I’ve already wrote about the Global AI Bootcamp: a free one-day event organized across the world by local communities that are passionate about artificial intelligence on Microsoft Azure.
Agenda – Saturday, 12/14/2019
AI and Cognitive Services in Power BI
With the massive volumes of data generated today about every aspect of a business finding deep insights from the data can be challenging. This session will introduce how to incorporate the sophisticated pre-trained machine learning models into Power BI.
AI and Cognitive Services provide powerful ways to extract actionable insights from a variety of unstructured sources like documents, images, and social media feeds through Azure Services like Sentiment Analysis, Key Phrase Extraction, Language Detection, and Image Tagging.MPR ASat 10:30 AM — 60 min
Call Centre Analytics using Cognitive Services
A walk through of end to end development and deployment of Call Centre Analytics solution using Cognitive ServicesMPR BSat 10:30 AM — 30 min
UX of AI and Beyond
Learn how User-experience (UX) is changing the way we interact with AI and its latest touch points with technologies like AR/VR/MR.MPR CSat 10:30 AM — 60 min
Getting Started with Machine Learning.Net and AutoML
Machine Learning has moved out of the lab and into production systems. Understanding how to work with this technology is one of the essential skills for developers today. In this session, you will learn the basics of machine learning, how to use existing models and services in your apps, and how to get started with creating your own simple models.
And if you are a .Net developer, we will cover the basis of Machine Learning.Net, a complete ML framework to work with C#, F# or any other .Net Core language.MPR BSat 11:00 AM — 30 min
"Cybertelligence": Using AI to Fight the Dangers of Cyber Threats
Cyber threats are considered the top priorities for businesses nowadays, with Cybersecurity Ventures predicts cybercrime will cost the world in excess of $6 trillion annually by 2021 (up from $3 trillion in 2015), the challenge becomes bigger and the human resources to fight the threats are not catching up. The need of AI based automated cybersecurity solutions that will help human cybersecurity experts in this battle is becoming more of a necessity than complimentary. This talk will concentrateon the role of AI in fighting cyber crimes.
1- The OODA loop
2- Brief history of cyber crime combat
3- Dark Web and AI combat
4- Mass Surveillance and AI
5- Breaking RSA with AI and Quantum Computing (Shor's Algorithm)
6- The future of AI protection with Quantum Keys
7- The Battle with AI Biases in Cybersecurity
8- AI vs Human in Security, who wins?
9- Q & AMPR BSat 11:45 AM — 60 min
AutoML Azure Machine Learning
This session will take a technical deep dive on a data science solution that leverages auto MLMPR CSat 11:45 AM — 60 min
Using Artificial Intelligence in SharePoint Framework Solutions
Learn how you can integrate the various services available with Azure Cognitive Services in your custom SPFx solutions to solve real-world problems using practical business solutions.MPR ASat 11:45 AM — 60 min
Automated Machine Learning in Power BI
Machine learning is a data science technique to use massive historical data to forecast future behaviors, outcomes, and trends without being explicitly programmed. This session will introduce how to incorporate Machine Learning predictive models into Power BI to gain better predictions and insights about the future.
The ability to visualize and invoke insights from these models, in your reports and dashboards and other analytics, can help disseminate these insights to the business users who need it the most. This makes collaboration among business analysts and data scientists easier and faster than ever before.MPR ASat 1:30 PM — 60 min
Azure Machine Learning Services
Azure Machine Learning Services is a one-stop shop to train, deploy, automate, manage, and track your machine learning models. You can do that in Python (PyTorch, TensorFlow, and scikit-learn), R, or zero-code/low-code options. At the beginning, we will spend few minutes to familiarize ourselves with the ML/Data Science practice in general. Then, I will present a few examples of Python and zero-code options to build and deploy machine learning models, including Auto-ML (Automated Machine Learning) in Azure. Towards the end of the session, I will show-case how to consume a ML model from within a Power BI report. This session is appropriate for cloud developers/architects who are new to Machine Learning, but also for data scientist and data engineers who are new to AzureMPR CSat 1:30 PM — 60 min
Who is speaking? using Azure Speaker Recognition
Azure Cognitive Speech Services
Azure Speaker Recognition
Azure CLI scripts/code
1-Voice Identification (Recording few voices)
2-Voice Verification (who was speaking)
3-Voice Verification in different languageMPR BSat 1:30 PM — 60 min
"EthicalAIze": Developing Ethical AI Algorithms
AI is definitely the new buzz in the tech world. Everybody wants it, everybody's using it (even unknowingly). AI solved a lot of issues and changed our lives for better, but, years into experiencing AI we know now that there is a downside of using it. Mostly an ethical one. So, do we drop the whole "AI thing"? Keep it as it is and accept the downside? Or proceed with caution? This is what this session is trying to highlight.
1- AI Ethics: Why important? Why Now?
2- The dilemma and the major issues.
3- Machine Biases (the goo, the bad and the ugly)
4- The Moral Algorithm (Interpretability and Transparency)
5- Major Bias Cases
6- Artificial Consciousness as a Solution (Advancements and Challenges)
7- Conclusion and Suggestions
8- Q & AMPR CSat 2:30 PM — 60 min
Enriching the Power Platform with AI capabilities through AI Builder
Combining all three of the aspects of the Microsoft Power Platform – Power Apps, Microsoft BI & Power Automate and enriching them with advanced technology like AI builder gives businesses the required edge to stay relevant in the world of automation and artificial intelligence.
Microsoft’s Power Platform consists of three services Power BI, Power Apps and Flow. All three of these services helps users in their respective disciplines. With the help of Power Platform, users can integrate the capabilities of the three platforms to create streamlined solutions.
Users can now make their workflows and applications more efficient with the help of AI Builder. The scenario will allow businesses to become more intelligent and enable them to align their operations with the dynamic needs of modern consumers.
In this session, you will learn
-How can you start using AI-Builder for your business?
-Using AI-Builder with Power BI, Power Apps and Power AutomateMPR ASat 2:30 PM — 60 min
Open Source tools for your LUIS model
During this session we will discuss OSS tools like ludown, NLU.DevOps, putput that can help you to build and test your NLU model as well as help with CI/CD.MPR BSat 2:30 PM — 60 min