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Ratings and Reviews 0 Ratings
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PylonPylon serves as a comprehensive support platform tailored for contemporary B2B enterprises. We equip post-sales teams with essential tools such as ticketing software, an omnichannel approach for B2B communications (including Slack Connect and Microsoft Teams), an interactive chat widget, a robust knowledge base, an AI-powered support bot, along with customer marketing and account management solutions. Our platform is designed specifically to address the unique needs of B2B businesses, enabling you to assist customers on their preferred channels while facilitating various support tiers. Our AI feature can generate support articles derived from previous issue resolutions, while our Triggers help formalize workflows and business processes. Additionally, with Macros, you can efficiently handle frequent inquiries. Engagement tracking allows for the dissemination of updates, newsletters, and new feature announcements to your clients. All customer information is meticulously organized and accessible in one centralized location, providing stakeholders with a comprehensive view of their team's ongoing concerns. If you're considering utilizing Slack for customer support, we would love to connect, as our users typically manage over 180 customer channels. The integration of these tools not only enhances communication but also streamlines the support process, leading to higher customer satisfaction and improved operational efficiency.
What is Touchstream VirtualNOC?
The OTT Operations hub is built to manage performance on a large scale while improving Quality of Service (QoS). With the help of Touchstream's unique CDN data-sharing collaborations, the root causes of errors can be pinpointed in a matter of minutes. Our all-encompassing monitoring solution, VirtualNOC, collects data from every stage of the video delivery pipeline and ensures uninterrupted monitoring throughout the day and night. This functionality allows operators to easily spot issues and take corrective measures before any negative impact is felt by viewers. By facilitating real-time data exchange with CDNs, any disputes with technology providers are effectively removed, enabling teams to focus on the real challenges and address them swiftly. The cloud-based framework of VirtualNOC allows for operations to be conducted from any location, seamlessly connecting to the internet and equipping your operations team with crucial visibility tools needed to navigate their complex workflows. Furthermore, the capability to review past errors assists in accurately determining underlying issues, which helps to prevent their recurrence and boosts long-term QoS. By ensuring that operators have complete visibility over their processes, the potential for mistakes is significantly reduced, leading to a more streamlined operational workflow. This comprehensive system not only enhances the speed of issue resolution but also encourages a forward-thinking mindset toward consistently upholding service quality, ultimately contributing to a more reliable viewing experience for all users.
What is Amazon Lookout for Metrics?
To effectively detect irregularities in business metrics, it is crucial to minimize false positives through the application of machine learning (ML). By clustering similar outliers, one can delve into the root causes of these anomalies for a thorough examination. Summarizing these underlying issues and ranking them based on severity ensures that organizations can address the most critical problems first. The integration with AWS databases, storage solutions, and third-party SaaS applications enables ongoing monitoring of metrics and anomaly detection. Additionally, implementing customized automated alerts and responses when anomalies are detected boosts operational efficiency significantly. The Lookout for Metrics tool employs ML to automatically identify anomalies in both business and operational data, while also uncovering their root causes. Detecting unexpected anomalies poses a challenge, especially since conventional methods typically depend on manual processes that often introduce errors. Lookout for Metrics alleviates this complexity, empowering users to identify and analyze data inconsistencies without specialized knowledge in artificial intelligence (AI). Furthermore, this tool enables the monitoring of unusual variations in subscriptions, conversion rates, and revenue, promoting a proactive stance against sudden market shifts. By harnessing sophisticated machine learning approaches, businesses can greatly enhance the precision of their anomaly detection endeavors, ultimately leading to better decision-making and more resilient operations. This strategic application of technology thus not only improves detection but also fosters a culture of continuous improvement within organizations.
Integrations Supported
AWS Lambda
Akamai
Amazon CloudWatch
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
Amazon Web Services (AWS)
Fastly
Limelight
Integrations Supported
AWS Lambda
Akamai
Amazon CloudWatch
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
Amazon Web Services (AWS)
Fastly
Limelight
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Touchstream
Company Location
Australia
Company Website
www.touchstream.media/our-solution
Company Facts
Organization Name
Amazon
Date Founded
1994
Company Location
United States
Company Website
aws.amazon.com/lookout-for-metrics/
Categories and Features
Categories and Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
