Latest news with #QlikTalendCloud
Channel Post MEA
02-07-2025
- Business
- Channel Post MEA
Qlik Announces Trust Score for AI in Qlik Talend Cloud
Qlik has announced the general availability of Qlik Trust Score for AI, an industry-leading innovation designed to help organizations assess whether data is truly ready for AI, before it ever reaches a model. Included within Qlik Talend Cloud, the Qlik Trust Score for AI introduces purpose-built scoring across AI-specific dimensions, helping customers establish the data foundations needed for responsible, scalable AI. As enterprises accelerate AI adoption, many face a fundamental blind spot: they don't know if the data feeding their models is trustworthy or fit for purpose. Qlik Trust Score for AI solves that problem with a single, intuitive score that shows teams where trust breaks down. This helps prevent bias, drift, or faulty outcomes from taking hold. 'Most companies still treat data trust like an IT hygiene issue. It's not. It's the foundation of every AI decision a business makes,' said Drew Clarke, EVP of Product and Technology at Qlik. 'If you can't measure trust, you're gambling with outcomes, compliance, and customer experience. With Qlik Trust Score for AI, we're giving leaders a living signal, not a gut check, that their data is fit for purpose. That's how you close the gap between AI ambition and AI impact.' Qlik Trust Score for AI builds upon Qlik's original Trust Score framework by introducing three new dimensions purpose-built for AI readiness: Diversity : Measures how representative and balanced the data is, helping to reduce bias in AI training. : Measures how representative and balanced the data is, helping to reduce bias in AI training. Timeliness : Captures the freshness of data flowing into AI models, ensuring relevance for more accurate decision-making. : Captures the freshness of data flowing into AI models, ensuring relevance for more accurate decision-making. Accuracy: Flags values that fall outside user-defined business rules or unreliable quality expectations that can erode organizational trust in AI. Combined with existing metrics like Discoverability and Usage, Qlik Trust Score for AI offers a practical way to validate datasets for use in AI training, RAG pipelines, or intelligent automation, with Security and LLM Readiness dimensions to follow. As a part of Qlik's vision for data quality and governance for AI initiatives, Qlik is also rolling out additional features, including Qlik Trust Score historization, which allows users to monitor trends over time and correlate shifts in trust with downstream impacts, including model drift or performance degradation. In addition, Qlik will also roll out an early access program for an AI-native Data Stewardship experience within Qlik Talend Cloud, aimed at proactively detecting and resolving data issues earlier in the lifecycle. Targeted to launch this fall, this capability will combine automated rules, human-in-the-loop workflows, and platform-wide governance. This enables data teams and AI personas to collaborate more effectively on data quality remediation. 'AI initiatives are still stumbling at alarming rates—only a fraction succeed in delivering enterprise-scale value,' said Ritu Jyoti, Group VP/GM, AI, Automation, Data and Analytics at IDC. 'The missing link isn't the model; it's the data. Without visible metrics for data trust, organizations risk costly failures, unchecked bias, and stalled adoption. A unified trust signal like Qlik's Trust Score for AI gives teams the concrete insight they need to make AI reliable and repeatable.' 'Reworld is one of many Qlik customers focused on operationalizing trust in their AI strategy. 'The hardest part of AI is rarely the model. It's trusting the data behind it. In our business, if we can't stand behind the data, we can't stand behind the decisions,' said Charles Link, Senior Director of Data and Analytics at Reworld. 'A clear, continuous signal that tells you whether data is truly ready for AI creates a new standard. It brings trust out of the shadows and into the conversation, where it belongs.'
