There's a version of this conversation that stays theoretical – data quality matters, governance is important, AI needs the right context. Everyone agrees.
Megaladata at MWC Barcelona 2026
From March 2-5, Megaladata participated in MWC Barcelona 2026 as part of the Armenian IT Pavilion.
Managing Director Samvel Arustamov, along with Sales Representatives Marat Rakhmankulov and Jackob Tonoyan, presented the platform to a global audience and held discussions with industry leaders. The event brought together innovators in telecommunications and digital transformation, welcoming nearly 105,000 attendees and providing a strong platform to showcase Armenian technology on the global stage.
Showcasing Armenian tech innovation
At the Armenian IT Pavilion, we demonstrated Megaladata, a low-code analytics platform that helps organizations process massive datasets quickly and efficiently. Through live demos, we showed how teams can analyze hundreds of millions of records in minutes, streamline complex workflows, and make faster, informed decisions.
Alongside Megaladata, 15 Armenian tech companies presented their solutions, spotlighting key initiatives within the broader ecosystem – including programs led by the Ministry of High-Tech Industry of the Republic of Armenia, Enterprise Armenia, the AI Factory initiative, and Engineering City. The event reinforced Armenia’s growing reputation as a hub for innovation.
Building global connections
MWC Barcelona was a key opportunity to discuss real-world data challenges and how analytics solutions are transforming industries. We are grateful to the Ministry of High-Tech Industry of the Republic of Armenia for supporting Armenian companies in showcasing their technologies on a global stage. To everyone who visited the Armenian stand and engaged with our team, thank you. We look forward to continuing these conversations and fostering new partnerships worldwide.
See also
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About Megaladata
Megaladata is a low code platform for advanced analytics
A solution for a wide range of business problems that require processing large volumes of data, implementing complex logic, and applying machine learning methods.
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