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Cloudera Machine Learning

Build, deploy, and scale ML and AI applications through a repeatable industrialized approach and turn data into decisions at any scale, anywhere.

Today, no single platform unifies and powers data and ML workflows. We are changing that to accelerate the industrialization of enterprise ML and AI.

Artificial intelligence (AI) and machine learning (ML) are coming of age, and organizations are wrestling with familiar growing pains. Isolated projects exist in silos across the enterprise, putting quality, security, governance, and compliance at risk.

By taking an “AI factory” approach to turning data into decisions, you can make the process of building, scaling, and deploying enterprise ML and AI solutions automated, repeatable, and predictable—boring even.

Only through the industrialization of AI will you be able to shift focus from technology  to outcomes, empower continuous optimization and learning across the enterprise, and turn data into predictions at any scale, anywhere.

Deutsche Telekom applies machine learning and artificial intelligence to detect fraud patterns and threats in real time

Reducing revenue loss from fraud by up to 20 percent

Read the success story

WESTERN UNION

Western Union uses predictive analysis on structured and unstructured data sets in the same store to make real-time risk decisions and compliance enhancements.

Read the success story

IQVIA

IQVIA brings more than 2PB of data from 250 data warehouses across the globe and provides analytic insights that can drive dramatic change in healthcare.

Read the success story

Unlock business value with ML and AI now  

Cloudera helps clients transform from both a technological and a practical standpoint, speeding up time to results with enterprise ML. With our modern, open platform and enterprise tools, we enable clients to build and deploy AI solutions at scale, efficiently and securely, anywhere they want. And we couple that with Cloudera Fast Forward Labs expert guidance and professional services to help clients realize their AI future, faster.

FOUNDATION FOR SCALE

Build, train, and deploy scalable ML and AI applications on Cloudera Enterprise Data Hub:

  • Break down data and workflow silos with Cloudera Shared Data Experience (SDX) for secure, shared data access with consistent context
  • Connect data warehousing, data engineering, and machine learning on a single platform—running anywhere, at scale

  • Future-proof innovation based on open, portable technology

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Self-Service Data Science

Accelerate enterprise machine learning from research to production with Cloudera Data Science Workbench:

  • Boost productivity and impact with collaborative data science at scale

  • Let data scientists innovate and iterate with modern, open tools and self-service access to any data, anywhere, and on-demand compute

  • Provide IT with the enterprise-grade management, security, and governance controls they depend on for efficiency, compliance, and scale

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EXPERT KNOWLEDGE TRANSFER

Accelerate time to results with Cloudera Fast Forward Labs applied ML advising and research:

  • Access quarterly research reports on emerging machine learning technologies and their application, with associated prototypes for hands-on learning

  • Empower your data teams with ongoing knowledge and skills transfer from our research engineering team—your “data nerd best friends”

  • Benefit from four hours of advising time a month with a member of our research engineering team

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Accelerated Outcomes

Put strategy and execution on the fast track with Cloudera Fast Forward Labs strategic advising and ML application development services:

  • Leverage strategic advising to help build and execute an enterprise machine learning strategy tailored to your business
  • Rapidly codesign, develop, and deploy a customized, cutting-edge machine learning application built for your data and operating environment

  • Count on award-winning Cloudera Professional Services to get everything to production quickly and painlessly

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News

Federated learning: Machine learning with privacy on the edge

News

What's new in CDSW 1.4

Analyst Report

The rise of cognitive computing: ML, AI, and IoT

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