180ops’ Post

Data has a story to tell.. but it gets lost in translation. I just wrote an article about the learnings we have gained from the past 3,5 years of building our Revenue Intelligence Platform at 180ops. Even though we had a clear vision to start with, it has taken a lot of time and effort to make it accurate and scalable. I believe that these learnings are interesting to anyone operating in data & intelligence, creating infrastructure level solutions to enable datadriven management or simply making decisions based on data. AI, LLMs, and the promise of Agentic AI are currently on everyones lips. However, if you are creating data for the purpose of managing a company, neural networks based technologies have deficiencies. For a sustainable management, you need stable data products and neural networks based solutions were never designed to serve that purpose. Its not an one/other game, its about processes designed to leverage each technology's unique advantages. There is a difference between leveraging data and creating new fundamental data products. This difference needs to be understood for the enablement of Agentic infrastructure. I believe this article has a lot of learnings to offer and I'd love to hear what you think :) #AgenticAI #daap #revenueintelligence #datastrategy #datadriven #cx https://lnkd.in/dSrpYkGN

BREAKING: Turns out throwing data into a “lake” doesn’t magically create insights. Who could have seen that coming? Finally got to this fantastic reality check from 180ops (written by my friend Toni Keskinen) about why 90-95% of agentic AI initiatives are face-planting harder than a drunk penguin. Spoiler alert: it’s not the AI’s fault, it’s the data mess underneath. My favorite stat: 100% of failed AI cases had data-related challenges. Not 99%. Not “most.” ALL of them. Because apparently, feeding garbage data to AI and expecting Shakespeare is still a thing in 2025. 🤡 Here’s the tea ☕: Companies have been hoarding data like digital packrats for a decade, cramming everything into warehouses and lakes without any actual plan. Now they’re shocked—SHOCKED—that their shiny new AI can’t perform miracles with their Frankenstein data architecture. The folks at 180ops spent 3.5 years (and probably several therapy sessions) building their Revenue Intelligence Platform because—plot twist—data needs to actually tell a coherent story, not just exist in 47 different formats across 6 ERPs. This couldn’t be more timely with Massachusetts Institute of Technology’s recent study showing 95% of enterprise AI pilots are failing, and Gartner predicting 40% of agentic AI projects will be canceled by 2027. But sure, let’s keep buying more AI tools instead of fixing our data foundation. That’ll work. 🙃 Props to 180ops for doing the hard work so the rest of us don’t have to suffer through “data transformation purgatory.” Sometimes the best way to avoid a 3-year learning curve is to let someone else take the hits first. Read the full post-mortem of corporate data dysfunction here: https://lnkd.in/g9uixngn #RevOps #DataStrategy #AI #RealTalk #180ops #DataManagement

Qlik Predict Brings No-Code Predictive Intelligence to the Front Lines of Business Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence (AI), has announced the rapid adoption of Qlik Predict, as enterprises turn to real-time, explainable forecasting to drive smarter, faster decisions at scale. Built for enterprise-grade reliability and governance, Qlik Predict transforms how organisations leverage machine learning, putting no-code predictive models directly in the hands of business users across functions. Read More: https://lnkd.in/dZn8i3rG Qlik Brendan Grady #Qlik #PredictiveIntelligence #DataIntergration #DataQuality #Analytics #ArtificialIntelligence #AI #SupplyNetworkAfrica #SNA

🔍 “Data variety” is killing more AI & analytics efforts than lack of models. An article in TechRadar titled “Data variety: the silent killer of AI — and how to conquer it” struck a chord. The gist: messy, inconsistent, poorly documented data sources are often the hidden blocker in digital transformation. Companies can have all the aspiration for AI / insights, but if they don’t have a clean map of where their data lives, how it flows, who owns each piece — the rest becomes fragile.   At Bees Computing, that’s a problem we help solve. Here’s what we do: 🐝Data audit & mapping — identify what data you have, where it comes from, where it goes, who touches it. 🐝Schema alignment, normalization, versioning — ensure your data formats / definitions don’t drift, making it easier for analytics/AI to consume reliably. 🐝Data lineage / change tracking — monitor when systems change sourcings, new APIs, or introduce new sources, so the map stays current. 🐝Governance & ownership — defining who is accountable for each data flow or transformation. If something breaks, you have a “go‑to” person and a readable trail. 🐝Automated tooling + recommendations — combining automation with human review to reduce manual toil and risk of error. The upshot? With better mapping & data hygiene, AI and analytics deliver more predictable results. Projects are less likely to stall. You spend less time firefighting and more time extracting value. Curious: what’s the biggest data variety challenge you’ve seen in your organization — schema mismatches? changing APIs? poorly documented sources? Let’s trade war stories, and we can show you how we’ve helped folks move past them.   article: https://lnkd.in/g2fUYsEr   #DataMapping #DataGovernance #AI #SMB #Analytics #BeesComputing

