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Spire Data Partners With Krista Soft To Provide AI-Driven Intelligent Automation To Enterprises In MEA

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By Ron Chen, Senior Correspondent, ASEAN Region

An emerging leader in data analytics and governance in the Middle East and Africa region, Spire Data has partnered with Krista Software, a leading AI-led intelligent automation solution provider. The partnership will see “Krista”, Krista Software’s AI-led automation platform being delivered through Spire’s big data portfolio to enterprise customers for automating business processes, improving efficiency, and reducing costs.

Krista is a modern intelligent automation platform designed to easily leverage existing IT assets and SaaS apps in automated business workflows. Krista’s unique approach enables business process owners to quickly build new automation without having to wait for expensive IT resources. Creating automation in Krista is as simple as describing a conversation between people and apps.

Head of Business at Spire Data, Tausif Sayyed said: “There’s a growing need for organizations to find a balance between reducing operational costs while increasing productivity. We are excited to partner with Krista Software to help achieve this by orchestrating people, apps, and AI with their world-class intelligent automation technology. By combining Spire Data’s capabilities with Krista’s technology, we will offer a highly efficient method to deploy AI organization-wide and across several functions.”

“The market is ripe for enterprise-wide adoption of automation in the MEA region,” said VP of APJ and MEA regions at Krista Software, Kiran Karri. “Krista is perfectly suited for diverse and complex business environments that customers in MEA have, and together with Spire, we will alleviate their automation challenges.”

Spire Data helps governments and businesses reduce costs, increase efficiency, enhance experiences and generate more business by implementing solutions and services related to big data, artificial intelligence, and machine learning. Spire Data focuses on the end-to-end data journey including strategy, governance, platform, architecture, advanced analytics, intelligent automation, and BI augmented analytics.

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