Qlik Presents at Tech Field Day Experience at Qlik Connect 2024

Qlik’s Comprehensive AI and Analytics Approach

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Qlik supports over 40,000 global customers, helping them unlock the true value of their data. Our mission is to reveal hidden patterns, tackle complex challenges, and seize new opportunities using our AI/ML tools, enabling better decisions and providing a competitive edge.

Mary Kern, Vice President of Portfolio Marketing for Analytics and AI at Qlik, opened the Tech Field Day Experience at Qlik Connect 2024 by emphasizing Qlik’s commitment to helping organizations leverage AI to mitigate risks, embrace complexity, and scale their impact. Qlik, a leader in data integration, quality, analytics, and AI solutions, supports over 40,000 customers globally. The company focuses on five key areas to accelerate AI adoption: moving and transforming data from various sources, ensuring trusted data, providing comprehensive data access, empowering users with advanced analytics, and enabling actionable decisions.

Mary introduced the agenda, highlighting contributions from key team members, including Nick Magnussen on AI innovation, and leaders from the Data Integration and Quality Product Team on building a trusted data foundation. Experts Ryan Welsh and Kyle Jourdan would discuss new self-service AI solutions.

Qlik’s recent announcements at the event included advanced generative AI capabilities and tools for both structured and unstructured data. The company aims to help organizations automate insights, apply natural language processing, and create custom AI solutions to drive business transformation.

Personnel: Mary Kern

Customer Needs Driving Qlik AI Announcements

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AI offers unprecedented opportunities rooted in the power of data. To achieve smarter, faster outcomes in product launches, supply chains, customer experiences, and workforce productivity, organizations must address five key needs for enterprise AI adoption:

• Move/Transform: Integrate and transform diverse data sources.
• Trust: Ensure enhanced trust and explainability for AI applications.
• Access: Provide internal consumers with ready access to data and insights.
• Analyze/Predict/Answer: Use analytics, machine learning, and GenAI to extract insights from unstructured data.
• Act: Empower confident actions based on reliable AI-driven insights.

At the Tech Field Day Experience at Qlik Connect 2024, Nick Magnuson highlighted three major AI-related announcements driven by customer needs. Firstly, he emphasized the importance of having AI-ready data. Despite 96% of organizations feeling unprepared, Qlik’s new Talent Cloud aims to simplify data readiness for AI by creating a modern data engineering stack that supports both no-code and code-based data preparation. Secondly, he addressed the challenge of unstructured data, which constitutes 80% of organizational data, with 70% of organizations having not yet utilized it. Qlik Answers was introduced to allow natural language queries on unstructured data, making it accessible without needing complex setups. Lastly, Magnuson discussed enhancements to Qlik’s AutoML, which has seen significant adoption with 250,000 AI models created and 11,000 in production. The improvements focus on deeper analytics and more efficient model optimization, aiming to reduce the gap between experimental and production-ready models. These announcements underscore Qlik’s commitment to making AI more accessible and actionable for businesses.

Personnel: Nick Magnuson

Qlik Talend Overview and Demo of AI-Assisted Data Engineering

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Qlik Talend Cloud merges advanced data integration with AI-augmented automation, ensuring data quality and accelerating AI adoption. With both no-code and pro-code options, it simplifies data handling, enabling your team to tackle AI projects with ease. Our ‘Modern Data Engineering’ capabilities support rapid setup and deployment of data pipelines, and our patented Qlik Talend Trust Score™ for AI measures data validity and quality, ensuring trustworthy AI-driven insights.

At Tech Field Day Experience at Qlik Connect 2024, Dan Potter and Tim Garrod from Qlik presented an overview and demo of Qlik Talend Cloud, emphasizing AI-assisted data engineering. Celebrating the one-year anniversary of Qlik’s acquisition of Talend, the presentation highlighted the integration of Qlik’s real-time ELT capabilities with Talend’s ETL, data quality, and application integration strengths.

