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Aires to develop Prometea , an AI virtual assistant that helps speed up judicial work .
time by 25 to 50 %, enabling life-saving and life-changing medications to reach the market faster . Here are some examples : Researchers at MIT used AI to analyze over 100 million chemical compounds , leading to the development of Halicin , an antibiotic that proved effective against various strains of bacteria resistant to existing antibiotics .
Insilico used its AI platform to generate and optimize INS18 _ 055 , developed to treat idiopathic pulmonary fibrosis ( IPF ), a type of lung disease . Now in clinical trials , the drug was developed in just 18 months from target identification to designation as a preclinical candidate .
Biotechnology company Recursion used AI on biological image data to identify more than 20 new drugs to be investigated for genetic and ageing-related diseases , many of which are now in clinical trials .
Use cases of AI in the government sector
The government sector could become one of the largest users of AI due to the immense amount of data it handles daily and the multitude of citizens it serves .
Within the US federal government , AI use cases were emerging so rapidly that a database was created to track them . This database now includes more than 700 examples of how departments and agencies are using AI , including analyzing urban heat islands to better protect residents against extreme weather conditions , analyzing unstructured feedback from military veterans to improve service delivery , and speeding up the process of comparing new patent applications with existing patents .
In Argentina , the Ministry of Health is using AI to predict the spread of diseases like dengue based on climate data and population flows . Locally , the Public Prosecutor ' s Office in Buenos Aires worked with the AI lab at the University of Buenos
It is important to identify the changes that will be needed to enable the AI journey and maximize the return on investment .
Use cases of AI in the industrial sector
Industry has already greatly benefited from AI and other advanced technologies , and Generative AI will enable greater efficiencies and better quality . AI is being used to accelerate product design and development , monitor quality , and increase the accuracy of production planning and inventory management .
General Motors uses AI-enabled generative design to drive continuous improvements in vehicle components , focusing on lightweighting . In collaboration with AutoDesk , GM engineers were able to quickly evaluate more than 150 different designs for a seat bracket and generate a design that simplified manufacturing while reducing weight by 40 % and increasing strength by 20 %.
Airbus had a similar experience with generative design , using it to create lighter partitions for the A320 . It used Generative AI algorithms based on growth patterns found in nature to optimize the structure of the partitions . The resulting ‘ bionic partition ’ is 45 % lighter than traditional designs while meeting strict requirements for stress and displacement due to impact forces .
In factories , Generative AI is being used to increase production uptime and reduce service costs . AI models can be trained with data from equipment sensors and recognize patterns in this data that may indicate an impending failure . AI is also being used to analyze historical maintenance data to help identify and resolve issues and analyze failures .
Preparing for the AI revolution
The question is not if AI will come to your company , but when – if it is not already there . As you get excited about AI ' s potential in your organization , it is important to identify the changes that will be needed to enable the AI journey and maximize the return on investment ( ROI ) in all your AI use cases . •
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