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Many organizations are struggling to take advantage of cloud computing without interrupting their core business and mission. Two years ago, Abt was facing that challenge.

Be it outbreak, epidemic, or pandemic—human or zoonotic—the goal is to get reliable information on infectious diseases, quickly. Abt experts Laura Edwards and Sung-Woo Cho discuss strategies for harnessing machine learning and data visualization to provide actionable information—at scale—that can help stem a health crisis.

Mozambique has the eighth highest HIV prevalence in the world, with 12.6 percent of adults living with HIV, and one of the highest HIV mortality rates. The country has made strides in testing people for HIV and providing treatment. But a high proportion…

How do we defeat tuberculosis? With sustainable solutions. With support from the private sector. With data.

In this month’s episode, Abt experts Jill Berkowitz and Sung-Woo Cho discuss how machine learning can amplify our work combatting malaria—25 million people protected to date—by applying what we’ve learned to other infectious diseases.

One of the most exciting parts of my job is investigating the ways in which new tools and technologies can be used to improve peoples' lives. Blockchain and its related technologies are in a new camp—exciting, but its application’s aren’t yet obvious.