Sinag Solutions marked its 13th anniversary by boldly challenging conventional thinking—both in numerology and technological innovation. As a homegrown leader in digital transformation, the company brought together top industry professionals for an exclusive seminar, exploring practical strategies for AI adoption in business.
Francis Uy, CEO of Sinag Solutions, addressed society’s irrational fears of the number 13, likening them to widespread misconceptions about artificial intelligence. Drawing from his early work with Prolog chess algorithms at the University of the Philippines, he underscored how AI has been evolving over decades. Uy noted that while today’s large language models present groundbreaking potential, they also pose new challenges requiring careful navigation.
Panelists emphasized the critical importance of governance and context in AI application:
AI regulation—especially the EU AI Act, with penalties of up to €35 million—must be central to any AI strategy.
Case studies in healthcare showed AI’s utility in interpreting medical results, paired with warnings about overreliance.
Industry concerns surfaced around algorithmic bias, highlighting the need for data that accurately reflects local populations.
In retail, innovations like Spotify’s AI DJ were cited as success stories in personalization.
Uy cautioned against hasty, broad AI rollouts: “Many companies rush into enterprise-wide transformations when they should start with focused pilots that allow for learning and adjustment.”
Expert Voices, Real-World Impact
Omar Dapul, CEO of Deepfaic, sounded the alarm on advanced AI threats:
> “Deepfakes aren’t just videos—audio scams are exploding. Imagine a voice clone stealing your identity over a call. Our tools give enterprises a fighting chance.”
David Rosario of Katapult Digital highlighted the value of simple AI tweaks:
> “Adding plain-text explanations to dashboards boosted an airline’s ad returns by 13%. Sometimes, the simplest AI fix unlocks millions.”
Arup Maity, President of Xamun, focused on reducing complexity:
> “Enterprises don’t need more code—they need clarity. Our AI co-pilot ensures every requirement translates to working software, one step at a time.”
Dr. Ezekiel Bernardo, Human‑AI Interaction Researcher at DLSU, emphasized trust through transparency:
> “People adopt AI when it feels transparent, not just accurate. A well‑designed explanation can increase trust by 70%—emotions drive adoption.”
Charting the Path Forward
As the seminar concluded, five essential themes emerged for responsible AI adoption:
1. Embed regulatory compliance in every AI initiative.
2. Use high-quality, local data to ensure relevance and fairness.
3. Begin with focused pilot projects to test and learn.
4. Maintain human oversight, even as automation grows.
5. Partner with expert enterprise architects for safer, faster implementation.
With a 13-year legacy of pushing technological boundaries, Sinag Solutions remains a respected voice in responsible, impactful AI. As an Open Group Awardee for its pandemic-era work, the company continues to drive national progress: “We measure impact not just in technology deployments, but in how we’re helping build our nation.”
