Latest news with #MikeCapone
Tahawul Tech
20-05-2025
- Business
- Tahawul Tech
Qlik launches new Open Lakehouse
Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence, recently announced the launch of Qlik Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud. Designed for enterprises under pressure to scale faster and spend less, Qlik Open Lakehouse delivers real-time ingestion, automated optimisation, and multi-engine interoperability — without vendor lock-in or operational overhead. This marks a major step forward in the evolution of modern data architectures. As organisations accelerate AI adoption, the cost and rigidity of traditional data warehouses have become unsustainable. Qlik Open Lakehouse offers a new path: a fully managed lakehouse architecture powered by Apache Iceberg that delivers 2.5x–5x faster query performance and up to 50% lower infrastructure costs, while maintaining full compatibility with the most widely used analytics and machine learning engines. 'Performance and cost should no longer be a tradeoff in modern data architectures', said Mike Capone, CEO of Qlik. 'With Qlik Open Lakehouse, enterprises gain real-time scale, full control over their data, and the freedom to choose the tools that work best for them. We built this to meet the demands of AI and analytics at enterprise scale — without compromise'. Qlik Open Lakehouse is built from the ground up to meet the scale, flexibility, and performance demands of modern enterprises — without the tradeoffs. It combines real-time ingestion, intelligent optimisation, and true ecosystem interoperability in a single, fully managed platform. Real-time ingestion at enterprise scale: Ingest millions of records per second from hundreds of sources — including cloud apps, SaaS, SAP, and mainframes — directly into Iceberg tables with low latency and high throughput. Ingest millions of records per second from hundreds of sources — including cloud apps, SaaS, SAP, and mainframes — directly into Iceberg tables with low latency and high throughput. Intelligent Iceberg optimisation, fully automated: Qlik's always-on adaptive Iceberg optimiser handles compaction, clustering, and pruning automatically, delivering up to 5x faster queries and 50% lower storage costs — no tuning required. Qlik's always-on adaptive Iceberg optimiser handles compaction, clustering, and pruning automatically, delivering up to 5x faster queries and 50% lower storage costs — no tuning required. Open by design, interoperable by default: Access data in Iceberg tables using a variety of Iceberg-compatible engines, including Snowflake, Amazon Athena, Apache Spark, Trino, and SageMaker — without re-platforming or reprocessing. Access data in Iceberg tables using a variety of Iceberg-compatible engines, including Snowflake, Amazon Athena, Apache Spark, Trino, and SageMaker — without re-platforming or reprocessing. Your compute, your cloud, your rules: Runs natively in your AWS VPC with Bring Your Own Compute (BYOC), giving you full control over performance, security, and cost. Runs natively in your AWS VPC with Bring Your Own Compute (BYOC), giving you full control over performance, security, and cost. One platform, end to end: From ingestion and transformation to governance, data quality, and FinOps visibility, Qlik provides a unified lakehouse experience — no patchwork, no handoffs. 'Enterprises are increasingly adopting lakehouse architectures to unify data across on-premises and cloud environments', said Matt Aslett, Director of Research, Analytics and Data at ISG Software Research. 'Qlik Open Lakehouse, which leverages open standards such as Apache Iceberg, is well-positioned to meet the growing demand for real-time data access and multi-engine interoperability, enabling enterprises to harness the full potential of their data for AI and analytics initiatives'. As AI workloads demand faster access to broader, fresher datasets, open formats like Apache Iceberg are becoming the new foundation. Qlik Open Lakehouse responds to this shift by making it effortless to build and manage Iceberg-based architectures — without the need for custom code or pipeline babysitting. It also runs within the customer's own AWS environment, ensuring data privacy, cost control, and full operational visibility. 