AI Landscape 2026: What Leaders in Asia Pacific Need to Know

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Artificial Intelligence

AI Landscape 2026: What Leaders in Asia Pacific Need to Know

제공 Project Tech4Dev

웨비나 녹화본

이 과정은 만료되었습니다.

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The conversation happening around AI has never been noisier. For leaders in the social sector, distinguishing between hype and practical value is critical.

This session cuts through the clouds of complexity to help you understand what AI actually means for your organisation. We will start with real problems nonprofits face and match them with specific AI tools, like predictive analytics, text processing and workflow automation, helping you visualise what value looks like for your specific mission.

이 과정은 참가자가 다음 내용을 익히도록 설계되었습니다:

Connecting everyday nonprofit challenges to specific AI functions, using real-world examples from across the region to make the technology feel approachable.
Identifying where the most practical value exists today, helping you focus on proven solutions rather than experimental trends.
Navigating the essentials of data security, costs, and ethical oversight to make confident decisions about starting or growing AI projects.

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Stuti Nabazza

Product Marketing Lead

Project Tech4Dev

Stuti Nabazza is a product marketing lead at Project Tech4Dev, where she leads adoption strategy and user education for Dalgo - a data platform for non profits. At Tech4Dev, she works closely with the NGO ecosystem in India to translate operational needs into usable, scalable data solutions. With over four years of experience across SaaS product marketing, tech, and user research, she brings a cross-functional lens to building inclusive, context-aware technology. Her background in sociology and economics informs her approach to bridging technical tools with field realities. Prior to Tech4Dev, she supported growth and positioning efforts at mission-driven startups.

Pratiksha Rao

Data & AI Engineer

Pratiksha Rao is a Data and AI Engineer at Dalgo, where she works as a consultant with nonprofit organizations across diverse contexts and use cases. She partners closely with NGO teams to design and implement end-to-end data pipelines, supporting the full data lifecycle from data collection and ingestion to transformation, analysis, and insight generation.

With experience across data engineering and applied AI, Pratiksha brings a pragmatic, problem-solving approach to building systems that are both technically robust and usable by non-technical teams. At Dalgo, she works directly with program, MEL, and leadership teams to consolidate fragmented data sources, improve data quality, and enable actionable, decision-ready insights while staying grounded in real-world operational constraints.