Tobias Hellfach Hansen

RIP Tableau Tableau is a business intelligence tool owned by Salesforce. For years it was part of how we worked at Voi. In the beginning it felt powerful, but over time it turned into what many legacy SaaS tools become: expensive, clunky and slow. Every ad hoc request ended up in an analyst backlog. Local teams across our 100 plus cities were left waiting for insights, costs kept going up and speed disappeared. So we ripped it out, saved at least 500k EUR, potentially millions (from speed). The direct savings are hundreds of thousands of euros in licenses. The indirect savings are even bigger since analysts can now focus on high impact work instead of repetitive reporting. The biggest shift is speed. What once took weeks now happens in seconds. Here is how we made it possible: 1. We fixed the foundations. Years of work on data governance. Every metric has an owner, quality checks, semantics and definitions. Everyone in the company knows what a number means. With that in place, self serve became possible, which is essential when local teams in 100 plus cities need the right data at the right time. 2. We defined what we need, not what we paid for. A single source of truth, real time data streaming and self serve for non technical users. Analysts no longer spend their days on small one off requests. 3. We used LLMs as the bridge. Together with a design partner we built a UI that supports continuous business intelligence, and we created an AI data analyst that lives inside Slack and Sheets. LLMs translate natural language into SQL, query the warehouse and return insights or visuals in natural language again. This step is what unlocked true self serve at scale. But LLMs alone are not enough. In an enterprise setting you need strict guidelines and guardrails. Without governance you risk inconsistent answers, wrong definitions or even compliance issues. The combination of solid data governance with the power of LLMs is what makes this work. The results are clear: 1. Millions saved on SaaS and labor 2. One source of truth for all key metrics 3. Self serve for everyone in the company within clear constraints 4. Up to 100x faster time to insight and decision making LLMs made this shift possible. Strong governance made it safe. RIP Tableau. And it will not be the last legacy SaaS tool we replace.

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🎉 5 years at LinkedIn! 5 different jobs. Not a single one existed before I had it. That’s a reflection of the pace of change in tech (well, the world!), the strength of the company’s culture of intra-preneurship and what I’ve learned it takes to grow *with* the business rather than inside it. So here are the biggest things I’ve learned: 1️⃣ Redefine the job every day The greatest growth comes from evolving a role as you go. That’s not just adapting to change -- it’s spotting gaps, meeting needs and figuring out how you can add value. Growing with the business means letting go of the job you were hired to do, and leaning into the one it needs now. 2️⃣ Let go, and do it often Sometimes that means walking away from a project that didn’t work. Other times, it means handing off something that’s doing incredibly well to make space for what’s next. The best work I’ve done rarely came from version 1. It came from moving past v1 and getting to v2, v4 or...v5. Letting go isn’t failure. It’s how you make room for progress. 3️⃣ Start with the member In every role, the most important work has started by listening to the people we’re building for. Some are power users, pushing the edges of what’s possible, and others are just trying to solve something that matters to them. The clarity comes from hearing both -- what they love, where they’re stuck and what they’re hoping to do on the platform. So eternally grateful for 5 years of change, challenge and the kind of teammates who make this work matter -- and so, so much fun. 👊 🙌

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🚀✨ The New Era of Mini-Movie Creation Is Here 🎬 The world of storytelling is evolving at lightning speed. With the rise of text-to-video engines like Google’s Veo 3, Higgsfield, and MidJourney’s upcoming video tools, creators can now turn simple prompts into cinematic experiences. 🎥 What this means for creators: Mini-movies from text prompts – no camera, no crew, just imagination. Rapid prototyping for filmmakers – visualize entire scenes in minutes. Marketing & advertising – produce high-quality motion content faster than ever. Indie storytellers – bring worlds to life without Hollywood budgets. The line between imagination and film is blurring. We’re entering an age where anyone with a story can become a director. 🌌 🔥 Imagine writing: “A neon-lit cyberpunk alley with rain falling, a lone figure walks slowly toward a glowing portal” – and watching it become a living scene in seconds. The possibilities for short-form content, ads, storyboards, and full creative projects are endless. Credits: gizmoants #AIvideo #AI #veo3

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Back to this wonderful view after 3 weeks of summer leave, 3 weeks of scheduled posts - completely re-energized for the next 6 months of sprinting ! Denmark, we got work to do! =) The world doesn't stand still, especially not in the realm of AI and AI Agents - and using AI to catch up on the latest ;-) using GPT 4.5 Deep Research to accumulate and refine the below list - i'm especially psyched about number 2, 3 and 10 ! :-) 🚀 Top 10 AI Agent Innovations (Last 3 Weeks) 1️⃣ ChatGPT Agents — OpenAI adds autonomous multi-step agents to ChatGPT. Tool use, reasoning, task execution. 🔗 https://lnkd.in/drkEWWaY 2️⃣ Salesforce Agentforce Command Center — Full observability for your digital workforce. Monitor, optimize, scale AI agents with confidence. 🔗 https://lnkd.in/d2dFQMBY 3️⃣ Salesforce OpsAI (Internal Use) — AI agent identifies root causes during incidents and proposes remediations in Slack. A glimpse at AI-led ops. 🔗 https://lnkd.in/dMyA3VRn 4️⃣ AIRA-dojo — Research framework where AI agents iteratively build and improve ML models. Strong results on benchmark tasks. 🔗 https://lnkd.in/dirJkKH4 5️⃣ Manus AI Agent — Out of China: a generalist agent that outperforms GPT-4 in tool-based reasoning tasks. 🔗 https://lnkd.in/dphcAhb7 6️⃣ AutoGen Studio (Open Source) — Visual agent orchestration. Build agent workflows using a clean UI or natural language. 🔗 https://lnkd.in/ddTeViAX 7️⃣ AgentKit (Open Source) — Lightweight Python framework for building modular agents with tools, memory, and coordination. 🔗 https://lnkd.in/dcqmFVGM 8️⃣ ReActAgent.jl — A Julia-native ReAct agent framework for LLM-driven reasoning, built for structured speed. 🔗 https://lnkd.in/dv4FTNek 9️⃣ Retrieval-Augmented Planning — New research on chaining tools via vector search planning for better multi-step reasoning. 🔗 https://lnkd.in/dVbjEAnK 🔟 LegalTech Use Case — AI agent automates 90% of document review. Saves 2,500+ hours on legal discovery. 🔗 https://lnkd.in/dm3KByfP Which of these is most relevant for your company? Which one should we explore… or build next? #AI #Agents #AgenticAI #DigitalWorkforce #Salesforce #Agentforce #OpenSourceAI #AIInnovation #Automation #EnterpriseAI #LLM #AIUseCases

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