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O ano de 2026 marcará um ponto de inflexão na forma como as organizações utilizam dados e inteligência artificial. A IA evoluirá de simples assistentes para agentes autônomos capazes de executar processos complexos, tomar decisões e gerar impacto real nos negócios. No entanto, esse avanço só será possível se as organizações contarem com dados confiáveis, governados e acessíveis em tempo real.

Denodo is proud to join ADAPT Data & AI Edge, the region's premier invitation-only gathering for CDOs and Heads of Data. In an era where data fragmentation and trust remain the biggest hurdles to AI adoption, Denodo’s logical data management platform provides the bridge to a unified, secure, and real-time data ecosystem.

Connect with Our Experts

Whether you are participating in a 1:1 meeting, joining a moderated roundtable, or networking with peers, our local team will be on the ground to discuss your specific data challenges.

AI initiatives are accelerating, and Denodo partners are in a prime position to guide customers from experimentation to real business value. In this webinar, you’ll discover how Denodo 9.4 expands your ability to sell AI‑driven data modernization by delivering trusted, governed, and unified access to all enterprise data. 

At Denodo, we know that #EnterpriseAI is only as powerful as the data that fuels it. That’s why we are thrilled to announce that we are a proud sponsor of the Next Level AI Conference Europe (#NAICE26).

On April 15, 2026, we’ll be joining 500+ industry leaders and practitioners to look beyond the hype. We’re excited to showcase how logical data management and data virtualization provide the high-performance, governed foundation needed to turn #AgenticAI into a real-world business reality.

C-suite leaders agree: scaling AI to create business value is a top priority. Yet, despite widespread experimentation, a critical "GenAI Divide" is emerging. Research shows that a staggering 95% of custom enterprise AI tools fail to reach production, stalled by brittle workflows and a lack of contextual learning. The sharpest point of failure isn't the model itself—it's the data.

データ論理統合が最近注目を集めています。ガートナーは、データ論理統合を、あらゆるデータ統合アーキテクチャの重要なコンポーネントであると述べています。データ仮想化がなぜ注目を浴び、またガートナーの評価を受けているのか、当バーチャル・ハンズオン・ラボで是非ご体感ください。

As AI applications grow more sophisticated, the divide between structured and unstructured data has become one of the most significant bottlenecks in enterprise architecture. Building reliable, AI-ready pipelines means managing relational data, documents, images, and embeddings — often across disconnected systems, with no unified layer to govern or deliver them cohesively.

Denodo is pleased to again be sponsoring the Data Innovation Summit 2026, the largest and most influential AI & Data event in the Nordics and beyond. The Data Innovation Summit is the place to be for organisations working with utilisation of AI and data innovation for enhancing customer experience, improving operational processes, reinventing business models, or developing data-driven products and services. Visit the Denodo booth throughout the show for a live demo of the Denodo platform.

We are thrilled to announce that Denodo will be a key player at AI Week 2026. In a landscape where Generative AI has become the industry standard, the challenge has shifted. It’s no longer just about having the best model, but about how you fuel that model with trusted, governed, and real-time data.

At AI Week, we will showcase our vision for Logical Data Management: the architecture that enables large organizations to transform data chaos into a strategic asset, eliminating complexity and accelerating innovation.

データ論理統合が最近注目を集めています。ガートナーは、データ論理統合を、あらゆるデータ統合アーキテクチャの重要なコンポーネントであると述べています。データ仮想化がなぜ注目を浴び、またガートナーの評価を受けているのか、当バーチャル・ハンズオン・ラボで是非ご体感ください。

このワークショップでは、Denodo Platformとデータカタログ機能であるデータマーケットプレイスを使って、以下について解説します。本ワークショップでは、Denodo データカタログを活用したデータ検出プロセスについて説明し、レポートを作成するための適切なビューを設定することについて学びます。

Conversational AI is eliminating the barrier between complex technical data and actionable insights by allowing users and developers to interact with data using natural language instead of rigid syntax. The effectiveness of these AI assistants, however, relies on understanding the specific data landscape while strictly adhering to security and governance standards.

データ論理統合が最近注目を集めています。ガートナーは、データ論理統合を、あらゆるデータ統合アーキテクチャの重要なコンポーネントであると述べています。データ仮想化がなぜ注目を浴び、またガートナーの評価を受けているのか、当バーチャル・ハンズオン・ラボで是非ご体感ください。

本ワークショップでは、実際のDenodo環境を使って、分散データを生成AIアプリケーションに活用する方法について学びます。最新のDenodoの新機能 AI SDKにより、データの埋め込み、変換、編成を処理し、大規模言語モデル（LLM）用のデータセットをシームレスに準備することができます。

In the era of AI-driven automation, the push to be "data-driven" often fails because of a very human problem: we aren't speaking the same language. This semantic drift happens when different teams—and now, their AI agents—interpret the same information in conflicting ways. Without a unified semantic layer, a single KPI like "Average Revenue Per User" (ARPU) can be interpreted in conflicting ways; for instance, a business user might calculate it based on active monthly subscriptions, while an AI agent interprets it across all registered accounts.