|
By Sam Pierson
Over the past year, nearly every data and analytics vendor has made the same argument: AI agents need business context. Give a model enterprise data without telling it how the business defines revenue, margin, or an active customer, and it will give confident answers to the wrong questions. I agree. But definitions alone are not enough.
|
By Clive Bearman
Every few years, a mature technology finds an unexpected use that breathes new life into the data profession. Change data capture did it for data delivery, and cloud data warehouses did it for business analytics. You may think I’m going to wax lyrical about generative AI, but I’m actually thinking of a markup language that's “having a moment” thanks to generative AI.
|
By Brendan Grady
With Claude Dashboards entering beta, Anthropic is making it possible for people to ask quick, exploratory questions about their business data and get a dashboard back. You don't need to write SQL or build a visualization. I think that's a good thing. We've spent years trying to make analytics more accessible, and anything that shortens the path from question to answer is progress. I'm increasingly asked what the future of business intelligence looks like when AI can do more of the analysis for us.
There's a conversation happening in a lot of data teams right now. It goes something like this: the lakehouse is clearly where things are heading, Apache Iceberg is becoming the format everyone wants to land in, and the AI use cases the business is asking for need clean, open, queryable data.
|
By Brendan Grady
One message coming out of Dreamforce caught my attention: context is moving to the center of the enterprise AI conversation. Good. We’ve been arguing for a while that context is what turns AI from an impressive interface into something genuinely useful for the enterprise. Salesforce’s AIforce approach is about bringing its data, workflows, business logic, semantics, permissions, security, and governance into the places people increasingly want to work, including Claude and Slack.
|
By Qlik
Every data platform decision has a default setting, and the default is wait. Not because leaders think the current stack is great. Because “we’ll modernize next year” feels responsible. It sounds like discipline. It reads like you’re protecting the budget. Here’s the part that never makes it into that conversation: waiting is not the free option. It’s a spending decision, and it renews every month whether or not anyone signs off on it.
|
By Luciane Ellis
Two questions stall almost every agentic AI rollout: Is it secure? And what is this going to cost us? Both get harder to answer the longer you wait to ask them, and easier to answer than most teams assume. If you've already invested in a robust data analytics platform like Qlik, you're closer to a secure, governed, and cost-effective agentic AI deployment than the market's “rip and replace” narrative suggests.
|
By Pedro Fillastre
Until 2025, fitting a new table meant fitting a new model: engineer features, tune XGBoost, validate, repeat. Every CSV was a fresh problem, although tables share a great deal of structure. Tabular foundation models (TFMs) change the unit of work.
|
By Matt Hayes
Qlik has been named a Leader in the IDC MarketScape: Worldwide Data Intelligence Platform Software 2026 Vendor Assessment. I'll say the obvious part first: we're proud of this. Independent recognition matters, and this one reflects work happening across every team at Qlik. But analyst recognition on its own doesn't help you run your data estate.
|
By Pedro Fillastre
Tabular Foundation Models (TFMs) move tabular prediction from task-specific Gradient Boosted Decision Trees (GBDTs), such as XGBoost and CatBoost, toward “table-native” models built on In-Context Learning (ICL). The training data becomes a contextual prompt, and the model produces zero-shot predictions in a single forward pass without parameter updates.
|
By Qlik
Agentic Data Stewardship keeps a human in charge while agents do the legwork. Agents use data profiling results and validation rules to proactively identify data quality issues and recommend fixes, and your data stewards can decide which fixes to approve or refine each action before they are applied. The result is higher stewardship productivity, more accurate data, and a shorter proactive path from raw data to something people can trust and use, while meeting governance.
|
By Qlik
Developer flexibility. The Modern Script Editor and a new VS Code extension bring Qlik development into the tools your developers already use. Modern Script Editor available in Public Preview now, and general availability coming soon in Q4, 2026. VS Code extension coming soon in Q4, 2026.
