Close Menu

    Subscribe to Updates

    Get the latest creative news from FooBar about art, design and business.

    What's Hot

    SpaceX Targets 170 Orbital Launches in 2025, Aims to Set New Industry Benchmark

    May 31, 2025

    Microsoft Reportedly Pauses Xbox Handheld Plans to Refocus on Windows 11 for Portable Gaming

    May 31, 2025

    Perplexity Labs Launches, Automating Spreadsheets, Reports, and Web App Creation

    May 31, 2025
    Facebook X (Twitter) Instagram Pinterest
    EchoCraft AIEchoCraft AI
    • Home
    • AI
    • Apps
    • Smart Phone
    • Computers
    • Gadgets
    • Live Updates
    • About Us
      • About Us
      • Privacy Policy
      • Terms & Conditions
    • Contact Us
    EchoCraft AIEchoCraft AI
    Home»AI»Qlik GenAI and New Tools For Bright Future
    AI

    Qlik GenAI and New Tools For Bright Future

    sanojBy sanojJune 5, 2024Updated:June 5, 2024No Comments9 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email

    Qlik’s new data integration capabilities and an AI-powered assistant at its annual user conference, Qlik Connect 2024, in Orlando.

    These innovations, including the Qlik Talend Cloud and Qlik Answers, are designed to help businesses develop AI applications with data that can be trusted for critical decision-making.

    Scheduled for general availability by the summer, these Qlik GenAI Assistant aim to enhance data quality and provide actionable insights through advanced generative AI capabilities.

    Qlik GenAI

    Qlik Talend Cloud is a data integration suite that combines the strengths of Qlik’s pre-existing data integration capabilities with those acquired from Talend in 2023.

    This suite aims to ensure high-quality data for accurate AI model training and business decision-making.

    Key features include a data marketplace that facilitates the discovery and curation of quality datasets and data products using natural language search.

    Data engineering tools offering both no-code and pro-code options and a trust score for AI models that provides an assessment of the underlying data quality, enhancing the reliability of AI-generated insights.

    Qlik Answers is a generative AI assistant designed to help users interact with their data through natural language. This tool simplifies data querying and analysis, making it accessible to non-technical users.

    It enables users to ask questions in plain language and receive relevant insights, reducing the need for coding skills.

    Qlik Answers also provides detailed explanations of how each response is generated, allowing users to verify the accuracy and reliability of the insights.

    It incorporates robust security and governance measures to ensure safe data exploration and compliance with organizational policies.

    Their new partnership with AWS is a strategic move aimed at enhancing AI capabilities for joint customers. This collaboration offers several benefits, including access to Amazon Bedrock, which allows users to leverage a wide range of foundation models through a single API, simplifying AI development.

    It also provides secure and responsible AI development tools, facilitating the creation of robust AI models and applications, and ensures compliance across AWS regions, enabling Qlik users to expand their operations globally with confidence.

    AI development focuses on trusted data and flexibility, setting it apart from larger competitors like Salesforce, Google, and Microsoft, which have made more aggressive investments.

    According to Donald Farmer, founder and principal of TreeHive Strategy, Qlik’s moves have been tactical but well-aligned with the needs of its existing customers.

    Qlik GenAI and New Tools For Bright Future

    Qlik Talend Cloud addresses the critical need for high-quality data in AI model training and business decision-making.

    By ensuring data accuracy and reliability, it helps organizations make better-informed decisions and avoid the pitfalls of poor-quality data.

    Qlik Answers empowers self-service users by enabling natural language interactions with data. Its focus on explainability helps users understand how insights are generated, fostering trust and confidence in the AI-generated responses.

    This feature is particularly important for executives and decision-makers wary of potential inaccuracies in AI outputs.

    They plans to integrate its structured and unstructured data capabilities into a unified solution. This ambitious goal aims to provide users with a comprehensive analytics platform that combines all types of data in one location.

    Strategic Collaborations

    Qlik’s new partnership with AWS is a strategic move aimed at enhancing AI capabilities for joint customers. This collaboration offers several benefits, including access to Amazon Bedrock, which allows users to leverage a wide range of foundation models through a single API, simplifying AI development.

    It also provides secure and responsible AI development tools, facilitating the creation of robust AI models and applications, and ensures compliance across AWS regions, enabling Qlik users to expand their operations globally with confidence.

    Their approach to AI development focuses on trusted data and flexibility, setting it apart from larger competitors like Salesforce, Google, and Microsoft, which have made more aggressive investments.

    According to Donald Farmer, founder and principal of TreeHive Strategy, Qlik’s moves have been tactical but well-aligned with the needs of its existing customers. By prioritizing data trust and integration, Qlik is providing valuable capabilities that resonate with its user base.

    While Qlik may have fewer data and AI infrastructure capabilities compared to tech giants like AWS, Google, and Microsoft, its strategic focus on data quality and integration ensures that it delivers reliable and trustworthy AI solutions.

