IBM Developer

Learn how to automate the conversion of Maximo Java customizations into #Python automation scripts using watsonx.ai: https://ibm.co/4bP4EdJ IBM introduces automation scripts in Maximo 7.5! These scripts allow users to implement custom logic without requiring system downtime, ensuring seamless deployment and continuous availability. This approach enhances efficiency, minimizes disruptions, and provides a more flexible way to customize Maximo.

Discover how you can use alias queues to stream messages from a queue to a topic, all without making changes to your applications! The application used in this tutorial is a simple example which only outputs received messages to the terminal, but you might choose to connect several applications: one which performs analytics, one which filters and stores the messages to use as test data, or anything else! Crucially, you can do all of this, without interfering with your normal message flows! Want to know more about IBM MQ Console to stream messages to topics, using an alias queue as our streaming queue? Check out this tutorial by IBMer Simone J.: https://ibm.co/4ihKyve

Streaming queues allow you to deliver near-identical copies of every message that comes on to a chosen queue to a second queue. You can then process these copies in any way that you'd like in order to gain insight into your system, without disrupting normal operational processing. This article by IBMer Simone J. shows us how we can use the dmpmqmsg tool as a way of taking messages from streaming queues for further analysis, reviewing a more specialized streaming queues use case - message replay. Head to this tutorial to learn exactly how to do it: https://ibm.co/4ihFh6U

IBM Maximo Application Suite offers AI Broker, a tool designed to integrate generative #AI capabilities into #Maximo. AI Broker uses large language models (#LLMs) to enable advanced text-based functionalities such as classification, summarization, and sentiment analysis, boosting work order management with enhanced intelligence. Check our step-by-step guide to integrate AI Broker in IBM Maximo Application Suite for smarter work order management and AI-driven insights: https://ibm.co/4kDQY9s

Retrieval-Augmented Generation (#RAG) is a powerful architecture for chatbots, blending real-time document retrieval with generative responses to create more accurate and contextually relevant answers. IBM Cloud has a #DA (Deployable Architecture) which includes deployment of a sample Chatbot using IBM watsonx Assistant and #AI. This guide walks you through the process of updating the RAG chatbot knowledge base by adding new documents to enhance its real-time response accuracy: https://ibm.co/4hqrfyD

If you're not using virtual agents in your business, you're falling behind! At the recent Virtual Agents Dev Day hosted by IBM TechXchange, a group of AI experts showed you how easy it is to get started with this disruptive technology that combines natural language processing, intelligent search, and robotic process automation in a conversational UI. One of the highlights was the session "Come build AI agents and apps in minutes," with IBM Technical Product Manager Maya Murad. Join Maya Murad to kickstart your virtual agents building and deployment and then check out all the free sessions: https://ibm.co/4ieGvzP ------------ #AIAgents #LLM #chatbot #TechXchange

Set up IBM Environmental Intelligence platform to analyze agricultural land using NDVI and Geospatial APIs for climate-smart insights: https://ibm.co/4iCLji5 Read and learn to use Normalized Difference Vegetation Index (NDVI) satellite data to gain insights into vegetation density within an agricultural context. NDVI is particularly useful for identifying drought conditions by comparing current values to historical regional averages. It also supports efficient fertilizer and irrigation practices by guiding crop scouts to specific field areas that may need attention. ---------- #sustainability #AI #agricultural

Learn how to create and display a customized, shortened #AI factsheet link in IBM OpenPages using rich text format: https://ibm.co/4kYGuBG By following these steps, you can easily generate and display a custom, shortened AI factsheet link in OpenPages. This approach uses OpenPages' rich text capabilities to create a cleaner, more user-friendly hyperlink.

Retrieval-augmented generation (RAG) enhances large language model (#LLM) responses by incorporating external knowledge sources, improving accuracy and relevance. The effectiveness of a #RAG system depends on the quality of retrieved data. The principle of garbage in, garbage out applies—poorly segmented data leads to suboptimal results. This is where chunking becomes critical, optimizing storage, retrieval, and processing efficiency. Explore various chunking strategies and their impact on data retrieval efficiency in retrieval-augmented generation (RAG) systems: https://ibm.co/4bWBIAq

Read IBMer and Developer Advocate JJ Asghar's blog post on how you can use IBM Granite to leverage secure, local, and private open-source LLMs with a straightforward AI abstract classifier. Learn to use IBM Granite to help organize conferences and more: https://ibm.co/43S4KPG ------ #AI #Granite #LLM