predictive analytics

5 predictive analytics features you'll want to watch out for

Nastel Technologies®
May 15, 2019

Predictive storage analytics tools are becoming standard equipment in the enterprise. Get to know the features you’ll need, how they work and the benefits they provide.

5 predictive analytics features you'll want to watch out for

Predictive Analytics – We’re all familiar with the power, convenience and borderline creepy accuracy of predictive data analytics. Whether it’s looking for something new to watch on Netflix, browsing items related to an item bought last week on Amazon or cursing our phone’s autocomplete misfire, predictive analytics is increasingly used to automate routine tasks, filter information, make better decisions and improve customer support.

These same features have come to the data center under the rubric of AIOps, a new genre of infrastructure management features with significant implications for storage.

Most early uses of predictive analytics centered on consumer applications where massive amounts of data could be collected from millions of users, making it easier to justify the large investment in data acquisition, processing and model development. The predictive analytics ROI hurdle is high because it’s a sophisticated undertaking. It goes far beyond traditional statistical and probabilistic techniques, using machine learning and, in some cases, neural network-based deep learning to train models and make predictions based on massive data sets. The data-driven approach is perfect for automating IT systems management given the massive size of event logs, systems telemetry and performance metrics today’s infrastructure spews out.

This article originally appeared on techtarget.com To read the full article, click here.

Nastel Technologies uses machine learning to detect anomalies, behavior and sentiment, accelerate decisions, satisfy customers, innovate continuously.  To answer business-centric questions and provide actionable guidance for decision-makers, Nastel’s AutoPilot® for Analytics fuses:

  • Advanced predictive anomaly detection, Bayesian Classification and other machine learning algorithms
  • Raw information handling and analytics speed
  • End-to-end business transaction tracking that spans technologies, tiers, and organizations
  • Intuitive, easy-to-use data visualizations and dashboards

If you would like to learn more, click here.

Nastel Technologies is the global leader in Integration Infrastructure Management (i2M). It helps companies achieve flawless delivery of digital services powered by integration infrastructure by delivering Middleware Management, Monitoring, Tracking, and Analytics to detect anomalies, accelerate decisions, and enable customers to constantly innovate, to answer business-centric questions, and provide actionable guidance for decision-makers. It is particularly focused on IBM MQ, Apache Kafka, Solace, TIBCO EMS, ACE/IIB and also supports RabbitMQ, ActiveMQ, Blockchain, IOT, DataPower, MFT and many more.

 

The Nastel i2M Platform provides:

  • Secure self-service configuration management with auditing for governance & compliance
  • Message management for Application Development, Test, & Support
  • Real-time performance monitoring, alerting, and remediation
  • Business transaction tracking and IT message tracing
  • AIOps and APM
  • Automation for CI/CD DevOps
  • Analytics for root cause analysis & Management Information (MI)
  • Integration with ITSM/SIEM solutions including ServiceNow, Splunk, & AppDynamics

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