Homepage of Armando Vieira

Data Scientist, Entrepreneur and Speaker

I am an experienced Data Scientist, Speaker, Entrepreneur and AI Innovation Advocate.

I founded Lidinwise, a consultant company, to help companies take advantage of the opportunities of Machine Learning to leverage their data and create competitive data driven business. I work with big organizations, and Startups as well, as a strategic advisor and hands-on consultant.

I obtained a PhD in Physics and pioneered research in Deep Neural Networks back in 2000, with several publications in peer-review journals. I have extensive experience in machine learning and AI in international teams as lead data scientist and head of data science. 

More recently, I focus my efforts in helping organizations leverage the capabilities of machine learning and AI to become data driven and efficient. 

In my last book, Business Applications of Deep Learning, I discuss how AI will disrupt almost every business, from Banking to Medicine and the future of data driven organisations. 

I’m also interested in societal aspects and implications of AI and ethical consequences of decisions taken automatically by cognitive algorithms.
Pioneer in Deep Neural Networks with this publication in 2003 (cited in the recent review on Deep Learning by Jurgen Schmidhuber) and a more recent one on Applicationbs of Deep Learning in Biomedicine and Prediction of online user behaviour on an ecommerce site.

My book “Deep Neural Networks: Overview and Business Applications“. A summary in a format of book chapter is available here.

Screenshot 2018-03-04 07.55.32

My TEDx talk 13 March (minute 11):

My new book chapter “Digital Markets Unleashed“, By Springer, August 2017 – on applications of Deep Learning and AI in Banks.

More on my Linkedin profile or Github account.

Armando Vieira

Check my latest work based on conditional Generative Adversarial Neural networks (cGAN) applied to facade generation.

My video presentation on “AI, from a long Winter to a blossoming Spring“.

My presentation at EARL conference, London 2015:

Portfolio of Customers

14
AUG
2013

Visualizing the stock market

I played around several unsupervised learning techniques to extract the stock market structure from variations in historical quotes. The quantity that we use is the daily variation in quote price: quotes that are linked tend to cofluctuate during a day. We use sparse inverse...
23
JUN
2013

Sobre impacto da ciência na economia

É um mantra quase inquestionável assumir que o conhecimento científico está na base do progresso tecnológico e bem-estar económico. Que se quisermos aumentar os segundos, precisamos aumentar o investimento na produção e divulgação do primeiro. Isso é quase sempre feito através de...
24
MAY
2013

Um país de falhados mas não um país falhado

A propósito do estudo da D&B que refere um aumento ímpar do número de empresas criadas no primeiro semestre deste ano, tem-se debatido a onda de empreendedorismo que parece ter-se instalado em Portugal. Durante muitos anos, o termo empreendedorismo vivia apenas em livros e...
23
MAY
2013

Recomendações para melhorar sua presença na net

Algumas dicas sobre como melhorar a sua presença online 1 Página web. A página web é o activo mais importante do negócio online. É o único que controlas, medes e nunca desaparece. Pode converter-se na plataforma de comercialização mais eficaz se queremos converter o tráfego...
22
MAY
2013

Quantas Estrelas há no Céu?

- Está uma noite bonita, não achas? Parou e olhou-o expectante com os olhos bem abertos: -Sabes quantas estrelas há no céu? – perguntou de chofre. Tinha sempre perguntas tão difíceis e inesperadas. Não fosse ele um cientista… – São muitas pai – respondeu o petiz...
10
MAY
2013

Data, Data, Data everywhere

How will we ever make sense of scientific topics that are too big to know? The short answer: by transforming what it means to know something scientifically. Scientific knowledge is taking on properties of its new medium, becoming like the network in which it lives. There are...
07
MAY
2013

Facebook social graph

FB social network graph  is very powerful. In a recent paper, Ugander et. al on the Anatomy of Facebook Social graph, the authors have used several network sciences and statistical approaches to study the science, function, and dynamics of 700+ Facebook users. My study focuses on...
29
APR
2013

As mudanças tecnológicas e (des)emprego

O desemprego é hoje uns dos maiores flagelos sociais. Taxas de desemprego superiores a 50% entre camadas jovens são hoje comuns em muitos países. Podemos culpar os partidos ou os sindicatos por impedirem a flexibilização das leis laborais – que certamente têm culpas – mas...
05
APR
2013

Optimization of Digital Marketing Campaigns

Over this week I dedicate some time to analyse a very interesting problem. How to optimize a digital marketing campaigns. This is In our case we have a set of segments in advertising for adwords campaigns, facebook