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Submission: On March 23 via api from US — Scanned from DE
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Contact us My IBM Log in WATSONX.AI Now available—a next generation enterprise studio for AI builders to train, validate, tune and deploy AI models Start your free trial Explore the interactive demo OUR NEXT-GENERATION ENTERPRISE STUDIO FOR AI BUILDERS IBM® watsonx.ai™ AI studio is part of the IBM watsonx™ AI and data platform, bringing together new generative AI capabilities powered by foundation models and traditional machine learning (ML) into a powerful studio spanning the AI lifecycle. Tune and guide models with your enterprise data to meet your needs with easy-to-use tools for building and refining performant prompts. With watsonx.ai, you can build AI applications in a fraction of the time and with a fraction of the data. Watsonx.ai offers: * Multi-model variety and flexibility: Choose from IBM-developed, open-source and third-party models, or build your own model. * Differentiated client protection: IBM stands behind IBM-developed models and indemnifies the client against third-party IP claims. * End-to-end AI governance: Enterprises can scale and accelerate the impact of AI with trusted data across the business, using data wherever it resides. * Hybrid, multi-cloud deployments: IBM provides the flexibility to integrate and deploy your AI workloads into your hybrid-cloud stack of choice. Now available: watsonx.governance Accelerate responsible, transparent and explainable workflows for generative AI built on third-party platforms Try watsonx.governance News Open-source Mixtral 8x7b model now available on watsonx to help enterprises scale AI with trust and flexibility Get the ebook: How to choose the right foundation model KICK OFF YOUR AI USE CASES WITH WATSONX.AI Bring your own models or work with a suite of curated foundation models offered by IBM. Experiment with open source models through the IBM and Hugging Face partnership to meet the needs of your business. Collect, create and share knowledge Build a Q&A resource from a broad internal or external knowledge base across your company’s proprietary data to share organizational insights. With the help of generative AI, you can analyze multiple documents and data inputs, provide effective responses based on real-time information feeds and improve documentation quality. -------------------------------------------------------------------------------- Extract insights and discover trends Analyze large amounts of data to identify and extract insights or facts from documents or reports, customer interactions, security or IT incidents. Discover patterns, trends or anomalies that occur within the data with the use of generative AI. From the themes extracted, traditional AI and ML algorithms can then forecast and make predictions, such as calculating credit risk, future sales, demand forecasts and inventory management, specific to the user's needs and business requirements. Generate synthetic tabular data Generate synthetic tabular data to protect sensitive information during testing stages. Address data gaps and reduce the risk of exposing an individual’s personal data by taking advantage of data created artificially through computer simulation or algorithms. Further build and test AI and ML models with synthetic data to overcome data gaps and, in turn, improve speed to market with new AI solutions. -------------------------------------------------------------------------------- Generate content, technology and code New technology, content and code can be created through the power of generative AI to support developer and business user productivity across a range of business domains. The content generated can include lesson planning and curriculum development, ideas for marketing and sales campaigns, emails, blogs, social media posts, product demonstrations, synthetic data images, technical documentation, user persona development, automated reports, scripts and more. -------------------------------------------------------------------------------- GENERATIVE AI AND ML FOR BUILDERS Read the data sheet Bring together AI builders Use open-source frameworks and tools for code-based, automated and visual data science capabilities–all in a secure, trusted studio environment. Tune foundation models for your business Leverage foundation models and generative AI with minimal data, advanced prompt-tuning capabilities, full SDK and API libraries. Manage the full AI lifecycle Accelerate the full AI model lifecycle with all the tools and runtimes in one place to train, validate, tune and deploy AI models across clouds and on-premises environments. GENERATIVE AI CAPABILITIES WITH A PROVEN STUDIO FOR ML POWERED BY FOUNDATION MODELS Foundation models Clients have access to IBM selected open source models from Hugging Face, as well as other third-party models including Llama-2-chat and StarCoder LLM for code generation, and a family of IBM-trained foundation models of different sizes and architectures. These models start with Slate for non-generative AI tasks and the Granite series models that use a decoder architecture to support a variety of enterprise NLP generative AI tasks. See foundation models in watsonx.ai Explore how to choose the right foundation model -------------------------------------------------------------------------------- Prompt Lab Where AI builders can work with foundation models and build prompts using prompt engineering. Within the Prompt Lab, users can experiment with zero-shot, one-shot, or few-shot prompting to support a range of Natural Language Processing (NLP) type tasks including question answering, content generation and summarization, text classification and extraction. -------------------------------------------------------------------------------- Tuning Studio Prompt-tune foundation models as part of our Tuning Studio to help tune your foundation models with labeled data for better performance and accuracy. Prompt-tuning is an