Tony Colon

Enterprise teams often face low Salesforce adoption and slow execution. Tailored Salesforce training bridges skill gaps and accelerates performance. Visit our blog to learn how customized training transforms enterprise productivity. https://lnkd.in/d6aGwMyq #SalesforceROI #BusinessTransformation #CRMExcellence #TechLeadership #CISIN

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When your Salesforce pipeline wasn’t built to scale, every release feels more risky. In this 30-minute webinar, Richard Owen and Isobel Wright share the practices that high-performing teams use to scale their CI/CD without the chaos. You’ll learn how to: Adopt branching strategies that don’t break under pressure Eliminate environment drift and merge conflict pain Build a release process that gets stronger as complexity grows Can’t make it live? Register for the recording. Save your spot here: https://okt.to/mtV9i6

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🚨 Enterprise CPQ is breaking. Quietly. Then all at once. For years, legacy CPQ “worked” because teams worked around it. Spreadsheets. Side systems. Human duct tape. That era is over. Enterprise buyers are abandoning legacy CPQ platforms like Apttus — not because they’re bad… …but because modern revenue is messy and legacy stacks were built for a simpler time. What’s changed: • Subscriptions + usage + services in one deal • Finance demanding real-time accuracy • RevOps owning the full revenue lifecycle • Sales refusing admin-heavy workflows The result? Point solutions collapse under their own integrations. The winners aren’t “better CPQ tools.” They’re unified revenue platforms that connect quoting, contracts, billing, and renewals on a single data model. We broke down why this shift is accelerating — and what enterprise buyers are choosing instead 👇 https://hubs.li/Q040P14J0 Hot take: If your CPQ needs a RevOps babysitter… it’s already legacy. 👇 Agree / disagree? John Garza Jagadish Bandhole Jamal Khan Rick Merriman

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Salesforce is acquiring Informatica for $8 billion to improve the data backbone of its AI tools, combining governance, integration, and context for enterprise AI.

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There are increasing concerns over power consumption and operational costs of large-scale AI models. This is why we believe EdgeAI will be increasingly relevant. Here is a sneak peak of what a small model running on a device embedded within a powerful enterprise app can accomplish. This use case highlights analyzing asset data and generating key insights to help the technician even without connectivity, harnessing the power of the device. We will be shipping some powerful asset insight highlights soon—but the most exciting part is what comes next. Instead of relying on canned insights, customers can configure and customize their own use cases, define recommended actions, and use our customization UI to present these insights in a way that is most meaningful to their users. Welcome to the realistic AI future! :-)

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While #ERPs can do a lot, they can't do everything. Explore 5 reasons it might be worth while to invest in a purpose-built #TransactionMatching solution. https://ow.ly/uC1z30sPI5E

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