In this interview from Qlik Connect 2026, Christopher Powell, chief marketing officer of Qlik, joins theCUBE Research's Rebecca Knight and Rob Strechay to discuss how enterprises are moving past AI experimentation toward operational dependence — and what foundational work that shift demands. Powell argues the AI inflection point is less about whether the technology works and more about whether the data does. He outlines three prerequisites for enterprises ready to operationalize AI: a trusted data foundation, deep contextual understanding of proprietary environments and architectural flexibility to adapt as innovation accelerates. To address the trust dimension, Powell highlights Qlik's trust score for AI, which evaluates data lineage, provenance and access history to give AI systems confidence in the inputs they're acting on. The conversation also explores how leading organizations are building human expertise into agentic systems before removing humans from the loop — a model demonstrated on stage with UPS, where domain knowledge defines the boundaries of autonomous action. Powell breaks down the evolution from standalone AI tools to agents to fully agentic workflows, noting how this progression is dissolving organizational silos and forcing companies to build shared data foundations across marketing, sales and customer success. He underscores cost management as a strategic imperative, warning that AI environments built without embedded cost controls will fail to scale. From emerging efficiency stories — including customers spending a few hundred thousand dollars to save $15 million annually — to the broader organizational rethinking required to lead in the AI era, Powell outlines why companies that ask not how AI can improve existing processes, but how it will fundamentally transform them, are the ones best positioned to win. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Embracing the Future: Qlik Connect 2026, AI Integration, and Adaptive Data Strategies 02:48 - Operationalizing AI: Challenges and Solutions 05:44 - Building Trust in Data and AI 09:00 - AI's Impact on Marketing and Operations 14:06 - Redefining Business Strategy: The Transformative Power of AI #theCUBE #QlikConnect #theCUBEresearch #Qlik #AI #DataAnalytics #EnterpriseAI

In this interview from Qlik Connect 2026, Craig Brophy, head of global communications at Qlik, joins theCUBE's Rob Strechay to discuss how Qlik is making data tangible through immersive sports experiences that showcase the full power of its analytics platform. Brophy introduces the Qlik Sports Performance Zone — a hands-on environment featuring cycling, golf and hockey stations tied to real customers including the Pinarello-Q36.5 Pro Cycling Team, Topgolf and Malmö Redhawks. He explains how stationary bikes function as live IoT devices, generating data that flows through Qlik Talend Cloud, Qlik Open Lakehouse and Qlik Cloud Analytics and surfaces on a leaderboard dashboard within minutes of a ride. The goal, he notes, is to show customers firsthand how easy it is to move data from source to insight — and why that same capability maps directly to their own business environments. The conversation also explores Qlik's most compelling proof point: the Pinarello-Q36.5 Pro Cycling Team's rise against rivals operating at three times their budget. Brophy details how the team used Qlik to sharpen race strategy, optimize rider recruitment and improve overall performance — ultimately earning a spot at the Tour de France based on their 2025 season. He frames this as a blueprint for enterprise customers of any size, arguing that data is the great equalizer when capital and resources are constrained. From IoT-powered stationary bikes on a conference floor to a professional cycling squad bound for the Alps, the interview illustrates how Qlik's integrated platform gives enterprises the tools to operationalize data and compete above their weight class. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:01 - Exploring Innovation: Qlik Connect 2026 and Beyond 02:35 - Qlik: Journey of Innovation and Future Prospects #theCUBE #QlikConnect #theCUBEresearch #Qlik #DataAnalytics #EnterpriseAI

In this interview from Qlik Connect 2026 in Orlando, Kyle Jourdan, head of AI practice at Qlik, joins theCUBE Research's Rob Strechay to discuss how Qlik Answers and the Model Context Protocol are turning enterprise data into automated, real-time business decisions. Jourdan traces the evolution of Qlik Answers from a tool for extracting insights out of unstructured repositories to a full agentic experience bridging structured and unstructured data alike. He explains how two newly introduced agents, Predict and Automate, are now embedded in the Answers experience, moving organizations beyond dashboards and into automated action. Central to this evolution is explainability and trust: for every answer surfaced, Qlik traces the information to its source so users can verify accuracy before acting on it. The conversation also explores how MCP extends Qlik's reach beyond the out-of-the-box experience. For organizations that prefer specific foundation models or LLM clients, Jourdan details how Qlik's trusted data context can be routed through MCP servers into whatever AI client a team prefers — solving the hallucination problem that surfaced as enterprises scaled their early AI deployments. He also highlights the unique advantage of the Qlik Associative Engine, which surfaces relationships across disparate data sources that traditional SQL-based joins simply cannot capture. Looking ahead, Jourdan underscores the platform's ultimate ambition: insights without downstream action have no business value. From knowledge-based access through MCP to predictive modeling and closed-loop automation via the Automate platform, Qlik is building the full stack for enterprises to not just see their data — but close the last mile back to the business systems that drive decisions. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Exploring and Enhancing Qlik Answers: A Comprehensive Guide 03:09 - Integrating Intelligent Solutions: The Future of Qlik Connect and Trusted Data #theCUBE #QlikConnect #theCUBEresearch #Qlik #EnterpriseAI #DataAnalytics

