On-line March 22, 2022, 7 p.m. - 11 p.m.

How to stay competitive in a world of data and algorithms

Learn how to stay competitive in an environment where data and algorithms will make the big difference.

Marco Lauria
Ministered by Marco Lauria
How to stay competitive in a world of data and algorithms

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What will you learn:

Analytical evolution: Big Data + Artificial Intelligence;
How to Choose a Project for Artificial Intelligence;
Workflow of an Artificial Intelligence / Machine Learning project;
Building a team for an AI project;
Setting up a cross-functional team with Business specialists.

Description

Analytical evolution: Big Data + Artificial Intelligence:
- Data: why are they so valuable?
- Analytical Evolution: Business Intelligence, Big Data, Artificial Intelligence
- Importance of a Data Governance policy
- What is Artificial Intelligence and Machine Learning
- What AI can and cannot do

How to Choose a Project for Artificial Intelligence:
- Prioritizing possible projects: business value matrix and technical feasibility / effort required
- Do a Technical Diligence: is it possible to achieve the intended objectives? We have the data What is the schedule?
- Establish success criteria

Workflow of an Artificial Intelligence / Machine Learning project:
- Organize data - Train the model - Test
- Seeking help: Own resources and External resources

Building a team for an AI project:
- Examples of required responsibilities: Software Engineer, Data Scientist, ML Specialist, CDO, CAIO

Setting up a cross-functional team with Business specialists:
- Training: Executive - Management Team - Technical Team
- Hackatons and Garages

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About the Instructor

Marco Lauria

Marco Lauria

A.I. Advisor @ I2AI

Consultor e membro do conselho da I2AI. Atuou como VP LATAM de Soluções Cognitivas da IBM, de 2016 a 2018, sendo responsável por fomentar a transformação digital dos clientes, com soluções de Inteligência Artificial baseadas em Watson. Em 2018, passou a liderar também o segmento de SaaS e PaaS (Software/Platform as a Service).

Formado em Engenharia Eletrônica pela UFRJ, com mestrado em Análise de Sistemas. Trabalhou na IBM por mais de 30 anos, onde ocupou diversas posições de liderança incluindo designações internacionais nos laboratórios de pesquisa da IBM em Hawthorne, Nova York e RTP-NC.
Um entusiasta de tecnologia, é também apaixonado por fotografia e esportes, especialmente ciclismo que pratica com destaque há mais de 30 anos.