AI is reshaping how businesses connect with customers. Join Salesforce & Alibaba Cloud at the Annual Summit Shanghai to explore how enterprises are moving from AI pilots to real business transformation. Highlights: • AI + CRM trends and innovations • Building an Agentic Enterprise at scale • AI in Sales & Service • Industry Cloud innovations • China-to-Global strategies • Customer stories & live demos 📍 Shanghai 📅 15 July 2026 | 2:00–5:30 PM 💬 Sessions in Chinese Register now: #Salesforce# #AlibabaCloud# #CRM# #AI# #AgenticEnterprise# #EnterpriseAI# #DigitalTransformation# #ChinaAI#

.@Google just introduced their "Agentic Enterprise" strategy; a fleet of autonomous agents with persistent memory, executing multi-step workflows independently for days at a time. @ThomasOrTK called it a shift from "system of intelligence" to "system of action." The pitch is that the AI action era has arrived. The agents can plan, reason, and execute. The problem is that nothing in the stack produces a verifiable record of what the agent actually did or whether it did what it was authorized to do. Here's the architectural reason this is hard: in LLM-based systems, the data layer and the control layer are the same thing. Malicious instructions embedded in a document, an email, or an API response can redirect an agent mid-workflow. This is the dominant attack class for deployed agents right now. And it gets worse as models get more capable. An ICLR 2026 paper published this week found that training models to reason harder actually increases tool hallucination rates. More capable models, less predictable execution. The industry response has been to stack security on top: runtime monitoring, policy enforcement at the agent boundary, trust registries. @SecureAuth launched one. @Microsoft shipped an open-source agent governance toolkit this month. These are real tools solving real problems, but they're working against the grain of the underlying architecture. You're inspecting outputs from a system that was never designed to produce verifiable outputs. Trust layered on an untrusted foundation. The harder question is whether you can reach production-scale agent autonomy without re-architecting what runs underneath. At Talus, the answer we landed on is that you can't. Verification has to be the default output of the execution layer, not a governance feature bolted on after. Every step produces a tamper-evident proof. Every action is cryptographically attributable. The audit trail is generated at execution time, not reconstructed after an incident. That's a different architecture than agents wrapped in monitoring tooling. Google's announcement is real. The adoption numbers are real. So is the trust gap. What fills it isn't better, but different infrastructure underneath them.

Optimism in the Age of Agentic AI Every generation gets a great leap. This one is ours. Not because technology can do more. Because people can. Welcome to the Agentic Enterprise. Around the world, our customers are unlocking the potential of every employee. Human being. Agent doing. People bring creativity, judgment, relationships, and vision. Agents handle processing, integration, and execution, clearing the way for people to do the work only humans can do. The work that builds trust. The work that creates meaning. The work that brings you closer to every customer. That is the optimism of this moment. Profoundly human. Operationally agentic. Ironically, the more agentic your company, the more human it can become.

Snowflake Ventures is proud to invest in @jedifyai 🌐 Jedify brings autonomous semantic lifecycle technology to the agentic enterprise, helping enterprise AI agents deliver trustworthy answers by automating model governance on Snowflake. 👉🏻

When Dell's experimental AI agents wrote their own code two years ago, it became a wakeup call for agentic security. Listen to John Roese and Harish Peri from @Okta discuss what it takes to build the security layer every agentic enterprise needs. 🎥

Your AI agents are only as good as the data behind them. Fragmented data, inconsistent definitions and weak governance can hold marketing teams back. Learn how leading organizations are preparing for the agentic enterprise in our latest report – the 5th edition of the Modern Marketing Data Stack.👇

Governance isn't slowing innovation, it’s enabling it. Snowflake CMO Denise Persson unveils the 5th Modern Marketing Data Stack report. Get the blueprint for the agentic enterprise. 👉🏻

The first chapter of enterprise AI was getting answers from data. The next chapter is turning governed data into governed decisions. Snowflake CEO @RamaswmySridhar and @Accenture's Rajendra Prasad share their perspective on the architecture of the agentic enterprise.

Enterprise AI can’t stop at answers. It needs to drive action. ⚡ Snowflake CEO Sridhar Ramaswamy joins Six Five Media to reveal how the agentic enterprise turns complex data into instant action, with governed data at the center.

Enterprise AI can’t stop at answers. It needs to drive action. ⚡ @RamaswmySridhar joins @PatrickMoorhead and @danielnewmanUV on @TheSixFiveMedia to reveal how the agentic enterprise turns complex data into instant action, with governed data at the center. Watch the full conversation here 👉🏻