Artificial intelligence (AI) has been advancing rapidly in recent years, measured both in terms of the amount of resources devoted to it and also in terms of its outputs. Increased investment has been driven by and also contributed to rapid increases in the technical capabilities of AI.
DurationArtificial intelligence (AI) has been advancing rapidly in recent years, measured both in terms of the amount of resources devoted to it and also in terms of its outputs. Increased investment has been driven by and also contributed to rapid increases in the technical capabilities of AI.
These advancements have started to manifest themselves in a variety of applications, including AI beating humans at complex strategy games, the creation of chatbots and virtual assistants, cashier-less and cash-less grocery stores, and automated HR functions, to name a few.
This course will take the manager’s perspective. Familiarity with any new technology is an important goal for managers, so that competitive and corporate strategies can be aligned to take advantage of potential new opportunities and guard against potential risks from the technology.
This course will provide you with a set of strategy and management frameworks that firms use when assessing how to implement AI in their own organizations, how to use AI as a competitive tool in the marketplace, and how to interact with government regulators and other stakeholders.
New York University Stern School of Business, located in the heart of Greenwich Village and deeply connected with the City for which it is named, is one of the nation’s premier management education schools and research centers.
NYU Stern offers a broad portfolio of transformational programs at the graduate, undergraduate and executive levels, all of them enriched by the dynamism and deep resources of one of the world’s business capitals.
This course introduces principles of artificial intelligence, machine learning, and deep learning with a focus on applied techniques. Students will examine software, programming languages, and algorithms used to parse and analyze data and automate computer decision-making processes.
Machine learning is a branch of Artificial Intelligence wherein computers have the ability to learn without being explicitly programmed.
This course tracks along the Python vertical and integrates a range of topics at the nexus of computer science, data science, and artificial intelligence, with a focus on natural language processing.
Learn to craft AI prompts for maximum results, incorporate AI into your design workflows, and improve the human-machine experience as it relates to responsibility, equity, and safety.
With advances in machine learning and deep learning algorithms, artificial intelligence has grown exponentially. AI is a driving force behind technologies such as computer vision, autonomous vehicles, drones, robotics and more.
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