Meet Ona at ICT4D 2018 in Lusaka, Zambia

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ICT4D banner

We are excited to announce that Ona will be at the ICT4D Conference in Lusaka from May 8–10, 2018. We will be represented by our CEO, Matt Berg, Director of Client Solutions, Erick Ngwiri, and Health Solutions Lead, Carolyn Gulas.

Visit us at the exhibition area at the Mulungushi International Conference Center (MICC) in Lusaka to learn more about our industry leading data collection platform, Ona, and the open source mHealth platform we support, OpenSRP. You can also learn more about of our latest offering, Canopy, an enterprise analytics solution designed to meet the specific needs of humanitarian and development groups.

Learn directly from our team how Ona works with humanitarian, government, and UN organizations all over the world to address some of the world’s great challenges through our end-to-end data solutions. Email us now to schedule a one-on-one discussion around your specific needs or to book a dedicated demo of any of our tools.

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Bill Gates gives a demo of mSpray at Malaria Summit 2018

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Today we were humbled and amazed to see Bill Gates demo our work on mSpray, and describe it as pioneering! mSpray is a tool we developed with Akros in Zambia. With mSpray, we’ve shown that we can reduce malaria by 22% — that’s a 15% increase over traditional indoor residual spraying (IRS) programs. Using these same surveillance strategies we believe we can have a major impact with child immunization.

Find this video on social media:

If you are interested in exploring these opportunities with us, we’d love to hear from you partners@ona.io


General Data Protection Regulation at Ona

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GDPR at Ona

The EU has introduced important new data privacy legislation called General Data Protection Regulation (GDPR) that will go in effect May 25th. This new sweeping regulation, introduced to strengthen the privacy rights of EU citizens, represents important new data protection guidelines that all organizations working on the internet should be aware of. GDPR is meant to protect personal data and how organizations process, store and destroy this data. It applies to anyone collecting data on EU citizens (even inadvertently) and threatens steep financial penalties for non-compliance.

Since the new legislation was announced, we’ve had a lot of questions from our users on what this means and if the Ona data service would be compliant. At Ona, the security and privacy of our users and the data they collect has always been our top priority, and we are fully committed to complying to GDPR. For the past few months, our team has been working diligently to plan for GDPR and ensure our product offerings and terms of service will be compliant with these new regulations.

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See us at the USAID Digital Development Forum in DC

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USAID Digital Development Conference 2018

Ona is excited to be participating in the USAID Digital Development Forum: The Next 10 Years. The event brings together over 150 thought leaders, experts, practitioners, and innovators to discuss how organizations can tackle the development challenges by adopting information and communication technologies.

We will have a demo table set up in Academy Hall where we’ll talk about Ona, our namesake data collection tool built for the development sector. We’ll also be introducing Canopy, a new initiative from our team dedicated to bringing enterprise data management solutions to development.

Information about the event

When: March 9, 8:30am to 5pm + evening reception

Where: FHI 360 Academy Hall, Washington, DC - Google Maps


Using Deep Learning to Predict Water Point functionality from an Image

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An essential part of ensuring that people have equitable access to services is being able to quickly and continuously assess whether those services are functioning properly. If your government provides health care it needs to know those clinics are open, if it provides public bus services it needs to know those buses are running on time, and if it provides water access it needs to know that water is flowing.

By training a deep learning model we are able to predict, from an image, whether a water point is functional or not with around 80% accuracy. Analyzing network activations shows that the model appears to be identifying a latent structure in the images. Given this, we expect the prediction accuracy to increase as the dataset expands.

model performance

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