In this interview from Qlik Connect 2026, Marcus Tannerfalk, head of product design at Qlik, joins theCUBE Research's Rob Strechay to discuss how AI is transforming the product design discipline and pushing analytics beyond the dashboard into an omnichannel future. Tannerfalk opens with a vivid real-world example: a professional hockey club using Qlik to run a Moneyball-style approach to squad optimization, analyzing players across multiple markets to maximize value within tight budget constraints. He then explains how AI is radically reshaping product design at Qlik — shifting the discipline from crafting native interfaces to enabling what he calls "omnichannel AI," where Qlik's capabilities surface wherever users already work, including inside tools like Claude through the Model Context Protocol (MCP). The conversation also explores how Qlik is building what Tannerfalk describes as a "context layer" — enriching existing data models and applications with metadata and structure so customers extract more value from the LLMs they already use. He outlines the philosophy of meeting users where they are, adapting Qlik's presence to whichever AI tools a team relies on rather than requiring navigation of a fixed interface. Looking ahead to Qlik Connect 2027, Tannerfalk previews an initiative to unify and simplify Qlik's native experiences, with an early prototype set to debut ahead of a planned main-stage reveal — a signal of how the platform intends to become a core component across an expanding range of AI-powered workflows and channels. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Revolutionizing Sports and Design: Qlik's Innovations in Analytics and AI 02:38 - Toward 2027: AI Integration and Future Experiences #theCUBE #QlikConnect #theCUBEresearch #Qlik #DataAnalytics #EnterpriseAI

In this interview from Qlik Connect 2026 in Orlando, Roberto Sigona, chief operating officer of Qlik, joins theCUBE's Rebecca Knight to discuss why the biggest obstacle to enterprise AI adoption is rarely the technology itself — and what it takes to move from data collection to real, measurable business impact. Speaking from Qlik's Sports Pavilion, where live dashboards track athlete performance in real time, Sigona argues that the harder challenge is process change and human habit. He notes that AI requires enterprises to fundamentally reinvent workflows, not simply accelerate existing ones, and that organizations stall when they try to move from zero to full scale overnight rather than delivering incremental value that builds momentum. The conversation also explores how Sigona approaches ROI measurement, emphasizing the need to define outcomes in terms of genuine business impact rather than metrics that are merely easy to capture. He highlights the evolution from data literacy to AI literacy — the critical-thinking skills needed to interrogate AI outputs, verify sources and resist blindly accepting what generative models produce. Sigona underscores that this principled skepticism is becoming non-negotiable as AI systems grow more autonomous and more opaque. Looking ahead, he predicts that next year's conversations will center on agent-to-agent interaction and the deepening question of what "human in the loop" actually means as autonomous systems accelerate. From the sensor-laden golf swing to the agentic enterprise, he outlines why steady, incremental progress — guided by people who understand what good looks like — remains the most reliable path through rapid technological change. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Navigating the Future: Data-Driven Strategies and Success in Sports and Technology 02:09 - The Value of Data Literacy 04:50 - Advancing Frontiers: Progress and Innovation in Business Technology #theCUBE #QlikConnect #theCUBEresearch #Qlik #AI #DataLiteracy

