---
title: News and Events | MediaMelon | Solutions (2)
description: Solutions | Your source for insight to the world of streaming intelligence, video analytics, and the positive impact on your business (2)
---

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# MediaMelon News & Events

Posts about:

## Solutions (2)

## ContentWise & MediaMelon Partner for Ultimate Performance Intelligence

[Marketing](https://info.mediamelon.com/news/author/marketing) 

April 19, 2022

Today, ContentWise, a leading provider of user experience (UX) personalization and audience analytics technologies for video streaming, OTT, and pay-TV operators, and streaming intelligence platform provider MediaMelon are announcing a new...

[Read More](https://info.mediamelon.com/news/contentwise-and-mediamelon-partner-for-video-streaming) 

[![ContentWise & MediaMelon Partner for Ultimate Performance Intelligence](https://info.mediamelon.com/hs-fs/hubfs/Images/1x1.png?width=1&height=1&name=1x1.png)](https://info.mediamelon.com/news/contentwise-and-mediamelon-partner-for-video-streaming)

[![Greener streaming with QBR](https://info.mediamelon.com/hubfs/Images/Protecting%20planet%28780x440%29.png)](https://info.mediamelon.com/news/towards-greener-streaming-delivery-with-qbr)

[Products,](https://info.mediamelon.com/news/tag/products) [Solutions](https://info.mediamelon.com/news/tag/solutions)

### [Towards Greener Streaming Delivery with QBR...](https://info.mediamelon.com/news/towards-greener-streaming-delivery-with-qbr)

[Simon Orme](https://info.mediamelon.com/news/author/simon) 

March 3, 2022

We were reminded by a recent [Faultline](https://rethinkresearch.biz/product/faultline/) interview about the [Greening of Streaming](https://www.greeningofstreaming.org) initiative and wanted to applaud the founder's key thinking on maintaining video service QoS, while making achieving this QoS this more efficient.  Without trying to change consumer habits, it seems appropriate to encourage service providers to be more sensitive to the carbon implications of the delivery chain and to employ technology that can minimize energy impacts in any way possible. The trick is, of course, to do this without any adverse consequences to the viewer experience. 

[Read More](https://info.mediamelon.com/news/towards-greener-streaming-delivery-with-qbr)

[![Streaming Intelligence](https://info.mediamelon.com/hubfs/Images/Happy%20family%20sitting%20on%20sofa%20and%20using%20laptop%2c%20mobile%20phone%20and%20digital%20tablet%20at%20home.jpeg)](https://info.mediamelon.com/news/streaming-intelligence-full-white-paper-available)

[Company,](https://info.mediamelon.com/news/tag/company) [Products,](https://info.mediamelon.com/news/tag/products) [Solutions](https://info.mediamelon.com/news/tag/solutions)

### [Streaming Intelligence: Full White Paper Available](https://info.mediamelon.com/news/streaming-intelligence-full-white-paper-available)

[Kumar Subramanian](https://info.mediamelon.com/news/author/kumar) 

February 17, 2022

No one doubts that delivering a successful streaming video service involves facing some tough trade-offs. How does a service operator ensure that they can meet evolving challenges with focused tools that address key business issues? This is the fundamental case for going *beyond video analytics* to the new realm of *streaming intelligence*.

[Read More](https://info.mediamelon.com/news/streaming-intelligence-full-white-paper-available)

[![Automated Anomaly Detection](https://info.mediamelon.com/hubfs/Imported_Blog_Media/gotgreatcontentfi1080608-1.jpg)](https://info.mediamelon.com/news/automated-anomaly-detection-for-rapid-resolution)

[Products,](https://info.mediamelon.com/news/tag/products) [Solutions](https://info.mediamelon.com/news/tag/solutions)

### [Got Great Content? Match it with Great Viewing Experiences](https://info.mediamelon.com/news/automated-anomaly-detection-for-rapid-resolution)

[Kumar Subramanian](https://info.mediamelon.com/news/author/kumar) 

December 14, 2020

You’ve got great content on your streaming video service, so match that content with great viewing experiences for your customers! Take the hard work out of improving the consumer experience and growing your business!