Economic Times
18-05-2025
- Business
- Economic Times
Qlik bullish on India, aims to cross 1,000 customer base this year
Bullish on Indian market growth, leading data analytics and artificial intelligence player Qlik expects its customer base to cross 1,000 this year. "We have doubled our business in the last two years. We have a good representation of 800 plus customers now, including Indian Oil, Ather Energy, NSE and HDFC Life," Qlik Managing Director (India) Varun Babbar told PTI here. Prodded further about crossing the 1,000 customer milestone, he said, "We should be able to do it should happen this year, but it's difficult to say exactly when". There are a lot of small and midsize businesses that are doing quite well, and they are going to be the next set of partners, both on data analytics and AI strategy. From a headcount perspective, he said, India is the third largest employer within the Qlik ecosystem after the US and Sweden. India is prioritised a lot in terms of investment as well, he said, adding that, data centre was opened recently in India with a large investment. Located in Mumbai, this strategic investment enhances Qlik's global cloud infrastructure and deepens its long-term commitment to the Indian market, meeting the growing demand for local data storage, regulatory compliance, and advanced AI capabilities. Besides, he said, the company is making a lot of investment in advisory services, and through that, vertical guidance is provided to customers in terms of data environment and data strategies for achieving greater efficiency. Qlik senior vice president (APAC) Maurizio Garavello said India headcount has doubled in the last 16 months, and hiring would continue as business is growing in the market. Go big is the direction that top management has given as far as the Indian market is concerned, Garavello added. The US-based IT company, earlier this month, unveiled a new agentic experience to drive faster decisions and boost productivity by bringing new simplicity to complex data-driven workflows. Besides, the company launched Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud. The agentic experience will provide a single, conversational interface, allowing users across the enterprise to interact naturally with data, using specialised AI agents to quickly uncover insights, drive faster decisions, and boost productivity, bringing new simplicity to complex data-driven workflows. At the heart of this continuous innovation is the Qlik engine, a unique technology that indexes relationships across data, enabling the discovery of unexpected connections.
&w=3840&q=100)
Business Standard
18-05-2025
- Business
- Business Standard
Qlik bullish on Indian market, aims to cross 1,000 customer base in 2025
There are a lot of small and midsize businesses that are doing quite well, and they are going to be the next set of partners, both on data analytics and AI strategy Press Trust of India Orlando (Florida) Bullish on Indian market growth, leading data analytics and artificial intelligence player Qlik expects its customer base to cross 1,000 this year. "We have doubled our business in the last two years. We have a good representation of 800 plus customers now, including Indian Oil, Ather Energy, NSE and HDFC Life," Qlik Managing Director (India) Varun Babbar told PTI here. Prodded further about crossing the 1,000 customer milestone, he said, "We should be able to do it should happen this year, but it's difficult to say exactly when". There are a lot of small and midsize businesses that are doing quite well, and they are going to be the next set of partners, both on data analytics and AI strategy. From a headcount perspective, he said, India is the third largest employer within the Qlik ecosystem after the US and Sweden. India is prioritised a lot in terms of investment as well, he said, adding that, data centre was opened recently in India with a large investment. Located in Mumbai, this strategic investment enhances Qlik's global cloud infrastructure and deepens its long-term commitment to the Indian market, meeting the growing demand for local data storage, regulatory compliance, and advanced AI capabilities. Besides, he said, the company is making a lot of investment in advisory services, and through that, vertical guidance is provided to customers in terms of data environment and data strategies for achieving greater efficiency. Qlik senior vice president (APAC) Maurizio Garavello said India headcount has doubled in the last 16 months, and hiring would continue as business is growing in the market. Go big is the direction that top management has given as far as the Indian market is concerned, Garavello added. The US-based IT company, earlier this month, unveiled a new agentic experience to drive faster decisions and boost productivity by bringing new simplicity to complex data-driven workflows. Besides, the company launched Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud. The agentic experience will provide a single, conversational interface, allowing users across the enterprise to interact naturally with data, using specialised AI agents to quickly uncover insights, drive faster decisions, and boost productivity, bringing new simplicity to complex data-driven workflows. At the heart of this continuous innovation is the Qlik engine, a unique technology that indexes relationships across data, enabling the discovery of unexpected connections. (Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
Time of India
18-05-2025
- Business
- Time of India
Qlik bullish on India, aims to cross 1,000 customer base this year
Bullish on Indian market growth, leading data analytics and artificial intelligence player Qlik expects its customer base to cross 1,000 this year. "We have doubled our business in the last two years. We have a good representation of 800 plus customers now, including Indian Oil , Ather Energy , NSE and HDFC Life ," Qlik Managing Director (India) Varun Babbar told PTI here. Prodded further about crossing the 1,000 customer milestone, he said, "We should be able to do it should happen this year, but it's difficult to say exactly when". There are a lot of small and midsize businesses that are doing quite well, and they are going to be the next set of partners, both on data analytics and AI strategy. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Moose Approaches Girl At Bus Stop In Khulna - Watch What Happens Happy in Shape Undo From a headcount perspective, he said, India is the third largest employer within the Qlik ecosystem after the US and Sweden. India is prioritised a lot in terms of investment as well, he said, adding that, data centre was opened recently in India with a large investment. Live Events Located in Mumbai, this strategic investment enhances Qlik's global cloud infrastructure and deepens its long-term commitment to the Indian market, meeting the growing demand for local data storage, regulatory compliance, and advanced AI capabilities. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories Besides, he said, the company is making a lot of investment in advisory services, and through that, vertical guidance is provided to customers in terms of data environment and data strategies for achieving greater efficiency. Qlik senior vice president (APAC) Maurizio Garavello said India headcount has doubled in the last 16 months, and hiring would continue as business is growing in the market. Go big is the direction that top management has given as far as the Indian market is concerned, Garavello added. The US-based IT company, earlier this month, unveiled a new agentic experience to drive faster decisions and boost productivity by bringing new simplicity to complex data-driven workflows. Besides, the company launched Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud. The agentic experience will provide a single, conversational interface, allowing users across the enterprise to interact naturally with data, using specialised AI agents to quickly uncover insights, drive faster decisions, and boost productivity, bringing new simplicity to complex data-driven workflows. At the heart of this continuous innovation is the Qlik engine, a unique technology that indexes relationships across data, enabling the discovery of unexpected connections.
