IBM watsonx - A Better Solution, Inc.

Realize the promise of AI with IBM watsonx

IBM watsonx is an enterprise-ready AI and data platform designed to help businesses integrate and scale artificial intelligence, including traditional machine learning and new generative AI capabilities powered by foundation models. It provides an integrated, collaborative studio environment for "AI builders"—from data scientists to developers—to train, tune, validate, and deploy AI models with their own private, trusted data. The platform is built on an open, hybrid cloud architecture and comprises three core components: watsonx.ai for building AI models, watsonx.data for a fit-for-purpose data store built on an open lakehouse architecture, and watsonx.governance for managing AI risks, monitoring models, and ensuring compliance with ethical and regulatory requirements.

The platform allows enterprises to leverage a wide range of models, including IBM's own Granite series, third-party models, and open-source options from Hugging Face. Users can experiment with prompt engineering in the Prompt Lab, tune foundation models for specific use cases in the Tuning Studio, and build AI agents to automate workflows. Beyond model development, watsonx helps prepare and manage data from anywhere using a unified governance and metadata approach, which is critical for ensuring the accuracy and trustworthiness of AI applications. By facilitating the entire AI lifecycle within a secure and transparent environment, watsonx enables organizations to unlock new levels of business value through enhanced productivity, improved customer experiences, and optimized operations across various industries.

AI engineers, data scientists, and AI risk and compliance officers can accomplish the following goals with watsonx.ai and watsonx.governance:

• Build generative AI solutions: Build solutions that include prompts, agents, retreival-augmented generation (RAG) patterns, and other capabilities of foundation models. Choose from IBM models, third-party models, open source models, or import custom foundation models. Tune foundation models to customize your prompt output.
• Build machine learning solutions: Build models with open source frameworks and code-based, automated, or visual data science tools. Manage and automate the model lifecycle with integrated tools and runtimes to train, validate, and deploy machine learning models.
• Govern AI: Track the detailed history of AI models, assess risks, and evaluate model output to help ensure compliance.

Your Business. Your AI

IBM watsonx™ is our portfolio of AI products that accelerates the impact of generative AI in core workflows to drive productivity.

Open your AI future Get the flexibility you need to make the right AI choices for your business. Choose an open source foundation model, bring your own, or use existing models. And run it across any cloud.	Trust your AI outputs Automatically collect and consolidate over 500 data types from diverse sources including energy retailers, equipment (meters, sensors and solar PV systems) and building automation and management systems.	Your AI, your data Collect data once, report multiple times. No more spreadsheets or manual data calculation with different emissions factors, reporting boundaries, calculation methods or metric conversions across regions.

Explore IBM watsonx Solutions

watsonx Orchestrate All your AI agents in an open solution. Fully orchestrated.		watsonx.governance Unsupervised agents are risky. IBM watsonx.governance helps monitor behavior, evaluate performance with RAG-based metrics, track experiments, and streamline tool selection - so you can govern agents with confidence.		watsonx.data An open datalake designed to simplify data access, governance, and AI readiness across your organization.		watsonx.ai Develop, run and manage custom AI applications faster and easier with an integrated, collaborative, end-to-end and secure enterprise-grade developer studio.

Case Studies

AI and IBM watsonx are not just buzzwords because it is a transformative technology integrated into everyday life and core business operations, driving innovation and efficiency. It is a foundational tool for everything from virtual assistants and self-driving cars to complex business decision-making and software development.

It is no longer just theoretical and futuristic, IBM watsonx is being used by real companies and producting real and significt ROI. See some of the Case Studies below:

AddAI Learn how AddAI achieved an 85% accuracy rate for answers generated through gen AI along with a 50% reduction in unanswered queries. Learn more ...	System Research Inc. Discover how System Research, a system integrator based in Nagoya, Japan, achieved a 50% reduction in the time required by its employees to access the information they needed. Discover more ...	MacStadium Explore how MacStadium, an SaaS company, increased staff efficiency by 30% and reduced customer support queries by 25%. Explore more ...

IBM watsonx.orchestrate

IBM watsonx Orchestrate focuses on bringing AI into the day-to-day work that often slows teams down. Instead of building custom applications or writing automation scripts, business users can describe what they need in natural language-such as drafting a job description, updating a CRM record, or preparing a meeting summary-and Orchestrate executes those tasks using prebuilt and customizable AI "skills."

