On-line April 27, 2022, 7 p.m. - 11 p.m.

AI Boost

Um BOOST de IA para sua estratégia de negócios



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What will you learn:

Brief introduction of AI technologies: we will cover machine learning, deep learning, natural language processing, computer vision, RPA, IOT and Analytics.
Tasks, issues, and opportunities within processes that can benefit from using AI technologies: We will present favorable situations and use cases where AI technologies an bring about efficiency improvements, automation, or value creation.
Process for building an AI component that will be incorporated into a company's system to create and capture value: we will cover the five main steps, from defining the problem or business opportunity, preparing data, building a business model. AI, deployment and analysis, and evolution.
Alternatives for starting or advancing in the use of AI technology: we will cover the ways to apply AI in your company, whether by ready-made solutions, contracting services or even developing in-house.


AI encompasses a set of technologies that can transform tasks and processes, generating additional value for companies and professionals. Finding these use cases where technology can be applied requires knowledge of what the technology is capable of and a new view on problems and opportunities.

In this course, you will be exposed to the main capabilities of AI technologies and how to identify problems and opportunities in your company's tasks and processes in which they can be applied. In addition, you will understand the steps of a project to implement any AI technique that changes or creates a new task, culminating in a new generation of value, such as increased revenue, reduced costs, or both. Finally, you will receive a set of ideas regarding “Where should I start?” or even “What alternatives does my company have to implement some AI technology?”.

About the Instructor



Educator and Advisor

Alexandre Dietrich possui MBA pela Fundação Dom Cabral, Bacharel em Ciências da Computação pela Universidade Feral do Rio Grande do Sul, pós-graduação em Business Analytics pelo Seneca College, Toronto, e Certificados de Inteligência Artificial e Ciência de Dados pela University of Toronto. Está estudando Financial Technology pelo Seneca College, Toronto. Possui vasta experiência na indústria de tecnologia da informação, adquirida ao longo de 30 anos, principalmente como líder de vendas, produtos e serviços trabalhando para a IBM, onde foi responsável por soluções como AI (incluindo IBM Watson), Analytics, Cloud e IT Services. Cinco anos atrás, começou uma jornada pessoal para compartilhar conhecimentos de IA como educador e conselheiro.