Surabaya, Indonesia – June 5, 2026 – Representatives from academia, industry, and technology communities gathered at Petra Christian University (PCU) in Surabaya, Indonesia, for an industry exchange event focused on artificial intelligence, data analytics, digital transformation, and talent development.
The event brought together business leaders, technology practitioners, and university stakeholders to discuss how organizations can adapt to the rapidly evolving digital landscape, while also preparing future talent for the opportunities and challenges of the AI era.
Industry Talk Show: What Employers Look for in Fresh Graduates
One of the key highlights of the event was the panel discussion, “Industry Insider Talk: What Employers Look for in Fresh Graduates.” The session featured industry leaders including Chase Su, CEO of Guandata, Hanijanto Soewandi, former VP at MicroStrategy Technology, and Soni Hartanto, COO at PT Insera Sena.
During the discussion, Chase Su shared three qualities that he believes are increasingly important for graduates preparing to enter the workplace: curiosity, ownership, and optimism.
According to Su, curiosity enables individuals to continuously learn, ask meaningful questions, and better understand complex challenges. Ownership reflects a willingness to take responsibility, stay committed to outcomes, and proactively overcome obstacles. Optimism, meanwhile, helps individuals remain resilient and adaptable in environments characterized by constant change.
The conversation also highlighted the growing importance of stronger collaboration between universities and industry. As technology evolves rapidly, helping students develop both practical experience and business understanding has become an increasingly important priority for educators and employers alike.
Keynote Session: Modernizing Enterprise Decision-Making with AI-Driven Analytics
Following the panel discussion, Chase Su delivered a keynote presentation titled “Modernizing Enterprise Decision-Making with AI-Driven Analytics.”
During the session, he shared perspectives on how enterprises are evolving from traditional reporting-driven approaches toward more intelligent, data-driven decision-making models. As organizations generate and consume larger volumes of data, the ability to transform information into actionable insights is becoming increasingly important for maintaining operational agility and business competitiveness.
Su also introduced Guandata’s approach to AI-powered analytics and discussed how emerging technologies are helping reduce barriers to data adoption across organizations. By making analytics more accessible to business users, companies can enable faster decision-making and improve collaboration between business and technical teams.
To illustrate these trends, Su shared examples from customer implementations across different industries.
One example highlighted Guandata’s work with TOMORO Coffee, where analytics capabilities were used to support retail operations, improve store management efficiency, and enhance the integration of membership and operational data during rapid business expansion.
Another example focused on Unilever, where data and analytics initiatives supported supply chain modernization efforts by improving inventory management, optimizing logistics operations, and strengthening the connection between operational insights and business actions.
These examples provided attendees with practical perspectives on how AI-powered analytics can be applied across retail, supply chain, and enterprise management scenarios to support business growth and operational excellence.
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