with $90 billion in revenue 🟢 Azure and other cloud services revenue grew 43% driven by strong demand for services across the platform 🟢 Microsoft 365 Copilot reached more than 30 million paid seats “We are advancing the frontier on the cost-to-outcome curve, ensuring every customer can turn tokens into business results. This year, Azure revenue surpassed $100 billion for the first time, and Microsoft 365 Copilot reached over 30 million seats, reflecting the confidence customers are placing in us to power their AI transformation.” - @SatyaNadella Read the full release here: