Machine Learning - eBook (EN)

7 leading machine learning use cases for startup

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Machine learning (ML) has moved beyond the hype to become a meaningful driver of value for many startups. Over two-thirds of businesses that have fully embraced artificial intelligence (AI) say the technology creates better customer experiences, and more than half say it improves decision-making and increases productivity. And with cost optimization a priority for every startup, ML successfully allows for innovation while achieving cost savings. 1 Startups across nearly every industry are leveraging ML to reduce costs, boost productivity, create better products, and get to market faster than their competitors. With the ability to predict outcomes and produce better results over time, ML gives startups the key advantages to win. Recognized as a Leader in the 2022 Gartner Magic Quadrant for Cloud AI Developer Services 2 , Amazon Web Services (AWS) provides AI and ML services for every use case—enabling startups of any size to launch new products immediately and enhance existing products, services, and processes. Startups choose AWS over alternative AI and ML approaches because of faster training times, lower costs, lower inference latency, and the deepest set of security features. Meet startup challenges with machine learning 1 "Artificial Intelligence (AI) and Analytics," PwC, 2021 2 "2022 Gartner Report Magic Quadrant for Cloud AI Developer Services" 2

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