    This focus on trusted data is critical for businesses aiming to make accurate and informed decisions using AI-generated insights.

    Farmer notes that Qlik’s support for AI has been well attuned to the needs of its existing customers, emphasizing the integration of the Qlik stack with AI platforms they may be exploring.

    Qlik Talend Cloud addresses the critical need for high-quality data in AI model training and business decision-making. By ensuring data accuracy and reliability, it helps organizations make better-informed decisions and avoid the pitfalls of poor-quality data.

    The inclusion of a data marketplace, data engineering tools with both no-code and pro-code options and a trust score for AI models all contribute to creating a reliable and efficient data integration platform.

    Qlik Answers empowers self-service users by enabling natural language interactions with data. Its focus on explainability helps users understand how insights are generated, fostering trust and confidence in the AI-generated responses.

    This feature is particularly important for executives and decision-makers wary of potential inaccuracies in AI outputs.

    Industry Impact

    Qlik Talend Cloud is designed to address the critical need for high-quality data in AI model training and business decision-making.

    By ensuring data accuracy and reliability, it helps organizations make better-informed decisions and avoid the pitfalls of poor-quality data.

    The inclusion of a data marketplace, data engineering tools with both no-code and pro-code options and a trust score for AI models all contribute to creating a reliable and efficient data integration platform.

    These features ensure that the data used to train AI models is high quality and comprehensive, minimizing the risk of inaccurate or misleading insights.

    Qlik Answers empowers self-service users by enabling natural language interactions with data. This tool significantly reduces the complexity of data querying and analysis, making it accessible to non-technical users.

    By allowing users to ask questions in plain language and receive relevant insights, Qlik Answers reduces the need for coding skills and extensive data literacy training.

    The tool’s focus on explainability is particularly important for fostering trust and confidence in AI-generated responses.

    By providing detailed explanations of how each response is generated, users can verify the accuracy and reliability of the insights, which is crucial for executives and decision-makers wary of potential inaccuracies in AI outputs.

    The ability to handle unstructured data, such as text, images, and audio files, sets Qlik Answers apart from traditional BI tools that primarily focus on structured data.

    This capability allows organizations to leverage a massively untapped pool of data, providing a more comprehensive view of their operations and enabling better-informed decision-making.

    By incorporating unstructured data into their analytics processes, organizations can gain insights that were previously inaccessible, leading to more innovative and effective business strategies.

    Qlik’s focus on trusted data and flexible development tools ensures that the AI models and applications built using its platform are reliable and secure.

    Qlik GenAI and New Tools For Bright Future
    Credits Qlik’s

    The trust score for AI models, based on an assessment of the underlying data quality, helps organizations ensure that the AI-generated insights are accurate and dependable.

    This focus on data trust and quality is essential for organizations aiming to make critical business decisions based on AI-generated insights.

    By enabling natural language interactions with data and ensuring the reliability of AI-generated insights, Qlik is helping to democratize data access and analysis.

    This democratization allows a broader range of users within an organization to leverage data for decision-making, driving more widespread adoption of AI and analytics tools.

    The result is a more data-driven culture within organizations, leading to improved business outcomes and a competitive edge in the market.

    Qlik’s partnership with AWS further enhances the platform’s capabilities by providing access to advanced AI development tools and foundation models.

    This collaboration ensures that Qlik users can leverage the latest advancements in AI technology to build robust and innovative AI applications.

    The integration with AWS’s cloud and generative AI capabilities also provides scalability and flexibility, allowing organizations to expand their AI initiatives and operations with confidence.

    Qlik’s strategic focus on trusted data and user-friendly AI tools positions it well to meet the evolving needs of its customers and drive the future of enterprise AI development.

    What to Expect?

    By bridging the gap between structured and unstructured data, Qlik aims to deliver the “holy grail of analytics,” allowing users to derive richer, more nuanced insights from their data.

    In addition to this integration, Qlik plans to continue enhancing its AI capabilities to support edge computing and cater to developers.

    Edge computing, which involves processing data closer to its source rather than in a centralized data center, can offer significant benefits in terms of speed, efficiency, and real-time data analysis.

    By enabling decentralized computing, Qlik aims to provide organizations with the tools they need to process and analyze data at the edge, unlocking new opportunities for innovation and efficiency.

    Developers are another key focus for Qlik’s future plans. Historically, Qlik has not heavily targeted the developer community, but this is set to change.

    By providing more capabilities and tools tailored to developers, Qlik aims to foster a vibrant ecosystem where developers can easily build, test, and deploy AI models and applications.

    Qlik GenAI and New Tools For Bright Future

    This move is crucial for expanding the use of AI in enterprises, as developers play a key role in creating custom solutions that address specific business needs.

    This involves not only enhancing the technical capabilities of the platform but also ensuring robust governance and compliance frameworks to protect data and ensure its ethical use.

    As AI becomes more integral to business operations, having secure and responsible AI development practices will be essential for maintaining trust and avoiding potential pitfalls.

