Jitterbit betting big on partners, and pays them like it. Leadership appointments, new Catalyst Partner Program and improved partner incentives support global channel expansion. ALAMEDA, Calif., Oct. 29, 2026 (GLOBE NEWSWIRE) - Jitterbit, a global leader in intelligent automation and accountable AI, today announced two senior sales appointments and the launch of its Catalyst Partner Program, a redesigned program that publishes exactly what resellers, distributors and systems integrators can earn. As an accelerator to this strategy, Jitterbit has appointed Bryan Hoffman as Vice President and General Manager, Sales, North America, and Bojan Petrovic as Vice President and General Manager, Sales, EMEA and APAC. "Partners are central to our growth, and they should never have to guess what they'll earn with us," said Jitterbit President & CEO Mark Logan. "Bryan and Bojan bring deep integration, data and channel experience, and the Catalyst Partner Program gives them a clear, published offer to take to market." Hoffman was most recently Vice President, North America at Qlik, where he led enterprise, commercial and OEM sales. Petrovic, based in Stuttgart, Germany, brings more than 20 years of enterprise software sales leadership, including senior roles at Qlik, Attunity and Axway and, most recently, as Vice President of Global Sales at CluedIn. Jitterbit partner program built to get partners transacting in 90 days The Catalyst Partner Program follows significant advances in the Jitterbit Harmony platform for integration, automation, application development and agentic AI, giving partners more ways to help customers connect systems, streamline workflows and simplify complex IT environments. It serves resellers, systems integrators and consultancies, and ISV and OEM partners. "We want partners to see a clear commercial opportunity in working with Jitterbit. Better margins, deal protection and a sales team aligned with their success give them greater confidence to invest in our platform," said Jitterbit Chief Revenue Officer Chris Stoddard. Key elements of the program include: * Published margins. Resellers earn a base discount of 20% to 30% by tier, plus a 10% uplift on registered deals, for a total margin of up to 40%. * Margin that lasts the full term. On new-customer, multi-year deals, partner margin applies in every year of the contract, not just at signing. * Fast start accelerator. New partners earn an additional 10% margin on their first three registered deals closed within 90 days of signing, and hold Accelerate tier status for their first full year. * Services and enablement. Partners receive free sales and technical accreditation, no-cost sandbox and demo environments, and a named partner manager and sales engineer from day one. Partners can learn more about Jitterbit Catalyst and apply at https://www.jitterbit.com/partner-program/. About Jitterbit Jitterbit accelerates data transformation by unifying accountable AI agents, apps, and automation on the industry's only AI-infused platform. Trusted in 60-plus countries and ranked No. 1 in enterprise ROI, Harmony empowers any user to securely build, deploy, and manage intelligent automation and AI agents. The Harmony platform, which includes iPaaS, EDI, App Builder, API Manager, and MCP, delivers intelligent automation and accountable control for organizations globally. We don't just integrate systems; we orchestrate the future of work with intelligence you can trust. Learn more at www.jitterbit.com or follow us on LinkedIn. Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Qlik introduces Semantic Models for shared business context across analytics and AI. New capability brings governed definitions, expressions and relationships into reusable data products, helping teams reduce duplicate modeling and deliver more consistent results across analytics and AI. Key takeaways: * Define business meaning: Analytics, data teams, and business users trust the data they see and act on it faster by giving analytics and data teams a shared, governed definition of each metric. * Reuse the work: Analytics developers save modeling time by reusing governed business logic across applications, reducing the need to rebuild and reconcile the same definitions. * Support AI readiness: Teams building AI workflows interpret enterprise data more consistently by giving supported AI experiences shared business definitions and context. PHILADELPHIA, Oct. 28, 2026 (GLOBE NEWSWIRE) - Qlik(R) today introduced Semantic Models, a new capability for defining, governing and reusing business definitions within data products. The capability helps teams reduce duplicated modeling and gives analytics and AI a consistent basis for interpreting enterprise data. A question about net revenue needs more than access to sales records. It also needs the company's rules for returns, discounts, and reporting periods. When those rules differ across applications, plausible answers can mean different things. Semantic Models let teams make the intended definitions and relationships explicit and reusable. Semantic Models add reusable business logic to Qlik's existing data-product capabilities, which already bring together curated datasets, ownership, lineage and data-quality information. Teams can manage the meaning of their data alongside information about its source and fitness for use. "A number can be mathematically correct and still answer the wrong business question," said Sam Pierson, Chief Technology Officer at Qlik. "Teams need to understand which definition is being used and apply it consistently. With Semantic Models, we are making that work reusable within governed data products, so customers can build on the business logic they establish as their