u/renenx

Sveiki, būsiu 12 kl. moksleivis ir jau kurį laiką galvoju apie studijas LSMU. Mokykloje labiausiai patinka biologija ir chemija, todėl medicinos mokslai traukia. Šiaip patirties neturiu, tik mokykloje ką per pamokas išmokstu. Tik aš nelabai išsirenku ką tiksliai noriu studijuoti. Visa laiką girdėjau, kad odontologija daug moka, visad bus reikalinga, bet nesu tikras. Farmacija irgi įdomu dėl chemijos.

Būtų labai įdomu išgirsti iš tų, kurie studijuoja ar jau baigė- kaip pasirinkote savo programą? Ar buvo kažkas, kas padėjo apsispręsti? Jeigu tai darėt pvz dėl ateities ar stabilios karjeros, nesigailėjot? Taip pat kaip yra universitete su dėstytojais, bendrabučiais, neformaliom veiklom? Atvyksiu ne iš Kauno, tad man tai svarbu. Ačiū.

Sveiki, nusprendžiau pradėti rūpintis savo oda, visą gyvenimą skincare atmestinai darydavau, bet bėdų kol kas ir neturėjau. Dabar jau išvaizda labiau rūpi, tai ar galit parekomenduoti patikimų, profesionalių kosmetologų Vilniuje? Ačiū.

Most CVM conversations I see conflate three different things: campaign tools, marketing automation, and actual autonomous decisioning. They are not the same product and they do not solve the same problem. Worth separating them properly.

The core problem at scale

If you are running a telecom operator with a few million subscribers, campaign-based CVM starts breaking down in a very specific way. Not dramatically. Gradually.

Your data is split across billing, CRM, usage, and digital. Your campaigns talk to segments, not people. Your channels push conflicting offers to the same subscriber within the same week. And by the time your churn model fires an alert, that subscriber has already mentally left. You just have not processed the cancellation yet.

The answer vendors usually sell is "better campaigns." More personalization tokens, fancier segmentation, A/B testing at scale. That is still the same architecture. You are still configuring actions manually and waiting for results.

What Agentic CVM actually means

Agentic CVM (also called autonomous CVM, zero-touch CVM, AI-based CVM depending on the vendor) is a different architecture, not a marketing upgrade.

The decisioning layer does more of the work. Instead of relying only on manually configured campaigns or old static rules, the platform uses customer-level data, AI-powered NBA/NBO logic, churn risk, and real-time triggers to recommend or activate the next best action across channels. Human teams still define strategy, priorities, rules, and exceptions, but they are no longer manually stitching every action together campaign by campaign.

The practical difference: instead of a team relying mainly on batches of manually designed campaigns, the platform can support customer-level decisions across millions of subscribers, using predicted churn risk, offer fit, value signals, and channel context. One decisioning layer reduces conflicting messages, supports earlier churn intervention, and moves the conversation closer to ARPU, churn, ROI, and retention outcomes rather than only campaign activity metrics.

What actually delivering this requires

The stack needs five things or you are back to stitching tools together and paying the integration tax instead of managing subscribers:

• A data layer that handles telecom-grade volumes without choking on billing events.
• An AI decisioning layer for Next Best Action and Next Best Offer that runs on individual signals.
• A churn model that refreshes daily, not weekly, because a subscriber who decided to leave on Tuesday does not care that your model runs on Sundays.
• Omnichannel execution with a visual journey builder so the decisioning layer actually connects to the channels.
• And a measurement layer that connects actions to business outcomes, including churn, ARPU, ROI, campaign simulation, and predicted impact, not just opens, clicks, or campaign activity.

A lot of vendors own parts of this well and rely on acquisitions, partnerships, or integrations for the rest. That seam is where the integration tax lives, and it's usually invisible until you're nine months into a deployment wondering why the churn model and the campaign tool disagree about who's at risk.

On Open CVM

Worth a flag for anyone weighing this: Exacaster put out what they're calling the first open-source CVM. It covers the actual core, not a stripped demo version: the CDP, NBA/NBO decisioning, the churn model, and omnichannel execution. You can run it on your own hardware, on AWS, or have them host it, and you get full code access, which is the part that matters if you're in a market with data sovereignty rules and can't ship subscriber records to someone else's cloud.

Open-source CVM sounds like a category that should exist, but most open-source marketing or CDP-style tools do not cover the full telecom CVM stack: customer data, NBA/NBO decisioning, churn prediction, and omnichannel execution in one place. This one is different in a specific way - migration piece. Exacaster says Open CVM includes a proprietary AI tool designed to help operators migrate from existing marketing platforms in months. I would still pressure-test what that covers in practice: campaigns, journeys, newsletters, audience logic, channel integrations, and historical reporting can each create different migration work. Because license cost is never really why teams stay on a platform they've outgrown. The rebuild cost is. If that tool works as described, it removes one of the biggest reasons operators hesitate to switch.

I evaluate CVM platforms for work and this is the first open-source entry I've seen worth mentioning. I can share my more in-depth analysis about the biggest CVM and CDP platforms in the market if that's useful to anyone.

That said, not everyone needs a full agentic CVM stack

If you already have a solid CDP and CRM and you just need a decisioning layer on top, a full autonomous stack is more than you need right now. Start with the decisioning piece and see how far it gets you.

And if your real problem is B2B value selling or ROI justification to prospects, that's a different tool category entirely. Don't let a CVM vendor sell you a solution to a problem you don't have.

Hello everyone, I wish for your guidance.

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I work at a small marketing agency - our primary services are LinkedIn marketing (ads, content, lead generation) + SEO/AEO (organic + AI traffic to the website).

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This summer we want to optimize our internal work processes by integrating skills, specific prompts, hold more context .md files for each client so repetitive work gets done faster and my team does not need to over explain themselves. + We also need something to code (codex / claude code).

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We have been using ChatGPT for ~half a year for work and it was pretty convenient, but imo not fully efficient - for every client we had separate folders, colleagues could catch up any time with each other's work by reading chats, and that was it.

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The question is - has anyone here migrated their team to any of the big 3 AI tools: ChatGPT, Claude or Gemini? How was it? Why did you choose your specific platform? Would you recommend it to others?

What would you do in my place? I have been looking into Claude the most, since I use it for my personal needs. But I need the best option from an organization perspective.

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Thank you.

Sveiki, gal esate kas keliavę aplink Lietuvą ar bent turi kokį nors maršrutą? Šią vasarą noriu apkeliauti mažesnius miestelius/kaimelius, pažinti daugiau mūsų gamtą, kultūrą, tad noriu sužinoti kaip sekėsi ir ką rekomenduotumėte.

Neplanuoju išvažiuoti keliom savaitėm ir pilnai aplankyti visą Lietuvą, bet išsirinkti savaitgaliui regioną ir aplankyti kuo daugiau - domina.

P.s. Turiu automobilį, esu iš Kauno.

Ačiū!

Renovating our whole ceiling, older house, around 120 m². Someone mentioned diffusers that sit completely flush and disappear after painting. Looked it up and now I have more questions than answers.I always assumed these were for commercial or luxury projects only. But apparently not?

A few things I'm genuinely unsure about:

• Round vs square vs a long slot: does the shape matter beyond looks?
• Do these work for both supply and exhaust, or are they separate products?
• How forgiving is the installation if the duct position ends up slightly off?

Trying to decide before the ceiling goes up and it's too late. thanks for answers.