We will look at the role of data analytics and how it has transformed and empowered business decision making. We will discuss the ins and outs of how to deliver the most impactful RPA by optimizing your business processes before automating them - and also cover where RPA is headed, including the infusion of AI. In this Data, Analytics, & Intelligent Automation summit day, we will explore the evolution of RPA from delivering tactical, point solutions to the promise of strategic, enterprise-wide, hyper-automation. We will learn about case studies from healthcare, finance, security, and retail that deal with AI applications such as user personalization, sales & marketing acceleration, financial fraud mitigation, cybersecurity enhancement, and more. We will dive deep into the role of data in AI and how enterprises can collect high-quality data using both traditional methods of building their own datasets and leveraging alternative automation strategies such as using synthetic data or crowdsourcing the data to build high-quality AI while addressing issues such as privacy, bias, fairness, and trustworthiness of the data. We will explore how these automation technologies will change the role of data science teams and how they can co-exist to deliver better applied AI solutions. In this AI/ML Automation Technology summit day, we will explore the growing trend of automation in various disciplines within AI & ML ranging from data collection & preparation, feature engineering, model selection, data labeling/annotation, model training & hyperparameter optimization.

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