Making artificial intelligence explainable
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Making artificial intelligence explainable
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Rachel is a passionate entrepreneur. Before founding TD, she owned and operated small business and also worked in consultancy, business services and finance in government and private industries.
Michael is an entrepreneur passionate about using AI and data to solve big problems. Formerly, he was a Senior Executive for the Australian Government (Technology).
Michael is an entrepreneur passionate about using AI and data to solve big problems. Formerly, he was a Senior Executive for the Australian Government (Technology).
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While artificial intelligence is transforming our world, many AI models are a blackbox - it is impossible to explain how or why a specific decision was made. This means operators of AI systems can not determine how best to use output from their AI systems. At the same time, it is impossible to build an end-to-end AI solution without the right understanding and tools. These both mean that the power of AI remains unlocked for many players.
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The Trellis Data Platform (TIP) allows customers to build complex yet explainable AI models with their data (from facial recognition models to document auditing all the way to resume matching) while ensuring that they can trust and explain decisions made by the automated system. Further, TIP removes the complexity associated with building AI models, allowing customers to build end-to-end solutions at the click of a button within the secure platform. Their AI platform can be deployed within minutes, on the cloud or on premise.
While artificial intelligence is transforming our world, many AI models are a blackbox - it is impossible to explain how or why a specific decision was made. This means operators of AI systems can not determine how best to use output from their AI systems. At the same time, it is impossible to build an end-to-end AI solution without the right understanding and tools. These both mean that the power of AI remains unlocked for many players.
The Trellis Data Platform (TIP) allows customers to build complex yet explainable AI models with their data (from facial recognition models to document auditing all the way to resume matching) while ensuring that they can trust and explain decisions made by the automated system. Further, TIP removes the complexity associated with building AI models, allowing customers to build end-to-end solutions at the click of a button within the secure platform. Their AI platform can be deployed within minutes, on the cloud or on premise.
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Trellis Data lets you leverage state-of-the-art ML/AI models it finds by scanning millions of research papers. It then provides one of the world’s first solutions to explainable AI, ensuring that models built using their system can be trusted.
Trellis Data lets you leverage state-of-the-art ML/AI models it finds by scanning millions of research papers. It then provides one of the world’s first solutions to explainable AI, ensuring that models built using their system can be trusted.
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