&w=3840&q=100)
Business Standard
15-05-2025
- Business
- Business Standard
Qlik unveils agentic experience to simplify data workflows, aid decisions
Qlik, a leading player in data integration, data quality, analytics, and artificial intelligence, on Wednesday introduced its new agentic experience to drive faster decisions and boost productivity by bringing new simplicity to complex data-driven workflows. Besides, the company launched Open Lakehouse, a fully managed Apache Iceberg solution built into Qlik Talend Cloud. These two products were unveiled at Qlik Connect 2025 here for its customers. The agentic experience will provide a single, conversational interface allowing users across the enterprise to interact naturally with data, using specialised AI agents to quickly uncover insights, drive faster decisions, and boost productivity, bringing new simplicity to complex data-driven workflows. At the heart of this continuous innovation is the Qlik engine, a unique technology that indexes relationships across data, enabling the discovery of unexpected connections. This new agentic experience is about removing the distance between data, decisions, and outcomes, Qlik CEO Mike Capone said here. "People want a seamless, conversational way to engage with their data, one that fits naturally into their work and delivers clear, trusted answers in context. We've built this experience to reflect how decisions actually get made in a business," he said. As enterprises face unpredictable market conditions and increasing pressure to make critical decisions rapidly, investments in AI have grown, he said, adding that, with its agentic experience, Qlik is focused on helping customers turn data into timely, high-quality decisions and results. Qlik's agentic experience to be rolled out this summer is specifically designed to empower teams to accelerate both decisions and productivity in rapidly changing environments, he added. Designed for enterprises under pressure to scale faster and spend less, Capone said, Qlik Open Lakehouse delivers real-time ingestion, automated optimisation, and multi-engine interoperability, without vendor lock-in or operational overhead. As organisations accelerate AI adoption, he said, 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 2.5 times, 5 times faster query performance and up to 50 per cent lower infrastructure costs, while maintaining full compatibility with the most widely used analytics and machine learning engines, he said. "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," he said. Qlik Open Lakehouse is built from the ground up to meet the scale, flexibility, and performance demands of modern enterprises, without the tradeoffs, he added. During the Qlik Connect 2025, it was also highlighted that despite record AI investment, most enterprises remain stuck in the lab. According to recent IDC research, while 80 per cent plan to deploy agentic AI workflows, only 12 per cent feel ready to support autonomous decision-making at scale. Trust in outputs is eroding amid growing concerns around hallucinations, bias, and regulatory scrutiny, the report said. And as models become commoditised, competitive advantage is shifting, not to those with the most advanced models, but to those who can operationalise AI with speed, integrity, and confidence, it added. The Qlik AI Council emphasised that trust must be designed in, not added later. Execution is the new differentiator, and it only works when the data, infrastructure, and outputs are verifiable, explainable, and actionable. In today's environment, the companies that pull ahead won't be the ones that test the most, they'll be the ones that deliver, the Council said. Observing that the market is short on execution, Capone said, companies aren't losing ground because they lack access to powerful models. "They're losing because they haven't embedded trusted AI into the fabric of their operations. That's why at Qlik, we've built a platform focused on decisive, scalable action. If your data isn't trusted, your AI isn't either. And if your AI can't be trusted, it won't be used," he added. (Only the headline and picture of this report may have been reworked by the Business Standard staff; the rest of the content is auto-generated from a syndicated feed.)