'Qlik Open Lakehouse initiative is a significant development we're keenly watching', shared David Navarro, Data Domain Architect at Toyota Motor Europe. 'Large corporations like ours urgently need interoperability between diverse business units and partners, each managing its own technology stack and data sovereignty. Apache Iceberg is emerging as the key to zero-copy data sharing across vendor-independent lakehouses, and Qlik's commitment to delivering performance and control in these complex, dynamic landscapes is precisely what the industry requires'. Qlik Open Lakehouse is available now in private preview and is scheduled to be generally available in July 2025. Private preview is limited — early access is encouraged for teams looking to modernise ahead of GA. To learn more and request early access, visit our website or connect with us at Qlik Connect, May 14–17 in Orlando. Image Credit: Qlik
Business Wire
15-05-2025
- Business
- Business Wire
Qlik Honors 2025 Global Transformation Award Winners for Advancing AI and Data Innovation
ORLANDO, Fla.--(BUSINESS WIRE)-- Qlik ®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced the winners of the 2025 Global Transformation Awards at the annual Qlik Connect ® event in Orlando. The prestigious awards celebrate organizations from around the world that demonstrate outstanding use of Qlik solutions to achieve groundbreaking innovation, operational excellence, and significant societal benefits. 'Each of these winners shows what real transformation looks like—not just planning for the future, but executing in the present,' said Mike Capone, CEO of Qlik. 'In a world where AI strategies are easy to declare but hard to deliver, they've moved beyond intention to impact. Their success reflects exactly what Qlik is built for: turning complex data into confident decisions, fast.' 2025 Qlik Global Transformation Award Winners: Integration Excellence Award: Truist – Projected significant savings by migrating workloads to Snowflake through Qlik Talend Cloud, streamlining legacy ETL processes. Data Mastery Award: JBS Pilgrim's – Achieved an 82% time saving in supply chain planning through standardized, timely analytics, enhancing efficiency across over 1,500 farms and production facilities. AI Innovation Award: Volkswagen Financial Services – Created DocuGen, an innovative solution that automates technical app documentation, achieving a 42x efficiency gain. Increased user onboarding speed by 15x and boosted app maintenance efficiency by 40% leveraging Qlik Automate™ and Qlik Cloud Analytics ®. Global Impact Award: Foodbank Victoria – Reduced food spending by 15% per kilogram through strategic resource allocation informed by faster insights, enabling delivery of over 25 million meals annually. Data Quality & Trust Award: Lenovo – Optimized operations for 75,000 external business partners through Qlik's data governance solutions, significantly reducing costs and improving partner efficiency. Analytics Leadership Award: BT Group – Accelerated strategic decision-making by drastically reducing report generation from days to seconds, supporting over 2,000 daily analytics sessions. 'What sets these organizations apart isn't just what they achieved—it's how they did it. They brought bold goals, asked tough questions, and leaned into partnership,' said Roberto Sigona, Chief Operating Officer at Qlik. 'We're proud to have worked alongside them to turn complexity into clarity and ideas into action. Their stories show what's possible when technology and people move forward together.' The awarded organizations reflect Qlik's vision for a new era of enterprise execution—where data is no longer siloed, analytics is no longer passive, and transformation is measured in real outcomes. Their achievements embody the principles at the heart of Qlik's platform: trust in data, speed to insight, and the ability to act decisively. As Qlik continues to evolve—most recently with advancements like Qlik Open Lakehouse architecture and our new agentic experience —these stories demonstrate how organizations are closing the gap between AI ambition and business execution. About Qlik Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. © 2025 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated.