In this interview from Qlik Connect, James Fisher, chief strategy officer of Qlik, joins theCUBE Research's Rebecca Knight and Rob Strechay to discuss how enterprises are moving from blanket AI mandates to deliberate, data-driven decision intelligence. Fisher explains that the enterprise AI conversation has matured from top-down directives to a focused search for meaningful use cases grounded in quality data. He underscores that trusted, governed data isn't just a technical requirement — it's the catalyst that prompts individuals to act differently, take informed actions and drive genuine organizational transformation. The conversation explores how Qlik's platform supports users across the full analytics maturity spectrum — from PDF reports to agentic AI — rather than forcing a single consumption model on a diverse enterprise workforce. Fisher introduces the "go slower to go faster" principle, arguing that investing time in a governed data foundation delivers exponential long-term benefits for AI application performance and autonomous agent deployments alike. He also raises an urgent concern about the widening opportunity gap in data literacy, noting that democratizing access to AI tools must go hand in hand with democratizing the value those tools create. From helping cautious executives identify ROI in their existing Qlik applications to delivering new agentic capabilities for on-premise customers, Fisher outlines how organizations can build flexible, future-proof AI infrastructure without sacrificing governance or trust. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Navigating the Future: AI Architecture, Data Strategies, and Business Value in ClickConnect 2026 02:44 - Integrating AI for Cohesive Organizational Transformation 07:34 - Balancing Adaptability and Structure for AI-Driven Success 09:56 - Strategic Integration of AI: Balancing Caution with Flexibility 12:06 - Bridging Gaps: Data Literacy and Future Opportunities #theCUBE #QlikConnect #theCUBEresearch #Qlik #AI #DataGovernance

In this interview from Qlik Connect 2026, Drew Clarke, executive vice president of products and technology at Qlik Technologies Inc., joins Juan Hurtado, vice president of business intelligence and data analytics at Ingersoll Rand Inc. and executive advisory board member at Qlik, to talk with theCUBE Research's Rob Strechay about how enterprises are moving beyond dashboards to AI-powered decision automation. Clarke and Hurtado explore why 70-80% of enterprise AI efforts stall in data engineering rather than delivering business value — and how anchoring AI initiatives to existing data gravity, rather than starting from scratch, is the key to breaking that cycle. Hurtado describes Ingersoll Rand's "AI factory" framework, a composable architecture built on curated semantic layers and lakehouse principles that enables the company to prototype quickly and scale solutions across business units without accumulating technical debt. The conversation also explores how Ingersoll Rand manages a uniquely complex data environment — integrating about 70 ERPs while absorbing about one acquisition per month, each with its own metrics definitions, product hierarchies and reporting structures. Hurtado explains how Qlik's semantic layer standardizes that complexity, ensuring consistent definitions across geographies and business units. Clarke outlines Qlik's native support for Apache Iceberg tables as a foundation for multi-cloud interoperability, enabling enterprises to keep data where it lives without costly replication — what the pair dubs the "Goldilocks zone" of data architecture. From compressing the event-to-outcome loop for competitive advantage to empowering every data practitioner to operate as an AI expert, the discussion maps a clear path from fragmented analytics to enterprise-grade, AI-driven decision intelligence. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:07 - Navigating the Future: Integrating Data and AI for Enterprise Success at Qlik Connect 2026 04:02 - Transformative Strategies: From Data-Driven Insights to Automated Decision Excellence 07:19 - Multi-Cloud Data Management with Lakehouse Architecture 11:16 - Streamlining Governance and Integration for Unified Cloud Data Management 13:49 - Charting the Future: Empowering Visions and Expectations #theCUBE #QlikConnect #theCUBEresearch #Qlik #IngersollRand #AI #DataIntegration

In this interview from Qlik Connect 2026, Matthew Hayes, general manager of the Data Business Unit at Qlik, joins theCUBE Research's Rebecca Knight and Rob Strechay to discuss why data quality and governance have become the critical foundation for enterprise AI. Hayes describes a pattern emerging from his customer conversations: leadership is demanding AI velocity while practitioners are forced to pause and ask whether their data is genuinely AI-ready. He explains how the stakes have fundamentally shifted — data is no longer just operational infrastructure but a direct competitive differentiator drawing board-level scrutiny. Hayes makes the case that organizations taking time to assess their architecture before charging ahead are better positioned to build trusted agentic systems that won't make headlines for the wrong reasons. The conversation also explores Qlik's stance on vendor lock-in, with Hayes arguing that enterprises must never let contractual constraints dictate architecture decisions — data should remain theirs regardless of which platform manages it. He details Qlik's streaming support for Open Lakehouse, a capability customers are already using to ingest high-velocity IoT data at lower cost than traditional enterprise data warehouses. The discussion turns to the data product concept — Qlik has surpassed 3,000 customer-enabled data products — which Hayes compares to a perishable good: only valuable if it arrives on time, meets quality standards and carries the governance controls that define who can access it and when. From navigating a rising wave of data sovereignty regulation to building agentic workflows where humans set the guardrails and automation handles the rest, Hayes outlines why a unified platform strategy beats accumulating dozens of point AI tools. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Unlocking AI Success: Insights and Strategy from Qlik Connect 2026 03:15 - Strategic Governance: Navigating Vendor Lock-In Challenges in Data Management 05:34 - Navigating the Intersection of Data Regulation, Sovereignty, and Lineage in Business 08:24 - Navigating Cultural and Regulatory Landscapes in AI Training and Innovation 12:42 - Integrating AI: Balancing Automation, Human Oversight, and Platform Synergy #theCUBE #QlikConnect #theCUBEresearch #Qlik #DataGovernance #AI

