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After nearly two years of hype, speculation, use case analysis, pilots, and scaling deployments, generative artificial intelligence in the enterprise has some results to show for the multi-billion dollar investments made by the big tech vendors. Explore success stories and key lessons from Australian enterprises.
Generative (gen) artificial intelligence (AI) risks span data, model, deployment, and governance dimensions, with different concerns coming to the forefront at each adoption stage.
Kapil Mahajan, the company’s Group and Global CIO, effectively harnessed AI and machine learning, along with computer vision technologies, to enhance logistics planning, improve demand forecasting, and streamline cash collection processes.
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