|
By Qlik
Learn more about the Qlik October Product Recap: https://www.qlik.com/us/product-releases/2026/october
|
By Qlik
Qlik Cloud just introduced a modern, IDE-grade editing experience for the Data Load Editor and Script Editor — now available in Public Preview. In this video, Michael Tarallo walks through what's new, including dark mode, improved syntax highlighting, code folding, smarter navigation, autocomplete, and code refactoring with Rename Symbol. Learn how to activate the Next-Gen Script Editor in your tenant and see how these updates make everyday Qlik scripting faster and more intuitive.
|
By Qlik
This is Part 1 of a two-part video series exploring how Qlik MCP tools can be used with declarative pipelines directly within VS Code. In this video, I demonstrate how to use the MCP tools to explore and validate your Qlik environment before building anything—identifying available connections, inspecting source tables, reviewing pipeline project information, and verifying the resources you plan to use.
|
By Qlik
This is Part 2 of a two-part video series exploring how Qlik MCP tools can be used with declarative pipelines directly within VS Code. In this video, Mike Tarallo, demonstrates how to now create the data pipeline using declarative YAML in VS Code. You will see the creation process, learn some tips and tricks and see the final result.
|
By Qlik
AI Optimization is a workspace for managing how Qlik Answers understands an application. It brings semantic management into one experience, where you can review AI-generated semantic understanding and make corrections before they reach an answer. The result is a visible, correctable layer where there used to be none. AI Optimization is the central place to manage how Qlik Answers interprets your application. Semantic Understanding, inside it, shows and lets you edit this interpretation of each field and master item.
|
By Qlik
Qlik's MCP server just got three new lookup tools built for data engineering. They connect directly to your Qlik Cloud tenant, so coding agents can pull the real project values a pipeline needs instead of working from an empty template, find spaces and data connections by name, and browse the tables and views available on a connection, just by asking in natural language. That means easier declarative pipeline creation, with real tenant context built right into your prompt for faster, more accurate iteration.
|
By Qlik
Get a quick look at Declarative Pipelines in Qlik Talend Cloud in just 4 minutes. In this video, Mike Tarallo from Qlik shows how you can go from intent to a working data pipeline using a declarative, code-driven approach, leveraging Claude Code, VS Code and Qlik Talend Cloud to generate the YAML and supporting files needed to define your pipeline.
|
By Qlik
You have access to more data than ever before. Are you truly using it to your advantage? And where are you most likely to get results when you do? Businesses around the world are using data to transform every aspect of operations - but some use cases are more powerful, and more profitable, than others.
|
By Qlik
Collecting "big data" was once big news. But companies are realizing that big data projects aren't delivering their expected ROI because building a repository is just part of the equation. Read this eBook to see how Qlik helps organizations like biopharmaceutical company Shire plc, Texas Children's Hospital, online gaming developer King.com, and more gain big insights from big data-for big impact.
|
By Qlik
Businesses everywhere understand a basic truth in today's economy: No enterprise can lead - or even survive - without analytics. But not all analytics platforms are created equal. Choosing the right one is essential to making discoveries that have the power to drive real change. But too often the evaluation is based on narrowly-focused criteria around just features and functions, limiting the impact analytics can bring to your organization.
|
By Qlik
Data has always held tremendous value. But for decades, most of that value has been left on the table. Complexity, technical limits, bottlenecks, and skill gaps have kept insights hidden and analytics out of the hands of business users. With the 3rd generation of BI, that's about to change.
|
By Qlik
Qlik Core is a new product offering for developers wanting to create and deploy analytic data-driven cloud applications at scale. Qlik Core is a developer's platform for building, deploying, extending data driven analytical applications at massive scale within any environment resulting in better user adoption, engagement and customer satisfaction.
|
By Qlik
Data-driven retailers are using visual analytics to address the 3 major shifts surrounding omni-channel retail. Three major shifts have shaken the very foundations of retail: Consumers are empowered and more demanding; supply chains must accommodate omni-channel shopping and services; and the role of stores goes far beyond converting show-roomers.
|
By Qlik
There continues to be an incredible amount of interest in the topic of Big Data. It has transcended from a trend to being simply part of the current IT lexicon. For some organizations, its use has already become an operational reality; providing unprecedented ability to store and analyze large volumes of disparate data that are critical to the organization's competitive success.
|
By Qlik
Every action a healthcare provider, payer, administrator, or patient takes creates new data. The challenge in healthcare is no longer finding data - but making it usable and actionable. This requires knowing what to do with the data you have, and understanding the relationships that exist within it.
|
By Qlik
Whether you are a product manager looking to get to market fast with powerful and intuitive visual analytics for your customers or a business owner looking to differentiate your solution to gain a competitive advantage we hope you will find this paper useful.
|
By Qlik
Join Qlik's Global Market Intelligence lead and former Gartner analyst Dan Sommer to learn why 2018 is the year for the "de-silofication" of data.
