Humanity has accelerated its online activity by a factor of five years of time within just one, and that’s because of Covid-19. Technology is, in fact, ever-changing, ever-evolving, always progressively, never at once, as we create new problems just as fast as we solve old ones. Let’s have a ride in discovering the emerging technologies that will rule the world in the next hundred year. Presented to you by Badreddine Ramtani, International Growth Consultant at Google.
Language: English
Talk
If you need I can send you the presentation.
I present the journey of the innovative idea to the POC and the crucial projection towards a monetizable POV. Idea -> Concept -> Value
Language: French
Talk
We are completely surrounded by Recommender systems. If you watch something on Amazon, Netflix or YouTube, you immediately get a list of recommendations on what to watch next. And, it is not just music or videos. You constantly get recommendations on Amazon—people who bought this book also bought this other book. Same goes for restaurant recommendations. Then there are targeted advertisements, a manifestation of similar technology that assesses your personal profile and figures out what to show you.
So, how do these systems work? Personalization is one of the key applications in machine learning with widespread usage across e-commerce, entertainment, production, healthcare and many other industries.
This talk will present recent advances across the personalization industry and demonstrates their practical applications in real case-studies of world-leading online platforms
I will talk about how telecom companies are monetizing their big data in order to open new revenue streams especially after the telecom industry started facing increasing top-line pressure in their core business due to intense competition from market players, as well as the growing threats from digital-native/OTT players. I will showcase some real use cases that i have personally worked on in Saudi Arabia, and i will give some advice on how telecom operators in Algeria can benefits from their huge amount of data that they collected through time.
Language: English
Talk
A series of scandals involving AI applications recently shed the light on the actual and potential
risks induced by this technology, and hence the necessity to incorporate ethical considerations
into every aspect of its lifecycle, ie, its design, development, and deployment.
This talk provides an overview of Ethical AI, its principles, and some of its good practices.
Language: English
Talk
Social media is the main media users now use to get information and communicate with others. The amount of large data has enriched the field of data science to learn more about human behaviour from their activities online. In this talk, we discuss the field of Computational social science (CSS) that focuses on studying social phenomena with big data to learn about societies and individuals. Examples of CSS studies from the Arab region are presented including social, religious and political topics.
Language: english
Talk
ROS (Robot Operating System) became the industry standard for robotics software development, it is used to program autonomous cars, drones, industrial arms, and personal robots for our homes. It is also wide spread in robotics research around the world.
In this workshop we will see an overview of it’s features, how to create your first ROS program using python, and a demonstration on a simulated and a real-world robot.
Language: English
Workshop
Deep Learning has allowed us to achieve impossible feats.
However, we are trading explainability for performance. In critical fields like Medicine or Insurance, we can’t blindly rely on AI yet unless we find a way to explain how our models decided.
That’s what’s called XAI, or Explainable AI, and we’ll take a look at that together.
Language: English
Talk
I will be presenting a general overview of the application domains in natural language processing, the techniques used in this domain such as cleaning, stemming, etc. and the type of machine learning models that can be built using textual data.
Language: English
Workshop
a small recap on Ai and some fundamental principles of machine learning / deep learning. then a code workshop on colab that shows how to get data, understand it clean it and use to do a simple prediction using regression. and an example of how to do ml using a neural network.
Language: English
Workshop