    Qlik Qlik Answers Qlik GenAI Qlik Talend Cloud
    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleProject G-Assist : Innovative AI Assistant
    Next Article TickLab Finance with AI :The New Innovation
    sanoj
    • Website

    Related Posts

    AI

    Perplexity Labs Launches, Automating Spreadsheets, Reports, and Web App Creation

    May 31, 2025
    AI

    Hugging Face Introduces Two Open-Source Humanoid Robots to Expand Access to Robotics

    May 31, 2025
    AI

    Tencent Releases HunyuanPortrait: Open-Source AI Model for Animating Still Portraits

    May 29, 2025
    Add A Comment
    Leave A Reply Cancel Reply

    Search
    Top Posts

    Samsung Galaxy S25 Rumours of A New Face in 2025

    March 19, 2024371 Views

    CapCut Ends Free Cloud Storage, Introduces Paid Plans Starting August 5

    July 12, 2024145 Views

    Windows 12 Revealed A new impressive Future Ahead

    February 29, 2024126 Views
    Categories
    • AI
    • Apps
    • Computers
    • Gadgets
    • Gaming
    • Innovations
    • Live Updates
    • Science
    • Smart Phone
    • Social Media
    • Tech News
    • Uncategorized
    Latest in AI
    AI

    Perplexity Labs Launches, Automating Spreadsheets, Reports, and Web App Creation

    EchoCraft AIMay 31, 2025
    AI

    Hugging Face Introduces Two Open-Source Humanoid Robots to Expand Access to Robotics

    EchoCraft AIMay 31, 2025
    AI

    Tencent Releases HunyuanPortrait: Open-Source AI Model for Animating Still Portraits

    EchoCraft AIMay 29, 2025
    AI

    DeepSeek Releases Updated R1 AI Model on Hugging Face Under MIT License

    EchoCraft AIMay 29, 2025
    AI

    OpenAI Explores “Sign in with ChatGPT” Feature to Broaden Ecosystem Integration

    EchoCraft AIMay 28, 2025

    Subscribe to Updates

    Get the latest tech news from FooBar about tech, design and biz.

    Stay In Touch
    • Facebook
    • YouTube
    • Twitter
    • Instagram
    • Pinterest
    Tags
    2024 Adobe AI AI agents AI Model Amazon android Anthropic apple Apple Intelligence Apps ChatGPT Claude AI Copilot Elon Musk Galaxy S25 Gaming Gemini Generative Ai Google Google I/O 2025 Grok AI India Innovation Instagram IOS iphone Meta Meta AI Microsoft NVIDIA Open-Source AI OpenAI Open Ai PC Reasoning Model Samsung Smart phones Smartphones Social Media TikTok U.S whatsapp xAI Xiaomi
    Most Popular

    Samsung Galaxy S25 Rumours of A New Face in 2025

    March 19, 2024371 Views

    Apple A18 Pro Impressive Leap in Performance

    April 16, 202465 Views

    Google’s Tensor G4 Chipset: What to Expect?

    May 11, 202449 Views
    Our Picks

    Apple Previews Major Accessibility Upgrades, Explores Brain-Computer Interface Integration

    May 13, 2025

    Apple Advances Custom Chip Development for Smart Glasses, Macs, and AI Systems

    May 9, 2025

    Cloud Veterans Launch ConfigHub to Address Configuration Challenges

    March 26, 2025

    Subscribe to Updates

    Get the latest creative news from FooBar about art, design and business.

    Facebook X (Twitter) Instagram Pinterest
    • Home
    • Contact Us
    • Privacy Policy
    • Terms & Conditions
    • About Us
    © 2025 EchoCraft AI. All Right Reserved

    Type above and press Enter to search. Press Esc to cancel.

    Manage Consent
    To provide the best experiences, we use technologies like cookies to store and/or access device information. Consenting to these technologies will allow us to process data such as browsing behavior or unique IDs on this site. Not consenting or withdrawing consent, may adversely affect certain features and functions.
    Functional Always active
    The technical storage or access is strictly necessary for the legitimate purpose of enabling the use of a specific service explicitly requested by the subscriber or user, or for the sole purpose of carrying out the transmission of a communication over an electronic communications network.
    Preferences
    The technical storage or access is necessary for the legitimate purpose of storing preferences that are not requested by the subscriber or user.
    Statistics
    The technical storage or access that is used exclusively for statistical purposes. The technical storage or access that is used exclusively for anonymous statistical purposes. Without a subpoena, voluntary compliance on the part of your Internet Service Provider, or additional records from a third party, information stored or retrieved for this purpose alone cannot usually be used to identify you.
    Marketing
    The technical storage or access is required to create user profiles to send advertising, or to track the user on a website or across several websites for similar marketing purposes.
    Manage options Manage services Manage {vendor_count} vendors Read more about these purposes
    View preferences
    {title} {title} {title}