- October 2026 (8)
- September 2026 (9)
- August 2026 (10)
- July 2026 (12)
- June 2026 (3)
- May 2026 (6)
- April 2026 (10)
- March 2026 (5)
- February 2026 (16)
- January 2026 (10)
- December 2025 (11)
- November 2025 (13)
- October 2025 (14)
- September 2025 (10)
- August 2025 (6)
- July 2025 (16)
- June 2025 (9)
- May 2025 (10)
- April 2025 (14)
- March 2025 (10)
- February 2025 (6)
- January 2025 (12)
- December 2024 (5)
- October 2024 (2)
- September 2024 (11)
- August 2024 (6)
- July 2024 (11)
- June 2024 (10)
- May 2024 (8)
- April 2024 (5)
- March 2024 (9)
- February 2024 (10)
- January 2024 (10)
- December 2023 (9)
- November 2023 (12)
- October 2023 (4)
- September 2023 (11)
- August 2023 (8)
- July 2023 (10)
- June 2023 (12)
- May 2023 (16)
- April 2023 (8)
- March 2023 (6)
- February 2023 (8)
- January 2023 (8)
- December 2022 (13)
- November 2022 (15)
- October 2022 (5)
- September 2022 (8)
- August 2022 (12)
- July 2022 (8)
- June 2022 (8)
- May 2022 (11)
- April 2022 (13)
- March 2022 (15)
- February 2022 (9)
- January 2022 (11)
- December 2021 (21)
- November 2021 (14)
- October 2021 (15)
- September 2021 (11)
- August 2021 (9)
- July 2021 (6)
- June 2021 (8)
- May 2021 (11)
- April 2021 (5)
- March 2021 (12)
- February 2021 (11)
- January 2021 (6)
- December 2020 (12)
- November 2020 (8)
- October 2020 (12)
- September 2020 (13)
- August 2020 (9)
- July 2020 (6)
- June 2020 (8)
- May 2020 (8)
- April 2020 (10)
- March 2020 (3)
- February 2020 (7)
- January 2020 (2)
- December 2019 (1)
- November 2019 (8)
- October 2019 (4)
- September 2019 (2)
- August 2019 (4)
- July 2019 (5)
- June 2019 (5)
- May 2019 (5)
- April 2019 (11)
- March 2019 (5)
- February 2019 (12)
- January 2019 (9)
- December 2018 (4)
- November 2018 (8)
- October 2018 (13)
- September 2018 (6)
- August 2018 (8)
- July 2018 (8)
- June 2018 (8)
- May 2018 (4)
- April 2018 (3)
Qlik® delivers intuitive platform solutions for self-service data visualization, guided analytics applications, embedded analytics and reporting to approximately 48,000 customers worldwide. Companies of all sizes, across all industries and geographies, use Qlik solutions to visualize and explore information, generate insight and make better decisions.
QlikView is a proven, market-leading data discovery product that offers rapidly developed, highly interactive guided analytics applications and dashboards, purpose built for business challenges. QlikView allows users to rapidly build and deploy analytic apps without the need for professional development skills, driving faster response to changing business requirements, shorter time to value, and more insight across the organization.
Qlik Sense gives you data superpowers. Easily combine all your data sources, no matter how large, into a single view. Qlik’s Associative engine indexes every possible relationship in your data so you can gain immediate insights and explore in any direction your intuition takes you. Unlike query-based tools, there’s no pre-aggregated data and predefined queries to hold you back. That means you can ask new questions and create analytics without having to build new queries or wait for the experts.