Partner @ Arinti - AI MVP @ Microsoft
Sammy is senior consultant and Managing Partner at Arinti (a company focused on the Microsoft Data & AI Platform) .
He is passionate about everything that has to do with data and anything connecting to that, from reporting till data science & AI.
Worked on projects locally & abroad and in industries from healthcare to finance & banking.
And most importantly he loves to share his knowledge with others. That is why he is also board member of the Global AI Community.
Area of Expertise
FATE AI ( Fair, Accountable, Transparent, Ethical)
What is Responsible AI? What are the dangers? Where do you find the balance? How do I build a Responsible AI strategy for my organisation? And what tools are already there to assist you?
Come join this session and get answers on all these questions?
In a world where more and more AI models are used by big and small companies. It is also important to be able to explain why certain decisions are made. To be sure your model is not biased by gender or ethnicity.
In this session we have a look at how Azure Machine Learning services can help you to understand your machine learning model and how to make sure your companies AI model is not biased.
Bot Framework Composer does not have any build in version controls to be able to track your code changes.
In this session we will go through all the different steps needed to build a bot and deploy it on different environments via DevOps.
In a world where AI is getting more and more important. It is good there are tools that can help you to add advanced AI skills into your own application or even DWH without having to know any Machine or Deep Learning techniques. This session will show you around in the Azure AI Stack and explain how you can use them!
In 2019 a lot has changed in the Microsoft Bot space. Where before there was the Microsoft Bot Framework SDK, LUIS and QnA Maker, the solution stack has been extended with Power Virtual Agent and the Bot Framework Composer. How easy are these services and what are their capabilities? And how do you choose the best fit for your project?
In a world where privacy is the biggest concern but where data is the new oil. We need new kinds of encryption technologies where the data is still usable for computation.
This session will explain you some theory about homomorphic encryption. To help you understand what it is, what you can do with it, but most important why it can be so useful.
At the end of the session you will be able to use it in your own data application.
Dificult words but easily explained
In a world where knowledge is power we notice that more and more companies want to get more information out of text based documents.
Microsoft provides already some great cognitive services, that can deliver some nice results, but we want to go to the next level.
In this session I will show how to combine all these services and extend it with some custom Machine Learning models.
- Azure Notebooks
- Cognitive Services
- Data Factory
- Data Bricks
We live in a world full of unstructured data, with data that is not easy to search in.
This talk will explain you how you can manage this documents and give your users the possibility to search through them.
How can you extend Cognitive Search with more powerful tools? Tools like Cognitive Services and Custom Machine Learning can really boost the user experience. Lets see how!
At Ignite, Microsoft announced a visual tool to build chatbots quickly. With features as language generation, language understanding, QnA, and many more with a low-code experience.
In this session, I will build a chatbot from scratch and showing many different features of Bot Framework Composer
A first step to learn some Machine Learning is by making use of the Automated Machine Learning services of Azure.
It enables developers with little machine learning skills to build ML models with high scale, efficiency, and productivity all while sustaining model quality.
This demo based session will start with collecting the data up to deploying models. ML terminology will be explained during the session so people with no AI background can follow.
Intelligent experiences powered by AI can seem like magic to users. Developing them, however, is cumbersome involving a series of sequential and interconnected decisions along the way that are pretty time consuming. What if there was an automated service that identifies the best machine learning pipelines for a given problem/data? Automated machine learning does exactly that! Learn how to quickly and efficiently build high accuracy ml models for classification, regression and forecasting scenarios using code and code-free pathways.
Azure Search is a Microsoft service that exists already for a while. But many do not know powerful and how easy this service is to use. In this demo based session I will show all the different functionalities of this services but also how you can extend it.
QnA maker is a great tool to easily add a FAQ to your chatbot. But by default there is not way to integrate it into the Virtual Agent. During this session we will have a look at the QnA Maker and will see how to integrate it with the Power Virtual Agent.
Did you know you don't need to know a lot about AI to build your own Machine Learning Model?
With Microsoft Automated ML you have a service that can help you set up a whole build pipeline that can generate top notch models without you having to write any code. This demo based session will give you the in- en outs of this service.
Many think they don't have the skills to implement AI in their organisation. But at the end its not that hard.
In this workshop we will start with the easy pre-build AI models that are available. Then we will go through some small theory. And then we will move on to building your own AI models in 3 different levels (easy - moderate - difficult).
- Automated Machine Learning - Reusing the knowledge of millions of experiments
- Machine Learning Studio - Drag & Drop your AI model together
- Jupiter Notebook - Write your model from scratch (or not?)
Virtual Azure Community Day
Building chat bots with Microsoft - 3 different flavors
AI in an Open Source World
Power Platform World Tour
Demo of Power Virtual Agent during Keynote
Creating applications that can see, hear, speak or understand
First experience with Azure Search
Partner @ Arinti - AI MVP @ Microsoft