Latest news with #RituJyoti
TECHx
02-07-2025
- Business
- TECHx
Qlik Trust Score for AI Now Available in Talend Cloud
Home » Tech Value Chain » Global Brands » Qlik Trust Score for AI Now Available in Talend Cloud Qlik®, a global in data integration, data quality, analytics, and artificial intelligence, has announced the general availability of Qlik Trust Score™ for AI. This innovation is now included within Qlik Talend Cloud®. It helps organizations assess whether data is truly ready for AI before it reaches a model. The Qlik Trust Score for AI introduces purpose-built scoring across AI-specific dimensions. It is designed to help companies establish strong data foundations for responsible and scalable AI. As AI adoption grows, many businesses face a critical challenge they don't know if the data feeding their models is trustworthy. Qlik's solution addresses this by offering a single, intuitive score that reveals where data trust breaks down. This helps prevent bias, drift, and faulty outcomes. Drew Clarke, EVP of Product and Technology at Qlik, stated, '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.' He added that without the ability to measure trust, organizations are gambling with outcomes, compliance, and customer experience. The Qlik Trust Score for AI provides a real-time signal that data is fit for purpose. This tool builds on Qlik's existing Trust Score framework with three new AI-focused dimensions: Diversity: Measures representativeness and balance to reduce training bias. Timeliness: Assesses freshness of data for relevant decision-making. Accuracy: Flags values that break business rules or lack reliability. These features combine with metrics like Discoverability and Usage. The solution supports AI training, Retrieval-Augmented Generation (RAG) pipelines, and intelligent automation. Security and LLM Readiness metrics are expected in future updates. Qlik also revealed plans for Trust Score historization, enabling users to track trends over time. This helps correlate trust shifts with issues like model drift or performance drops. In addition, Qlik reported an early access program for an AI-native Data Stewardship experience in Qlik Talend Cloud. Launching this fall, the feature aims to detect and resolve data issues earlier. It will include automated rules, human-in-the-loop workflows, and platform-wide governance. Ritu Jyoti, Group VP/GM at IDC, noted that many AI initiatives fail because of untrustworthy data. 'Without visible metrics for data trust, organizations risk costly failures and stalled adoption,' she said. Charles Link, Senior Director of Data and Analytics at Reworld, emphasized that trust in data is critical. 'The hardest part of AI is rarely the model. It's trusting the data behind it,' he said. A recent Qlik survey revealed only 42% of executives fully trust AI-generated insights, despite nearly 90% seeing AI as vital to their strategy. Qlik Trust Score for AI helps bridge this trust gap with an objective and repeatable framework. It aligns with emerging governance standards. Qlik is the first to deliver a unified, AI-specific trust signal directly into the data pipeline. It integrates measurement, monitoring, and remediation in one platform. The feature is now generally available for Qlik Talend Cloud Enterprise Edition customers.
TECHx
14-05-2025
- Business
- TECHx
ServiceNow Debuts AI Control Tower for Enterprises
Home » Tech Value Chain » Global Brands » ServiceNow Debuts AI Control Tower for Enterprises ServiceNow (NYSE: NOW), the AI platform for business transformation, has announced the launch of its new AI Control Tower. The centralized solution is designed to govern, manage, secure, and derive value from ServiceNow and third-party AI agents, models, and workflows, all from a single unified platform. The company stated that AI Control Tower helps businesses optimize their AI investments and ensures seamless, responsible integration into enterprise strategies. Alongside this launch, ServiceNow also revealed AI Agent Fabric, a new system that enables advanced communication and collaboration between AI agents and models. This move, according to the company, marks a significant step forward in orchestrating agentic AI across the enterprise. The company confirmed that partners including Accenture, Adobe, Box, Cisco, Google Cloud, IBM, Jit, Microsoft, Moonhub, RADCOM, UKG, and Zoom will be among the first to offer integrations with AI Agent Fabric. These integrations are intended to support seamless enterprise workflows across third-party agents. Citing Gartner® research, ServiceNow noted that by 2028, enterprises using AI governance platforms could achieve 30% higher customer trust and 25% better regulatory compliance scores than competitors. ServiceNow said its AI Control Tower provides AI management at scale, allowing customers to track all AI agents, understand their roles, assign human oversight, and maintain security. Amit Zavery, President, Chief Product Officer, and COO at ServiceNow, commented that as AI agents continue to expand across organizations, coordinating their activities becomes critical. He emphasized that AI Control Tower helps businesses manage AI workforces similar to human teams—aligned, coordinated, and optimized to deliver measurable impact. The company outlined several core capabilities of AI Control Tower: Centralized visibility of all AI agents, models, and workflows, whether native or third-party. Built-in compliance tools to manage risk, privacy, and security across the AI lifecycle. Real-time dashboards for reporting performance and measuring outcomes like productivity and revenue. ServiceNow added that AI Control Tower supports lifecycle management for AI operations, from ideation and deployment to optimization, while helping enforce governance policies. Ritu Jyoti, Group VP and GM for AI and Data Market Research at IDC, stated that with AI solutions expected to generate $22.3 trillion in cumulative global impact by 2030, organizations will need tools to manage their growing AI assets. She said that centralized governance platforms will drive trust and performance. Meanwhile, the newly introduced AI Agent Fabric enables native collaboration across AI systems. ServiceNow explained that it supports communication between agents and tools using protocols such as Model Context Protocol (MCP) and Agent2Agent (A2A), allowing real-time coordination of tasks. Through AI Agent Fabric, thousands of ServiceNow AI agents can now work alongside third-party systems, dynamically sharing context and driving outcomes. This capability is further expanded by domain-specific agents created in ServiceNow AI Agent Studio and additional integrations from ecosystem partners. These integrations will be available via the ServiceNow Marketplace. ServiceNow also mentioned that AI Agent Fabric complements its Workflow Data Fabric, which connects and analyzes structured and unstructured data across systems. Together, these solutions aim to unify data, workflows, and AI, supporting large-scale enterprise transformation.
