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Global AI Bootcamp

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Hosted By
Ehsan E. and 4 others
Global AI Bootcamp

Details

Intro and Welcome. 10:00 – 10:10

Session 1. 10:10 – 11:00
Introduction to AI and Cognitive Services for Developers and Information Workers

Prashant G Bhoyar | Microsoft AI MVP
“Artificial Intelligence and Machine Learning are the new buzzwords in the industry. Microsoft's vision is to make AI accessible to every enterprise, data scientist, developer, information worker, consumer and device everywhere in the world. AI has a big role to play in the enterprise space. The field of AI is progressing at a rapid pace. Without understanding the concepts behind these advanced technologies, developers and administrators will struggle to evaluate the potential impact of new tools and solutions. In this session, we will break down the concepts behind existing technologies, outline various tools available today, and discuss the direction of AI and ML for Developers. We will cover how developers, Power Users, and Information workers can take advantage of Microsoft's AI and Cognitive Services offerings to build real-life enterprise solutions.

You will learn:

  1. Overview of Microsoft AI Platform
  2. What are the cognitive services?
  3. What tools are available today?
  4. How to use Cognitive Services to implement real-life business solutions?

Session 2. 11:10 – 12:00
Understanding Autonomous systems, Machine Teaching and Bonsai Platform

Ivana Tilca / Microsoft MVP AI & 3XM Group Quality Manager

Innovations in AI are creating the next wave of disruption in industrial technology. Autonomous machines are more than an expansion of automated systems: They are an entirely new way to amplify human expertise. In this session you will take a look to how to speed the creation of AI-powered automation to improve production efficiency and reduce downtime – without requiring data scientists with Project Bonsai. We will also take a look at AirSim, a simulator for drones, cars and more, built on Unreal Engine. AirSim a platform for AI research to experiment with deep learning, computer vision and reinforcement learning algorithms for autonomous vehicles.

Session 3. 12:10 – 13:00
Knowledge Mining and MLOps

Amol Mane, Meghana Madhusudhan and Niloofar Nayebi
Knowledge mining is an emerging discipline in artificial intelligence (AI) that uses a combination of intelligent services to quickly learn from vast amounts of information. It allows organizations to deeply understand and easily explore information, uncover hidden insights, and find relationships and patterns at scale. This platform allows to use machine learning model to address any specific business need. The life cycle of the models can be managed using MLOps. MLOps, or DevOps for machine learning, enables data science and IT teams to collaborate and increase the pace of model development and deployment via monitoring, validation, and governance of machine learning models. These two solutions combined can create a strong platform to extract, enrich, and expose any hidden data within any organization.
In this session you are going to learn about three main steps in KM platform:

Ingestion

Enrichment

Exploration

and three main pipelines in MLOps:

Continues Integration

Continues Delivery

Deployment

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