Discover Qlik Talend Cloud Data integration Pipelines with Databricks AI functions

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In Patch Release 8.0.1 R2024-07 Talend introduced native product support for JWT (JSON Web Token) validation. This new functionality significantly enhances security by enabling OIDC (OpenID Connect) / OAuth2 integration with REST services developed in Talend Studio.  With the introduction of JWT token validation, Talend now supports modern, robust security integrations. This allows for seamless authentication using external identity providers like Azure Entra ID or Keycloak, empowering users to authenticate against these providers and retrieve a signed JWT token tied to a specific service

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As organizational accountability and transparency requirements grow, sharing data and analytics insights with the public is no longer just a "nice to have"—it’s a competitive advantage. For businesses, it helps build trust and showcase expertise. For governments and institutions, it fosters accountability and transparency. Today, Qlik launched a new capability that enables you to seamlessly and securely share public data with any visitor to your site or portal—without requiring them to log in to access apps, reports, or dashboards.

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For August & September 2024, Connector Factory has released more connectors for data integration, data analytics and application automation.

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It’s been an exciting year for Qlik Cloud Reporting. Back in December 2023, we took a big step by adding tabular reporting to our dashboard-style capabilities, something many of you have been asking for. This update comes packed with features like report task management, easy imports of recipient lists from connected data sources, powerful filtering using bookmarks, and simple uploads for tabular report templates. Now, report developers can easily handle centralized tabular reporting tasks right inside Qlik Sense apps. Thanks to our incredible Qlik Cloud customers, we’re gearing up to roll out even more cool features! We’re putting the finishing touches on our cloud reporting capabilities for Q4: Report Cycling: Developers can set up report tasks to cycle through a dimension, creating reports for each value. Expanded Report Task Guardrails: With cycling reports, we’re increasing the task guardrails for production and batch processing to 500 reports. Report Task History: Developers will have better visibility into past task runs with a new report task history feature that keeps track of up to three months of execution data. Plus, we’ll surface error and warning messages to help troubleshoot any issues. PixelPerfect Authoring: We’re introducing a new template authoring feature for PixelPerfect reports! Create advanced document templates that meet strict customer or compliance needs using Qlik data, visualizations, or even a library of print-ready visuals. As BI leaders get ready for Qlik Answers, Qlik AutoML, and Qlik Talend Cloud, we know that having flexibility in report types and control over operations is key for keeping everyone in the loop. As we launch these new features, we’ll also be focusing on enhancing operational task controls, including email reporting solutions. Sign up for this webinar on October 17th to explore Qlik Cloud’s Reporting Evolution and get a sneak peek at everything it has to offer! Sign up for Qlik Insider Webinar on November 13th hosted by Qlik’s VP of Analytics Portfolio Marketing, Mary Kern, this episode of Qlik Insider dives into to the role of reporting in the world of modern BI. ...View More

Distribute chart images through Qlik Application Automation

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Your passion for data-driven insights has always been our driving force. Since we introduced Qlik AutoML as a key component of our AI-driven analytics strategy, your feedback and innovative use cases have shaped its evolution. Today, we're thrilled to unveil the next generation of Qlik AutoML, packed with features you've been asking for. You told us you wanted to harness the power of machine learning without deep data science expertise, and we listened. This release is a testament to our ongoing collaboration, bringing cutting-edge capabilities directly to your fingertips. Let's dive into the new capabilities that you'll soon be exploring: Intelligent Model Optimization: Remember those challenges with feature engineering and handling imbalanced datasets? AutoML now automatically tackles these for you. Here's what you can expect: Advanced feature engineering for dates and text Comprehensive correlation analysis Automated target leakage checks Intelligent handling of outliers and imbalanced data The result? Faster, better models that capture the nuances of your unique business data. Embedded Analytics: You asked for tighter integration with Qlik Sense, and we delivered. Now you can: Compare models side-by-side directly in Qlik Sense Analyze predictions using SHAP (SHapley Additive exPlanations) values Visualize results in the context of your existing dashboards This tight integration ensures that predictive insights are readily available in your existing analytics workflows. Enhanced MLOps: As many of you have scaled your predictive analytics efforts, you've stressed the need for robust MLOps features. We heard you, and now you have: A fully serverless lifecycle for training, deployment, and monitoring Granular access controls Automated retraining to maintain model reliability These enhancements align with Qlik's comprehensive AI strategy, focusing on trusted data, AI-enhanced analytics, and self-service AI solutions. Qlik AutoML plays a crucial role in this vision, bridging the gap between advanced machine learning capabilities and your practical needs as analysts and business users. Under the hood, we've incorporated state-of-the-art techniques in automated machine learning, all while keeping the interface intuitive and code-free. This means you can now build models that rival those created by data scientists, all within the governed, secure environment you trust. We recently showcased these new capabilities at Qlik Connect, and the enthusiasm from attendees like you was overwhelming. The latest version of Qlik AutoML is now available, ready for you to explore and push the boundaries of what's possible with your data. Looking ahead, your feedback is already shaping the future of AutoML at Qlik. In the coming months, we'll be introducing even more advanced features, including enhanced support for time series forecasting, automated anomaly detection, and deeper integration with Qlik's associative engine for even more powerful predictive insights. As we continue to lead the way in AI-powered analytics, we invite you to experience the next evolution of Qlik AutoML and harness the power of advanced machine learning. Don't wait to turn your data into a competitive advantage – start exploring Qlik AutoML today, drive proactive decisions with measurable business impact, and join us in shaping the future of augmented analytics. Want to Learn More? Get Started with AutoML today Do More with Qlik - Create the Predictive Model Do More with Qlik - Create the Qlik Sense Predictive App ...View More

Say goodbye to the days of pinging product managers for answers, sifting through documents, and scrambling for competitive insights just minutes before a call. Say hello to SalesAI – a transformative solution that empowers sellers to access the information they need precisely when they need it.

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Informing workers with knowledge from unstructured content.  A plug-and-play, Generative AI powered RAG solution.

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Introducing LLM-driven language generation and automated authoring

 

Insight Advisor in Qlik was introduced in 2019 as a first step into AI-driven analytics.  At the time, users could auto-generate visualizations and analytics using selections and keyword search.  That kicked off a journey of rapid innovation that resulted in full natural language-driven insight generation in over 10 languages, conversational analytics through Insight Advisor Chat, natural language insights on dashboards, a variety of advanced analysis types such as correlation, clustering, forecasting, key driver analysis, etc., and predictive analytics with Qlik AutoML.  We introduced a rich business logic layer to customize natural language processing and insight generation, and a full set of augmented analytics APIs to extend and embed AI-driven capabilities.

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