Vidyasagar Machupalli

A predictive Machine Learning model from Build to Retrain

This post is an excerpt from our solution tutorial that walks you through the process of building a predictive machine learning model, deploying it as an API to be used in applications, testing the model and retraining the model with feedback data. All of this happening in an integrated and unified self-service experience on IBM Cloud.

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Secure your container images before deployment with Vulnerability Advisor

This post is an excerpt from a solution tutorial - "Continuous deployment to Kubernetes". In this post, you will explore the Vulnerability Advisor. The vulnerability advisor is used to check the security status of container images before deployment, and also it checks the status of running containers.

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Anomaly detection in mobile sensor data using Machine Learning

This blog post is an excerpt from our solution tutorial - "Gather, visualize, and analyze IoT data". The tutorial walks you through setting up an IoT device, gathering mobile sensor data in the Watson IoT Platform, exploring data and creating visualizations and then using advanced machine learning services to analyze data and detect anomalies in the historical data.

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Setting up Terraform and IBM Cloud Provider on Windows

This blog post is a quick guide on how to setup Terraform and IBM Cloud Provider on Windows operating system.

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A hybrid Cordova mobile app with Push and Analytics in minutes

As promised while introducing "Tutorials to get your mobile development up and running", we are continuing our efforts to add more mobile solution tutorials. After quickly scaffolding a native iOS-Swift and Android mobile app with Push and Analytics, it's time to bring in the hybrid mobile app development flavor to the game with Cordova - Apache Cordova is an open-source mobile development framework. It allows you to use standard web technologies - HTML5, CSS3, and JavaScript for cross-platform development.

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For Performant Swift Serverless actions…

While coding and drafting “Mobile app with a Serverless Backend”, We came up with an idea to use Swift on the server-side for the iOS app (it’s an interesting use case).So, that it will cater the full stack swift developers out there. The same is true for the Android version of the app as well.

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Quickly scaffold a native mobile app with Push and Analytics

As mobile app developers, few of the many priorities in our bucket are engaging the users through Push Notifications and monitor the app usage through Mobile Analytics.

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Tutorials to get your mobile development up and running

Recently, we announced new tutorials to get you started on IBM Cloud. In continuation of our effort to bring in structured and well-defined tutorials, we are adding a mobile section

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Enhance a chatbot conversation with Context Variables and System Entities

Imagine, you are in a conversation with a chatbot and you feel that the human angle is completely missing because the bot starts it's dialog with a usual "Hi" or "Hello". You may want to personify the conversation by adding the name of the person (who's logged in) to the boring "Hi" or "Hello". Ever thought of this? It's not just personification, How about wishing appropriately based on the time of the day someone invokes your chat application? Also, how about passing values back and forth during a conversation between the nodes or from application to a node?

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