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Data Science Session 1 1

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Copyright © Global Tech Council How AI and Ml can help in Transformation Governance Don’t we just hate how slow and unsafe governance is Isn’t it frustrating to realise that most of the times your data is not secure Isn’t it unsettling to wait in queues to receive a one-liner response to your query 2

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Copyright © Global Tech Council Artificial intelligence and machine learning can provide a solution for all these things. Here’s how: Governance includes managing and handling of functions of a state involving interference and keen monitoring by the government. Artificial intelligence and machine learning now play an important role in identifying challenges and addressing concerns. Some of the compelling examples are identifying tax-evasion sorting or managing data and prioritising child welfare cases. These activities help the government improve the efficiency of results and reduce costs. 3

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Copyright © Global Tech Council However the essential aspect of using both ML and AI is accurate algorithms. These algorithms should be relevant stable and effective. Small changes in the environment should not lead to huge changes in the outcomes. Further public sector entities are required to pay close attention to the implementation of these algorithms. With which it would not be possible to minimise risks. 4

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Copyright © Global Tech Council Education In education AI is specifically used for enhanced decision making personalised training and advanced progress monitoring. ·Through AI students can make decisions regarding the courses. The same manner in which e-commerce websites analyse data to give recommendations AI is used in education to recommend university courses to students. 5

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Copyright © Global Tech Council · Machine learning can scroll through previous years’ data of students to monitor their overall progress. After feeding several sets of data to this algorithm it is possible to accurately judge the performance of different students and suggest different improvement methods. · Many times different students require different types of learning. AI and Ml both encourage personalised training and learning methods that invoke high interest in students which automatically improves productivity. 6

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Copyright © Global Tech Council Law In law AI and ML are used for predictive analysis robo cops monitoring and patrol cars. While enforcement of AI in law is still in its initial stages the technology will grow in the coming years. · By feeding datasets to the machine learning algorithm law enforcements can judge and predict future criminal activities. Based on current data and continuous present-data monitoring helps ML algorithms to detect criminal activities sooner than later. 7

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Copyright © Global Tech Council Through facial recognition law authorities can quickly check the criminal record of a person. Whenever a police person detects a criminal he or she can click a picture run it through the app and check the whole criminal history of this person. This helps in rapid decision making. 8

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Copyright © Global Tech Council Defense In defense AI is utilized for cyber defense and intelligence. Using technology defense forces would be able to prevent cyber attacks and track activities. · Using AI-enabled cybersecurity systems enable defense forces to track criminal activities online. This also helps in preventing attacks on government systems. · Defense forces can use intelligent weapons such as drones and other armed or monitoring weapons. 9

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Copyright © Global Tech Council Functions There are several other governance functions that are currently using artificial intelligence and machine learning. · E-governance portals for citizens to quickly carry out certain activities online without any hassle. · 10

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Copyright © Global Tech Council Agriculture support for farmers using ML algorithms to decide right soil type and time for the crop. · ML and AI have an enhanced used in document management which takes a lot of time in government organizations. Automating this activity can greatly reduce the workload. 11

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Copyright © Global Tech Council Additional Advantages There are some simple and obvious yet valuable advantages of machine learning and artificial intelligence. · AI has resolved the issue of resource storage and searching. With AI it is possible to save relevant records without error. It is also possible to search through these records in minutes. Cognitive technologies have improved searches and storage patterns. 12

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Copyright © Global Tech Council ·AI-powered chatbots are now capable of answering citizen queries. Think of how chatbots help us place an order or resolve an issue. Similarly in public organizations chatbots are used to quickly answer queries raised by citizens. When the case turns complex it is transferred to a human expert. ·One of the most popular applications of AI and ML is security and the ability to find loopholes. After going through huge amounts of data in minutes AI can easily detect loopholes and changing patterns in data. This helps in recognizing financial errors and frauds. 13

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Copyright © Global Tech Council Conclusion Artificial intelligence and machine learning have wide usage in the industry. From tasks as easy as document management to tasks as difficult as cyber monitoring everything is streamlined using these technologies. 14

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THANK YOU Any questions You can mail us at Copyright © Global Tech Council 16

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