In this interview from Qlik Connect 2026, Sam Pierson, chief technology officer of Qlik, joins theCUBE Research's Rob Strechay and Rebecca Knight to discuss how Qlik is helping enterprises close the gap between AI experimentation and production-scale decision intelligence. Pierson frames the core challenge directly: legacy systems numbering in the hundreds or thousands, migration fidelity requirements and persistent data quality issues are what separate AI pilots from production deployment. He also highlights a fundamental behavioral shift, noting that knowledge workers who once started their day in email and calendar apps are increasingly turning to AI assistants to summarize, schedule and surface information — freeing them from overhead work and redirecting attention toward decisions that actually move the business forward. The conversation also explores how Qlik is using MCP to democratize access to its analytical capabilities, scaling what a handful of power users can do to tens of thousands of employees across an organization. Pierson explains that Qlik's AI inherits its security model directly from the core platform, ensuring role-based access controls travel with every query regardless of which AI assistant surfaces the answer. He highlights the platform's semantic layer and metadata impact analysis, noting that responses now surface inline data quality scores and lineage context — equipping users to act on insights with confidence or flag potential issues before decisions are made. On the longevity of MCP itself, Pierson urges a modular, standards-based approach, pointing to Iceberg and the Open Semantic Interchange as architectural anchors that allow organizations to swap components safely as the landscape evolves. From data governance at scale to the rapid rise and fall of competing AI model providers, he argues that flexibility and an iterative mindset are the only durable strategies for enterprises navigating this environment. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Navigating the AI Landscape: Introduction, Challenges, and Transformations 03:38 - Enhancing Life and Governance Through Automation and Integration 08:15 - Metadata and Data Lineage Insights 10:24 - Navigating the Future: Standards, Flexibility, and Innovation in MCP #theCUBE #QlikConnect #theCUBEresearch #Qlik #AI #DataIntegration

In this interview from Qlik Connect 2026, Nick Magnuson, head of AI at Qlik, joins Michael Leone, vice president and principal analyst at Moor Insights & Strategy, to talk with theCUBE Research's Rob Strechay and Rebecca Knight about how enterprises are moving from dashboard-driven insights to AI-powered automated decisions. Magnuson outlines how the traditional model of building reports and acting on them manually is being overtaken by AI systems capable of detecting patterns, analyzing data at scale and taking action autonomously. Leone highlights that data quality challenges predate AI but are now amplified — and argues that AI's ability to find and act on the right data faster than humans will ultimately deliver more reliable decisions than organizations may expect. The conversation also explores how context has emerged as a foundational requirement for effective AI systems. Magnuson explains that context is not a static input but must evolve alongside the organization, giving AI systems the institutional knowledge needed to apply past decisions to future scenarios. Leone points to the resurgence of semantic layers and knowledge graphs as critical infrastructure for helping AI understand business relationships and deliver more defensible responses. On explainability, Leone notes that most organizations remain highly exposed — hesitant to accept headline risk from AI-driven decisions they cannot fully audit. Magnuson's prescription for managing that risk: start with contained, measurable use cases that build organizational confidence before tackling more complex deployments. From the critical role of human oversight in AI governance to the necessity of ecosystem partnerships in a landscape where no single company can do it all, the discussion provides a practical roadmap for enterprises ready to move beyond experimentation. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Bridging Insights: Welcoming AI's Impact on Analytics and Data Quality Challenges 03:13 - Optimizing Data Systems: Pressure Testing and AI Integration 06:44 - Human-Centric Approaches to Contextual AI Systems 09:28 - Explainability and Defensibility in AI Decisions 11:58 - Strategic Integration and Impact of Multimodal AI #theCUBE #QlikConnect #theCUBEresearch #Qlik #MoorInsights #AI #EnterpriseAI

