Real NET Docs Show - Serverless Machine Learning v3.pptx

Editor's Notes

• #9: ML: Uses mathematical algorithms that can teach itself to evolve while data changes. Supervised  Labeled data. Non-supervised  Pattern discovery using non-labeled datasets.
• #11: An AI-based software de IA that establishes a conversation with a human using natural language. It is considered as one of the most advanced human-machine interactions. Advantages: Chatbots can combine millions of data from different sources. Chatbots can be available 24/7/365. Chatbots can be integrated into (almost) any platform. Chatbots can improve the user experience and keep human effort to a minimum.
• #13: Computer vision is one of the core areas in Artificial Intelligence. It focuses on creating solutions that allow apps to "see" the world and make sense of it through AI capabilities.
• #15: Azure Cognitive Services is a suite of services and APIs backed by machine learning that enables developers to incorporate intelligent features such as facial recognition in photos and videos, sentiment analysis in text, and language understanding into their applications.
• #30: Twilio is a cloud Communications Platform as a Service (CPaaS) that allows you to build applications through APIs and SDKs available for several languages and platforms (PHP, Ruby, C # /. NET). Some features that developers can integrate into their apps with Twilio include: Text messages Voice messages Video calls WhatsApp messages
• #36: On-premises What media should I use to keep backup? What is the right size of servers for my business needs? How do I deploy new code to my server? Whay happens in case of server hardware failure? Who monitors my app? What about server security? Which OS do I need? Fortunately virtualization came to the rescue. One great thing about the cloud evolution is that each phase leads to less waste. Infrastructure as a Service leverages hardware in a way that you can stop worrying about the hardware and focus on the operating system and your virtual machines. You can get better utilization of your resources and it’s faster and easier to provision new instances. IaaS addresses many of the questions we dealt with on-premises, and more importantly paves the way to the cloud. Platform-as-a-Service is the next evolution: host a runtime, so we stop worrying about hardware and operating system and even dependencies and just focus on our project. We’re no longer in the business of constantly patching an OS or even making sure dependencies are installed to run a web server or host a process. PaaS simplifies the process even more and provides a mature platform for code that must run at scale because you can still size (scale up) and specify instances (scale out) to manage your workloads. Serverless takes us to the ultimate cloud native experience: we simply focus on code. It doesn’t mean there is no server, because we still need to run on infrastructure, but the infrastructure is further abstracted so there is less server in our scope of responsibility and more code. We focus on what is unique for our business and spend more time on innovation, less time on answering the myriad questions that exist with the previous phases. Serverless is cloud native. But what does that really mean?
• #39: Write your code in C#, nodeJS, Python, F#, PHP, PowerShell, Bash or Batch You can extend your functionality by using NuGet or Node PM You can even include DLLs to be called from your code or EXEs and execute them
• #40: Other scenarios Devices feed data such as temperature, into Stream Analytics, then AF or Logic Apps cleans, processes and transforms this raw data into structured data that is stored into a database. Create a Timer Trigger function in order to schedule a function that runs at a specified frequency, for example every 15 minutes or exactly at 9 am in Europe every Monday to connect to a database and clean it, for instance to remove non-valid data