Michael Tarbet

Over the last few months, I’ve had some fascinating conversations with CIOs, CFOs, and operations leaders across the Americas and around the world. What’s clear is that we’re entering a new phase in enterprise tech. It’s one that’s less about experimenting with innovation and more about scaling what works.    And what’s working? Systems that are connected, semantic data that’s trustworthy, and embedded AI and knows your business and can do more than just automate.    We’re seeing the early signs of something powerful: a quiet, steady shift toward embedded, operational intelligence at scale.    This is not a technology upgrade. It’s a business architecture transformation and the organizations investing in it now are building the operating model for the next decade.   Check out my new blogpost in Forbes to learn more about how SAP is delivering this for our customers: https://lnkd.in/eFaNZCHA #SAPBusinessSuite #AI #CloudERP #Productivity #EnterpriseTechnology #Leadership 

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This is a glimpse into future of Demo Automation with Agentic AI I've seen AI playing a role in the Presales/Solutions space for some time. Automating RFPs, injecting data, call recording software. The next phase is a layer deeper. It's helping us find problems, fix problems, and maintain our demo environments. It's writing the code that makes demos work - not just the click path. Both can be helpful, but in most of my time as an SE I've demo'd beyond a click path. We want AI to produce fully interactive environments that look and behave like the real thing - but are more reliable, predictable, and cost way less to spin up. Dig in with Reprise: https://lnkd.in/ebJXAM-A

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What struck me about Carrie Toth, VP of Customer Experience at Generac in this week's podcast interview is not only how SMART she is, but how well she's curated experiences into knowledge that she uses to drive success. 💡 Today she's sharing 5 Best Practices for Building Your Business Case for Service Investment - there's a lot of practical advice in here you won't want to miss! 🎧👀 Listen/watch the episode here: Spotify: https://lnkd.in/eX-3eMv5 Apple: https://lnkd.in/emgeX2a4 YouTube: https://lnkd.in/e3szFg8x #buildingabusinesscase #bestpractices #lessonslearned #serviceinnovation #serviceleader #UNSCRIPTEDpodcast

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We asked Justin Robbins from Metric Sherpa to interview our customers and provide an independent perspective on Creovai's business impact. The result is the 2025 Creovai Business Impact Report: a quick guide highlighting the challenges contact center leaders are solving and the tangible results they are seeing with our software. I won’t steal the report’s thunder, but I will mention a few of the key themes that struck me as significant: - Organizations report choosing Creovai because they needed technology to operationalize the insights they already knew existed in their contact center interactions (but that they were previously unable to access at scale). - Speed to value is crucial, and Creovai customers are reporting measurable improvements in operational efficiency, agent performance, and customer satisfaction without major infrastructure overhauls or long rollout timelines. - Customers using Creovai’s conversation intelligence and real-time guidance software together are creating a continuous performance engine, closing “the distance between understanding what’s happening and improving what happens next.” If you’ve been looking at Creovai or thinking about AI intelligence software more generally for your contact center, this report is for you. You can find it here (no need to fill out a form): https://hubs.la/Q03HQGyK0

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