Understanding Artificial Intelligence

24-5-2019 | 0
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AI is the science of training systems to emulate specific human tasks through learning and automation. In short, it’s a technology that makes it possible for machines to learn from experience, adjust to new inputs and perform specific human tasks, such as pattern recognition, finding anomalies in data, image and video analytics, and more. Specific to analytics, AI can help analytics programs in government find connections and trends in the data that human analysts might miss due to scale, complexity, or other factors … and it can do it at a much faster speed. AI can find context in data, gaining insight from previous discoveries to create better outcomes in the future. From an analytics perspective, AI tends to focus in these areas:

  • Machine learning: Machine learning and deep learning find insights hidden in data without explicitly being told where to look or what to conclude. This results in better, faster and more accurate decision-making capabilities.
  • Natural Language Processing: NLP enables understanding, interaction and communication between humans and machines, automatically extracting insights and emerging trends from large amounts of structured and unstructured content.
  • Computer vision: Computer vision analyzes and interprets what’s in an image or video through image processing, image recognition and object detection.
  • Forecasting and optimization: Forecasting helps predict future outcomes, while optimization delivers the best results given resource constraints. This includes:
    • Enabling large-scale automation for predicting outcomes and optimizing decisions.
    • Ultimately, this is all based on the idea that systems can learn from data and identify patterns to make decisions with minimal human intervention.
    • The Value Proposition for Government.
    • What these capabilities do is make sense of large amounts of data quickly and efficiently. These insights can be used in almost every aspect of government from improving operations and management to determining the value of programs and finding underserved segments of the population that need additional assistance.
    • AI is already widely used in every sector of the economy. Private businesses use these solutions to find efficiencies in their own business and improve the return-on-investment of products and projects. Government agencies on all levels have begun to utilize it as well, using

AI in a vast array of applications, including:

  • Automatically detecting fraud and improper payments before money goes out the door, and ensuring that benefit agency funds and services go to those who really need them.
  • Enabling public safety agencies to make sure the things citizens consume—like food and medicine—are safe.
  • Empowering law enforcement and criminal justice agencies to improve efficiency and consistency across cases.
  • The Federal Data Strategy is incredibly important. Its goal is to build a strategy that will transform how the government operates and delivers services.

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