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When you ask if two SQL queries are semantically equivalent, there isn't a range of creative answers. There is exactly one right answer. LLMs are probability distributions, which makes them the wrong tool for half of a data engineer's job. Asking a probabilistic model like an LLM to handle deterministic truth is how you get flaky agents that fail in production. Syed Aqueel Haider and Surya Iyer address this by taking the LLM out of the correctness layer entirely. A deterministic Rust and TypeScript engine handles the hard logic, while the LLM focuses purely on intent and strategy. Read the full breakdown👇

Stary kod. Nowe możliwości. ⚡ AI może dziś pomóc zrozumieć wieloletni codebase, odtworzyć dokumentację, zmapować zależności, wygenerować kod i wesprzeć testowanie. Na webinarze pokażemy, jak wykorzystać te możliwości w modernizacji legacy – i gdzie kończy się AI, a zaczyna engineering. 📅 30 września | 10:00

Przez lata przepisanie starego systemu oznaczało duży budżet, miesiące pracy i spore ryzyko. AI zaczyna zmieniać tę kalkulację. Podczas webinaru Alterdata × Google Cloud pokażemy, jak AI może przyspieszyć analizę codebase’u, reverse engineering, dokumentację, development i testy – oraz gdzie nadal kluczowa pozostaje rola inżynierów. 📅 30.09 | 10:00 | online

Most AI infrastructure gets bought one vendor at a time. Streaming here, a database there, search bolted on later. Seven contracts, weeks of glue. The Aiven Data & AI Cloud: one control plane, any cloud, no lock-in.

"Who are our most profitable customers?" Six systems, no canonical table, a "profit" column that is really revenue. Now point an agent at it. Aiven DataHub gives people and agents the same trusted map: what data exists, what it means, who owns it, whether it's safe to use.

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BLUF: Enterprise AI initiatives will fail if they are fueled by legacy, unstructured data dumps. Because modern AI is designed to confidently predict rather than verify, feeding it static data causes highly convincing but dangerous "hallucinations" that can severely damage revenue margins. To safely automate pricing and revenue decision-making, organizations must transition to "Agent-Ready Data"—semantically structured, on-demand intelligence explicitly tagged with machine-readable metadata and agent instructions that grounds AI in true market reality and entirely eliminates guesswork.

In my previous article I have mentioned how wrong data generates agent/LLM hallucinations. Recently I realized there is more to it. A new term: cognitive surrender. Have you heard about it? Read the article. Or the BLUF if you have no time.

🛑 Stop producing more reports and shift your focus on producing better ones: focused, relevant, and built for action. Join our LIVE webinar on 7 May (Thursday) with Zori Dimitrova and Philip Manev to learn how! #ADataPro #Webinar #MediaIntelligence #SocialListening #MediaReports #PR #Marketing #Communications #Comms #Measurement

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The next important narrative may not be in your keyword list. Predefined monitoring helps institutional teams track the policies, actors, countries and sensitive issues they already know matter. But information environments evolve. New themes emerge. Language changes. Unexpected associations form across markets and communities. A Data Pro combines Boolean monitoring, topic modelling and entity-based analysis to detect both known and emerging narratives — then adds expert validation to assess relevance, credibility, political nuance and escalation potential. ➡️ https://bit.ly/4pRQvDE

Training, inference, and vector retrieval stress a database in completely different ways. The tool that wins at one is often the wrong pick for another. We put the leading options head-to-head so you find out before you build on the wrong one.

Same workload, 80% fewer instances. That's what teams see when they move to Aerospike. Get a free 60-day trial of Aerospike Enterprise Edition and test it against your own workload.

Where is the smart money going in the agentic AI era? Catch our exclusive Fireside Chat at #Autonomous26 London, featuring Ramin Sayar (Investor, DFJ Growth) and Rohit Choudhary (CEO, Acceldata), on what they're seeing from the investor's seat, and what it really takes to build an autonomous enterprise. Connect with data leaders high above the City of London. 🔗 Save your seat: https://lnkd.in/erYQ-ftV

Three weeks today. Three weeks until the leaders rewriting data architecture for the agentic era stop to tell you what they’re building. Live, in the heart of the City of London. #Autonomous26 London isn't a lineup of keynotes to sit through. It's a room full of the people actually doing the work showing you what they are up to: HSBC, Merck, Pfizer, Lloyds, IBM, and more, together for one day only. The old architecture got you this far. It won't get you through what's next. 📍 Convene, 22 Bishopsgate, London 📅 Thursday, 17 September 2026 🎟 Save your seat: https://lnkd.in/erYQ-ftV Who's coming with us?

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