Agile IT Architecture

I started to develop this application in Angular 6 deployed in gihub.com as a page app. This is fun to do. I decided to do this content as I do swap a lot of different technologies depending on the customer engagements or assets to develop.  Maybe it can be useful for other.

We presented last week an important asset we have developed to integrate a predictive scoring with business rules and chatbot for doing product recommendation. This open source content, visible at  https://github.com/ibm-cloud-architecture/refarch-cognitive-prod-recommendations , and includes how to use IBM Decision Composer to start modeling decision with Decision Model Notation, and move the content to IBM Operational Decision Management. Then we modified the data model and implement product recommendation rules. We highlight how to deploy ODM On IBM Cloud Private the Kubernetes platform, how to implement ODM simulation to find the best rules implementation to improve business impacts, and how to leverage churn scoring to propose discount. This asset explains the integration with a chatbot developed with Watson Assistant, and a larger solution, named "green compute" , which addresses a solution implementation and analytics reference architecture. The use case is detail

Hybrid cloud integration represents interesting challenges on how to protect existing SOA services with new cloud-native web applications and microservices. Co-existence is a must on today IT landscape. I'm leading an effort at IBM to implement a complete hybrid solution where architects and developers will be able to learn best practices around: how to develop a SOAP app in Java using JPA, JAXWS deployed on WebSphere Liberty how to develop gateway message flow within IBM Integration Bus how to define API product with API Connect, and use secure communication with TLS for backend APIs how to set up secure connection from IBM Cloud public to on-premise service using IBM Secure Gateway how to develop a Single Page Application with Angular 5 using a Test Drive Development approach with nodejs/expressjs back end how to secure the web app with passport how to access existing LDAP service for user authentication how to perform CI/CD in the hybrid world how to monitor all thos

The new trends of IT development for business applications group three important needs: how to develop and deploy applications, business processes and decisions faster than ever to operate at a massive scale.  Those applications include new capabilities like chatbot, cognitive integration and machine learning capabilities to improve human to machine interactions developers want to use their own languages, components, APIs, and frameworks so they can develop quickly new business application, deploy. measure and learn from production execution. They need to get the job done, agile way, building by short iteration and incremental capabilities that bring quick business values to the line of business. They need to adopt lean startup approach, A/B testing and pivot if needed.  Access to resources, compute capabilities, added value services, on demand, as a  service consumption with simple pricing, and test and run as they need to scale in and out.  In term of business leads, digital

Our team just publicly published a white paper on how to use Watson Discovery on the IBM Cloud platform to create content collections and custom cognitive applications. It is related to the training tutorial I co-developed with colleagues at IBM but adds other best practices and business use cases. You can read this pdf here:  IBM-Advantage-Paper-for-Cognitive-Discovery.pdf Please give us feedback.

Today I presented to IBM Reference Architecture team, with Guilhem Molines, IBM Operational Decision Management product architect, a new solution we are using during our consulting engagements that leverages the Watson conversation to gather customer's input and send to a decision service running in ODM. The solution is implemented as part of github.com ( https://github.com/ibm-cloud-architecture/refarch-cognitive-prod-recommendations ) so every IBM customers or consultants can study it. Integrating chatbot in business applications, is definitively a trend started two years ago, and a lot of companies are still implementing solutions today. As part of the continuous improvement and optimization of the business operations, the next step is to use the data gathered during the conversation and apply business rules on top of it to deliver next best action or best recommendations. This will limit the human intervention to complex cases only, offloading the workload to rule engine. To

I am part of a group developing reference architecture and assets for IBM Cloud division. One of the major and most visited content is the Cognitive Reference Architecture  https://www.ibm.com/cloud/garage/content/architecture/cognitiveArchitecture/ We are starting a set of Video on Cognitive Reference Architecture  https://www.ibm.com/w3-techblog/solutions/2017/11/cognitive-ai-solutions/ And the implementation is progressing at  https://github.com/ibm-cloud-architecture/refarch-cognitive Feel free to contact me for enhancements and feedback.