Eve Pardi

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reinforcement learning Azure ML Azure Cognitive Services Microsoft Azure Cognitive Services Deep Learning Responsible AI Analytics Analytics and Big Data Azure Data & AI Azure Databricks Azure Synapse Analytics Azure Data Platform

Copenhagen, Capital Region, Denmark

Eve Pardi

Microsoft AI MVP

Eva is a skilled Software Developer and Data Scientist.

Eva has been working close to Microsoft since her first years of university, as a Microsoft Student Partner first, and now as a Microsoft Most Valuable Professional. She has worked with Azure Infrastructure (Azure AD, Datacenters, etc.), then Mobile and Web development, and today she has expanded her focus with Data Science and the Machine Learning (ML)/AI services provided by Microsoft.

She’s a familiar face as speaker at conferences, meetups and other community events, sharing her passion for AI and how it can be used to improve life quality around the world. Board member of Global AI Community and AI42.

Eva also writes articles about her projects and researches and is mentoring and supporting people who would like to start in the field of Data Science and AI.

Current sessions

Reinforcement Learning in gaming

Microsoft uses reinforcement learning in many ways to improve our products and services. AI and machine learning can help accelerate game development by providing more realistic worlds and challenges as well as support automation and live operations. At Game Stack Live, Microsoft Research announced Project Paidia, a research effort aimed at exploring new opportunities created with AI based reinforcement learning in gaming.

During this session, attendees will be able to get started with Reinforcement Learning for gaming with the use of Azure Machine Learning.

Data science in tutorials vs in real life

I meet a lot of people at conferences or webinars where I participate at as speaker, or when I consult at a customer, and I often have the feeling that some people are very confused about what is involved in the everyday work of a data scientist.

Sometimes I ask these people where they heard all that strange information, and they claim to read it in some tutorials. It turns out, that some tutorials include information that is not necessary a lie or stupid, but it easily can be misleading for someone who just would like to get started in this field.

I collected some information that me, and other data scientists found at different tutorials...

Interpret-Text: Building trust and power with explainability

Artificial intelligence (AI) systems have a growing impact on people's lives on an every-day-level, thus it is fundamental to protect, control and understand the behavior and complexity of different models. Interpretability assists data scientists to explain, debug and validate their models, thus helping to build trust towards the model.

Interpret-Text, the innovative interpretability technique for Natural Language Processing (NLP) models has been developed by the community, and just has been announced at Microsoft Build 2020.

During this session, attendees will get an understanding about how to explain their models and then how to build a visualization dashboard that provides insights into their data, using different state-of-the-art explainers.

Improve your e-commerce application with Azure Cognitive Services

Student Book Market started to be only a school project, but in the end it became an online platform used by many students who wanted to sell or buy educational books or notes.

Azure Cognitive Services can be used in different ways to innovate an e-commerce application. Customers can provide details about the product they want to sell, or find their desired items just by providing a picture of them. They could also get better recommendations based on their activity. Customers who have problems with their eyesight can also seamlessly navigate through your web application with the use of the different APIs of Azure Cognitive Services.

In this demo-oriented session you receive hands-on knowledge about Azure Cognitive Services, and about how to apply them in your .NET application, to provide an innovative e-commerce platform for your customers.

Predicting earthquake damages with Azure ML Workspace

In April, 2015 there was an earthquake with 7.8 magnitude, and an epicenter in the Ghorka District of Nepal. The disaster injured more than 30000 people, which was in most cases caused by the collapsed buildings in the earthquake.

During the demo-oriented session you receive hands-on knowledge about Microsoft Azure Machine Learning Workspace. You will be able to use the same platform to examine your dataset, to build your own predictive model, to improve it for better results and to deploy the model.

The data we use for the demo can be used to mitigate which buildings might need strengthening, so not only many buildings, but also thousands of lives could be saved in case of another earthquake.

Past and future events

Techorama 2021 Spring Edition

16 May - 18 May 2021
Antwerpen, Flanders, Belgium

MVP Fusion & Friends

22 Feb 2021

CodeGen 2021

12 Feb 2021

Azure Lowlands

28 Jan 2021

dataMinds Connect 2020 (Virtual Edition)

12 Oct 2020
Mechelen, Flanders, Belgium

Virtual Azure Community Day

27 Jul - 28 Jul 2020

Global AI On Tour (Belgium Edition)

22 Jun 2020

Global AI On Tour - 2020 @Pune

19 Jun 2020