Predecir is pleased to announce the availability of a new, powerful predictive analytics platform to address a $20 billion problem for businesses: inefficient cloud spending management, otherwise known as “cloud waste.”
PREDECIRx utilizes artificial intelligence (AI) and machine learning (ML) technology to dramatically reduce inefficient cloud management, which according to Forbes, now accounts for 23% of total cloud spending.
The Last Mile in Actionable Predictive Analytics
PREDECIR TECHNOLOGY
The Last Mile in Actionable Predictive Analytics
Dynamic Right-Sizing Resources for Cloud and On-Premise Services
with Optimization for Serviceability and Cost
Customer tools agents
The Right-Sizing Solution
Tunable parameters added for analyzing utilization with perceived models for future trends.
Predecir Listening Device
The Predecir listening post is a lightweight application that runs in the cloud or on-premise VMs.
Resource Utilization metrics analyze for usage predictions are calculated through Predecir’s proprietary algorithms
Production of robust prescriptions from Machine Learning generate client specific reference models
What are Predecir Prescriptions?
Predecir Prescriptions are the diagnostic outputs generated by the Predecir Listening Device and Right-Sizing Activities. Your Prescription represents your own unique formula for ongoing optimization and cost reduction.
An automated solution that continuously learns and analyzes trends
Provides periodic reports on usage, that enables the end user to calibrate their resources accordingly (Spin up or Spin Down)
Employs machine learning methods to swiftly and accurately predict behavior, thereby providing actionable analytics to the end user for future provisioning
Integrates into the customer’s DevOps environment when needed to preview consequences of actions based on our actionable predictive analytics
Provides a test-bench playback of simulated scenarios for pre-production testing
The Predecir Analytics Engine
The Predecir architecture is engineered to generate, store, analyze, and utilize valuable data to understand your cloud computing needs and optimize your cloud performance over time as it engages in continuous learning.
