IBM watsonx

Introducing the next generation of watsonx Code Assistant – helping developers code smarter, not harder. 💻 Powered by IBM Granite code models, this new generative #AI tool helps simplify software development and application modernization at the enterprise level. See how it can help you and your business: https://ibm.co/3Yhsb0x

Are you ready to report under the Corporate Sustainability Reporting Directive (CSRD)? IBM Envizi can support your organization with: ↪ Assessing data requirements ↪ Implementing processes for data collection and reporting ↪ Preparing and reviewing responses to questions in the reporting framework Take the first step toward meeting your disclosure requirements with our self-guided product tour: https://ibm.co/4gcttlj

The general availability of IBM watsonx․governance 2.1 feature releases are here to accelerate responsible, transparent and ethical AI workflows. 🙌 New innovations include: ✅ A streamlined user experience with Amazon SageMaker, now available as a SaaS offering on Amazon Web Services (AWS) marketplace. ✅ Evaluation Studio that enables faster time to production for businesses to adopt AI at scale. ✅ Built-in AI guardrails to safeguard businesses with responsible AI practices and more. Get the details here: https://ibm.biz/BdGxbA

We are excited to announce the Software-as-a-Service (SaaS) availability of Maximo IT! https://ibm.co/3OPZOSI This offering combines IT service management with IT asset management, and integrates seamlessly with organizations' existing systems, while providing: ✅ Increased flexibility to customize and scale solution ✅ Enhanced data protection for sensitive IT asset data ✅ Reduced time and effort for deployment and initial productive use

The future of AI is Agentic Let's learn the basics: 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻 An AI agent is a system designed to reason through complex problems, create actionable plans, and execute these plans using a suite of tools. These agents exhibit advanced reasoning capabilities, memory retention, and task execution abilities. 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗼𝗳 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 1. Agent Core: The central processing unit that integrates all functionalities. 2. Memory Module: Stores and retrieves information to maintain context and continuity over time. 3. Tools: External resources and APIs the agent can use to perform specific tasks. 4. Planning Module: Analyzes problems and devises strategies to solve them. 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 1. Advanced Problem Solving: AI agents can plan and execute complex tasks, such as generating project plans, writing code, running benchmarks, and creating summaries. 2. Self-Reflection and Improvement: AI agents can analyze their own output, identify problems, and provide constructive feedback. By incorporating this feedback and repeating the criticism/rewrite process, agents can continually improve their performance across various tasks, including code production, text writing, and answering questions. 3. Tool Utilization: AI agents can use tools to evaluate their output, such as running unit tests on code to check for correctness or searching the web to verify text accuracy. This allows them to reflect on errors and propose improvements. 4. Collaborative Multi-Agent Framework: Implementing a multi-agent framework, where one agent generates outputs, and another provides constructive criticism, leads to enhanced performance through iterative feedback and discussion. The business world is not yet ready to fully adopt agents; they are still in the very early experimental stage, and that's why everyone is implementing RAG like crazy, as it is a safer bet. But believe me, AI agents are where it's at—and at the current pace of innovation, we will soon start collaborating with AI agents instead of humans for some specific tasks. ____ Please repost it ♻️ and follow me, Armand Ruiz, for more similar posts

I lead Product Management for a suite of products, including our flagship IBM watsonx.ai, and I’d love to hear your honest opinion. This weekend, I have a request for you: Please try the product and share your real feedback. watsonx.ai is IBM's AI development environment, designed to help you build solutions across the spectrum—from traditional ML models to cutting-edge GenAI applications. Whether you’re exploring LLMs, creating agents, or developing RAG solutions, watsonx.ai supports your AI journey. Here’s what I’d love to know: 👉 Sign-up/Login experience 👉 Your first impression when landing on the product 👉 How easy it was to get started with LLMs 👉 If you’re a developer, how easy it was to obtain API keys and integrate with your favorite frameworks, such as LangChain, LlamaIndex, or CrewAI 👉 Things that surprised you—whether pleasantly or not—about the product Your insights mean the world to our team. This is a good chance to help shape and improve the product. Link to get started: https://lnkd.in/g4pYRDT8 Drop your feedback in the comments or DMs — I can’t wait to hear from you!

You need to trust the data that trains your AI models. That's why IBM helped co-create the first cross-industry data provenance standards. Learn more about these standards and the impact on data governance here.👇

The new AI at Meta Llama 3.3 70b Instruct model is available now on watsonx․ai. Check out the refreshed model release that performs better at coding, reasoning, tool use and general knowledge tasks - all at a significantly lower cost: https://ibm.biz/BdGBp5

Incredible week at AWS re:Invent with exciting announcements! At IBM, we’re strengthening our collaboration and partnership with AWS to drive innovation and deliver value. Here’s a recap of the key AI announcements: - We’re optimizing our Gen AI technology for AWS environments, including Amazon SageMaker and Amazon Bedrock. - Our IBM Granite models (enterprise-grade foundation models) are now available on Amazon Bedrock and SageMaker JumpStart. - The latest Granite 3.0 models are supported on AWS Inferentia and Trainium-based instances, offering cost-efficient compute options. - we are working on future exploration of watsonx support for Trainium2 for high-performance AI training and inferencing. - IBM watsonx.governance now has improved integrations with Amazon SageMaker for customizable workflows and unified AI model lifecycle governance. - IBM Guardium AI Security is available on AWS Marketplace for discovering, securing, and governing AI deployments, including “shadow AI.” - IBM Instana Generative AI Observability for Amazon Bedrock and SageMaker, optimizing application performance and cloud resource use. - IBM software and consulting offerings are now available through IBM Business Partners on AWS Marketplace in multiple global regions. And this is just to name a few! More details in the official press release: https://lnkd.in/gVB3Pm4n Thanks AWS for the partnership 🥂

We are excited to announce IBM watsonx Code Assistant is now available! This enterprise-grade code assistant is designed to accelerate the software development lifecycle by offering real-time code assistance. It supports Python, Java, C, C++, Go, JavaScript, Typescript and many more programming languages. Start your 30-day free trial today: https://ibm.co/3OIJ2Fc