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Data science tools and solutions

Uncover patterns and build predictions using data, algorithms, machine learning and AI techniques

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Harness the power of data science

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.

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How to build responsible AI at scale

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Why IBM for data science

AI lifecycle management

Scalable, integrated data science platform with capabilities spanning the full AI and ML lifecycle

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Modern data science technology

Prediction and optimization technologies for better decision-making

Read the business guide

ModelOps approach

Operationalizing AI models in sync with DevOps for faster ROI

Explore ModelOps

The full impact of AI can only be achieved when AI can be trusted. Learn more about MLOps and trustworthy AI for data leaders.

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Personalize experiences

Accelerate decisions

Debias AI

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Personalize experiences using predictive insights

Augment human intelligence with machine insights at speed and scale, driving better customer experiences.

New release: IBM's latest on Project Ripasso

Related data science tools

Ask your questions and get insights in seconds

With clear, step-by-step explanations of its reasoning, Project Ripasso answers your business questions in seconds.

Build and scale trusted AI on any cloud

Automate the AI lifecycle and accelerate time to value with an open, flexible architecture.

Connect timely targeted data to the right people from anywhere

Collect, organize and analyze data across any cloud with a fully integrated data and AI platform.

Uncover insights to solve business and research problems

Extract actionable insights from your data with a user-friendly interface and robust procedures.

Optimize decision making to improve business outcomes

Gain prescriptive analytics capabilities to optimize decisions with a family of products.

Data Science and AI Elite

Get the skills, methods and tools you need to overcome AI adoption and solve your business challenges quickly with IBM data science and AI elite services.

Data science case studies

ÇimSA Çimento Sanayi ve Ticaret A.S

Cuts manufacturing, distribution and inventory costs using an IBM decision optimization toolset.

UMBRAGROUP S.p.A.

Uncovers previously unknown factors hampering production with a modeling and prediction solution.

International Medical Corps

Accelerates reporting and planning processes, enabling faster emergency response and effective disaster relief.

Deutsche Lufthansa AG

Sets up a new operational workflow to support the development of new data science projects.

7 benefits of open source data science

Discover what you gain from using open source data science on a multicloud data and AI platform.

CxO guide to growth with AI

Learn how high-growth leaders in AI are setting themselves apart in their industries.

ESG Technical Validation

See how easily businesses can apply prescriptive analytics using IBM Decision Optimization software.

What is data science?

Learn the definition of data science, its lifecycle and related tools.

Get started with data science

Dive deeper and learn in-demand data science skills, build solutions with real sample code, and connect with a global community of developers on IBM Developer.

Guide to modern predictive analytics

This guide will help your business navigate the modern predictive analytics landscape, identify opportunities to grow and enhance your use of AI, and empower data science teams and business stakeholders to deliver value quickly.

Next steps

Talk to a data science professional

Contact a representative and get help with questions on how to start your journey.

Community

Find education, discussions, events and the latest IBM data science news.

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