Leverage data as an asset


How does AI in global organizations like the United Nations, World Bank, etc. uses data as an asset.

AI-powered organizations are harnessing data as an asset and scaling human-centric AI in all core business processes. They use rapid, data-driven decision making to improve the experience of the workforce and customers. AI success typically relies on the foundation of a clear and well-communicated strategy, business-led work transformation, documented development standards, an adaptive workforce, and a strong set of ecosystem partners. Work on developing global standards for AI has led to significant developments in various international bodies. These encompass both the technical aspects of AI in global organizations such as the United Nations, World Bank, UNESCO, UNICEF, etc.

The evolution of artificial intelligence in the digital ecosystem

Over the past few years, AI has evolved into one of the most powerful tools in the history of technology to bring machines and humanity closer together. At the time, AI was limited to speculation and fictional stories. But in the modern state, AI is no longer confined to labs and science labs, rather it is part of our daily lives. From search engines, call center chatbots to AI-enabled humanoid robots, there is a whole range of artificial intelligence products and services available in the market, which has not only accelerated the growth of capabilities functional industries, but also improved our existing living conditions. AI is an urgent priority in the modern era. Several organizations and government institutions are categorizing and identifying safe ways to deploy AI in their day-to-day operations and use more advanced technologies to ensure the survival of their citizens.

Covid-19 is one of the main reasons that has boosted the adoption of AI. As more and more government and business institutions focus on digital advancements, the implementation of artificial intelligence applications has emerged as the predominant factor to drive this initiative forward. As society adjusts to new changes post-pandemic, global citizens expect their governments to make digital first a priority. AI is also being integrated into systems to address climate change issues, forecast weather forecasts by scientific organizations, and eradicate food waste, world hunger, and poverty.

For business institutions, AI has helped optimize business operations to make them more productive and efficient. Today, the skill of a business leader is not only to predict the next actions of competitors, but also to keep abreast of the next technological innovation and how it can be implemented to stimulate the business growth. The integration of AI into operational tasks has made senior executives understand the importance of leveraging other advanced technologies such as business analytics, data science, machine learning and SaaS, to perform key operational activities and collaborate across the boundaries of corporate infrastructure and the digital ecosystem.

Pioneers are realizing the importance and significant benefits of AI in this critical data-driven era. In the future, AI and machine learning can radically change the way we think about work, complementing and augmenting human skills. The entire work landscape for the public and private sectors has changed through the implementation of cognitive systems that use feedback loops to perform smarter tasks. It is relevant for all business and government infrastructures to cultivate an AI-driven mindset in the organization, to encourage and incentivize employees to improve their knowledge of emerging technologies as well as advancements in their respective areas.

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Analytics Insight is an influential platform dedicated to ideas, trends and opinions from the world of data-driven technologies. It monitors the developments, recognition and achievements of artificial intelligence, big data and analytics companies across the world.

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