The session focused on three main areas:

1. Data Movement and Transformation: Tim Garrod demonstrated building robust data pipelines using Qlik Talend Cloud. He showcased the platform’s ability to handle diverse data sources and formats, supporting both real-time and batch processing. The demo included the use of Qlik’s change data capture (CDC) for real-time data replication and transformation, emphasizing the platform’s flexibility for both no-code and pro-code users.
2. Data Trust: The presentation introduced the Qlik Talend Trust Score™, which measures data validity and quality. This feature ensures that data used for AI, analytics, and operations is reliable. Tim discussed the integration of data quality capabilities from Talend, including data stewardship for business user involvement in data remediation.
3. Data Accessibility: The demo showcased how Qlik Talend Cloud makes data more accessible to business users and data scientists. This includes the generation of AI-ready data sets and documents, and the ability to deliver data to vector stores for AI applications. The platform also supports querying and interacting with data using natural language processing (NLP).

Throughout the presentation, the speakers emphasized the platform’s automation capabilities, reducing the need for manual coding and enhancing efficiency. They also highlighted future integrations and enhancements, including support for unstructured data and expanding capabilities across major cloud providers like AWS, Azure, and Google Cloud.

Recorded in Orlando, Florida at Qlik Connect 2024 on June 3, 2024. Watch the entire session at https://techfieldday.com/appearance/qlik-presents-at-tech-field-day-experience-at-qlik-connect-2024/ or visit https://Qlik.com for more information.

Personnel: Dan Potter, Tim Garrod

Qlik Talend Trust Score for AI with Demo

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The Qlik Trust Score for AI is an innovative offering that helps establish and monitor key quality metrics for AI project data. It provides an easy-to-understand score reflecting the overall quality and trustworthiness of your AI data.

The Qlik Talend Trust Score for AI presentation at Tech Field Day Experience at Qlik Connect 2024, led by Sharad Kumar and Tim Garrod, introduced an innovative tool designed to ensure the quality and trustworthiness of AI project data. The Trust Score evaluates data across six principles: diversity, security, timeliness, consumability, accuracy, and discoverability, ensuring it is AI-ready.

Sharad Kumar emphasized the importance of a solid data foundation for AI systems, highlighting the need to prepare data meticulously. Tim Garrod demonstrated the practical aspects of data preparation, including data ingestion, transformation, cleansing, and feature engineering. The platform leverages AI capabilities to automate and accelerate data engineering tasks, such as detecting PII and recommending data quality rules.

The Trust Score for AI extends the traditional trust score concept, focusing on data diversity to prevent bias, ensuring data security, maintaining up-to-date data, making data easily consumable, ensuring data accuracy, and enabling data discoverability with appropriate business semantics.

The presentation also showcased a demo of the Trust Score for AI within Talend Studio, illustrating how it integrates AI workloads and supports various data integration scenarios. The framework captures metrics and KPIs, adaptable to different customer environments and regulatory requirements, and presents them through a customizable Qlik Sense dashboard.

Additionally, the concept of data products was introduced as a means to bridge the gap between data producers and consumers. This approach emphasizes federation and agility, with domain-specific data products managed by dedicated data product owners, ensuring accountability, trust, and lifecycle management. The presentation concluded with a discussion on the practical implementation of data products within Qlik Talend Cloud, aiming to enhance data reusability and reduce time to market.

Personnel: Sharad Kumar, Tim Garrod

Qlik Self-Service AI Overview

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Maximize the Value of Your Enterprise Data with AI. Everyone in your organization can leverage predictive and generative AI. Qlik’s AI solutions are seamless, self-service, and contextual, enabling better decision-making across the board.

• Qlik AutoML: Make predictive insights available to your analytics teams. Use automated machine learning with Qlik AutoML® to create models, explore data, run experiments, and publish results without needing to be a data scientist.
• Qlik Answers: This plug-and-play, Generative AI-powered Knowledge Assistant provides personalized, relevant answers from curated unstructured content. It supports real-time business decisions with reliable and consistent answers, ensuring full transparency and trust. Unlike other solutions, Qlik Answers is complete out-of-the-box, simplifying deployment and use.
• Leverage Advanced AI Integration: Take advantage of third-party data science and generative AI models within Qlik applications for broader insight, context, and capabilities.

