SMART GROWTH AND ECONOMIC SUCCESS: STRATEGIES FOR LOCAL GOVERNMENTS

whitePaper | February 3, 2020

Protecting sensitive data and maintaining cybersecurity hygiene are top concerns for security professionals and CISOs from state and local government agencies. Government networks contain sensitive data such as social security numbers, voter registration, medical records, bank account and credit card numbers of millions of people and businesses, which can make them an attractive target for bad actors. With the increasing sophistication of cyberattacks and the lack of resources at their disposal, the IT departments across these agencies are looking for a solution that enables them to do more with less. We built Duo to be a simple, affordable and secure solution to help government agencies – and organizations of all sizes – solve to these problems.

whitePaper | May 25, 2022

On 22 July 1994, then 29-year-old army lieutenant Yahya Abdul-Aziz Jemus Junkung Jammeh came to power through a military coup d’état – having ousted the democratically elected President Sir Dawda Kairaba Jawara. For 22 years, Yahya Jammeh ruled The Gambia with an iron fist. During his regime, extrajudicial killings, rape, torture, enforced disappearances, and numerous grievous human rights violations became part and parcel of his military Junta.

whitePaper | June 30, 2020

There’s no arguing that preventing failures and accidents is critical for industry. Unexpected incidents can grind operations to a halt for extended periods of time and necessitate expensive repairs. For example, just 12 hours of downtime for an oil production platform could cost six to eight million dollars in lost production opportunity alone. A single day of grounding for a plane costs roughly four to five million dollars. Because of these disruptions, industrial sectors are always on the lookout for newer, better maintenance methods, and the approach on everyone’s lips right now is predictive maintenance.

whitePaper | March 15, 2023

How Federal Agencies leverage data for decision making is changing. Historical transaction reporting and static batch data analyses are giving way to predictive data science, streaming analytics, machine learning (ML), and artificial intelligence (AI). Agencies are embracing these new paradigms for more informed, real-time decisions to impact business, operations, and agency performance.

whitePaper | March 16, 2022

A long-term commitment to sustained federal research and development (R&D) funding in AI is critical to advance the United States’ leadership in global innovation. The federal government should increase non-defense investment in AI and basic research to strengthen research in critical fields of AI R&D, including healthcare, education, finance, and more, that underpin economic stability and robust growth. Such investment should reflect a multidisciplinary approach, focused on advancing basic and applied R&D, research on AI governance and norm-setting, and supporting research infrastructure with multi-agency collaboration.

whitePaper | March 3, 2020

Artificial intelligence (AI) systems have raised concerns in the public—some speculative and some based in contemporary experience. Some of these concerns overlap with concerns about privacy of data, some relate to the effectiveness of AI systems and some relate to the possibility of the misapplication of the technology. At the same time, the development of AI technology is seen as a matter of national priority, and fears of losing the “AI technology race” fuel national efforts to support its development.