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Apply real-time analytics to unstructured machine data to gain contextual insights and improve operational excellence.

Add Intelligence to IT Ops With M2M Analytics

Base decisions on facts and apply real-time analytics to unstructured machine data. Employ machine to machine (M2M) machine learning (ML) to help your enterprise improve operational excellence.

49%ML Models Reach Production

Analyst says less than half of all ML models get deployed.

17%IoT Projects Move Beyond PoC

Lab tests don't always ensure successful implementations.

90%Deployed Data Lakes Will Become Useless

Most data lakes become overwhelmed due to poor management.

M2M analytics delivered with elastic scalability.

Minimize capital costs: Deploy on premises or in cloud.

Query options that use ML to distill meaningful patterns.

Anomaly detection to reduce incident response time.

Take faster action on previously undiscovered insights.

Reduce time to meaningful outcomes to minutes.

Resources

In Today's Connected World, Understanding How to Use Big Data and Analytics is Not Optional
ANALYST CONTENT

In Today's Connected World, Understanding...

Learn how M2M analytics and social innovation improve efficiency, resiliency and...

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Gain Valuable Insights From Petabytes of Machine Data
VIDEO

Gain Valuable Insights From Petabytes of Machine Data

Walk through a data center and learn how Hitachi Live Insight for IT Operations...

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Hitachi Labs and the Future of Machine Learning
VIDEO

Hitachi Labs and the Future of Machine Learning

Machine Learning Model Management.

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