Can LLMs Reliably Support Domain-Specific Research?
In our previous blog, we delved into advancements in data management and analysis tools with Microsoft Fabric and Copilot in Power BI. As we continue on this journey of harnessing the rapid evolution of machine learning and artificial intelligence for international development projects, we now shift our focus to the transformative capabilities of Large Language Models (LLMs) and their potential impact on domain-specific applications. In doing so, it is essential to acknowledge that text-focused machine learning has been a subject of research and development for several years. From sentiment analysis to text classification, our daily digital experiences are heavily shaped by computers’ abilities to understand text. However, the recent breakthroughs in LLMs, such as ChatGPT and others, have propelled the field forward, enabling us to explore new possibilities in understanding and processing language.
What Microsoft Fabric and Copilot Mean for International Development Programs
Business intelligence tools have long been recognized for their potential to transform decision-making processes. However, the steep learning curve associated with many of these tools often poses significant challenges for organizations, hindering their ability to fully capitalize on the power of their data. Microsoft's recent unveiling of Microsoft Fabric and Copilot in Power BI signals a potential breakthrough in this landscape. These tools not only promise advanced capabilities in data integration, analytics, and insight generation, but they also bring a new level of user-friendliness to the table.
Enhancing Water Quality Monitoring in the Chesapeake Bay Watershed
Water quality is a crucial concern in the Chesapeake Bay watershed, requiring regular testing to ensure the well-being and sustainability of this vital ecosystem. This summer, we are excited to collaborate with Spa Creek Conservancy and Anne Arundel Community College to manage weekly water testing in the region through the development and management of a mobile data collection and analysis toolkit.
Exchange.Design and FFP Announce Partnership
We are excited to announce our new partnership with The Fund for Peace, a leading organization in the field of conflict resolution and prevention. Our collaboration will focus on data-aligned decision-making in international development programs, with the goal of improving the effectiveness of these programs through local leadership and ultimately leading to more positive outcomes for the communities they serve.
The Rise of Low Code Tools: Benefits and Drawbacks
Low code tools have emerged as a powerful tool in the world of software development. These platforms allow users to develop software applications with minimal coding skills, reducing the need for specialized developers and potentially speeding up the development process. Low code tools have been gaining popularity in recent years due to their ease of use and rapid application development capabilities, and they are increasingly being used in international development programs. However, before diving into low code solutions, it's important to weigh their pros and cons.
Exchange.Design and GeoPoll Announce Partnership
International development programs often struggle to effectively address complex challenges in the communities they serve. With limited resources, it can be difficult to determine where to allocate funds and how to measure project impact over time. To help address these challenges, Exchange.Design has recently partnered with GeoPoll, a global leader in survey research and data collection, to improve data-aligned decision-making.
Five Key Factors for Successful ML Integration in International Development
Machine learning (ML) has been a widely discussed topic in the development sector due to its potential to transform how organizations approach complex problems. The integration of ML into international development work can help organizations to make more informed decisions, reduce costs, and optimize resources. However, integrating ML into an organization's work can be a complex and challenging process. In this article, we will discuss five considerations that international development organizations can take to prepare for ML integration.
Unlocking the Power of Spatial Data: Building Maps with Multiple Layers
Choropleth maps are a valuable tool for understanding geographic regions and the patterns of data that exist within them. This is particularly relevant in the field of international development, where researchers and policymakers often need to understand the distribution of resources, poverty, or development indicators across different countries or regions. Choropleth maps allow us to visualize this data and identify areas that may require more attention or resources.
Greg Maly Joins Exchange Design As Chief Technology Officer
Greg Maly joined Exchange Design as Chief Technology Officer, where he will be responsible for building data solutions for digital transformation with partner. Formerly the Associate Director of Product Development & Data Science at DAI, Greg will lead a team to provide data-informed strategy development, integrated dashboards for decision-making, AI/ML readiness assessments, and global primary data collection.
Four Takeaways from the Anne Arundel Youth Environmental Action Summit
Anne Arundel Community College hosted the Youth Environmental Action Summit (AAYEAS) on Saturday, February 11th. The AAYEAS was an event that engaged high school students wanting to get more involved in climate action and climate resilience initiatives. Participating students had the opportunity to connect with environmental action experts, network with professionals in climate-related fields, and learn more about student environmental action from their peers.