Yahoo
15-05-2025
- Business
- Yahoo
Qlik Honors 2025 Global Transformation Award Winners for Advancing AI and Data Innovation
Six Organizations Recognized for Excellence in Leveraging Data Foundations to Drive Remarkable Business Outcomes and Societal Impact ORLANDO, Fla., May 15, 2025--(BUSINESS WIRE)--Qlik®, a global leader in data integration, data quality, analytics, and artificial intelligence, today announced the winners of the 2025 Global Transformation Awards at the annual Qlik Connect® event in Orlando. The prestigious awards celebrate organizations from around the world that demonstrate outstanding use of Qlik solutions to achieve groundbreaking innovation, operational excellence, and significant societal benefits. "Each of these winners shows what real transformation looks like—not just planning for the future, but executing in the present," said Mike Capone, CEO of Qlik. "In a world where AI strategies are easy to declare but hard to deliver, they've moved beyond intention to impact. Their success reflects exactly what Qlik is built for: turning complex data into confident decisions, fast." 2025 Qlik Global Transformation Award Winners: Integration Excellence Award: Truist – Projected significant savings by migrating workloads to Snowflake through Qlik Talend Cloud, streamlining legacy ETL processes. Data Mastery Award: JBS Pilgrim's – Achieved an 82% time saving in supply chain planning through standardized, timely analytics, enhancing efficiency across over 1,500 farms and production facilities. AI Innovation Award: Volkswagen Financial Services – Created DocuGen, an innovative solution that automates technical app documentation, achieving a 42x efficiency gain. Increased user onboarding speed by 15x and boosted app maintenance efficiency by 40% leveraging Qlik Automate™ and Qlik Cloud Analytics®. Global Impact Award: Foodbank Victoria – Reduced food spending by 15% per kilogram through strategic resource allocation informed by faster insights, enabling delivery of over 25 million meals annually. Data Quality & Trust Award: Lenovo – Optimized operations for 75,000 external business partners through Qlik's data governance solutions, significantly reducing costs and improving partner efficiency. Analytics Leadership Award: BT Group – Accelerated strategic decision-making by drastically reducing report generation from days to seconds, supporting over 2,000 daily analytics sessions. "What sets these organizations apart isn't just what they achieved—it's how they did it. They brought bold goals, asked tough questions, and leaned into partnership," said Roberto Sigona, Chief Operating Officer at Qlik. "We're proud to have worked alongside them to turn complexity into clarity and ideas into action. Their stories show what's possible when technology and people move forward together." The awarded organizations reflect Qlik's vision for a new era of enterprise execution—where data is no longer siloed, analytics is no longer passive, and transformation is measured in real outcomes. Their achievements embody the principles at the heart of Qlik's platform: trust in data, speed to insight, and the ability to act decisively. As Qlik continues to evolve—most recently with advancements like Qlik Open Lakehouse architecture and our new agentic experience—these stories demonstrate how organizations are closing the gap between AI ambition and business execution. About Qlik Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML, data integration, and analytics. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive. © 2025 QlikTech International AB. All rights reserved. All company and/or product names may be trade names, trademarks and/or registered trademarks of the respective owners with which they are associated. View source version on Contacts Media Contact Keith 512-367-2884 Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data
Forbes
15-05-2025
- Business
- Forbes
The Real AI Investment – Prioritizing Data Quality Over Model Hype
AI Hype We are almost three years past the fanfare of ChatGPT's big debut and the emergence of generative AI (GenAI) models in the workplace. With broader accessibility to the technology, and the bell curve of the hype cycle pushing early operational innovations – like GenAI-enabled virtual assistants – over the hump of inflated expectations, it is worth taking a thorough look at where the market is today and what can be improved. Worrying over models distracts from data issues Enterprise adoption of GenAI has surged in these last few years, with more organizations integrating GenAI tools into their operations and deploying them in production environments. Yet, even as usage expands rapidly, many companies continue to grapple with uncertainties and concerns tied to the arrival of the latest GenAI models. When a new, exciting GenAI model gets released, many businesses fall distressed over which model is best and if they should jump ship to a 'better' one. In fact, according to recent survey findings from Qlik, a global data, analytics and AI company, nearly half (47%) of AI professionals now worry their organizations has overinvested in costly, inefficient models, leading them to reassess their AI approach. However, placing significant weight on choosing one model over another is a misstep. Industry disruptions like DeepSeek will continue to arise with offers of 'better' or 'cheaper' models. For a business to reassess its current model that satisfies its needs, just because a new, shiny option comes along, would be a material misuse of resources – and an infinite loop. Furthermore, GenAI models are quickly becoming commoditized. As this trend continues, the importance of whether a business leverages a model from OpenAI, Meta or DeepSeek will continue to diminish. Rather than expending effort on model comparisons, enterprises should acknowledge and focus their time on the true foundation of all good AI: data quality. A company can sign up for the most state-of-the-art technology to power business processes and strategies, but if its data foundation isn't sound, it will be impossible to make any meaningful progress. 