Sammy Deprez
Freelance Data & AI Engineer - AI MVP @ Microsoft
Nairobi, Kenya
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Sammy is a seasoned consultant with an extensive background in diverse industries and over a decade of experience. With a specialization in the Microsoft Stack, he has successfully undertaken and delivered numerous projects across sectors such as finance, healthcare, and beyond.
In 2015, Sammy made a significant shift in his career by redirecting his focus towards Machine Learning and Artificial Intelligence (AI). Recognizing the transformative potential of these emerging technologies, he dedicated himself to mastering their applications and staying at the forefront of the field. His deep understanding of AI and its practical implications has allowed him to contribute significantly to the advancement of organizations he has been involved with.
In 2017, Sammy played a pivotal role in the launch of a new company that specializes in leveraging Artificial Intelligence and Microsoft tools to maximize organizations' potential. His expertise and leadership were instrumental in establishing the company as a prominent player in the AI landscape. Through his strategic insights and hands-on involvement, Sammy has helped numerous businesses harness the power of AI to drive innovation, improve operational efficiency, and achieve sustainable growth.
Beyond his professional endeavors, Sammy is a passionate advocate for AI education and community building. He serves as a board member of the global AI community, where he actively contributes to fostering collaboration, knowledge sharing, and networking opportunities among professionals in the field. As an esteemed international speaker, Sammy frequently shares his expertise and insights at industry conferences, seminars, and workshops, inspiring and educating audiences about the transformative potential of AI.
Sammy's commitment to excellence and his contributions to the AI community have been recognized with the prestigious MVP (Most Valuable Professional) award in AI since 2021. This accolade further underscores his dedication, expertise, and impact in the field, cementing his position as a trusted advisor and thought leader in the intersection of AI and business.
With his vast experience, deep knowledge, and unwavering passion for AI, Sammy continues to shape the future of organizations by unlocking their potential through cutting-edge technologies, and inspiring others to embark on their own AI journeys.
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Area of Expertise
Building a Responsible AI strategy
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?
Explaining your AI models - Why & How
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.
A Bot - From Idea to Deployment
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.
How to embed AI, when you have no AI skills
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!
Building chat bots with Microsoft - 4 different flavors
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?
Guardians of the Promptiverse: Ensuring LLM Safety and Security
Step into the world of promptiverse guardianship as we explore strategies to ensure the safety and security of your Large Language Model solutions. This talk is a fun and informative journey into defending against prompt hacking, covering techniques like prompt engineering and vigilant monitoring. Join us as we empower you to become a guardian of your LLM, safeguarding it against potential threats and ensuring its integrity in the ever-evolving digital landscape.
Advanced Text Analytics with Cognitive Services and custom ML
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.
Technologies:
- Azure Notebooks
- Cognitive Services
- Data Factory
- Data Bricks
Coding Languages:
- Python
Help! I can't find what I need.
We live in a world full of unstructured data, with data that is not easy to search in.
Video/Audio/Images/PDF/...
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!
Introduction to Bot Framework Composer
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
Accelerate your time to get a production ready ML Model.
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.
Learn how to train high accuracy machine learning models using automated machine learning
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.
Knowledge Mining with Azure Search (Whats New?)
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.
How to extend the Power Virtual Agent with QnA
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.
Building a great ML algorithm with 0 skills
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.
Microsoft AI - From Zero to Hero
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?)
Season of AI: London Microsoft DevOps Meetup User group Sessionize Event
Global AI Generate Sessionize Event
Future Tech 2023 Sessionize Event
TechDay Pakistan- Mar 2023 Sessionize Event
Global AI Developers Days Sessionize Event
dataMinds Connect 2021 Sessionize Event
Azure Summit Sessionize Event
Global AI Student Conference Sessionize Event
Microsoft 365 Virtual Marathon Sessionize Event
Global AI on Tour Malmö 2020 Sessionize Event
Virtual Azure Community Day Sessionize Event
Future Tech 2020 Sessionize Event
More Seminars
Cognitive Services in Azure
Tech Train - February 2020 edition
Building chat bots with Microsoft - 3 different flavors
Power Platform Bootcamp Brussels 2020 Sessionize Event
Road To Fosdem - Mechelen Edition
AI in an Open Source World
Global AI Bootcamp 2019 - Belgium Sessionize Event
Power Platform World Tour
Demo of Power Virtual Agent during Keynote
Global AI Night (#2), Belgium Sessionize Event
Global AI Night
Creating applications that can see, hear, speak or understand
DataMinds.ai meetup #6
First experience with Azure Search
Global AI Bootcamp - Belgium Sessionize Event
Azure Community Live Sessionize Event
Sammy Deprez
Freelance Data & AI Engineer - AI MVP @ Microsoft
Nairobi, Kenya
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