IBM SQL Data Insights Pro

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IBM SQL Data Insights Pro is an AI-powered analytics capability for Db2 for z/OS on IBM Z and LinuxONE environments. It enables users to analyze structured and unstructured data using AI-based semantic queries directly within Db2. The solution provides capabilities for semantic search, similarity discovery, anomaly detection, clustering, and pattern analysis by creating AI models from existing Db2 data. SQL Data Insights Pro operates within the Db2 environment and supports AI-driven insights without requiring data movement to external analytics platforms. It includes a runtime model training engine, data and query engine, and user interfaces including web UI, REST API, and command-line interface for managing AI objects, models, and queries. The solution is intended for data analysts, developers, and database teams working with mission-critical Db2 for z/OS data.

IBM Security X-Force Incident Reponse Retainer

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Get the security protection your organization needs to improve breach readiness with an incident response (IR) retainer subscription from IBM Security. When you engage with our elite team of IR consultants, you have trusted partners on standby before a cybersecurity incident is suspected to help reduce the time it takes to respond to an incident, minimize its impact and help you recover faster. Our team of IR experts proactively hunt and respond to threats and apply the latest threat intelligence to help you in each stage of a breach. Continuous monitoring and deeper investigation of threats begin remotely, and actionable response plans are provided for long- term, preemptive solutions.

IBM Infosphere Optim Archive

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IBM InfoSphere Optim Archive is a scalable solution that can help organizations manage and support their database archiving strategies. It can help to control growing data volumes and associated storage costs while improving application performance and minimizing the risk associated with data retention and compliance. Whether applied to packaged or custom applications or data warehouse environments, Optim Archive can provide benefits to both IT groups and business units enabling them to intelligently archive and manage historical data throughout its lifecycle.

IBM Z Database Assistant

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IBM Z Database Assistant is an AI-enabled database administration solution designed for Db2 for z/OS and IMS environments. It provides a unified workspace for database administrators to monitor system health, analyze performance, troubleshoot issues, and optimize database operations. The solution includes AI-assisted capabilities for SQL tuning, anomaly detection, workload analysis, diagnostics, and guided recommendations. It provides visibility into database objects, system resources, SQL performance, access patterns, and operational conditions through dashboards and assistant-driven workflows. IBM Z Database Assistant supports natural language interaction, integrated SQL tools, and AI-based recommendations that assist administrators in resolving issues and managing database environments while maintaining human review and control over operational actions.

granite 3.2 2b

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Granite-3.2-2B-Instruct is a 2-billion-parameter language model developed by IBM's Granite Team, designed to handle a wide range of instruction-following tasks. Built upon its predecessor, Granite-3.1-2B-Instruct, this model has been fine-tuned using a combination of permissively licensed open-source datasets and internally generated synthetic data, focusing on enhancing reasoning capabilities. It supports multiple languages, including English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese, with the flexibility for users to fine-tune it for additional languages. Key Features and Functionality: - Thinking Capabilities: The model is fine-tuned to perform complex reasoning tasks, allowing for more nuanced and contextually relevant responses. - Summarization: It can generate concise summaries of lengthy texts, aiding in information distillation. - Text Classification and Extraction: The model is capable of categorizing text into predefined classes and extracting pertinent information from unstructured data. - Question-Answering: It can provide accurate answers to user queries based on the input context. - Retrieval Augmented Generation (RAG): Enhances response generation by retrieving relevant information from external sources. - Code-Related Tasks: Assists in code generation, completion, and debugging, supporting various programming languages. - Function-Calling Tasks: Facilitates the execution of specific functions or operations based on user instructions. - Multilingual Dialog Use Cases: Supports conversations in multiple languages, enabling broader accessibility. - Long-Context Tasks: Handles tasks involving extensive context, such as summarizing long documents or answering questions based on lengthy inputs. Primary Value and User Solutions: Granite-3.2-2B-Instruct offers a versatile solution for developers and businesses seeking an advanced language model capable of understanding and executing a wide array of instructions. Its enhanced reasoning abilities and support for multiple languages make it suitable for applications ranging from AI assistants to complex data analysis tools. By providing functionalities like summarization, text classification, and code assistance, the model addresses the need for efficient and accurate processing of diverse tasks, thereby improving productivity and user engagement.

granite 3.3 2b

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Granite-3.3-2B-Instruct is a 2-billion parameter language model developed by IBM's Granite Team, designed to enhance reasoning and instruction-following capabilities. With a context length of 128K tokens, it builds upon the Granite-3.3-2B-Base model, delivering significant improvements in benchmarks such as AlpacaEval-2.0 and Arena-Hard, as well as in mathematics, coding, and instruction-following tasks. The model supports structured reasoning through the use of `<think>` and `<response>` tags, allowing for clear separation between internal thoughts and final outputs. It has been trained on a carefully balanced combination of permissively licensed data and curated synthetic tasks. Key Features and Functionality: - Enhanced Reasoning and Instruction-Following: Fine-tuned to improve performance in understanding and executing complex instructions. - Structured Reasoning Support: Utilizes `<think>` and `<response>` tags to delineate internal processing from final outputs. - Multilingual Support: Supports multiple languages, including English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese. - Versatile Capabilities: Excels in tasks such as summarization, text classification, text extraction, question-answering, retrieval-augmented generation (RAG), code-related tasks, function-calling tasks, multilingual dialogue, and long-context tasks like document summarization and question-answering. Primary Value and User Solutions: Granite-3.3-2B-Instruct addresses the need for advanced language models capable of handling complex reasoning and instruction-following tasks across various domains. Its structured reasoning support and multilingual capabilities make it a valuable tool for developers and businesses seeking to integrate sophisticated AI assistants into their applications. By providing clear separation between internal processing and outputs, it enhances transparency and reliability in AI-driven solutions.

granite 4 tiny base

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Granite-4.0-Tiny-Base-Preview is a 7-billion-parameter hybrid mixture-of-experts (MoE) language model developed by IBM's Granite Team. It features a 128,000-token context window and utilizes the Mamba-2 architecture combined with softmax attention to enhance expressiveness. Notably, it omits positional encoding to improve length generalization. Key Features and Functionality: - Extensive Context Window: Supports up to 128,000 tokens, facilitating the processing of lengthy documents and complex tasks. - Advanced Architecture: Incorporates Mamba-2 with softmax attention, enhancing the model's expressiveness and adaptability. - Multilingual Support: Trained in 12 languages, including English, German, Spanish, French, Japanese, Portuguese, Arabic, Czech, Italian, Korean, Dutch, and Chinese, with the flexibility for fine-tuning in additional languages. - Versatile Applications: Designed for tasks such as summarization, text classification, extraction, question-answering, and other long-context applications. Primary Value and User Solutions: Granite-4.0-Tiny-Base-Preview addresses the need for a robust, multilingual language model capable of handling extensive context lengths. Its architecture and training enable it to perform a wide range of text-to-text generation tasks effectively, making it suitable for applications requiring deep language understanding and generation across multiple languages. The model's design allows for fine-tuning, enabling users to adapt it to specific domains or languages beyond the initial 12 supported, thereby offering flexibility and scalability for diverse use cases.

IBM Verify Governance

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Provides enterprise identity management and governance to help organizations provision, audit and report on user access and activity through lifecycle management, access requests, access certifications, SoD policy controls, role mining, auditing, reporting and more.

IBM Verify Privilege

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Privileged Access Management (PAM) solution available both on-premises and in the cloud. Discover privileged accounts, vault credentials, delegate access, monitor and record privileged sessions.