efficient, low-cost way of adapting a foundation model to new downstream tasks without retraining the model and updating its weights. Once your model is tuned, you can start using it in the Prompt Lab. Subsequent releases will include capabilities for model fine-tuning as part of our Tuning Studio.1 -------------------------------------------------------------------------------- Data science and MLOps All the tools, pipelines and runtimes powered by foundation models, a data scientist would need to support building ML models automatically. Automate the entire AI model lifecycle from development to deployment with connections to a variety of APIs, SDKs and libraries. EXPERIMENT WITH PROMPT ENGINEERING IN THE PROMPT LAB In the Prompt Lab, leverage foundation models to create better AI, faster. Experiment with different prompts for various use cases and tasks. With just a few lines of instruction you can draft job descriptions, classify customer complaints, summarize complex regulatory documents, extract key business information and much more. Quickly tune models for your specific business needs using the latest open source and IBM trained foundation models. Start your free trial Generate content, no code required From writing marketing emails to creating customer personas, watsonx.ai is your new creative partner. Just specify what you want, set the parameters and let the AI do the work. -------------------------------------------------------------------------------- Build a classifier without training With as few as zero examples, watsonx.ai can read and classify written input. For example, it can evaluate and sort customer complaints or review customer feedback sentiment. -------------------------------------------------------------------------------- Save time with high-quality summaries Like a skilled assistant, watsonx.ai can help transform dense text into your personalized executive overview, capturing key points from financial reports, meeting transcriptions and more. -------------------------------------------------------------------------------- Extract information with no pre-training Let watsonx.ai sort through the complex details and help you quickly pull the information you want from large documents. Identify named entities, parse terms and conditions and more. -------------------------------------------------------------------------------- Enhance your Q&A application Leverage retrieval-augmented generation (RAG) to generate factually accurate output that is grounded in a broad external or internal knowledge base. -------------------------------------------------------------------------------- BRING TRADITIONAL AI INTO PRODUCTION, FASTER Build models either visually or with code, deploy and monitor with end-to-end lifecycle explainability and fairness. Use MLOps to simplify model production from any tool and provide automatic model retraining. Start your free trial Create automated pipelines Single collaborative studio for data scientists to build, train and deploy ML models. It supports a wide range of data sources enabling teams to streamline their workflows. With advanced features like automated ML and model monitoring, users can manage their models throughout the development and deployment lifecycle. -------------------------------------------------------------------------------- Solve optimization problems Uncover prescriptive analytics to improve your business decisions, such as planning, scheduling, pricing, inventory or resource management with CPLEX Optimizer. These CPLEX decision optimization engines apply specialized mathematical algorithms and constraint-based programming to address your business objectives. Within the CPLEX solver, access tabular or graphical views that can be easily shared to enhance collaboration and accelerate time to insights. Develop predictive models visually With easy-to-use workflows, you can combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio. -------------------------------------------------------------------------------- Accelerate the entire AI lifecycle With AutoAI, beginners can quickly get started and expert data scientists can speed experimentation in AI development. AutoAI automates data preparation, model development, feature engineering and hyperparameter optimization. -------------------------------------------------------------------------------- Generate synthetic tabular data Generate a synthetic tabular data set leveraging your existing data or a custom data schema. You can connect to your existing database, upload a data file, anonymize columns and generate as much data as needed to address your data gaps or train your classical AI models. -------------------------------------------------------------------------------- Partner with us to deliver enhanced commercial solutions, embedded with watsonx.ai, to better address clients’ needs. Build with watsonx CLIENT STORIES Businesses are excited about the prospect of tapping foundation models and ML in one place, with their own data, to accelerate generative AI workloads Explore more client stories AddAI.Life “Watsonx.ai proved to be very useful. In our research, we liked how it helped our customers (and our development team) to simplify tasks and extend the assistant knowledge without the need to pre-set the whole dialog in advance. It is a next level for us and our customers.” — Jindrich Chromy, CEO and co-founder, AddAI.Life Read the case study Minijob-Zentrale “With this tool, we will need only a quarter of the time compared to before to plan, write and publish an article.” — Madeline Scholz, Minijob-Zentrale Read the case study Silver Egg Technology “IBM’s commitment to cultivating an ecosystem of enterprise AI solutions based on their trustworthy and secure AI platform has proven highly complementary to our go-to-market strategy. We look forward to further cooperation.” — Tom Foley, Founder and CEO, Silver Egg Technology Read the case study Blendow Group “We are just at the beginning of this journey. This endeavor with IBM has reinforced our conviction