use of analytics and AI grows." What's new with Qlik Semantic Models * Give teams a shared business language: Help business users, data teams and AI systems work from consistent definitions of key business terms and metrics. Semantic Models connects governed business terminology from the business glossary with the measures and dimensions used across analytics and data products. * Build on existing business logic: Help organizations reuse years of investment in Qlik analytics applications instead of recreating established definitions and calculations. Initially available as a public preview on October 28, a new extraction capability will let teams bring semantic definitions from existing Qlik analytics applications into reusable, governed and discoverable data products, with general availability planned for later in Q4. * Make trusted business context available to AI agents: Help AI-powered experiences interpret enterprise data using governed definitions and relationships. Qlik is extending semantic model support to Qlik Answers(R) and MCP tools, with availability targeted for Semantic Models general availability or shortly thereafter. Qlik is also planning AI assistance to help teams create and maintain semantic models. * Advance interoperability across the data ecosystem: Help organizations make semantic definitions more useful across technologies and workflows. Qlik is developing interoperability with Apache Ossie (incubating), an open-source initiative at the Apache Software Foundation, with a public preview planned as work progresses. "AI is only as useful as the data and business context behind it. With Qlik Semantic Models, we can bring our business definitions, metrics and relationships together in a governed, reusable way, giving our teams a consistent foundation for analytics and AI," shared Henri Rufin, Head of Data & Analytics, Radiall. "Instead of recreating context for every new use case, we can build on a shared understanding of our business and make that context available, wherever it is needed." Qlik's analytics engine applies governed measures and dimensions when analyzing structured data. The new semantic-model workflow is designed to make the definitions feeding analytics reusable through data products, giving teams a shared starting point for applications and the AI experiences built on them. Availability Qlik Semantic Models is targeted for general availability on October 28, 2026, wherever Data Products is available: Qlik Cloud Analytics(R) and Qlik Talend Cloud(R) Premium and Enterprise editions, and Qlik Sense(R) Enterprise SaaS. | About Qlik | Media Contact | | Qlik helps teams get more out of AI with data they can rely on and control. It delivers trusted data products, a powerful analytics engine, and AI agents. This helps teams reduce risk, keep operating costs in check, and scale AI responsibly as needs evolve. Used by 75% of the Fortune 500, Qlik supports customers worldwide. Qlik works with the systems and partners customers already use, so teams can stay flexible without lock-in. Keith Parker 512-367-2884 | | / | / | (C) 2026 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.

Qlik extends enterprise AI governance to Claude with MCP integration. As enterprises expand the use of generative AI across decision-making and analytics workflows, a new challenge is emerging: providing AI models with trusted business context rather than disconnected data. Qlik is addressing this challenge by making its Model Context Protocol (MCP) Server available through Anthropic's Claude Directory, enabling organizations to connect governed enterprise data and analytics workflows directly to Claude. The move reflects a broader shift in enterprise AI adoption. While organizations have embraced large language models for productivity and analysis, many struggle to ensure that AI-generated insights are grounded in trusted business data, established metrics, and governance frameworks. Without that context, AI systems can produce inconsistent results and create new governance risks. Qlik's integration is designed to bridge that gap. Through MCP, Claude users can access governed data, lineage information, trust signals, business metrics, and existing analytical logic stored in Qlik Cloud. Rather than recreating business rules through prompts or external tools, users can leverage existing enterprise knowledge and controls. "Customers adopting Claude want more than an LLM hooked to raw records. They want Claude to work with governed business context, existing metrics, and data workflows with enterprise controls." - Josh Good, VP, Corporate Strategy, Qlik The announcement also expands Claude's role beyond conversational AI. Organizations can use the integration to search datasets and data products, understand analytics expressions and scripts, query governed enterprise data, and generate dashboards, sheets, and visualizations using natural language. This positions AI as an operational analytics layer rather than simply an information retrieval tool. Security and governance remain central to the strategy. The platform uses OAuth-based authentication and existing Qlik Cloud permissions, enabling enterprises to maintain established access controls while extending AI capabilities into analytical environments. For CIOs and data leaders, the significance is clear. As AI increasingly becomes embedded in business processes, success will depend less on model performance and more on the quality and governance of the data supporting those models. Qlik's integration with Claude reflects a growing industry trend toward context-aware AI, where governed data, trusted metrics, and enterprise controls become foundational to scaling AI responsibly across the organization.