Customer Insight to Action – Marketing in the Digital Age

Digital transformation has raised the stakes for marketers by setting new customer expectations and enabling organizations to fulfill those expectations through new capabilities. Topics explored in this module include ways digital transformation has changed customers’ expectations, where your organization’s marketing is leading in adopting tools to transform the customer experience, and where it is lagging,…

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AI for Digital Transformation 

AI has become an unprecedented and universally powerful tool with applications to a plethora of domains with problems ranging from vision, speech, natural language processing, robotics, and several other areas. This module will provide select important advances in AI and introduce topics such as convolutional neural networks, deep learning and reinforcement learning. Koushil Sreenath, Assistant…

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Robotics for Digital Technology

Robotics are increasingly entering society in the form of delivery robots, autonomous cars, and even robotic cooks in restaurants. This module will provide select important advances in robotics and introduce topics such as perception, planning and autonomy with several application domains. Koushil Sreenath, Assistant Professor, Department of Mechanical Engineering, UCB.

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Module 1 – Historical context

A summary of the various industrial revolutions to date, with examples from various industries, specifically highlighting their key technological and knowledge elements, and their social and economic implications.

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Module 3 – Big Data

The evolution of cloud architectures, and of industrial data-driven decision making. We will cover subjects ranging from hypothesis-driven queries to opportunistic data analytics, while dealing with issues such as data inhomogeneity, poor labeling and the curse of dimensionality.

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Module 4 – Communications

The .com bust gave us cheap global communications that became the backbone of today’s “free” Internet. This was complemented by the explosion of universal mobile technologies, and new communication opportunities, such as 5G, with deep industrial implications.

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Module 5 – AI and Machine Learning

This will be presented as a natural evolution at the convergence of efficient computing, cheap storage and abundance of data. We will go through a primer of the most important concepts, and we will focus on industrial application examples in design, control, diagnosis and supply chain management.

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