Speaker

Lino Tadros

Lino Tadros

Technical Fellow and Distinguished Executive

Orlando, Florida, United States

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Distinguished executive leader and renowned technical expert in AI, Machine Learning, and IoT. Leads cross-functional architectural teams to award-winning performance by developing strategic roadmaps and powering enterprise-wide projects. Serves as board member and advisor for multiple corporations delivering strategic guidance on product line developments and business solutions. Industry influencer and mastermind of strategic programs and innovations leading modernization efforts to alter the global IT landscape as Microsoft Regional Director.

HIGHLIGHTS

•Partnered with Microsoft to consult major corporations on Azure integrations; trained over 1K global employees and architects across US, Canada, Europe, Middle East, and Australia.
•Invited into elite Microsoft Regional Director program as Top 1% of global SMEs...Maintains direct line of communication to Microsoft executive leaders and Office of the President for Technical and Business Influence.
•Inspired $200M marketing push for Microsoft Teams platform and led strategy for MS Azure Synapse design and release; catapulted competitive advantage over Zoom and AWS.
•Piloted multi-million-dollar architecture projects for organizations in US, Europe, and Australia to include DoD, NASA, Disney, HP, Johnson & Johnson, and international banking institutions.
•Authored 150-page IoT playbook for Microsoft; over 750K downloads across global audience.

Area of Expertise

  • Information & Communications Technology
  • Media & Information

Topics

  • Machine Learning & AI
  • Generative AI
  • Microsoft Fabric
  • Microsoft Azure
  • Microsoft Data Platform

Let’s Get Kubing! Introduction to AKS

In this session, you will be introduced to Azure Kubernetes services with a introduction to Kubernetes in general, it’s goals and purpose then we will demonstrate its Azure implementation and how to take advantage of this type of orchestration in the cloud.

Kick Ass with Azure Synapse

Want to know what makes Azure Synapse Analytics out perform the competition? Want to dig deep into the core of Azure Synapse and understand Distributions, Partitions, DWU (Data Warehouse Units), Views, Materialized Views, Result Set Caching. Ever questioned when and why you would use Serverless SQL vs Dedicated SQL Pools vs Spark pools?
This is the session for you!

Microsoft Azure AI Fundamentals

Join us for an introductory overview of Azure AI services. This workshop consists of lectures, activities, and hands-on labs to become familiar with all the requisite knowledge to take the AI-900 exam. This workshop is fun and interactive, hope to see you there!

Mastering Azure IoT Edge

This is session will demonstrate the concept of Azure IoT Edge Devices while deploying Modules and updating the IoT Edge Runtime. CI/CD with Azure DevOps will be used to automatically deploy IoT Edge Modules. Also a demonstration of Edge Gateway, routes, ports and certificates. Finally, introduction into Offline Support with Local Storage will be demonstrated.

Machine Learning in Azure Synapse

Azure Synapse is not only about Ingestion, preparation, transformation, enrichment and serving of the data, but also a powerful unified platform that allows Data Scientists and Data Engineers to collaborate of Machine Learning models and apply predictions whether in SQL or in regular notebooks to deploy and serve well within the Azure Synapse environment.

Swimming in the Lake of Microsoft Fabrics

Attend this session to learn more about Microsoft Fabric and how it enables organizations, and individuals, to turn large and complex data repositories into actionable workloads and analytics, and is an implementation of data mesh architecture.
Come learn about OneLake and LakeHouses, and the unification of lakehouses in the platform.
We will discuss Data Engineering, Data Science concepts, Data Factory (Pipelines and DataFlow), Real Time Analytics (KQL), and the use of Power BI for visualization.
You will leave this session feeling excited and with the desire to go use this remarkable technology to achieve great data analytics for your company.

Kick Ass with Azure Machine Learning

In this session, we will discuss and demonstrate the power of Azure Machine Learning. We will use several models, training, evaluate and serve these models to be used from Web services. We will demonstrate the use of the Visual Designer, AutoML and hardcore notebooks for taking control of the entire process of Machine Learning in Azure.

Introduction to Azure IoT Central

This session will explain and demonstrate the value of Azure IoT Central and shows the value behind Device Templates, building Rules and Actions, Views, Device Groups, Analytics, Dashboards, Jobs and demonstrate the use of IoT Central REST API

Kick Ass with Azure DevOps

In this session, we will discuss and demonstrate the following topics: Continuous Integration and Continuous Deployment, Building IaC using ARM templates and Terraform, building pipelines, Github Actions and using productive features in the Azure ecosystem for DevOps.

