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Not sure if your use case and dataset are suitable for synthetic generation? Get clarity in a commitment-free session with a BlueGen specialist. No sales, no slides. Just an honest assessment of accuracy, privacy, and feasibility.

How reliable is synthetic data? Synthetic data is rising fast, but one question matters more than anything else: can you trust it? High quality synthetic datasets can mirror real world patterns with remarkable fidelity, often achieving over ninety percent statistical resemblance when generated and validated correctly. But that level of reliability is never automatic. It depends on the quality of your source data, the sophistication of the generative models and the rigour of your evaluation process. Reliable synthetic data consistently proves itself in three areas: 🔹 It preserves core statistical relationships that underpin your analyses 🔹 It performs in downstream machine learning tasks with accuracy close to real data 🔹 It protects privacy by eliminating direct links to individuals and preventing leakage through inference The key is validation. Organisations that treat synthetic data as a pipeline rather than a black box see the strongest results. With proper resemblance testing, utility evaluation and privacy checks, synthetic data becomes a dependable asset that enables faster experimentation, safer collaboration and more resilient models. You can read the full breakdown in the link below https://lnkd.in/dcfikmuu Want to see how reliability is measured in practice? Request a demo: https://lnkd.in/dAv8YSKk

AI agents are only as good as your data. Before you deploy, you need a governance foundation - not a 2-year transformation plan. Daryna Kučerová, Google Cloud Certified Professional Data Engineer at BizzTreat, will walk you through the practical side of data governance in the age of AI agents - no theory overload, just what actually matters when you're ready to deploy. What you'll cover: ✅ Why agents change the governance game vs. traditional BI and analytics ✅ The "Agent-Ready" Data Checklist: data quality, metadata & cataloging, access rights, and lineage ✅ What happens when you skip it - real-world scenarios: hallucinations, GDPR exposure, agents acting on wrong inputs ✅ How to pick your first governance pilot and build iteratively - no 2-year transformation required 📅 May 26, 2026 | 10:00-11:00 CET

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Travel booking pages have a favorite hobby: changing their interfaces without notice. A button moves. A flow updates. Suddenly, your in-house scraper is broken and your pricing model is running blind. You didn't hire senior engineers to play cat and mouse with HTML selectors. Bright Data takes the operational burden off your team. We manage the pipelines and deliver validated travel data straight to your stack, so your engineers can focus on your product roadmap.

TL;DR: we are organizing our second data meetup in Istanbul, Sep 24! Ilk Data Istanbul etkinligimizin ustunden bir ay gecti, beklentimizin cok ustunde bir katilim, yetistiremedigimiz lahmacunlar, ve keyifli sohbetlerle hatirladigimiz bir etkinlik oldu. 🌯 Etkinligimizin ikincisini 24 Eylul 2025 tarihinde yine sevgili QNBEYOND ofisinde duzenliyoruz! Cok sevgili iki konusmacimiz var: - Bahattin Çiniç bize growdash ekibiyle birlikte AI yolculuklarini anlatacak. - Şeyma Karadağ Tafralı da bizi Papara'nin data yolculugundan ve ogrenimlerinden bahsedecek. Data konustugumuz, bir seyler yiyip ictigimiz keyifli birkac saat olmasi dilegiyle. Sizleri de aramizda gormeyi cok isteriz! 🌸

You already have the data, what you need is clarity. Brightmetrics helps Genesys Cloud users move beyond assumptions with the visibility to act decisively, train smarter, and lead with confidence.

You already have the data, what you need is clarity. Scan Health Plan's contact centers use it to retain agents, meet compliance targets, and deliver measurable outcomes across remote teams. Find out how.

O uso de IA e dados está transformando o agronegócio em todas as etapas, do planejamento de safra à comercialização. Tecnologias como Machine Learning e GenAI permitem prever demanda com maior precisão, monitorar lavouras em tempo real, reduzir custos com insumos, aumentar a produtividade e atender às crescentes exigências de sustentabilidade.

Veja como dados, machine learning e GenAI já estão sendo aplicados para transformar supermercados e atacadistas em desafios complexos como gestão de estoques perecíveis, margens apertadas, experiência fragmentada do cliente, perdas e integração omnicanal 🚀

Market Insights: https://heyor.ca/dDuLSQ With the Thanksgiving holiday reducing lane activity last week, auction volumes and bidding momentum slowed, which in turn eased the pace of depreciation. Conversion rates remained solid in the mid-50% range but slipped from the prior week’s 56%, and the overall market posted its smallest single week decline since early October. #MarketInsights #AuctionVolumes #DepreciationTrends #BiddingMomentum #ConversionRates #SingleWeekDecline #BlackBookAnalysis

See how your credit union ranks. Get your personalized CU Index Scorecard.

How does your credit union compare nationally? Get your CU Index Scorecard.