In this interview from Qlik Connect 2026, Brian Hamel, chief revenue officer of Qlik, joins Sunil Varanasy, data and AI head for manufacturing, logistics, energy and utilities at Cognizant, to talk with theCUBE Research's Rebecca Knight about how trusted data and ecosystem collaboration are enabling enterprises to move from AI experimentation to operational outcomes. Hamel explains that the starting point for AI is universal: a solid data foundation built on governance, quality and trusted context. Varanasy, who has worked with Qlik for 15 years, underscores the urgency, noting that half the room goes silent when asked whether proper data stewardship is in place. Both highlight Qlik's rapid product evolution over the last few months — from analytics platform to agentic system, with discovery and automation agents now reshaping how enterprises act on data. The conversation also explores how the Qlik-Cognizant partnership is translating those principles into measurable results. Cognizant, named Qlik's Global System Integrator Innovation Partner of the Year, recently co-launched a data product as a service targeting predictive maintenance — a problem Varanasy notes roughly 80% of industrial clients have yet to solve. He details a shift from traditional SDLC to an accelerated delivery model: a prototype in one week, power users onboarded in four and production-ready in another four to six. Hamel frames this as a broader industry shift from reactive consulting to proactive co-creation, where partners arrive at client conversations with pre-validated solutions rather than open-ended problem statements. The discussion also covers workforce transformation, with Varanasy describing how Cognizant is re-skilling its 350,000-person organization — introducing roles such as value engineer, agent product manager and AI compliance lead — while both guests agree AI is augmenting human capacity rather than replacing it. From closing the gap between AI ambition and data readiness to building reusable solutions across industries, the two outline why trusted data and deep ecosystem partnerships are the indispensable foundation for scaling enterprise AI. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Welcoming Insights: Brian Hamel's Journey and the Foundations of AI and Data 02:26 - Advancing Analytics: The Journey and Partnership of Qlik 05:47 - Scaling AI: Overcoming Challenges and Implementing Best Practices in Organizations 07:49 - Collaborative Ecosystems: Real-Life Engagement in Technological Advancements 11:50 - AI and Workforce Transformation 14:08 - AI-Driven Customer Insights and Concluding Perspectives #theCUBE #QlikConnect #theCUBEresearch #Qlik #Cognizant #AI #DataAnalytics

In this interview from Qlik Connect 2026 in Orlando, Mike Capone, chief executive officer of Qlik Technologies, joins Ed Dunger, director of data and operations systems at HelloFresh, to talk with theCUBE Research's Rebecca Knight and Rob Strechay about how enterprises are moving from AI experimentation to measurable business outcomes. Capone describes a pivotal shift in enterprise conversations: AI has graduated from novelty to a CFO-level accountability question, with organizations demanding proof of value rather than proof of concept. Dunger illustrates what that looks like in practice, detailing how HelloFresh uses Qlik Predict to manage logistics exceptions — automatically identifying at-risk deliveries and triggering recovery workflows before customers are ever left waiting. The conversation also explores the trust-building process behind AI adoption, with Dunger noting that aligning business stakeholders around realistic expectations is the real unlock — AI doesn't need to be perfect to outperform the processes it replaces. Capone underscores context as Qlik's core superpower, pointing to the platform's ability to detect data quality drift and halt automated decisions when inputs fall below reliable thresholds. Both guests push back against the instinct to overengineer, citing Dunger's experience standing up a production-ready Qlik Predict model in a single day as proof that building on existing curated data beats rebuilding pipelines from scratch. From aligning operational stakeholders around quantifiable KPIs to forecasting a near-term future defined by P&L wins rather than buzzwords, the discussion offers a practical roadmap for enterprises ready to close the gap between AI ambition and business impact. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Driving Innovation with Qlik: Insights, Applications, and AI-Driven Value 02:50 - Fostering Trust and Evaluating Impact: Navigating Data and AI in the Workplace 05:52 - Importance of Having a Strategic Foundation 07:55 - Building Trustworthy AI: Governance, Context, and Scaling 10:44 - Building a Durable and Flexible AI Strategy 14:13 - Quick Wins and the Role of Quick Predict 16:22 - Navigating Success: Operational Stakeholders and the AI-Driven Future of Qlik Connect #theCUBE #QlikConnect #theCUBEresearch #Qlik #HelloFresh #AI #DataAnalytics

