Give your AI the context to explain why

Ask ChatGPT or Claude why margins fell in the Northeast last month. The AI may understand the question, but does it know how your business defines margin, which data is authoritative, or what actually drove the change? Without that context, the AI fills in the blanks with assumptions, and the answer reflects those assumptions instead of your business.

That is the challenge enterprises face as they bring AI into everyday decision-making: connecting AI to the right data while keeping the definitions, relationships, and analytical context that give it meaning.

The Model Context Protocol (MCP) offers an open, standardized way to connect AI to enterprise data and tools, so you can skip the custom integration for every assistant and stay flexible as new models emerge.

Whether you use Qlik today or are exploring what’s possible, watch Nicole Tumblin, Qlik’s Head of Business Operations, and Nick Magnuson, Qlik’s Head of AI, for a conversation on:

  • Why an open standard matters and how it helps you avoid one-off integrations as AI evolves.
  • Why AI needs business context on top of data. See how related data and deeper analytical logic turn a literal answer into one that explains why.
  • Best practices for connecting AI to enterprise data while maintaining governance, security, and the business context needed for reliable answers.
  • How Qlik brings governed data, business context, and analytics logic into the AI assistants you already use, including Claude, ChatGPT, Copilot, and Gemini.
  • How the governed analytics and data foundation you’ve already invested in can accelerate your AI strategy without starting over.

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Webinar Series

Operational Excellence for Evolving Data Platforms

Join Qlik for a webinar series designed to help Qlik Talend customers modernize data integration environments, improve operational efficiency, and reduce manual effort across development, testing, deployment, and execution workflows.

As data platforms evolve, operational excellence depends on more than keeping systems running. Teams need reliable ways to automate deployments, validate changes, manage migrations, support scalable architectures, and deliver trusted data across increasingly complex environments.

This series explore practical approaches for modernizing Qlik Talend operations, including CI/CD-enabled Job promotion, automated testing, migration acceleration, Open Lakehouse architectures, flexible Job execution, and real-time integration patterns.

Across each session, Qlik experts will share strategies to help teams improve agility, strengthen governance, and deliver data integration work with greater speed and confidence.

Accelerate Talend Job Promotions with CI/CD

Learn how CI/CD automation and GitHub Actions can help Qlik Talend teams reduce deployment times, improve reliability, and eliminate manual promotion risks with automated testing, quality gates, intelligent delta-builds, and governed release workflows.

Integrazione AI terze parti e l’approccio Qlik all’AI tradizionale

I dati aziendali sono la tua risorsa più preziosa, ma come puoi trasformarli in decisioni strategiche in tempo reale senza appesantire il team di sviluppo?

In questo webinar esclusivo ti mostreremo come abbattere le barriere tecniche e accelerare l'innovazione aziendale sfruttando le più recenti tecnologie di AI integrate in Qlik e, in particolare, come Qlik MCP Server permetta di connettere agenti AI esterni ai tuoi dati e come l'Automated Machine Learning abiliti i business analyst a creare modelli predittivi senza scrivere codice.

Il valore strategico dei Data Lakehouse: navigare nel futuro dei dati con Qlik Talend Cloud

Il mercato dei dati si sta muovendo rapidamente verso architetture aperte, ma la gestione di un Lakehouse moderno spesso si scontra con barriere tecniche complesse e costi di manutenzione elevati.

In questo webinar esclusivo scopriremo come Qlik Open Lakehouse superi questi ostacoli.

Integrata nativamente in Qlik Talend Cloud, la soluzione offre un approccio no-code/low-code per trasformare i dati grezzi in asset pronti per l'analisi e l'Intelligenza Artificiale, eliminando la necessità di gestire manualmente l'infrastruttura sottostante.

Le architetture dati cloud: focus su Qlik Open Lakehouse e Qlik Talend Cloud (Demo)

I silos dati e la complessità architetturale rallentano la trasformazione digitale. Questo webinar vi offrirà una sessione pratica focalizzata sulla integrazione dati e la data governace. Vi permetterà di vedere come governare l'intero ciclo di vita dei dati in modo agile e sicuro con la piattaforma Qlik Talend Cloud e come creare in maniera semplice una pipeline che alimenta Qlik Open Lakehouse dando anche spazio a Governance e aspetti di AI. Imparerete così a ridurre i tempi di sviluppo dei progetti e ad avere la massima qualità del dato per i vostri modelli AI.

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