Mateusz Urbańczyk Keywords global health food security data analysis AI AI Application Read more about Mateusz Urbańczyk Mateusz Urbańczyk is a Software Architect at Quantitative Engineering Design (QED.ai), a mission-driven company working in global health and food security. He specializes in complex systems and end-to-end data processing pipelines for geospatial and medical data with over 7 years of experience. He finished his M.S. in Computer Science at the University of Wroclaw, with additional research studies at EPFL. Mateusz speaks Polish, English, Spanish and French. He has published research in pure mathematics, and has traveled for work across four continents.
Training on Data Analysis and AI Application for ANR Projects in Cambodia: Estimating Crop Yields Gaps in Rice SDP Project Areas Read more about Training on Data Analysis and AI Application for ANR Projects in Cambodia: Estimating Crop Yields Gaps in Rice SDP Project Areas During the lockdowns and movement restrictions due to the COVID-19 pandemic, Cambodia: Climate Resilient Rice Commercialization Sector Development Program (Rice SDP) explored ways to remotely monitor project implementation with the support of the Global Agriculture and Food Security Program (GAFSP) funding.
Automation and the Inappropriateness of Technology Read more about Automation and the Inappropriateness of Technology This presentation provides an overview of the implications of new AI technologies for democracy and political discourse.
Daron Acemoglu Keywords economics ADB distinguished speaker ICT artificial intelligence AI digital technology automation ADB distinguished speakers Read more about Daron Acemoglu Daron Acemoglu is Elizabeth and James Killian Professor of Economics in the Department of Economics at the Massachusetts Institute of Technology. He has received a BA in economics at the University of York, 1989, M.Sc. in mathematical economics and econometrics at the London School of Economics, 1990, and Ph.D. in economics at the London School of Economics in 1992.
LEAP on Using AI and Satellite to Assess Flooding Impact Read more about LEAP on Using AI and Satellite to Assess Flooding Impact In the third SERD's LEAP Series, EarthPulse's Laura Moreno demonstrated the use of earth observation tools combined with big data to assess the damage by the flooding in Banteay Meanchey, Cambodia in October 2020 and Dili, Timor-Leste in April 2021. SDCC-DT's Paolo Manunta moderated the lively discussion.
Laura Moreno Keywords earthpulse AI flood satellite big data Read more about Laura Moreno Laura holds a Master’s degree in Telecommunication Engineering from Polytechnic University of Catalonia and La Sapienza, Rome. After +15 years in the space market she founded EarthPulse. She is a problem solver by definition and enjoys fusing all kind of data products to fulfill user needs.
Targeting the Poor using Big Data Read more about Targeting the Poor using Big Data The Special Supplement to the Key Indicators for Asia and the Pacific 2020 in September 2020, which discusses how poverty estimates can be mapped through data integration and artificial intelligence, has been widely received for its contribution to ADB’s knowledge initiatives.
Hector Lin Keywords Hector Lin JobKred AI skills anticipation and planning Singapore education Read more about Hector Lin Hector Lin possesses over 10 years of management consulting and training experience. He is a Director at JobKred, a Singapore company that uses Artificial Intelligence and Data Science to help individuals, enterprises, schools and governments stay relevant in today’s VUCA world by providing access to real-time labor market intelligence and implementing cloud-based systems that empower transformation journeys.
Using AI for Skills Anticipation and Planning Read more about Using AI for Skills Anticipation and Planning The presentation emphasized how AI and technology can be applied to help students and individuals access real-time labour market information. Assisted by machine intelligence, educators can empower students to make better informed career decisions and learning choices.
Smart Water Management - The Singapore Experience Read more about Smart Water Management - The Singapore Experience This presentation discussed the driving factors towards Singapore's shift towards intelligent water management and some of the smart solutions and technologies that they are developing and deploying under the Smart PUB Roadmap.