In this interview from Qlik Connect 2026, Julie Kae, vice president of sustainability and social impact and executive director of Qlik.org at Qlik, joins Ashleigh Chapman, founder and chief executive officer of Engage Together, to talk with theCUBE Research's Rebecca Knight and Rob Strechay about how data and analytics are being deployed to combat human trafficking. Chapman, a human rights lawyer with 25 years in the field, explains how hundreds of nonprofit efforts working in parallel but rarely in coordination prompted Engage Together's data-driven approach to mapping risk factors, service gaps and community resources across affected areas. Kae highlights how Qlik's platform, refined through 15 years of nonprofit partnerships, brings the same data integration and visualization strengths it delivers to enterprise customers to organizations working on the ground against exploitation. The conversation also explores how consolidated dashboards and reports are reshaping decision-making for non-technical stakeholders — legislators, task forces and local commissioners — giving them a comprehensive picture of where to direct resources. Chapman shares a compelling example from Florida, where data analysis revealed that trafficking risk originated in rural communities even as exploitation concentrated in urban areas, prompting a fundamental shift in resource allocation. Kae details how Qlik's nonprofit collaborations have directly influenced product development, citing work with the United Nations Department of Peacekeeping in the Democratic Republic of Congo that shaped the platform's offline mobile capabilities. Both guests point to Qlik's emerging AI features as a force multiplier, one that promises to accelerate the translation of raw data into community-level action. From pulling together sources ranging from informal field records to sophisticated agency systems to producing targeted reports that move legislators and nonprofits to act with precision, the discussion demonstrates how purpose-driven data partnerships can turn fragmented goodwill into measurable progress against one of the world's most persistent human rights challenges. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Empowering Change: Qlik's Mission Against Human Trafficking Through Data 02:57 - Empowering Change Through Data Visualization and Insight 06:48 - Empowering Nonprofits Through Collaborative Data Solutions 10:03 - Harnessing Technology and Data for Philanthropic Impact: A Synthesis #theCUBE #QlikConnect #theCUBEresearch #Qlik #EngageTogether #DataForGood

In this interview from Qlik Connect 2026, Natalie Rhoades, global senior director for advisory services at Qlik, joins Randy Mickey, senior vice president of global professional services at Qlik, to talk with theCUBE Research's Rebecca Knight and Rob Strechay about why most enterprise AI initiatives stall — and how anchoring them to clear business outcomes and agile delivery turns ambition into measurable impact. Rhoades and Mickey draw on decades of enterprise experience to explain why the most common failure point in AI adoption isn't funding or technology — it's the absence of cross-functional orchestration. Mickey underscores that agentic AI demands the same coordinated workflow across business units that ERP once required, while Rhoades details how Qlik's advisory practice leads every engagement by mapping customer objectives, pain points and measurable KPIs before recommending any technology — then delivers value in small, iterative increments. The conversation also explores the governance challenge that so often freezes AI momentum. Rather than treating governance as a blocker, Rhoades frames it as a strategic filter — helping organizations identify which use cases carry manageable risk so they can move quickly while steering clear of high-exposure regulatory territory. Mickey reinforces that modernization rarely requires scrapping existing investments: one long-tenured Qlik customer with over 40,000 dashboards was able to layer Qlik Answers on top of its existing trusted, governed data assets and unlock agentic capabilities without starting from scratch. The discussion also addresses the workforce dimension, with both guests emphasizing that change management and upskilling are as critical as any technical decision. From replacing waterfall planning with an agentic delivery lifecycle to securing executive sponsorship that sustains momentum through scale, Rhoades and Mickey outline why the organizations succeeding with AI are those that build deliberately — one verified win at a time. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Intro 00:06 - Insights and Perspectives: A Comprehensive Guide to Qlik Connect 2026 02:16 - Integrating Agile Methodologies and Strategic Planning for Successful Technology Implementation 05:35 - Evolving Paradigms: Redefining Consultancy in the Age of AI 08:53 - Driving Success: Leveraging Small Wins and Strategic Partnerships 13:03 - Integrating Governance, Innovation, and AI for Effective Data Management #theCUBE #QlikConnect #theCUBEresearch #Qlik #EnterpriseAI #DataAnalytics