'As AI projects continue to drive excitement, growth, and possibility in the enterprise, it can be easy to get swept up in the hype,' empathizes Mike Capone, CEO of Qlik. 'However, one bad, rushed experience can erode organizational trust in AI and deflate enthusiasm for future innovation.' To succeed well into the future, leaders need to first understand GenAI, its capabilities and its limitations, and then take a bottoms-up approach to discovery and implementation. This starts with a strong data foundation. Use cases beyond operations According to a recent Prosper Insights & Analytics survey, over 40% of executives report they're already using GenAI. Prosper - Heard of Genetrative AI The current scope of GenAI in the enterprise today, however, largely focuses on operations – acting as a virtual assistant, automating repetitive tasks, amplifying customer service, and improving logistics. The aforementioned Prosper Insights & Analytics survey reveals that research and writing are other popular areas where GenAI comes into play. This is where the cautionary tale of an 'operational trap' comes in. Prosper - Use Generative Artifical Intelligence For Businesses will limit the technology simply out of comfort, lack of understanding, or a little of both. While streamlining operations is a legitimate business goal, GenAI has the potential to provide much more value – especially when considering use cases like augmented analytics to drive better decision-making at the executive level. A business can apply AI techniques and algorithms to automate analysis processes, analyze, and interpret data, derive insights, and make recommendations. AI-augmented analytics has two main advantages over traditional analytics: first, it can leverage advanced algorithms and machine learning models to handle complex and unstructured data, identify patterns, and make accurate predictions. Second, it can accomplish analytics tasks significantly faster than a human could. Things like data processing will cease to take up the majority of a data professionals' day – freeing up their time to focus on more strategic tasks. This nirvana state, however, can only be accomplished if issues like data quality are addressed first. The current state of AI data quality 'The foundation of any strong AI investment is data quality, which business leaders unfortunately under-prioritize,' Capone commiserated. The aforementioned Qlik survey showed that AI initiatives in the enterprise are at serious risk due to poor data quality and ROI expectations. While AI adoption is accelerating and AI investment is increasing, most companies do not have the proper data foundations to fully capture the value and capabilities of AI. This isn't just a management problem – it is one that can be a company-wide plague. Four out of five (81%) professionals who deal with data, analytics, and AI models know their organization has more to do to overcome data quality issues, with either a moderate or a large amount of work. Furthermore, concern about data quality is the top reason organizations are limiting their employees' usage or outright access to GenAI tools today, according to a 2025 research report from Avanade, global professional services company. Building AI on flawed data will, at best, produce unreliable results. At worst, companies will endure financial waste and increased business risk from biased models, unreliable insights, and poor ROI. According to Gartner, at least 30% of GenAI projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value. Those closest to AI implementation are taking heed of data quality issues, but in a lot of cases, without the serious support of executives – 90% of directors and managers believe leadership is failing to focus on the issue, Qlik found in its aforementioned AI survey. This juxtaposition between a workers' lack of confidence and executives' overconfidence in AI strategy is creating a tension that must be addressed to harness everything that GenAI has to offer the enterprise. One parting piece of advice The single most important action that business leaders can implement today if they truly want to make gains from their GenAI investment is focusing their energy on data quality first. Think of it this way: if you want to ride a bike, you had better first make sure that there's air in the tires and grease on the chain. We have yet to tap into the full power of AI. Those who make strategic and decisive moves to build a trusted data foundation today will be the ones that harness its advanced applications tomorrow, driving a competitive edge and a sustainable, more efficient business well into the future.
