illumex

Look, we get it. Managing data and AI governance across systems while staying compliant can be tough... But it doesn’t have to be! In our latest guide, we cover Augmented Governance to show you how you can: ? Streamline your governance process ? Automate the boring stuff ? Guarantee your data is always audit-ready Data-driven doesn't have to just be a buzzword. Learn how to effortlessly organize, tag, and visualize your structured data, all while promoting a culture that encourages smart, data-based decisions. Grab your copy here: https://lnkd.in/duCV5ekn Let's get your data working for you, not the other way around! #AugmentedGovernance #AIGovernance #GenAI

?? What’s the real cost of DataOps for GenAI? Inna Tokarev Sela and Kent Graziano break it down on DataOps.live—and why, for data leaders, skipping DataOps is like skipping leg day. Here’s what you need to know: ? DataOps: Non-negotiable Think cutting DataOps saves you? Nope! Without it, AI projects topple under inconsistent metrics, governance gaps, and unreliable data. Inna spells it out: the cost of doing it right is nothing compared to fixing the chaos without it. ? Semantic data: GenAI’s GPS GenAI can’t read your mind (yet). So, no semantics? No direction. To work well, AI needs semantically meaningful, context-rich data. Without it your GenAI ends up winging it—fun, until it gets everything wrong. ? Governance: the AI Lifesaver Governance and well-structured ontologies keep GenAI outputs in line with your company's standards. It's a must-have foundation for trustworthy decisions. ? AI evolves jobs, doesn’t take them Let’s get one thing straight—AI isn’t here to take over; it’s here to handle the mundane, tedious stuff so you can focus on big wins. But you might need to add new skills in validating outputs, data integrity, and keeping automation in check. Ready to up your GenAI game? ?? Catch the full episode here: https://lnkd.in/ePJX8gxv

Picture this: you're moving 115,000 tables and 1.5 million columns of data to the cloud, all labeled in cryptic code with no clear context or meaning. And the people who’d initially worked on the system? They had moved on. So there's no one to ask about the business context either. Kind of like playing 3D chess with your data—each move has layers and ripples you can't always see. That’s the challenge a major retail conglomerate faced when migrating from SAP ECC to S/4 HANA. Then, they brought in illumex—and turned randomness into clarity. Here’s what the company achieved: ? Rapid Data Gap Resolution: Two years of work condensed into one week. ? Simplified Data Landscape: Focused on critical assets, cutting unnecessary costs. ? Better Stakeholder Engagement: Complex data is now accessible to all. ? Efficient Data Management: Faster access to quality data for smarter decisions. We sat down with the Associate Director of Data & Analytics to get the full story. Read more ?? https://lnkd.in/dreaJJep

Your AI may be looking into the future, but your data habits could be stuck in the past. Avoid these 7 sins from holding your organization back: ?? Pride: Assuming your data is perfect without ongoing reconciliation and validation (Spoiler: it's not.) ??? Gluttony: Hoarding endless data but restricting access to data experts only. ? Wrath: Letting chaos reign by skipping data and AI governance altogether—because who wants another failed manual documentation project? ?? Lust: Chasing shiny new GenAI models without cleaning up your data and governance game first. ?? Greed: Keeping data locked in silos across platforms and departments—why share when you can keep it all stacked away? ?? Envy: Blindly copying other organizations’ data and AI strategies, instead of building one tailored to your unique needs. ?? Sloth: Failing to update your documentation and governance policies because “if it ain't broke..." Want to turn your data into your most powerful asset? Focus on these key pillars: ? AI-Ready Data: Automated semantic mapping, reconciliation, and labeling break down silos, making your data accurate, accessible, and enriched with meaningful business context. ? Augmented Governance: Automated documentation of terms, metrics, relationships, and sensitive data tagging keeps your data aligned and transparent—preventing chaos and keeping everything in check. ? Reliable GenAI Deployment: Automated context and reasoning create the foundation for GenAI that delivers trustworthy, hallucination-free insights—helping your team make smarter decisions. P.S. Want to learn more? Check out the link in the comments.

POV: Another LLM-related invoice just hit your desk. ?? If you think deploying LLMs is just “license and go”... Think again. Spoiler alert: the total cost of ownership (TCO) is loaded with hidden price tags. From rising token fees to endless compliance updates—and don’t even get us started on all the fine-tuning. (We got dizzy just typing this. ??) Yup, those “invisible” costs add up fast. Curious about the true cost of LLMs? This blog breaks it down: ? Where costs sneak up (and how to dodge them) ? Smart strategies to reduce manual work and budget strain ? Practical ways to make LLMs work for you, not against you ???????? ?????? ???????? ?????????????????? ????????: https://lnkd.in/dvKN6Xei #LLM #GenAI #TCO

Think ‘structured data’ means ‘easy to analyze’? GenAI would beg to differ. Structured data is where real business value lives—it holds the key to precise, actionable, growth-driving insights. But without the right context, semantic alignment, and governance? It can lead to skewed GenAI results, lost opportunities, and even compliance risks. In our new blog, you’ll learn: → Why structured data is still tricky for GenAI → How to make it a valuable, AI-ready asset → Practical steps to maximize GenAI’s potential for your business Check it out here: https://lnkd.in/damd_88n

Can't wait for tomorrow's podcast with Inna Tokarev Sela, a true AI innovator. You don't want to miss this one! Just click on the event below and register.

What did the first wave of GenAI get wrong? And what’s different in the second wave? Inna Tokarev Sela recently joined Run:ai to unpack the lessons from GenAI’s early failures—and the breakthroughs driving today’s success. What's more, Inna reveals: → Why most GenAI projects initially failed (hint: it wasn’t the AI model itself) → How today’s infrastructure is transforming the future of ML → The critical role data plays in AI’s reliability and scalability You can watch the video here to hear Inna’s take on GenAI’s next big leap ?? https://lnkd.in/ecFhAEUF

The insights hiding in your data be like... Gartner tells us that only 20% of business decisions are truly data-driven. Imagine the untapped potential sitting in your data—insights that could drive smarter decisions but are simply out of reach. GenAI was meant to open doors to easy, scalable insights for everyone in the organization. The thing is... AI needs more than just data. It needs data that’s truly AI-ready, and governed to its core. When your models rely on messy, inconsistent, or non-compliant data, you're setting sail with a faulty compass. Sure, you might move forward, but you’re bound to get off course—and the destination may not be what you expected. So what's the key to getting trustworthy, accurate GenAI responses? Augmented Governance. With automated documentation, classification, and tagging, you’re building a rock-solid foundation for trust and compliance. No missing data, no skipped standards, no frustrating silos blocking your progress. From your structured data to analytics and GenAI, augmented governance makes sure every single interaction is: ? Documented ? Certified ? Fully trackable So you get transparency like never before, with only 10% of the work. And that's when you can uncover those hidden insights and start making data-based decisions with confidence. Curious? Find out more in the blog: https://lnkd.in/db8SRuWa

?? If there’s something strange In your data stack, Who you gonna call? (illumex!) If your AI acts weird And it don’t look good, Who you gonna call? (illumex!) Don’t get caught alone, oh no! When compliance knocks at your door, Or data silos grow some more, You know you gotta call… (illumex!)?? That's right. When spooky data silos, regulatory werewolves, and hallucinating AI zombies start lurking, illumex ain't afraid of no ghost. Our Generative Semantic Fabric clears out the chaos, aligns your data, adds context and reasoning, and keeps your AI governed and reliable. Plus, it's fully automated. So... Who you gonna call? ?? illumex! Happy Halloween from our team to yours! ??