Artificial intelligence (AI) is the transformative technology of our time. Breakthroughs that were once considered possible only in science fiction are now real AI tools you can apply to specific tasks and entire processes. Unlike traditional computer programs, generative AI can augment human intelligence and help businesses achieve new levels of productivity.
IBM’s adaptive AI solutions are designed to solve real business problems - to make businesses run faster, stronger and more effectively. We employ an AI approach that provides more choice and flexibility with a higher degree of transparency and trust to best fit your business needs. This means:
Using the right AI and training on the right data sets at the right time
Running AI models from anywhere with secure access to your data wherever it is stored
Prioritizing safety and compliance with a holistic AI governance approach for your AI systems
Extending your team's capabilities with flexible, fit-for-purpose AI tools and services
With IBM, scale artificial intelligence to more parts of your business with greater confidence and stronger results. Wherever you are on your AI journey, IBM can help.
Govern generative AI models built in watsonx.ai and those built on third-party platforms
What's new in AI from IBM Research
Granite: a family of open-sourced, high performing, cost-efficient models, built on domain-specific data you can trust.
Easily tailor AI models, manage all data sources, and accelerate responsible AI workflows—all on one AI and data platform.
Customize and integrate purpose-built generative AI virtual assistants into core enterprise workflows.
Simplify and automate IT with a hybrid cloud designed to scale AI using your data and applications.
Engage with AI experts and engineers to re-design workflows and drive true business transformation.
IBM can help you start today and apply various types of AI to the top use cases most beneficial for your business. From natural language processing (NLP) to generative AI to machine learning algorithms and deep learning, IBM’s AI capabilities can help:
Scale AI and accelerate time to value with our expert consultants and engineers and the right AI technologies. Build competitive advantage in areas such as customer service, HR, and IT operations across industries, including financial services, healthcare, government, and more.
From large language models (LLM) to small language models (SLM), explore how you can choose the right AI foundation model for your business use case.
The six hard truths CEOs must face to gain an edge with the use of AI and generative AI.
See how you can maximize the value of hybrid cloud and harness the large amounts of data spread across your enterprise in the generative AI era.
IBM Researcher Dmitry Krotov is on the hunt for artificial neural networks that can crunch data as efficiently as the brain.
Join Malcolm Gladwell as the Smart Talks with IBM podcast dives into the world artificial intelligence - with a focus on the powerful concept of ‘open’ - its possibilities, implications, and misconceptions.
AI vs machine learning vs deep learning vs neural networks. What’s the difference? And how do they relate to one another? Our experts break down the details.
While AGI remains theoretical, organizations can take proactive steps to prepare for the arrival of superintelligence by fostering a collaborative environment where human intelligence and AI can partner seamlessly.
A community of scientists at MIT and IBM Research are advancing AI research to impact business and society.