IBM Developer

Forests are one of our planet’s most powerful carbon sinks, absorbing CO₂ and storing it as biomass. But how do we measure this impact accurately? Biomass mapping uses advanced technologies such as remote sensing and AI to track carbon storage in forests, supporting climate action, carbon trading, and conservation efforts. Want to learn how this data is driving real change? Check out this insightful article: https://ibm.co/3EDSB6v #ClimateAction #Sustainability #CarbonTrading #AIforGood

Predicting climate impacts such as extreme weather, rising sea levels, and ecosystem shifts requires accurate and consistent data. This is where harmonized satellite data plays a game-changing role! By combining data from multiple satellites, we get a clearer, more reliable picture of Earth’s changing climate, helping scientists and policymakers make smarter decisions. Curious about how this works? Check out our latest blog on IBM Developer: https://ibm.co/4huE4c1 ----------- #ClimateChange #SatelliteData #Sustainability #AIForGood

Do you think your customers would appreciate being able to switch a chat context between phone, WhatsApp, Slack, Facebook, and other channels? If yes, you can deliver that experience! In this article, you can learn the steps to maintain a IBM watsonx Assistant conversation context across multiple platforms, which is crucial for users who need to perform actions using different hardware and applications: https://ibm.co/3WLkQGC

Discover how to build a gatherer using the java.util.stream package: one that processes a stream of strings into a stream of characters and one that processes the stream of characters into a stream of strings each with a maximum size. This article guides you how the gatherers are chained together to perform even more complex processing in a very concise syntax: https://ibm.co/3Q2hGdF

This article discusses the RAG solution, highlighting its importance, challenges, and optimization strategies by leveraging IBM watsonx capabilities. RAG solutions are beneficial across various industries, such as customer service, healthcare, finance, e-commerce, education, and legal, by providing precise, up-to-date, and consistent responses. Explore the benefits of #RAG and optimize your solutions with IBM watsonx: https://ibm.co/4aHAQ29

Learn how you can increase your application security posture by preventing stored cross-site scripting, a common type of web application vulnerability: https://ibm.co/3WQ2vrV This article will help you recognize whether your own applications are vulnerable, which features you need to review, and how to mitigate before malicious actors can exploit those vulnerabilites.

Did you know that remote sensing technology is transforming the way we estimate carbon sequestration? By combining #AI, machine learning, and geospatial analytics, IBM’s Above Ground Biomass APIs are making carbon estimation faster, more accurate, and scalable. Explore how cutting-edge tools are driving environmental sustainability and helping us tackle climate change with smarter, data-driven solutions. Read more about these advancements here: https://ibm.co/4hCtXBB Let’s build a greener future together! #Sustainability #RemoteSensing #CarbonSequestration #ClimateAction

Unit testing is a critical aspect of modern software development, but its challenges (complexity, time consumption, and cost) can impede progress, especially for large-scale or legacy systems. IBM watsonx Code Assistant addresses these hurdles with AI-driven capabilities. In this article, you can learn how IBM watsonx Code Assistant revolutionizes the testing process by leveraging the power of #AI to automate and optimize the process: https://ibm.co/3PPKE0t

Develop your #AI abilities by learning how to use LangGraph and the IBM watsonx.ai flows engine to set up and run an AI agent. In this tutorial, IBM Developer Advocate Roy Derks helps you configure tools for google_books and wikipedia, deploy a flows engine project, and run the application locally or in a browser. These tools will enable your agent to retrieve real-time data and interact with external APIs. Whether you’re creating simple workflows or more complex integrations, the CLI and SDK make it easy to bring your projects to life. Check out the full tutorial and video on IBM Developer: https://lnkd.in/dFTdRFD7

Before we get too far into 2025, let's take a quick look back at IBM Developer's top AI articles of 2024. Whether you're a developer building AI apps, a data scientist exploring new forecasting methods, or an enthusiast diving into the world of LLMs, this curated list of 2024's top 10 blogs, articles, and tutorials will help you stay ahead of the curve and inspire your next AI project. Explore the best content that will shape your generative AI journey this year! https://lnkd.in/gBt59cQw ---------------------- #genAI #AI #LLM