There is more than just a passing methodological debate at stake in the question over what went wrong in the predictive models
In the U.S. today, we invest over $6T/year in solutions to social problems. We fund thousands of social programs and charities, but we don't know which interventions work the best. We're spending billions on evaluation, but we're not systematically learning why some programs work and others don't.
In the nonprofit and public sector we invest first, and then measure to see what we got. That may be a key reason why we aren't making as much progress as we could be. Predicting the success of social programs before we fund them holds great promise for the future of social impact
Making use of machine learning technology as a business sounds cutting edge, but as a business it's not easy to navigate and know what to look for in a nascent industry.
Hey, all you millennial marketers, take note--it wasn't always this easy. Literally, one recent high-school graduate ago (17-ish years), Google Adwords reps were knocking down doors at marketing firms across the United States, giving CEOs a sales pitch about keyword-rich content, closing face-to-face transactions, and returning a month later with graphs and charts galore to highlight new search results.
Embrace Netflix Recommendations: Predictive Sales Analytics Predictive analytics, or advanced big data technologies that
What the three groups need to learn is strikingly similar in nature and depends squarely on the organization's level of ambition
Science and research tell us that healthy eating and positive lifestyle habits are the most beneficial ways to living a life
We believe that the future of SIBs and social finance is brighter than ever. But if we are to create a true social capital market, we must be more rigorous, intentional and outcomes-driven than the current approaches.
Many consider randomized control trials, or RCTs, to be the "gold standard" for evidence. Randomization provides a high degree of proof for a very narrow set of facts: a particular program, under a particular set of conditions, for a particular population of people, at a particular time, made a difference.
What about data silos? In the world of modern applications, data silos are definitely not a help to application developers
It may take years for a new generation of women to move through the higher education journey and take on leadership positions in STEM fields. But with the increase in public interest and the efforts of women in top corporate and academic roles, the odds of narrowing the gap look hopeful.
"There are only so many PhDs." H2O.ai's Vinod Iyengar is another player in ML market. He's Director of Marketing for the
Predictions are typically shared in the form of dashboards or alerts. Customers can see things like which accounts are in
Investment risk management. Whether you are contemplating an investment in your favorite startup, or a little-known stock