Uncover patterns and build predictions using data, algorithms, machine learning and AI techniques
IBM is named a Leader in Data Science & Machine Learning
IBM has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms.
Practicing data science comes with challenges. It comes with fragmented data, a short supply of data science skills, and various tools, practices, and frameworks to choose from run with rigid IT standards for training and deployment. It's also challenging to operationalize ML models with unclear accuracy and difficult-to-audit predictions.
Using IBM data science tools and solutions, you can accelerate AI-driven innovation with:
- An intelligent data fabric
- A simplified ModelOps lifecycle
- The ability to run any AI model with a flexible deployment
- Trusted and explainable AI
In other words, you get the ability to operationalize data science models on any cloud while instilling trust in AI outcomes. Moreover, you'll be able to manage and govern the AI lifecycle with ModelOps, optimize business decisions with prescriptive analytics and accelerate time to value with visual modeling tools.
Scalable, integrated data science platform with capabilities spanning the full AI and ML lifecycle
Prediction and optimization technologies for better decision-making
Operationalizing AI models in sync with DevOps for faster ROI
Augment human intelligence with machine insights at speed and scale, driving better customer experiences.
Power decision intelligence on a multicloud platform with decision optimization, visual modeling and open source data science tools.
Use explainable AI and model monitoring so you can trust model decisions and mitigate risks of AI bias and fraud.
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