ibmdevelopermea Goto Github PK

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Name: IBM Developer MEA

Type: Organization

Bio: Content hub for our hands-on content.

Location: Dubai, UAE

Blog: https://www.meetup.com/IBM-Cloud-MEA/

IBM Developer MEA's Projects

a-currency-conversion-app

Let's deploy a currency conversion app using Red Hat OpenShift!

Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine learning model, fairness gives us a way to understand the practical implications of deploying the model in a real-world situation.

ai-integrity-improving-ai-models-with-cortex-certifai

Explainability of AI models is a difficult task which is made simpler by Cortex Certifai. It evaluates AI models for robustness, fairness, and explainability, and allows users to compare different models or model versions for these qualities. Certifai can be applied to any black-box model including machine learning models, predictive models and works with a variety of input datasets.

artelligence2021

Within a bank’s loan department, a customer’s application undergoes a lot of scrutiny before a decision of approval or rejection is made. The evaluation process can take a while, which opens the possibility of the bank losing a potential customer. To reduce the decision-making time and to increase the accuracy of the decisions being made, we can now use machine learning solutions. This allows customer representative to make predictions about a loan application quickly.

automate-model-building-with-autoai

This repo contains the assets used for a workshop in the MEA Developer Summit 2021 where we use IBM's AutoAI service to build a telco churn predictive machine learning model.

build-and-compare-your-machine-learning-models-the-easy-way-with-ibm-spss-modeler

This repo containst the assets used for a workshop we use IBM SPSS Modeler to build a credit risk predictive machine learning model that help in deciding whether a bank should accept a customer's loan application or reject it.

build-cloud-native-event-stream-apps-with-open-liberty-and-quarkus

Kafka provides a framework for analyzing streaming data, which is highly scalable and offers high performance. Kafka is a distributed system, which reduces downtime and also allows it to handle high-velocity and high-volume data. The reactive programming paradigm is a key skill for Apache Kafka-centric applications.

build-your-ai-chatbot-with-zero-coding

In this workshop, we are going to create a customer service Assistant for a bank. We are looking to automate some of the top questions that are reaching our agents via support chat on our site,in this scenario - people trying to transfer money to friends or family.

build-your-machine-learning-models-efficiently-with-spss

In this tutorial, we will use IBM Cloud Pak for Data to build a predictive machine learning model with IBM SPSS Modeler and decide whether a bank customer will default on a loan. IBM Cloud Pak for Data is an interactive, collaborative, cloud-based environment that allows developers and data scientists to work collaboratively, gain insight from data and build machine learning models.

carekit-hyperprotect-lab

CareKit is an open source framework that helps users better understand and manage their health by creating dynamic care plans, tracking symptoms, connecting to care teams, and more. CareKit itself doesn’t include a back end, so it’s up to the developers to include a back end of their choice. This typically means implementing the synchronization API for their cloud provider of choice. IBM was one of the first cloud providers to implement the synchronization API, and consumed the Hyper Protect set of offerings to provide a HIPAA-ready back end.

cfc-water-ridgewood

The example Node-RED flows and dashboards can help you build a water quality dashboard using GeoJSON. After completing this tutorial, you will be ready to modify these example flows and dashboards to create your own map and data visualization solution.

cicd-in-kubernetes-service-with-integration-of-slack-platform

As enterprises move workloads to the cloud, transparency and visibility across development and operations (DevOps) teams are really important. The real power of the Slack messaging platform is to help teams collaborate and coordinate their work no matter where they are located, in the field office, at home, or anywhere around the globe. This tutorial shows you how to set up a toolchain of IBM Cloud services that uses a continuous integration and continuous delivery (CI/CD) stack to maintain and deploy applications running on a Kubernetes cluster. Then, it shows how you can enhance the collaboration experience within your DevOps team by integrating the toolchain with the Slack platform so your Slack channel receives notifications about deployment activities.

code-engine-microservices

Deploy a Microservices App to IBM Cloud Code Engine

connect-a-secure-cloudant-database-instance-to-your-web-application

In this workshop you will learn how to connect your IBM Cloudant instance with your application.

create-a-customer-service-chatbot-using-the-new-watson-assistant-no-code-

In this workshop, you can use the tools provided by the Assistant service with skills that will directly help your customers. We will walk you through the process of creating your first Assistant-powered chatbot through its intuitive interface.

create-your-first-smart-virtual-assistant-on-ibm-cloud

In this workshop, we are going to create a customer service Assistant for a bank. We are looking to automate some of the top questions that are reaching our agents via support chat on our site in this scenario - people trying to transfer money to friends or family.

creditrisk-aisummit

Automation and artificial intelligence (AI) are transforming businesses and will contribute to economic growth via contributions to productivity. They will also help address challenges in areas of healthcare, technology & other areas. At the same time, these technologies will transform the nature of work and the workplace itself. In this code pattern, we will focus on building state of the art systems for churning out predictions which can be used in different scenarios.

cross-sell-in-banking

This is a CP4D demo asset that focuses on Up/Cross sells in the Banking industry focusing on targeting customer for the right products. In other words it predicts which customers are more likely to buy a specific product. This allows banking sector employees to determine what services their customers would be interested in.

data-science-lifecycle-collect-clean-predict-analyze-your-data

Customer churn is an important aspect for any business, it gives them insights about their prospective customers. In this tutorial we will be predicting customer churn of car owners. We will be utilizing Watson data refinery to alter our data, and then use AutoAI to rapdliy develop a classfication machine learning model in a matter of minutes and predict our customer chrun.

datalifecycle

Lets collect, clean, predict and deploy your data science pipeline on IBM Cloud. As we all know a data science pipeline consists of various steps, which certainly starts with collecting your data from different data sources, then we come to understanding the data making sure that we are able to get meaning out of it and we clean it by managing missing values and normalizing it and then we train and deploy our machine learning model which is followed by getting feedback from the models result and re-evaluating it.

developerfestival21

Resources for you from our three-day, virtual conference.

easily-build-a-custom-language-analysis-model-with-watson-knowledge-studio-nlu

In this tutorial, learn how to use Watson Knowledge Studio to annotate reviews for auto repair facilities. After annotating the reviews, you can then train a machine learning model that can analyze the reviews. The model is able to determine what types of repairs were needed by the vehicle and how satisfied the customer was with the quality of work. By analyzing the reviews associated with a given auto repair shop, you can generate insights about that shop's overall performance to determine what types of repairs they're most (and least) skilled at.

easily-secure-your-spring-boot-app-with-low-code-no-code

Sample application to demonstrate the usage of App ID Spring Boot Starter

emea-regional-deploy-your-ai-models-using-serverless-containers

This tutorial explains how to use the IBM Cloud Code Engine managed serverless platform system to deploy the Model Asset Exchange (MAX).

enhance-covid-communication

In times of crisis, chatbots can help people quickly find answers they need to critical questions. In the case of a pandemic like COVID-19, people might be trying to find basic information about testing, symptoms, community response, and other resources.

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