Speaker

Marco Zamana

Marco Zamana

Cloud Solution Architect @Microsoft

Cloud Solution Architect @Microsoft

Verona, Italy

I am App Innovation Cloud Solution Architect @Microsoft and co-founder of CloudGen Verona, an Italian community based in Verona, which makes the Azure and .NET world its main topic.
At the same time, I'm a dad who loves all technology with a passion for the world of code and artificial intelligence.

Sono App Innovation Cloud Solution Architect @Microsoft e co-fondatore di CloudGen Verona, una comunità italiana con sede a Verona, che fa del mondo Azure e .NET il suo argomento principale.
Contemporaneamente sono un papà che adora tutta la tecnologia con la passione del mondo del codice e dell'intelligenza artificiale.

Area of Expertise

  • Information & Communications Technology

Topics

  • .NET
  • .net core
  • ASP.NET Core
  • Bot Framework
  • bots
  • C#
  • Unit testing
  • NUnit
  • ML.NET
  • AI
  • Machine Learning
  • Machine Learning and AI
  • Artificial Intelligence
  • Machine Learning and Artificial Intelligence
  • Azure
  • automated-ml
  • Azure machine learning service
  • Azure Data & AI
  • Azure Data Lake
  • Power Apps
  • Microsoft Power platform
  • Microsoft Power Virtual Agents
  • Microsoft Power Automate
  • Microsoft Power Apps
  • Microsoft Power BI
  • Azure Synapse Analytics
  • Robotic Process Automation
  • Robotics Process Automation
  • Object detection
  • TensorFlow
  • Python on Azure
  • Jupyter Notebook
  • Azure B2C
  • Power Platform
  • Power Automate
  • Microsoft 365
  • Microsoft
  • Microsoft SQL Server
  • Microsoft Flow
  • Microsoft MVP
  • Microsoft SharePoint
  • Microsoft Dynamics 365
  • OpenAI
  • Azure OpenAi
  • Open Source Software
  • Azure AD B2C
  • Azure Kubernetes Services (AKS)
  • Kubernetes
  • Docker
  • Container
  • Cloud Containers and Infrastructure
  • dapr
  • Copilot
  • Microsoft Copilot
  • Microsoft 365 Copilot
  • Github Copilot
  • Copilot/AI
  • M365 Copilot
  • Power Platform Copilot
  • Cloud Architecture
  • Azure Architecture
  • Architecture of Web-Apps
  • Microservice Architecture
  • Architecture
  • Blazor
  • React
  • React Native
  • Startup Innovation & Creativity
  • Streaming Data Analytics

Sessions

Semantic Kernel deep dive en

Let's discover Semantic Kernel! Let's go deep into this open-source SDK that makes it easy to combine AI services such as OpenAI, Azure OpenAI and Hugging Face with conventional programming languages such as C# and Python.
Semantic Kernel is an open-source developer SDK that is very lightweight and allows developers to orchestrate AI plugins.
With Semantic Kernel, developers can leverage the same AI orchestration models that power Microsoft 365 Copilot and Bing in their own applications, leveraging existing skills and development investments.

Porta il tuo virtual agent a un altro livello con l'AI en

A volte il miglior modo di interagire con i nostri dati non è una app. Le chatbot offrono un'esperienza utente più naturale e non è mai stato così semplice crearne una da zero con la Generative AI!

In questa sessione vedremo come sfruttare le novità introdotte in Power Virtual Agent per creare chatbot dinamicamente sfruttando tutte le potenzialità di Copilot. Durante le demo vedremo come creare nuovi argomenti usando il linguaggio naturale, come abilitare risposte generative a partire da siti pubblici o dai contenuti presenti nella nostra intranet e molto altro.

ML.NET 3.0 en

ML.NET è un framework di machine learning open source e multipiattaforma per sviluppatori .NET che consente l'integrazione di modelli di machine learning personalizzati nelle app .NET. Ora è alla versione 2.0, vediamo quali sono i punti salienti di questa versione e approfondiamo il codice .NET 7!

Power virtual agent vs Bot Framework en it

A session where we will compare Power Virtual Agent and Microsoft Bor Framework. We will create a virtual agent and discover all the peculiarities of this useful tool for our company.

Power virtual agent vs Bot Framework en it

Una sessione dove metteremo a confronto Power Virtual Agent e Microsoft Bor Framework. Creeremo un agente virtuale e scopriremo tutte le peculiarità di questo utile strumento per la nostra azienda.

Object Detection with ML.NET en

Session where we will talk about ml and object detection. We will use ml.net to detect objects within our images

Understanding MLOps en it

A session in where we will explore through the similarities and differences between DevOps and MLOps. How we can apply DevOps philosophy to a machine learning system?

Machine Learning in ML.NET en it

Session in which I talk about Machine learning, data analysis and ML.NET, the new open source framework that allows you to create customized machine learning solutions that can be integrated into your .NET applications.

Machine Learning in ML.NET en it

Sessione in cui parlero di Machine learning, di analisi dei dati e di ML.NET, il nuovo framework open source che permette di creare soluzioni di machine learning personalizzate e integrabili nelle proprie applicazioni .NET.

ML.NET Model Lifecycle with Azure DevOps en it

Are you a developer? Are you a Architect? You must have the focus about on the application lifecycle! Building, maintaining, and continuously updating the end-user business application. No news here, but if we add also ML, for example a ML.NET model what we must to do? We need a update and extend a new type of lifecycle: Machine Learning Model Lifecycle.

ML.NET Model Lifecycle with Azure DevOps en it

Are you a developer? Are you a Architect? You must have the focus about on the application lifecycle! Building, maintaining, and continuously updating the end-user business application. No news here, but if we add also ML, for example a ML.NET model what we must to do? We need a update and extend a new type of lifecycle: Machine Learning Model Lifecycle.

Understanding MLOps en it

A session in where we will explore through the similarities and differences between DevOps and MLOps. How we can apply DevOps philosophy to a machine learning system?

A session in where we will explore through the similarities and differences between DevOps and MLOps. How we can apply DevOps philosophy to a machine learning system?

WPC 2023

November 2023 Assago, Italy

CodeGen 2021

February 2021

Global AI Bootcamp Italy 2019

December 2019 Milan, Italy

WPC2019

December 2019 Assago, Italy

Azure Day Rome 2019 Reloaded

November 2019 Rome, Italy

Visual Studio Saturday 2019

November 2019 Pordenone, Italy

DevOpsHeroes 2019

October 2019 Parma, Italy

Azure Saturday Pordenone 2019

October 2019 Pordenone, Italy

AI & ML Conference 2019

September 2019 Milan, Italy

AIDay

September 2019 Rome, Italy

Global Azure Bootcamp 2019

April 2019 Verona, Italy

Digital 1nn0vation Saturday 2019

January 2019 Pordenone, Italy

WPC2018

November 2018 Assago, Italy

Visual Studio Saturday 2018

November 2018 Pordenone, Italy

Azure Saturday 2018

October 2018 Pordenone, Italy

CodeGen 2018

September 2018 Verona, Italy

Global Azure Bootcamp Verona

April 2018 Verona, Italy

Marco Zamana

Cloud Solution Architect @Microsoft

Verona, Italy