Announcing Evidencebase.ai - Integrated Conversational AI Solutions
Over the past year, we’ve written a bit about our efforts to keep up with the pace of conversational AI solutions. It seems like just yesterday we were all trying to figure out how natural language processing and image classification could create new efficiencies for projects trying to tackle some of the world's most pressing challenges. However, the beginning of 2023 saw an explosion of interest in AI, largely thanks to the impressive capabilities of large language models. While these tools may offer a series of efficiencies in the realm of text generation, they’re not without faults.
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.
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.
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.