Emerge Stronger and More Resilient: Responding to COVID-19 and Preparing for Future Shocks

Moreover, collective strategies have led to identification and resolution of challenges in way that brings together government leaders, scientists, data analysts, health care organizations, academic institutions, and industry.

Creating Public Value using the AI-Driven Internet of Things

Government agencies seek to deliver quality services in increasingly dynamic and complex environments. However, outdated infrastructures—and a shortage of systems that collect and use massive real-time data—make it challenging for the agencies to fulfill their missions. Governments have a tremendous opportunity to transform public services using the “Internet of Things” (IoT) to provide situationspecific and real-time data, which can improve decision-making and optimize operational effectiveness.

COVID-19 and its Impact: Seven Essays on Reframing Government Management and Operations

In re-framing government management and operations, this compendium of seven essays highlights several key themes:

The Rise of the Sustainable Enterprise

This report finds that sustainability is no longer just a social responsibility (CSR) issue—it’s an organizational imperative for business and government enterprises. Opportunities and risks related to the environment now challenge the strategies and operating models of organizations across all sectors and functions. In fact, environmental choices, as a subset of a broader sustainability agenda, increasingly define strategy for leading organizations.  

Innovation and Emerging Technologies in Government: Keys to Success

The obstacles to implementing technological innovation in government often have less to do with hardware and software than people and processes. How can leaders recognize the need for new technology? How do innovators find funding and put the pieces in place to test a new idea? How does an agency define and measure success?

Risk Management in the AI Era: Navigating the Opportunities and Challenges of AI Tools in the Public Sector

Business leaders are rushing to take advantages of the benefits that can be brought to a wide array of industries to help increase productivity. Government leaders are also moving forward, but with appropriate caution. When considering the use and application of AI related technologies, government leaders weigh different factors than their private sector counterparts.

Preparing the Next Generation of Federal Leaders: Agency-Based Leadership Development Programs

Successful leaders envision, shape, and safeguard the future, creating clarity amidst uncertainty. This objective is increasingly difficult in an era where rapid, unforeseen change seems constant. Agencies face serious public management challenges that go to the core of effective governance and leadership, requiring innovation, collaboration, flexibility, and understanding of the capacity needed to tackle complex, non-routine challenges.

More Than Meets AI: Part II

AI can increase operational efficiency and effectiveness, free employees of repetitive tasks, uncover new data insights, and enhance service delivery to customers. While they take advantage of these benefits, federal agencies must also manage real and perceived risks associated with AI to build trust in these technologies.

Managing Cybersecurity Risk in Government

As a result, cyber is increasingly being viewed as a key component in enterprise risk management (ERM) frameworks. At the same time, agency managers encounter the challenge of implementing cyber risk management by selecting from a complex array of security controls that reflect a variety of technical, operational, and managerial perspectives.

Delivering Artificial Intelligence in Government: Challenges and Opportunities

The author takes this real-world experience to set forth a framework for agencies to plan, develop, and deploy AI systems. He then puts forward a set of challenges for government leaders and innovators in this space, along with opportunities for agencies to act in addressing these challenges. Finally, Desouza outlines a maturity model for agencies to use in guiding their journey forward in applying AI to improve mission performance.

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