These skills connect to common business tools across HR, recruiting, sales, service, and operations. The result is a flexible automation layer that doesn't require deep technical expertise to use or maintain. Tasks can be chained together, refined, or reused-reducing repetitive work while keeping people in control of decisions and exceptions.

Key capabilities

• Natural language interaction: Trigger workflows using simple conversational commands instead of scripts or UI clicks.
• Reusable AI skills: Prebuilt connectors and task modules that perform actions across popular business tools.
• Workflow automation: Combine multiple steps—such as gathering information, drafting content, and updating records—into a single automated sequence.
• Integration flexibility: Connects to major HRIS, CRM, productivity, and collaboration platforms without heavy customization.

On your own terms

Adopt AI on your own terms with a platform that is open, integrated, and trusted to enhance your existing workflows without disruption. By connecting to all your systems and safeguarding every step with built-in governance and security, you gain powerful intelligence without sacrificing control.

Open Bring the power of agentic AI to your current workflows	Integrated Tap into all your systems and data across your business for better insights, actions and outcomes.	Trusted Keep your business secured across any system with built-in stftey, governance and complience.

When watsonx Orchestrate is a good fit

IBM watsonx Orchestrate is ideal for organizations that want to extend AI outside of data science teams and into everyday operations. It's particularly useful for roles that involve high volumes of repeatable tasks-recruiters, HR coordinators, sales teams, service reps, and operations analysts.

Instead of hiring more staff for administrative tasks or building complex internal automations, teams can offload work to Orchestrate while focusing their time on strategic, relational, or judgment-driven responsibilities. It accelerates productivity without forcing users to learn new systems or workflows.

IBM watsonx.governance

IBM watsonx.governance is focused on one of the hardest parts of AI at scale: keeping models transparent, explainable, and compliant over time. It helps organizations put structure around how models are built, deployed, monitored, and retired, so AI doesn’t become a "black box" that is impossible to audit or trust.

Instead of relying on ad hoc documentation and spreadsheets, watsonx.governance provides a central place to capture model lineage, key assumptions, risk assessments, and performance metrics. This gives technical, risk, and compliance teams a shared source of truth when reviewing how AI is being used across the business.

Key capabilities

• Model lifecycle tracking: Document how models are created, trained, tuned, and deployed, including versions, datasets, and changes over time.
• Risk and performance oversight: Monitor model behavior, drift, and bias so issues can be identified and addressed before they create business or regulatory problems.
• Policy and control alignment: Map models and use cases to internal policies and external regulations, helping teams demonstrate that AI is being used in a controlled and accountable way.
• Audit-ready documentation: Generate and maintain the evidence needed for internal reviews, external auditors, or regulators without rebuilding the story from scratch each time.

Govern, secure and monitor your AI. Scale your AI with confidence.

Automated AI governance is critical to maximize ROI at scale. Our enterprise-grade solution features agent monitoring, risk management and regulatory compliance. With watsonx.governance®, achieve end-to-end AI governance, accelerate responsible AI adoption and reduce manual tasks. Automated workflows and seamless integration with existing systems optimize costs and manage risk. Deploy across hybrid cloud and on-premises environments.

Manage governance where your AI lives Govern models, apps and agents deployed anywhere on any third-party tool including AWS, Microsoft and others.	Get built-in AI security In integration with IBM® Guardium® AI Security, identify shadow AI deployments, gain visibility into security vulnerabilities, misconfigurations and security risk metrics in one unified solution.
Simplify regulatory compliance processes globally Gain access to the largest pool of global compliance data, with compliance accelerators covering the EU AI Act, ISO 42001, NIST AI RMF and an expanding portfolio of emerging AI policies.	Access global AI strategy expertise-trusted worldwide Witness a 30% increase in ROI from AI portfolios that we co-create and implement with IBM worldwide consulting experts.

When watsonx.governance is a good fit

IBM watsonx.governance is well suited for organizations running multiple AI and machine learning initiatives that need a consistent way to manage risk and demonstrate compliance. It’s particularly valuable in regulated industries, or wherever AI is involved in decisions that affect customers, finances, or operations at scale.

Used alongside watsonx.ai and watsonx.data, watsonx.governance helps ensure that innovation doesn't outpace control. Teams can move quickly on new AI projects while still maintaining the documentation, oversight, and accountability that stakeholders expect.

