Jitterbit unveils AI-infused Harmony platform to accelerate business transformation

Jitterbit unveils AI-infused Harmony platform to accelerate business transformation

Harmony to deliver its AI-Infused, low-code capabilities for integration, orchestration, automation and application development.

Jitterbit has announced the next era of integration, orchestration, automation and application development with its unified AI-infused, low-code Harmony platform.

Jitterbit Harmony future-proofs operations, simplifies complexity and drives innovation for organizations globally.

Harmony is a unified, AI-infused low-code platform consisting of iPaaS, API Manager, App Builder (low-code application development formerly Vinyl), and EDI products to empower IT and line-of-business teams.

 “In today’s digital era, businesses are navigating hybrid IT environments with countless complex systems, applications and data sources. The data divide is a growing reality and constraints on IT resources are hindering the advancement of automation initiatives,” said Jitterbit President and CEO Bill Conner.

“AI-powered automation is bridging this gap, enabling any organization to solve complex transformation journeys. By empowering both IT teams and line-of-business groups, organizations can boost productivity, efficiency and responsiveness, creating more opportunities for innovation.”

 The AI-infused low-code Harmony platform is pitched as allowing organizations and teams to adopt AI capabilities and scale at their own pace.

With robust integration, API management, low-code application development capabilities and EDI solutions, Harmony supports enterprise transformation by enabling organizations to automate and orchestrate critical business processes, operations and workflows.

 “AI is fundamentally reshaping how we develop and deploy technology and, with Harmony, we’re pushing the boundaries of what’s possible,” said Jitterbit CTO Manoj Chaudhary.

“We’ve been at the forefront of AI innovation for years, pioneering the use of machine learning, large language models, and retrieval-augmented generation. By harnessing AI across multiple models, we’re not just increasing speed and productivity – we’re enhancing the security, compliance, scalability and reliability of integrations and applications.”

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