that legal intelligence is on the brink of a transformative era, and Blendow Group is poised to lead this revolution.” — Johan Wallquist, Chief Digital Innovation Officer, Blendow Group Read the case study Sicredi “We are encouraged by the results of this pilot, and we look forward to the next chapter in our Generative AI journey. IBM’s ethical and transparent approach to AI helps us put human values at the center of our transformation initiative.” — Alceu Meinen, Superintendent of AI and Customer Relations, Confederação Sicredi Read the case study REVIEWS What IBM watsonx.ai customers are saying on IBM Watsonx.ai: A Powerful AI Platform for Businesses of All Sizes Aug 8, 2023 IBM watsonx.ai helped me to solve natural language processing models and machine learning. I really found out that is a versatile platform wide range of business problems. The good thing about this is highly scalable and can be used by business of all sizes....... Siva S. Automotive Small-Business (50 or fewer emp.) Watsonx.ai for Generative AI and Forecast Marketing models Aug 11, 2023 The easy interface to define the parameters for generative AI. Also, the straightforward process to create Workflow and test if the data is good enough to generate forecasts. ... Fernando R. SAP Specialist at Michael Management Corporation Michael Management Corporation Logistics and Supply Chain Small-Business (50 or fewer emp.) Overall good product! Handy integration! Aug 13, 2023 What I like the most about IBM Watsonx.ai is that it's user friendly, by allowing easy integration to apps such as Facebook. In addition, IBM offers a variety of functions! ... Alexus H. Student at Ball State University Hopebridge Education Management Mid-Market (51-1000 emp.) Nice to see DataStage in cloud (CP4D) Jan 18, 2024 Easy to implement the logic and maintenance ... Anand R. Associate consultant Tata Consultancy Services Computer Software Enterprise (> 1000 emp.) IBM watsonx review Feb 17, 2024 Watsonx ability to automate AI processes is what best about it. It is far more useful than GPT. ... Verified User in Banking Banking Enterprise (> 1000 emp.) Best use of AI and ML in the product Feb 15, 2024 Very innovative. Easy to deploy and use. ... Verified User in Hospital & Health Care Hospital & Health Care Enterprise (> 1000 emp.) IBM WATSONX.AI Review after using for 2 years Feb 15, 2024 A very powerful tool used to enable corporate businesses to build and deploy conversational AI SOLUTIONS . Strong mutli channel support including websites, mobile app and messaging platform. Built in machine learning capabilities Seamless integration with...... Pradeep P. Senior IT Specialist at DSV - Global Transport and Logistics DSV - Global Transport and Logistics Airlines/Aviation Mid-Market (51-1000 emp.) Unlocking AI with IMB Watson AI review Feb 15, 2024 Its Amazing ML and predictive Analytics and easy integration with other system. Also, it has sound NLP ... Amar H. Project Management- (Mobile Game & Applications Development, Market Research + Data Analytics) | Client Servicing | RFQ Mgt | Customer Relationship Management | Financial Transactions Processing HFG Entertainments Private Limited Computer Games Small-Business (50 or fewer emp.) Good AI tool Aug 12, 2023 It can be customised as per your needs. You can easily integrate it with other platforms. It gives you a support assistance for 24/7 availability thus it reduces cost and satisfies your clients.Ease of use. ...... Mita B. Sr.Outsystems Developer|| Sr. Engineer at OmnePresent Technologies - Low Code Experts OmnePresent Technologies - Low Code Experts Computer Software Mid-Market (51-1000 emp.) The Easisest and Fastest GenAI tool out there Jan 18, 2024 The ease of use and access, plugging a LLM to a wesbite to scrape pages and produce output in a jiffy. The integration is easier, you can plug to any exisitng applications and launch a chatbot on your website. Customer support is outstanding, any issues you might fac...... Shivi G. Innovator | Researcher | AI Expert | Writer | Speaker | Poet | Data Scientist | Full Stack Developer Cognizant Telecommunications Enterprise (> 1000 emp.) Read all reviews RESOURCES Ebook How to choose the right AI foundation model Read the ebook Interactive demo Follow Rob the data scientist as she builds prompts for common generative AI tasks, experiments with foundation models and builds ML models Start the demo Learning series Explore the Learn to Build with GenAI Series Get started Ebook Generative AI and ML for the enterprise Read the ebook Data sheet Learn how watsonx.ai can help your organization train, validate, tune and deploy AI Read the data sheet Analyst report Learn why IBM was named a Leader in the 2023 Gartner® Magic Quadrant™ for Cloud AI Developer Services Read the report Documentation Explore the watsonx.ai product documentation to help you get started building and deploying AI models Read the documentation EXPLORE OTHER WATSONX COMPONENTS IBM® watsonx.data™ See how our data store combines the flexibility of a data lake with the performance of a warehouse. IBM® watsonx.governance™ See how the toolkit for AI governance accelerates responsible, transparent and explainable AI workflows. Learn more about our AI and data platform called watsonx. Explore watsonx Take the next step Take the next step to start operationalizing and scaling generative AI and ML for business Start your free trial Explore the interactive demo More ways to explore Become an IBM Business Partner Connect with the IBM Community Explore AI consulting with IBM Explore the interactive demo Generative AI learning series SaaS documentation Software documentation Subscribe to AI topic updates Support FOOTNOTES 1IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. See Pricing for more detail. Unless otherwise specified under Software pricing, all features, capabilities, and potential updates refer exclusively to SaaS. IBM makes no representation that SaaS and software features and capabilities will be the same. 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