IBM watsonx.data

IBM watsonx.data is built around a straightforward idea: AI and analytics work best when they're grounded in a well-organized, accessible, and governed data foundation. It uses an open datalake architecture to bring structured and unstructured data together without forcing teams into yet another silo or proprietary toolchain.

The platform connects to data wherever it lives-cloud, on-prem, warehouse, or data lake-while applying a consistent layer of governance, cataloging, and metadata management. This reduces duplication, improves discoverability, and provides clearer lineage for the datasets feeding your AI workflows.

Key capabilities

• Open datalake architecture: Support for multiple data formats and compute engines, giving teams flexibility without locking them into a single ecosystem.
• Unified governance & metadata: Ensure better data quality and traceability with surface-level insight into lineage, ownership, and usage.
• Optimized for AI workloads: High-performance query engines and efficient data access built specifically to support foundation-model and machine learning workflows.
• Cost-efficient storage & querying: Reduce unnecessary data copies and leverage scalable object storage while keeping compute flexible and controlled.

Data management made easy - Fast, Flexible and Trustworthy

With IBM® watsonx.data®, you can automate the ingestion, enrichment and delivery of unstructured data at scale and unify it with structured data. The result? Context-aware and accurate AI that fuels confident decision-making.

Built for gen AI Unify structured and unstructured data to improve gen AI accuracy and performance.	No code? No problem. No-code, low-code and pro-code user experiences foster self-service access to data insights for your entire team.
Balance workloads, slash costs A unique multi-engine architecture optimizes for price and performance so you can keep up with growing data volumes without busting your budget.	Works however you work Run anywhere: public cloud, private cloud, hybrid cloud or on premises.

When watsonx.data is a good fit

IBM watsonx.data is ideal for organizations trying to standardize how their data is prepared, governed, and delivered to AI and analytics teams. Rather than building custom pipelines for every project, enterprises can consolidate their data strategy around a shared foundation that supports both experimentation and production workloads.

Whether you're modernizing legacy warehouses, preparing data for foundation models, or trying to reduce operational inefficiencies across multiple data systems, watsonx.data provides a structured, scalable environment to support those goals without disrupting existing investments.

IBM watsonx.ai

IBM watsonx.ai is an AI and machine learning studio designed for teams that need to do more than experiment with models in isolation. It brings together foundation models, traditional machine learning, and retrieval-augmented generation (RAG) patterns in a single environment, so data scientists, ML engineers, and developers can move from prototype to production with fewer handoffs and fewer surprises.

The focus is on practical, enterprise use. watsonx.ai lets you work with IBM Granite models, open-source options from ecosystems like Hugging Face, and selected third-party models. You can start with out-of-the-box capabilities, then tune and adapt those models using your own data while maintaining control over privacy, security, and compliance requirements.

Key capabilities

• Foundation and ML model support: Develop with both foundation models and traditional machine learning using open frameworks and familiar tooling.
• Prompt and tuning workflows: Use prompt engineering tools and Tuning Studio to adapt models to your specific domain, language, and terminology.
• MLOps and lifecycle management: Integrate training, validation, deployment, and monitoring so models can be managed as ongoing products rather than one-off projects.
• Hybrid and open architecture: Run where it makes sense for your organization while keeping interoperability with existing data platforms and tools.

Make your data work harder

Accelerate your work with AI that generates high-quality content, powers fast knowledge access through RAG-based applications, and extracts meaningful insights and forecasts from your data.

Content and Code Generation Whether you need code explanation, campaigns or lesson planning, use fit-for-purpose foundation models to get a head start on quality content, both general and personalized. Transform Content Creation	Knowledge Management AI developers can build and deploy ready-to-use knowledge management applications quickly with pre-built RAG templates, frameworks and APIs. Infuse Knowledge Mgmt.	Insight Extraction / Forecasting Streamline discovery and analysis of large amounts of data for faster, more valuable insights and forecasts specific to your needs and business requirements. Gain insights with gen AI

When watsonx.ai is a good fit

IBM watsonx.ai is particularly useful when your organization wants to standardize how AI solutions are built and operated. Instead of each team building its own stack, watsonx.ai provides a common environment for experimentation, tuning, and deployment that aligns with your governance, security, and data strategies.

Whether the goal is to build domain-specific copilots, automate document-heavy workflows, or improve existing analytic models with generative capabilities, watsonx.ai offers a structured way to do that while remaining grounded in enterprise requirements for trust, transparency, and control.