Developers Welcome! For Azure AI & Machine Learning

You don't have to be a data scientist or a PHD holder to be
productive with Azure Machine Learning. In this session, we
will demonstrate the tools Azure offers for you to be successful
in starting your journey into the world of Artificial Intelligence.
We will discuss the importance of big data in ML, and explore
best practices for analyzing trends and patterns. We will explore
Azure ML, Azure ML services, Visual ML, Automated ML and Notebook based ML

Getting into Azure Machine Learning DevOps

In this session, we will review the benefits of using Azure DevOps from Dashboards, Boards, Repos, Pipelines, Test Plans and Artifacts from the AI & Machine Learning perspective to manage data, models, training of models and deployments. More importantly, how to set Azure Pipelines for CI/CD of pre-deployment and post-deployment Gates to accomplish your end goal.

Generative AI and LLM Mambo Jambo

This session will introduce you to the concepts, theory and practical use of Generative AI in the world of AI Large Language Models, whether you use GPT-4, Dalle-3, Llama or other models to interact with Generative Text and Images. The idea behind agents, gatekeepers and the orchestration needed using Langchain or Sematic Kernel. You will gain an understanding of what is RAG (Retrieval-augmented generation), what is ReAct (Reasoning and Acting) and what is COT (Chain of Thought) and how they influence the execution of LLM (Large Language models).
You will gain solid understanding of the topics and get excited about going back and start dreaming or hallucinating, whichever you prefer.

Building an IoT device and Connecting it to Azure IoT

In this workshop, you will learn about Azure IoT offerings while building a prototype device from scratch and connecting it to the cloud. We will begin by imaging a Raspberry Pi development board with Windows IoT Core and build out a hardware solution using a sensor. We will then build a UWP application that will allow us to read and view the values obtained from the sensor. From there we will register and connect our device to Azure using the IoT Hub. Telemetry data will start flowing to Azure where we will see the values being received in real time, and develop alerts and reports that make sense based on this data. We will also discuss the importance of other Azure services in an IoT system such as analytics, dashboards, mobile applications, and artificial intelligence.

Azure Machine Learning Starting Guide for Developers

You don't have to be a data scientist or a PhD holder to be
productive with Azure Machine Learning. In this session, we
will demonstrate the tools Azure offers for you to be successful
in starting your journey into the world of Artificial Intelligence.
We will discuss the importance of big data in ML, and explore
best practices for analyzing trends and patterns. We will explore
Azure ML, Azure ML services, Visual ML, and Automated ML

Azure IOT with Raspberry Pi 400

In this session, we will use Raspberry Pi 400 to present the session itself and send telemetry to the IoT Hub while Device provisioning in Azure and send back commands from Device Twins to the Pi device to execute. We will demonstrate how to use the device as an Edge device to host ONNX models to perform AI and Machine learning on the device itself.

Azure IoT State of the Union

In this session, you will be presented with the current state of affair in the IoT world. We will discuss the offering from Azure IoT in regards to IoT Hub, IoT Central, IoT Edge, Device Twins and many other important aspect of being successful with implementing IoT solutions. We will also touch on the importance of running AI & Machine Learning models on the Edge device.

Azure DevOps for Machine Learning

In this session, we will review the benefits of using Azure DevOps from Dashboards, Boards, Repos, Pipelines, Test Plans and Artifacts from the AI & Machine Learning perspective to manage data, models, training of models and deployments. More importantly, how to set Azure Pipelines for CI/CD of pre-deployment and post-deployment Gates to accomplish your end goal.

Building NativeScript Mobile Apps for Sitefinity 12.0

In this session, we'll see how simple it is to use NativeScript to develop iOS and Android apps to administer a Sitefinity application using the OData Layer of its REST API. Pages, news, blogs, lists, events and custom modules will be administered from the app to showcase the building blocks of using a headless CMS system.

Workshop: Building a Sitefinity Application in a Day

In this all day workshop, we will build a fully functional Sitefinity application with templates, widgets, security and deployment to Azure Cloud. Customizations with Tips and Tricks will be demonstrated throughout the day to get comfortable with what we believe is the best CMS system on the market. Bring your laptop and a trial license of Sitefinity and let's have fun!

Building MVC Widgets for Sitefinity 12

In this session, we will build MVC widgets for Sitefinity using MVC and Razor while using Angular for the Custom Designers demonstrating the best techniques for building reliable and scalable architectures in Sitefinity.

Devintersection and next GenAI Conference Sessionize Event

September 2024 Las Vegas, Nevada, United States

DevSum 2024 Sessionize Event

May 2024 Stockholm, Sweden

Stir Trek 2024 Sessionize Event

May 2024 Columbus, Ohio, United States

Microsoft Azure + AI Conference Spring 2022 Sessionize Event

April 2022 Las Vegas, Nevada, United States

Microsoft Azure + AI Conference Fall 2021 Sessionize Event

December 2021 Las Vegas, Nevada, United States

Microsoft Azure + AI Conference Spring 2022 Sessionize Event

April 2021 Las Vegas, Nevada, United States

ProgressNEXT 2019 Sessionize Event

May 2019

Lino Tadros

Technical Fellow and Distinguished Executive

Orlando, Florida, United States

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