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Dataiku Wins Most Innovative Agent Development Platform in SiliconANGLE Media’s Tech Innovation CUBEd Awards

NEW YORK--(BUSINESS WIRE)--Dataiku today announced it is a winner of SiliconANGLE Media’s 2026 Tech Innovation CUBEd Awards in the Most Innovative Agent Development Platform category. The CUBEd Awards is an annual program honoring the most innovative companies, technologies, and leaders shaping the future of B2B and B2B2C technology.

Dataiku was recognized in the Technology category for AI Agents with Dataiku, as a platform that enables enterprises to create, deploy, and manage AI agents across the enterprise, demonstrating meaningful innovation, market relevance, and real-world impact.

“AI agents are reshaping how companies think, decide, and act,” said Mark Abramowitz, Chief Marketing Officer at Dataiku. “In this new era, control is power, governance is growth, and measurable impact is the only currency that matters. Recognition like this reflects the shift we’re seeing firsthand: leading enterprises are embedding trusted AI agents into their core operations and turning strategy into sustained competitive gain.”

The Tech Innovation CUBEd Awards are judged by a panel of respected industry analysts and influencers, practitioners, and technologists who evaluate entries based on innovation, differentiation, real-world impact, and execution. Winners represent the solutions and leaders setting new benchmarks across cloud, data, AI, security, and enterprise infrastructure.

“What stood out this year was the combination of technical excellence and business impact,” said John Furrier, co-founder and co-CEO of SiliconANGLE Media. “The 2026 winners are companies, teams, and individuals who look beyond hype and focus on building the platforms, products, and leadership models that customers rely on.”

The 2026 Tech Innovation CUBEd Awards span three primary award tracks — Company, Technology, and People — recognizing excellence across the full spectrum of B2B and B2B2C innovation. Winners were announced on February 24, 2026, following a competitive review process by top-tier industry analysts and experts.

For more information about the Tech Innovation CUBEd Awards and the full list of 2026 winners, visit https://www.thecube.net/awards.

About Dataiku

Dataiku is The Universal AI Platform™, uniting human expertise and AI reasoning to power trusted intelligence at scale. Built for the enterprise and designed for trust, it connects and governs every form of reasoning — data-driven, predictive, generative, and human — to deliver explainable, measurable, and scalable AI.

Dataiku is trusted by 1 in 4 of the world’s top companies1, and is backed by investors, including Wellington Management, Battery, CapitalG, ICONIQ, and FirstMark. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.

About SiliconANGLE Media

SiliconANGLE Media is a recognized leader in digital media innovation, bringing together cutting-edge technology, influential content, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios — such as those established in Silicon Valley and the New York Stock Exchange (NYSE) — SiliconANGLE Media transforms the way technology companies connect with their target markets. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a powerful ecosystem of industry-leading digital media brands, with a reach of 15+ million elite tech professionals, 11.4k+ theCUBE alumni, 4+ million SiliconANGLE readers and 250,000+ social media subscribers. The company's new, proprietary theCUBE AI LLM is breaking ground in audience interaction, leveraging CUBE365's neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.

1 Based on the top 500 of the 2025 Forbes Global 2000 list (excluding China).

Contacts

Gina King for Dataiku
press@dataiku.com

Dataiku


Release Versions

Contacts

Gina King for Dataiku
press@dataiku.com

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