From motorcycles to ATVs and utility vehicles, most segments have seen notable declines this fall, with Street Bikes being the only bright spot. Tariffs on steel and aluminum continue to challenge manufacturers, and consumer confidence remains cautious. Hear more about what Scott Yarbrough has to say. Get the full Q4 2025 Motorcycle & Powersports Market Insights from Black Book: https://heyor.ca/gEGDHg #Powersports #Motorcycles #MarketInsights #BlackBook #IndustryUpdate

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„Kein Mensch braucht ein Data Warehouse!“ Stimmt. Wenn dich nicht interessiert, was in deinem Unternehmen passiert. Wir kennen diese Aussagen: „Unser ERP reicht.“ „Power BI direkt auf die Datenbank.“ „Historie brauchen wir nicht.“ „KI machen wir später.“ Doch diese Aussagen kommen fast immer von Unternehmen, die Entscheidungen aus dem Bauch treffen – und sich wundern, warum Zahlen nie zusammenpassen. Aber was dann passiert, kennt jeder IT-Leiter: Excel-Listen als „Single Source of Truth“. Berichte, die sich widersprechen. Preise, Kunden, Strukturen ohne Historie. Und KI-Projekte, die mit 600 Datensätzen scheitern. Nicht, weil die Tools schlecht sind, sondern weil das Fundament fehlt. Ein Data Warehouse ist kein Trend. Es ist auch kein Tool. Es ist eine Entscheidung. Willst du Meinungen oder belastbare Antworten? Genau darüber sprechen wir in unserem neuen YouTube-Video. Erfahre, wann ein Data Warehouse wirklich Sinn macht und wann du dir den Aufwand sparen kannst. Den Link zum Video findest du in den Kommentaren. Wie trefft ihr aktuell Entscheidungen – mit Daten oder mit Hoffnung?

Das eigentliche Problem in BI-Projekten ist nie das Tool. Es sind die Menschen, die es falsch einsetzen! Power BI, Tableau, SAP – völlig egal. Die meisten BI-Projekte scheitern nicht an Software, sondern daran, dass jede Abteilung glaubt, sie könne ihre eigene Version der Wahrheit bauen. Self-Service wird plötzlich zum Selbstmord für die Datenqualität. Fachbereiche hängen sich direkt an ERP und CRM, modellieren wild drauflos, erfinden ihre eigenen Formeln – und am Ende fallen die Zahlen in sich zusammen wie ein Kartenhaus. Der IT-Leiter räumt dann das auf, was nie seine Verantwortung war: falsche KPIs, widersprüchliche Berichte, fehlende Historisierung, Performance-Probleme. Das hat mit moderner BI nichts zu tun! Das ist Schatten-IT auf Steroiden. Und genau das passiert gerade überall im Mittelstand. Jeder redet über Tools. Keiner redet über das Fundament. In unserem neuen YouTube-Video zeigen wir, warum der Hype um BI-Werkzeuge am Kern vorbei geht – und warum Power BI in vielen Unternehmen nicht Fortschritt bringt, sondern Chaos verstärkt! Hier geht's direkt zum Video: https://lnkd.in/dN2qFt6t Kennst du solche Zustände aus deinem Unternehmen?

Ingest up to 80x as much data for the same budget.

Your board wants an AI plan. You need a data plan. Get the second one right and the first one becomes easy. Live seminar in Hamilton on 17 June.

A question I would put to every CFO and CRO in Bermuda right now: if your AI failed an audit tomorrow, would the auditor flag the model or the data underneath it? In our experience the answer is the data, almost every time. On 17 June we are running a live demo of what governed data looks like under an audit lens. For the people whose job it is to have that answer ready.

What makes BigData Republic stand out as a data consultancy? For Enrico Mosca, it’s the combination of focus and people: a boutique consultancy fully dedicated to data. A place where you can work with highly skilled engineers, tackle challenging problems, and continuously grow your technical expertise. After gaining experience in startups and larger consultancies, this was exactly what he was looking for. Today, he works as a Senior Data Engineer, building systems that make data available where and when it matters. Because at BigData Republic, it’s not just about data. It’s about the people, the challenge, and the drive to keep improving. Interested in finding out if BigData Republic is the right fit for you? Check out the vacancies here: https://lnkd.in/g8-UzJBQ 🌟

Would you trust ChatGPT to run your procurement? Adjudicate an insurance claim end to end? Reconcile what's actually moving through your supply chain? Neither would your risk team. That gap is the only reason we're sponsoring Snowflake Summit 2026. At booth 1304 there's no video on loop. No "imagine if." We're demoing the real product, live, on the messiest data in the room. Every field it returns is confidence-scored and traceable, because "probably right" doesn't survive an audit. bem automates the workflows you can't afford to get wrong. Banking. Insurance. Supply chain. Bring your ugliest document. The one your last vendor choked on. We'll run it at the booth. Booth 1304, Basecamp at Moscone.

We’re at Snowflake Summit. Bring us your messiest document problem. Invoices, contracts, PDFs your team gave up on. We’ll turn it into structured, usable data — live, at the booth. Booth 1304.

O planejamento de 2027 já começou. Escolha a BigDataCorp como seu provedor de dados e conte com escala, tecnologia e confiabilidade