DOST and DICT’s AI Plans: How to Read the Integration Roadmap
A researched guide to DOST’s NAIS-PH, DICT’s AI infrastructure masterplan and the stages separating strategy, funding, pilots and operating services.
KOOYA / AI DIGEST / MANILA
DOST, DICT and the route from national plans to research, pilots and working services.
Browse the library ↓A READING GUIDE / BY KOOYA
DOST and DICT coverage becomes easier to use when each announcement is placed at its actual stage. A strategy sets priorities. A funding call defines an opportunity and eligibility rules. A research project tests an approach. None of those, by itself, tells an organization that a production service is ready to adopt.
Our series follows that chain through shared computing, regional adoption, commercialization and sector projects. Use it to form a concrete inquiry: which office owns the work, what evidence is public, what access is available, and who would maintain the result after a pilot?
The articles cite the underlying institutions and distinguish published plans from completed work. Application windows, access arrangements and project status can change. Follow the cited official source for the current operational answer; this collection is Kooya’s analysis, not an official government portal.
Separate the intended direction from its delivery mechanism. Look for an accountable owner, funding or infrastructure, a defined pilot and evidence of operational use before treating a priority as an available service.
Read the integration roadmap ↗Computing capacity, research connectivity and reusable model services solve different problems. Access requirements and platform maturity affect what a team can realistically plan.
Compare the infrastructure roles ↗An adoption plan still needs maintenance, acceptance evidence and a responsible operator. Research, commercialization and financing pathways should be checked separately, including their current eligibility and application windows.
Understand funding and commercialization ↗Start with a relevant sector, then assess the evidence and adoption conditions.
Follow the institutional foundation, shared resources and route beyond a grant.
Showing 1–9 of 9 articles
A researched guide to DOST’s NAIS-PH, DICT’s AI infrastructure masterplan and the stages separating strategy, funding, pilots and operating services.
A practical guide to DOST shared AI infrastructure: COARE research computing, PREGINET connectivity, DIMER public beta and responsible access planning.
How DOST-PCAARRD’s pest recognition, agricultural data and aquaculture projects reveal the practical work behind integrating AI into Philippine farming.
A source-based look at DOST health AI: AYUHON’s pediatric research, PASYENTE user testing and the ASEAN regional plan still awaiting endorsement.
DOST regional AI adoption: Western Visayas planning and Caraga’s reported training for 380 MSMEs, with a framework for measuring what happens after training.
Understand how GODDESS, CRADLE and TECHNiCOM relate to AI research and commercialization, with verified call-status cautions and proposal preparation advice.
How DOST is integrating AI4RP weather forecasting, GATES data infrastructure and Handa disaster information—and what local adoption still needs.
What DOST's 2026 launch of NAICRI means for Philippine AI research, infrastructure, companies, and builders.
A 2026 field brief on Philippine AI strategy, DOST investment, the digital economy, and what business leaders should do next.