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Description
Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.
Description
The OTT Operations hub is designed to oversee performance at scale and enhance Quality of Service (QoS). Thanks to Touchstream's distinctive CDN data-sharing partnerships, identifying the underlying causes of errors can be achieved within minutes. Our comprehensive monitoring solution, VirtualNOC, gathers data from every point in the video delivery process and ensures continuous monitoring around the clock. This capability enables operators to clearly visualize problems and implement corrective actions before they impact viewers. With our real-time, direct data exchange with CDNs, disputes with technology providers are eliminated, allowing everyone to concentrate on the actual issues and resolve them promptly. Operating from anywhere is made possible through the cloud-based VirtualNOC, which connects seamlessly to the internet. This empowers your operations team with the essential visibility tools required for managing their intricate workflows from any location. Additionally, the ability to replay past errors aids in accurately identifying root causes, thereby preventing similar issues in the future and enhancing long-term QoS. By providing operators with complete oversight of their processes, the margins for error are minimized, leading to a more efficient operational workflow. This robust system not only streamlines issue resolution but also fosters a proactive approach to maintaining service quality.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS Lambda
Yes
Akamai
No
Amazon CloudWatch
Yes
Amazon Redshift
Yes
Amazon S3
Yes
Amazon Simple Notification Service (SNS)
Yes
Amazon Web Services (AWS)
No
Fastly
No
Limelight
No
Integrations
AWS Lambda
No
Akamai
Yes
Amazon CloudWatch
No
Amazon Redshift
No
Amazon S3
No
Amazon Simple Notification Service (SNS)
No
Amazon Web Services (AWS)
Yes
Fastly
Yes
Limelight
Yes
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/lookout-for-metrics/
Vendor Details
Company Name
Touchstream
Country
Australia
Website
www.touchstream.media/our-solution
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No