Data science tools and solutions

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

Female technician works on a tablet in a data center

Overview

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.


IBM is named a Leader in the 2021 Gartner Magic Quadrant for Data Science and Machine Learning Platforms

Benefits

Why IBM for data science AI lifecycle management

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

Get the Forrester Wave™
Modern data science technology

Prediction and optimization technologies for better decision-making

Read the business guide (2.5 MB)
ModelOps approach

Operationalizing AI models in sync with DevOps for faster ROI

Explore ModelOps
Deployment anywhere

Ability to run AI models on premises, in the private cloud or in multiple public clouds

See the flyer (291 KB)

Use cases

Scale trustworthy AI-driven decisions Unify tools, processes, and talent to build and deploy trustworthy AI at scale. Explore the use case

Personalize experiences using predictive insights Augment human intelligence with machine insights at speed and scale, driving better customer experiences. Read an example

Transform operational decisions with optimization Use optimization technology and predictive insights to remove uncertainty in operational decision making. See the infographic (652 KB)

Integrate AI into decision making Power decision intelligence on a multicloud platform with decision optimization, visual modeling and open source data science tools. Watch an example (03:22)

Debias and safeguard AI with explainability Use explainable AI and model monitoring so you can trust model decisions and mitigate risks of AI bias and fraud. Read an example

Resources

Next steps

ESG Technical Validation

Request the report on IBM Watson Studio and IBM Watson Machine Learning.

Community

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

Contact IBM Expert

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