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Exabytes Targets One Million Businesses With New AI Strategy

The company is launching a major initiative to help Southeast Asian enterprises transition from pilot programs to full-scale AI implementation.

Exabytes has officially launched GROW AI at the Exabytes GROW AI Summit 2026 in Kuala Lumpur. This strategic initiative aims to empower one million businesses by 2030, marking a transition in the company’s focus from building digital presences to enabling the secure and practical adoption of artificial intelligence at scale.

The strategy represents the next phase of the company’s long-running GROW Digital mission. According to the original publisher, the initiative is designed to assist organizations in moving beyond fragmented AI tools and isolated pilot projects. Instead, the focus is on achieving enterprise-wide implementation through integrated AI applications that enhance operational performance, decision-making, customer engagement, and overall productivity.

To facilitate this transition, Exabytes has entered into a three-year partnership with Aurora Mobile. This collaboration is intended to deliver enterprise AI solutions across Southeast Asia, leveraging the combined strengths of both companies to support businesses in their digital transformation journeys.

The GROW AI framework is built upon the principles of Reliable, Accessible, Scalable, and AI-driven, known as RASA. This integrated approach combines Exabytes’ existing capabilities across several key areas, including cloud infrastructure, cybersecurity, eCommerce, business applications, workplace productivity, and automation.

For the Malaysian business landscape, this move signifies a shift toward more sophisticated technology adoption. As local companies look to remain competitive in a digital-first economy, the availability of scalable enterprise AI tools may prove essential in moving beyond initial experimentation toward long-term, high-impact operational improvements.

Source

Originally reported by Digital News Asia. Read the original report →

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