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DIY AI WITH AZURE COGNITIVE SERVICES
- 1. DIY AI WITH AZURE COGNITIVE SERVICES PRIYANKA SHAH AI42
- 2. Azure Cognitive services Basics Agenda Concepts and Types How to : Tutorials Demo
- 3. I AM… • AI/IoT Offering Leadership @Avanade • Microsoft AI MVP • Data science and Big data solution engineer. • Full stack developer. • Passionate about new technologies, love to code, blog / talk about AI, ML.NET, Microsoft technology stack. • Environment enthusiast • Twitter: @fuzzymind1
- 4. AZURE COGNITIVE SERVICES • AI IS A NECESSITY , NOT A LUXURY ANYMORE!
- 5. WHAT ARE AZURE COGNITIVE SERVICES? bring AI within reach of every developer— without requiring machine-learning expertise. Vision, Speech, Language, Web Search, and Decision.. create applications that can see, hear, speak, understand, and even begin to reason.. Cognitive Services are APIs, SDKs, and services available to help developers build intelligent applications.
- 6. Types of Cognitive Services Anomaly Detector Personalizer Content Moderator DECISION Bing Auto Suggest Bing Custom Search Bing Entity Search Bing News Search Bing Image Search Bing Spell check Bing Video search Bing Visual search Bing Web search WEB SEARCH Immersive reader Language Understanding Text Analytics. Q and A maker Text Translator LANGUAGE Speech to Text Text to Speech Speaker Recognition Speech Translation. SPEECH Computer Vision Custom Vision Face recognition Ink / Form recognizer Video Indexer VISION
- 7. Usage… Need to choose the algorithm and need to train on very specific data. Can use a generalized solution. Access solution from a programming REST API or SDK. . Use Machine Learning when… Use Cognitive services when…
- 8. VISION APIs
- 9. SPEECH APIs
- 10. LANGUAGE APIs
- 11. DECISION APIs
- 12. Features of Cognitive services $ $
- 14. Just Get your Azure subscription!!! And get, set, go…
- 15. Q&A
Editor's Notes
- Here the plan of journey. We will start by the beginning by understanding what serverless. Then We will talk about Azure Logic App and Flow. We will then spend sometimes and I will show you a few demos with Azure Functions And we will finish by an example of how all those services can work all together.
- Logic apps are great at connecting resources across the cloud, but they are also capable of integrating with on-premises resources with the on-premises data gateway. That means you can, for example, kick off a workflow in the cloud that results in the execution of a store procedure on your SQL database tucked away in your corporate data center.
- With serverless, the server, including hardware, infrastructure and configuration of the operating system are all abstracted away. You don’t even have to worry about a web service because it’s provided as part of the platform. Serverless compute is a fully managed service. Some refer to it as Functions as a Service OS and Framework patching is performed for you There is zero administrative tasks and no need to manage any infrastructure You just deploy your code (function) and it runs Your code runs within seconds and for typically shorter periods of times (minutes vs. hours or days) Serverless compute scales quickly (almost instantly) and vastly Automatically scales within seconds No scale configuration is required (there is no way to configure scale or limits) Scales to match any given workload. Scales from zero to handle tens of thousands concurrent functions invocations within seconds Pay only for the time your code is running Serverless compute reacts to events React, in near real-time, to events and triggers Triggered by virtually any event from both inside and outside of Azure A key differentiator about serverless is micro-billing. Serverless resources are billed only when used. That means that you aren’t paying to anticipate an increase in workload, but only when the workload hits. Serverless scales with your business. Let’s take a closer look at micro-billing.
- Microsoft Tech Summit FY17