Speaker

Mihai Tataran

Mihai Tataran

General Manager @Avaelgo, Microsoft Regional Director and MVP

Timi┼čoara, Romania

Mihai Tataran is the General Manager of Avaelgo, he is also a Microsoft MVP on Microsoft Azure and Microsoft Regional Director.

Mihai is a Software Engineer by education and trade, and started his company Avaelgo immediately after graduating in 2006. He started doing training and consulting on Microsoft technologies, becoming a Microsoft MVP in 2009 because of his involvement in the Microsoft Communities. During the last years Mihai has been working on building Avaelgo's Cloud and AI business, now being an award-winning Microsoft SD and Advanced Specializations Partner. His main focus is designing products and services on top of the Cloud and AI, helping the Sales processes and also working as a consultant on enterprise projects.

Mihai is regular speaker at international conferences: ESPC, DevReach in Bulgaria, Codecamp Macedonia, Microsoft TechEd, Microsoft Summit; he is also involved in organizing ITCamp Romania.

Topics

  • Microsoft Azure OpenAI LLMs Machine Learning

Migrating Applications to Azure using Well Architected Framework

In todays world, more and more workloads are moving to the Public Cloud, including old-ish applications, designed and coded many years ago with different architecture styles than today.

In this session I will focus on how to migrate an application to Azure, by rearchitecting it so it really benefits from the public cloud functionality. We will go through some concepts of what "Cloud Native" means, but will focus on the Microsoft-designed "Well Architected Framework" to show you how to design the application and the actual migration process so your app in Azure is: performant and scalable, you have minimum time to market (e.g. fast updates), highly available and with a disaster recovery procedure in place, etc.

The Enterprise of the Future

In this session I will present you the "Enterprise of the Future", which is "Fuelled by Software, Transformed by AI, Based on Microsoft Azure".

This is an top-level, architecture session which explains how in my view (based on a few such experiences in my company Avaelgo) an Enterprise should prepare for the future, working on 4 pillars: Automation (PowerPlatform, RPA, etc.), Software Building, AI augmentation, and Security.

We will go through the most important Microsoft Azure services useful for incarnating this "Enterprise of the Future".

Migrating Applications to Azure using Well Architected Framework

In this session you will see how to design the migration of an enterprise software application to Microsoft Azure. We will explore a few different topics, like Cloud Adoption Framework (a methodology for migrating to Azure) - useful to understand different reasons and modalities to move to Azure.

We will focus then on Well Architected Framework which is a set of guidelines for how to run applications in Azure (ideally thought through before migrating to Azure), and an introduction about what Cloud Native means.

Future of software in Romania (panel discussion)

An open debate about the future of software development/outsourcing in Romania, addressing subjects such as the cost of staffing, creating IP, startup culture, government involvement, etc.

Cash flow prediction with Timeseries Forecasting using Azure Machine Learning

Predicting Balance Sheet items and Cash Flow is a major challenge for today's CFOs around the world, and it became exceptionally important during a cataclysmic event like the Coronavirus pandemic. They have been struggling with such topics for years, and most of the implementations we've seen are something very naïve and usually time-series autocorrelations.

In this session I will show how to approach such a project (setup, tools, methodology, algorithms), what are the common obstacles you need to surpass (data integrity and format, interpreting data, choosing the algorithms, how to treat outliers), how to run models training at scale using AutoML, and when and what to customize for better prediction.

This presentation is based on the work we've done for a few large enterprise customers (Oil & Gas and other industries), helping them predict Balance Sheet items and Cash Flow.

Migrating your organization to the Microsoft Cloud using the Cloud Adoption Framework

In this presentation you will see how to design and implement the Strategy for migrating to the Microsoft Cloud (Azure, Microsoft 365), using the Cloud Adoption Framework developed by Microsoft and used by our company in multiple projects.You will also understand how Governance of IT resources in the Cloud is different than on premises. We will discuss aspects like: resources security, cost monitoring and control, performance optimization and scalability improvements, policies and compliance - all with examples on Microsoft Azure.

Migrating Applications to Azure using Well Architected Framework

In todays world, more and more workloads are moving to the Public Cloud, including old-ish applications, designed and coded many years ago with different architecture styles than today.

In this session I will focus on how to migrate an application to Azure, by rearchitecting it so it really benefits from the public cloud functionality. We will go through some concepts of what "Cloud Native" means, but will focus on the Microsoft-designed "Well Architected Framework" to show you how to design the application and the actual migration process so your app in Azure is: performant and scalable, you have minimum time to market (e.g. fast updates), highly available and with a disaster recovery procedure in place, etc.

Cash flow prediction with Timeseries Forecasting using Azure Machine Learning

Predicting Balance Sheet items and Cash Flow is a major challenge for today's CFOs around the world, and it became exceptionally important during a cataclysmic event like the Coronavirus pandemic. They have been struggling with such topics for years, and most of the implementations we've seen are something very naïve like extrapolating on past data.

In this session I will show how to approach such a timeseries prediction project (setup, tools, methodology), what are the common obstacles you need to surpass (data integrity and format, interpreting data, choosing what data to consider and how), how to run models training at scale using AutoML and when and what to customize for better prediction.

This presentation is based on the work we've done for a few large enterprise customers (Oil&Gas and other industries), helping them predict Balance Sheet items and Cash Flow.

Mihai Tataran

General Manager @Avaelgo, Microsoft Regional Director and MVP

Timi┼čoara, Romania

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top