Fast Company
15-05-2025
- Business
- Fast Company
Turning AI ambition into business action with real-time data and proactive agents
Imagine a retail merchandiser sitting at breakfast when her phone buzzes with a proactive alert. Overnight, social media chatter around a celebrity's post has sent demand for neon sneakers soaring. Instead of scrambling through manual reports, her AI agent has already flagged the trend, forecasted inventory gaps, and drafted a recommended restocking order. She taps to approve it and alerts her team to staff up—all before finishing her coffee. It's a powerful vision—but one most businesses haven't reached yet. 'The big lofty promises of AI haven't turned into corporate results on the P&L,' says Mike Capone, CEO of Qlik, a company that provides AI, data integration, and analytics solutions to large organizations. 'What we're seeing now is a little bit of disillusionment. And the reason for that is there's a bunch of foundational work that needs to get done in order to achieve those results.' Capone emphasizes that companies can't simply plug in a large language model and reap the benefits of AI. It must first establish systems that effectively collect, process, analyze, and store structured and unstructured data from multiple sources. 'The real foundation for AI is in multiple dimensions,' says Capone. 'Most importantly, data needs to be harnessed in real time. Old data is not useful in today's world. The veracity of that data is also crucial. If the data is not of sufficient quality and ready to feed into AI models, you're going to get bad outcomes.' Recent research reflects the disconnect between business leaders' expectations around AI and the actual results they have seen to date. A 2025 IDC survey sponsored by Qlik found that while '89% of organizations have revamped data strategies to embrace Generative AI, only 26% have deployed solutions at scale,' and '80% of organizations are investing in Agentic AI workflows, yet only 12% feel confident their infrastructure can support autonomous decision-making.' In a 2025 American Express survey of small business leaders, 87% currently using AI said 'they are still learning how to use it effectively,' and 68% reported that 'they thought AI would have made a bigger impact on their business than it actually has.' MAKING INFORMED DECISIONS IN AN UNCERTAIN WORLD Today's leaders are managing significant challenges in a business landscape shaped by uncertainty, constant change, and rising costs. Qlik works with organizations to build a foundation of real-time, accurate data that can supply valuable AI analytics and have a positive impact on their bottom line. 'We have had more black swan events in the last 10 years than any time since World War II,' says Capone. 'Between COVID, the closure of the Suez Canal, natural disasters, the war in Ukraine, and the rising costs and tariff shock of the macroeconomic environment, things are changing every day. Minutes matter. The ability to ingest data in real time, make sense of it, and make decisions based on it is critical. And that's what we help our customers do.' This week, Capone and his team announced the launch of two new products at Qlik Connect, an annual data, analytics, and AI event that gathers nearly 2,000 attendees from approximately 60 countries. Qlik Open Lakehouse is a tool that offers real-time, vendor-neutral data integration for faster query performance and lower infrastructure costs. A new agentic experience provides a conversational interface and specialized AI agents that surface insights, recommend actions, and help users make faster, more informed decisions. Capone stresses that the company doesn't develop new products in a vacuum. He aims to spend between 30% and 40% of his time in any given week listening to customers on sales calls or direct interactions to understand their pain points, needs, and expectations. Customer feedback has a direct impact on the organization's product road map. Qlik also established an AI council composed of experts from public sector and higher education backgrounds. 'AI is complicated, and there is an ethical component to it that we are intentional about taking into account,' says Capone. 'We feel very strongly that technological advancement always outstrips society's ability to regulate it. Governments eventually try to catch up, but the reality is that the private sector owns some of this process. We're in a unique position to shape the ethical use of AI. The AI Council gives us another way to help us think about our technological decisions and how they play out—not just for our customers but for society in general. And more transparency is almost always the answer.' STRATEGIES FOR SUSTAINABLE BUSINESS RESULTS Capone urges business leaders to implement the following best practices to get the most out of their data and AI. • Start with a business problem. 'All of our most successful customers start by identifying a real business problem they want to solve. They ask: What are key things I can do to improve my business, top line, and bottom line? How can AI apply to these situations? How can I build a strong foundation and a repeatable process around AI? Everyone talks about their vision for AI. We're talking about operationalizing AI and putting it into the workflow of your entire business.' • Find an agile AI solution that can scale with your business needs. 'Sometimes in an effort to go super fast, people get myopic and think AI is a one-size-fits-all solution—but that's not the reality. We work with some of the largest, most innovative companies in the world that have saved millions of dollars with AI. But a lot of AI is becoming very local. You have to look at every dimension in your business and understand what flavor of AI makes sense for you.' • Focus on action, not ambition. 'Everybody has AI ambition, but we're past that stage now. Ask yourself: How can AI really truly impact my business? What ROI am I looking to get? How can we achieve more certainty through data? Let's get real about how we can build durability and sustainability into these platforms.'