🧠 AI doesn’t fail because the tech is broken—it fails because the data is. This TechRadar piece nailed something we see all the time at Bees Computing: organizations aren’t lacking ambition or fancy algorithms—they’re tripping over inconsistent, undocumented, and siloed data. It’s not enough to “have data.” You need to trust it, track it, and tune it so it can fuel your AI and analytics efforts instead of undermining them. Here’s what I believe: ➡️The best AI models can’t fix a broken foundation. ➡️Data mapping isn’t just IT’s job—it’s a business survival skill. ➡️If your data flows are undocumented, your risk flows are invisible. We help businesses fix this every day—and when they do, the results aren’t just cleaner dashboards. They’re faster decisions, fewer surprises, and more confidence. Would love to hear from others: What’s one data mess that caught you off guard or blocked progress? Let’s make these challenges visible so we can all learn from them. #AI #DataGovernance #Leadership #DigitalTransformation #DataMapping #SMB #BeesComputing

🚀 Unlock the Power of Real-Time Data with UBIX DataSpace! 🚀 In today's data-driven world, making informed decisions quickly is crucial. The latest article, "Why UBIX DataSpace: Great AI Requires Realtime Access to All Data," dives deep into how UBIX DataSpace is revolutionizing the way we handle data. Here are three reasons why you should read it now: ✅ Comprehensive Data Integration: UBIX DataSpace connects to over 500 data sources, enabling seamless data ingestion and profiling. This ensures that all your data, whether structured or unstructured, is easily accessible and ready for analysis. ✅ User-Friendly and Efficient: With a no-code interface and advanced monitoring capabilities, UBIX DataSpace simplifies data management. This means you can achieve data-driven success without the need for specialized tools or resources. ✅ Enhanced AI Capabilities: By leveraging GenAI, Reinforcement Learning, and AgenticAI, UBIX DataSpace transforms data into actionable insights. This empowers businesses to make better decisions faster and stay ahead of the competition. Don't miss out on this game-changing technology! Read the full article now and discover how UBIX DataSpace can take your data strategy to the next level. https://lnkd.in/giqskfdB #DataScience #AI #DataIntegration #UBIXDataSpace #Innovation

🚀 Just launched: SAS Retrieval Agent Manager (RAM) – the newest addition to the SAS AI portfolio, and it’s a game-changer. 💡 RAM helps organizations unlock the power of their own unstructured data—think documents, manuals, logs, and more—and turns it into fast, relevant, and trustworthy answers. No code required. No overhaul needed. Just smarter decisions, faster.🌍 Whether you're in banking 🏦, insurance 📄, public sector 🏛️, health care 🏥, life sciences 🧬, or manufacturing 🏭, RAM is built to deliver value across industries. From fraud detection to predictive maintenance, it’s already transforming how teams work. 🔐 And yes—so trust and transparency are baked in.👉 Read the full story [New SAS Re...agentic AI]

Your #AI is smart, but does it really know your locations?   Most AI tools don’t. They’ll give you general tips, but not which of your stores has outdated hours or which network drives the most clicks.   That’s why we built an MCP (Model Context Protocol) server: a secure way to plug your PinMeTo Listings & Insights data into tools like Claude Desktop, so AI gives you answers based on your actual locations, not guesses.   ✨ What you can do with MCP: - Spot broken or missing data across locations - Compare impressions and clicks by network - Identify where visibility isn’t converting - Copy setup from top-performing stores - …all in natural language prompts.   Check out the article to see what it looks like in action: 🔗 https://lnkd.in/d6BPMXcP     #AISearch #SEO2025 #LocalMarketing

Clarista is now sharing insights on Medium. We're publishing thought pieces on AI-native data fabrics, governance at the source, and how enterprises can finally move from data chaos to decision-ready intelligence. https://lnkd.in/eHB2DTna Our most recent article breaks down how Clarista transforms enterprise knowledge in four steps: Represent → Trust → Enrich → Deliver. Follow us on Medium to keep up with the latest thinking on data, AI, and enterprise intelligence. https://lnkd.in/enKNG6NF #AI #DataGovernance #EnterpriseIntelligence #Clarista #UnblockKnowledge

#AI runs on #metadata. "Organizations should establish a formal data cataloging process for inventorying their data assets and capturing metadata. The readiness of data for AI and GenAI considers the data itself as well as metadata, which helps organizations understand exactly how, when and why data is used." https://lnkd.in/gPVaaiCH