Optimal information and knowledge management is crucial for organizations to achieve their objectives efficiently. As a rare and valuable resource, effective knowledge management provides a strategic advantage and has become a key determinant of organizational success. The study aims to identify critical success and failure factors for implementing knowledge management systems in government organizations. This research employs a descriptive survey methodology, collecting data through random interviews and questionnaires. The study highlights the critical success factors for knowledge management systems in government organizations, including cooperation, an open atmosphere, staff training, creativity and innovation, removal of organizational constraints, reward policies, role modeling, and focus. Conversely, failure to consider formality, staff participation, collaboration technologies, network and hardware infrastructure, complexity, IT staff, and trust can pose significant obstacles to successful implementation.

Government organizations can implement computer vision in smart cities to maintain social distancing and avoid stampedes and other disasters in crowded areas. As the global population continues to grow at an alarming rate, crowd management becomes an increasingly challenging task. The global population is reportedly projected to reach 8 billion in 2025. Global trends also indicate that the population in urban areas has been growing steadily over several years. This suggests crowd management can be even more difficult in urban areas.

The fact that governments are serious about AI adoption is also reflected in the increasing share of AI investments--84% of agencies believe their AI investments will increase by 6% or more in the next fiscal year.4 With budget analysis showing that US Federal funding for AI research and development alone is expected to have already grown by nearly 50% to more than US$6 billion in FY 2021, government leaders are clearly bullish on AI.5As a result, they are making significant investments and exploring new AI projects. With enthusiasm and a growing pool of resources, many government organizations have launched pilots to explore how AI can help their organizations. Government organizations are exploring a range of AI use cases from speech recognition to predictive maintenance. Government sectors such as defense and health that have a long history of AI experimentation are among the leaders in fields such as responsible AI and data-sharing.

Algorithmic Decision Making (ADM) has permeated all aspects of society. Government organizations are also affected by this trend. However, the use of ADM has been getting negative attention from the public, media, and interest groups. There is little to no actionable guidelines for government organizations to create positive impact through ADM. In this case study, we examined eight municipal organizations in the Netherlands regarding their actual and intended use of ADM. We interviewed key personnel and decision makers. Our results show that municipalities mostly use ADM in an ad hoc manner, and they have not systematically defined or institutionalized a data science process yet. They operate risk averse, and they clearly express the need for cooperation, guidance, and even supervision at the national level. Third parties, mostly commercial, are often involved in the ADM development lifecycle, without systematic governance. Communication on the use of ADM is generally responsive to negative attention from the media and public. There are strong indications for the need of an ADM governance framework. In this paper, we present our findings in detail, along with actionable insights on governance, communication, and performance evaluation of ADM systems.

The business use cases for chatbots are nearly endless, but there are also interesting and impactful ways that chatbots can be used for social good around the world. In particular, our favourite technology is a fantastic medium for improving access to much-needed education in emerging international markets. In many emerging markets access to a smartphone is much more common than access to a laptop or desktop computer. And while there are still gaps in ownership between the women and men of some emerging markets, many people will share a smartphone in order to access the apps and information they require. In order to improve access to education and support services, the smartphone will play a crucial role.

"The global AI agenda: Promise, reality, and a future of data sharing" is an MIT Technology Review Insights report produced in partnership with Genesys and Philips. It was developed through a global survey conducted in January and February 2020 of over 1,000 executives across 11 different sectors and a series of interviews with experts having specific responsibility for or knowledge of AI. The article below is an extract of the full report. This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review's editorial staff.

Artificial intelligence (AI) will disrupt an enormous breadth of business sectors and change companies, organizations and societies. Artificial intelligence is relied upon to bring significant positive effects, as well as the risks and potential traps. The European Union member states as of late signed a Declaration of cooperation on AI to ensure the EU's competitiveness in this field and manage potential challenges emerging from it. The European Commission is likewise boosting funding on the side of AI with the point of expanding in increasing overall investment in it to in any event 20 billion Euros by 2020. For nations, it is of foremost significance to be prepared to receive the benefits of AI.

Is your agency ready for artificial intelligence (AI)? If not, what would it take to get to a place where it can enjoy the benefits of AI? A government agency's readiness for AI is not simply a question of preparing to buy and install new technology. The transformative nature of AI typically calls for preparation across multiple critical areas. To capture AI's potential to create value, government organizations will need a plan to retool the relevant existing processes, upskill or hire key staff, refine approaches toward partnership, and develop the necessary data and technical infrastructure to deploy AI.

As consumers, we experience the benefits of artificial intelligence in our lives as it seamlessly integrates into our daily activities. We are aware of the potential for this technology to transform our organizations in a similar fashion, but still struggle to identify where and how we can use it to generate business value. This has certainly been the trend for some time, but artificial intelligence is now a fundamental requirement for the success of your organization. It is no longer an option. Those that can leverage it will survive and thrive, while those that are unable or unwilling will fall far behind.

Gartner, Inc. has identified the top 10 government technology trends for 2019-2020 that have the potential to optimize or transform public services. Government CIOs should include these trends in their strategic planning over the next 12 to 18 months. Gartner's top 10 strategic technology trends for government were selected in response to pressing public policy goals and business needs of government organizations in jurisdictions around the globe. They fit into a broader set of macrotrends that demand the attention of today's government leaders, including social instability, perpetual austerity, an aging population, rising populism and the need to support sustainability goals. "Now more than ever, technology priorities must be established in the context of business trends such as digital equity, ethics and privacy, widening generational chasms and the need for institutional agility," said Rick Howard, research vice president at Gartner.