IDinsight Chief Data Scientist Sid Ravinutala published a blog post titled AI models are getting better, but they still need the right information to give reliable answers, making it more accurate, more useful, and easier for any organisation to build on.

IDinsight helps leaders combat poverty worldwide by designing, deploying and promoting evidence-generating tools. We tailor the best methodologies to partner needs and constraints to fuse evidence with action. We serve governments, NGOs, foundations and social businesses across Africa and Asia in all major program areas including health, education, agriculture, livelihoods, finance, energy and governance. Our approach rests on four pillars: 1. Rigorous: We develop and use a wide-range of cutting edge data and evidence tools, including experimental evaluations, monitoring systems, data analytics and visualization, process evaluations, machine learning and more. 2. Cost-effective: Every dollar spent is justified by expected impact. If funds could be better used in another way, we say so. 3. Timely: Actionable information is delivered in time for client decision-making deadlines. 4. Demand-driven: We deploy solutions tailored to partner contexts and needs with no competing agendas. Our diverse, growing team of over 200 outstanding colleagues operate in nearly two dozen countries around the world. Learn more at www.IDinsight.org.