The presentation by Qlik at Tech Field Day Experience at Qlik Connect 2024, led by Ryan Welsh and Kyle Jourdan, focused on Qlik’s self-service AI solutions aimed at maximizing the value of enterprise data through predictive and generative AI.

Ryan Welsh, who joined Qlik through the acquisition of Kyndi, discussed the limitations of large language models (LLMs) in enterprise settings, particularly their tendency to produce inaccurate results due to outdated or incomplete data. He emphasized the necessity of combining LLMs with contextual enterprise data to create reliable AI solutions. Welsh introduced Qlik Answers, a Retrieval Augmented Generation (RAG) product designed to provide contextually relevant and trustworthy answers from unstructured content, addressing the pitfalls of traditional search engines.

Qlik Answers is a plug-and-play solution that simplifies deployment by integrating directly into existing applications, such as customer support systems, to offer direct, reliable answers. This system leverages advanced AI to link back to source documents, ensuring transparency and trustworthiness in the provided answers. Welsh highlighted the importance of focusing on specific user groups and repositories of information to enhance the system’s effectiveness and avoid the complexities of broad, enterprise-wide search systems.

Kyle Jourdan then demonstrated the capabilities of Qlik AutoML, which allows analytics teams to create predictive models, explore data, and run experiments without needing deep data science expertise. Together, these tools enable organizations to leverage both structured and unstructured data for better decision-making.

The presentation underscored Qlik’s commitment to providing seamless, self-service AI solutions that integrate advanced AI models and enterprise data, ultimately enhancing the efficiency and effectiveness of business operations.

Personnel: Kyle Jourdan, Ryan Welsh

Qlik Self-Service AI Demo

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Demos of Qlik’s AI/ML enhancements include:

• Auto ML: No-code Automated Machine Learning for analytics teams. Create ML experiments, identify key drivers, and train models to predict outcomes.
• Qlik Answers: Generative AI-driven answers from unstructured data, delivering personalized, relevant answers for better decision-making.

At the Tech Field Day Experience at Qlik Connect 2024, Kyle Jourdan showcased Qlik’s latest AI/ML enhancements through a comprehensive demo. The presentation highlighted two primary features: Auto ML and Qlik Answers, both designed to streamline and enhance data analytics for users.

Auto ML is a no-code Automated Machine Learning tool that enables analytics teams to create ML experiments, identify key drivers, and train models to predict outcomes without needing deep technical expertise. Kyle demonstrated the process of building an experiment to predict customer churn, emphasizing the ease of use and automation built into the tool. The Auto ML feature automatically handles complex tasks such as feature pre-processing, algorithm selection, and model optimization. It ensures users can generate accurate predictive models quickly by leveraging Qlik’s distributed compute environment for efficient model training. The demo also showcased the new embedded analytics capability, which allows users to visualize and understand model insights directly within the ML experiment interface, further simplifying the journey from data to actionable insights.

Qlik Answers, on the other hand, leverages generative AI to provide answers from unstructured data. This tool is designed to deliver personalized and relevant answers to user queries in natural language, making it accessible even to those without technical expertise. Kyle explained the concept of Retrieval-Augmented Generation (RAG), which allows the system to access and utilize internal documents and data sources to provide accurate and contextually relevant answers. He demonstrated how users can create a knowledge base by indexing various documents and then querying the system to retrieve precise answers, complete with citations from the source documents. This approach minimizes the risk of misinformation and ensures users receive reliable information. Additionally, the system’s ability to provide feedback and track user interactions helps organizations continuously improve the accuracy and relevance of their knowledge bases.

Overall, the presentation underscored Qlik’s commitment to making AI accessible and practical for business applications. By integrating both structured and unstructured data analysis into a unified platform, Qlik aims to empower users to make informed decisions quickly and effectively. The demo highlighted the ease of use, powerful capabilities, and the potential for significant business impact through the use of Qlik’s AI-driven tools.

Personnel: Kyle Jourdan