[Read More](https://info.mediamelon.com/news/automated-anomaly-detection-for-rapid-resolution)

<https://info.mediamelon.com/news> [1](https://info.mediamelon.com/news) [2](https://info.mediamelon.com/news/tag/solutions/page/2) [3](https://info.mediamelon.com/news/tag/solutions/page/3) [4](https://info.mediamelon.com/news/tag/solutions/page/4) [5](https://info.mediamelon.com/news/tag/solutions/page/5) <https://info.mediamelon.com/news/tag/solutions/page/3>

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San Francisco, CA 94133, USA  
+1 415 967 1256

### Product

- [Platform Overview](http://www.mediamelon.com/product-smartsight-platform)
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### Resources

- [Technology](http://www.mediamelon.com/core-technology-mediamelon)
- [Collateral](http://www.mediamelon.com/collateral-mediamelon)
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  "articleBody" : "Today, ContentWise, a leading provider of user experience (UX) personalization and audience analytics technologies for video streaming, OTT, and pay-TV operators, and streaming intelligence platform provider MediaMelon are announcing a new development partnership. Their objective of the partnership is to deploy an end-to-end analytics service that will instrument the consumer experience journey for video service presentation and delivery. Service operators need an accurate picture of how their audience interacts with, and appreciates, their complete content offering. Combining ContentWise Data Insight’s behavioral, personalization, and product analytics and MediaMelon’s SmartSight QoE and QoS analytics provides such a complete perspective. The two analytics viewpoints combine to provide the ultimate digital optimization solution and a new level of accuracy and clarity into customer behavior and video content performance. Pay TV and OTT video services are constantly under pressure to invest in new, increasingly costly shows, movies, and live content. This collaboration between ContentWise and MediaMelon offers a rich source of data to optimize these investments for video service audiences, achieve improved customer happiness, reduce content abandonment, and prevent subscriber churn. “Now operators can finally unlock the secret map of the consumer experience” says Renato Bonomini, ContentWise VP Sales Engineering and Partnerships. “ContentWise and MediaMelon for the first time unify analytics insights that are traditionally looked at separately: this is the way to optimal user engagement and retention.” “With this new partnership, we are reaching the holy grail of video service analytics – a complete picture of factors that enhance or detract from viewer happiness,” commented Kumar Subramanian, MediaMelon CEO. “We are very pleased that the SmartSight platform can contribute an important component of this viewpoint to the joint effort and look forward to near-term deployment success.” ContentWise and MediaMelon offer a wider spectrum of KPIs, the User Happiness Index for the C-level dashboard, and business-oriented operational metrics for your technical and product teams. About ContentWise ContentWise is the AI-powered customer experience company that provides leading video operators, digital publishers and online retailers with the software and expertise they need to create rich, personal and smart experiences at every digital touchpoint. Thanks to personalization and automation technology, ContentWise helps marketing, editorial and merchandising teams understand what each customer needs, wants and values, maximizing customer lifetime value. With offices in Milan, Los Angeles and Singapore, ContentWise counts leading brands worldwide as customers, including Allente, Mediaset, PCCW, Sky, Telecom Argentina, and Telefonica.",
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  "articleBody" : "We were reminded by a recent Faultline interview about the Greening of Streaming initiative and wanted to applaud the founder's key thinking on maintaining video service QoS, while making achieving this QoS this more efficient. Without trying to change consumer habits, it seems appropriate to encourage service providers to be more sensitive to the carbon implications of the delivery chain and to employ technology that can minimize energy impacts in any way possible. The trick is, of course, to do this without any adverse consequences to the viewer experience. Who could fail to recognize the trajectory of streaming implementation concerns - from achieving acceptable, quality, then driving ROI, and now to service efficiency. The impact across the whole arc of commercialization has, of course, been remarkable. But, just like many aspects of our green consumer outlook, nobody wants to return to postage stamp video windows even in the interests of the planet. Gains in efficiency of service delivery have to be achievable without compromise to the levels of quality we have all come to expect. The seminal work on the carbon impact of streaming was carried out under the auspices of the Carbon Trust in 2021. This work concluded that greenhouse gas (GHG) emissions related to video streaming stem primarily from data centers, transmission networks and consumer viewing devices. The long term goal to reduce GHG emissions is based on improving efficiency of IT technology and on transition to renewable power sources. In the short term, the paper concludes that we can to split GHG emissions across the streaming delivery chain into two: Emissions resulting from a constant baseline of power consumption which exists whether streaming is taking place or not Emissions resulting from bandwidth driven computational load or data traffic directly resulting from video streaming It is these latter marginal emissions that we have the opportunity to impact if we can reduce the average bandwidth per stream whilst maintaining quality of experience. The MediaMelon perspective is, of course, how effective our SmartSIght/SmartPlay QBR solution has proven at achieving this very goal. The attached webinar video covers precisely this territory - we hope that you find it informative. SmartSight QBR takes on the challenge of more efficiently meeting streaming QoE goals and solves it within a new objective video measurement framework. SmartSight QBR uses objective perceptual video quality information generated by our patented iMOS evaluation tools. In conjunction with per-session business rules this reference data is used to enhance the playback performance of all types of Adaptive Bitrate (ABR) streaming, resulting in improved delivery QoE, reduced buffering and lower streaming energy use - illustrated by figures such as the analysis below (from the presentation). Importantly, the tools work seamlessly within existing streaming content workflows, with no need to modify the encoder, CDN or player ecosystems. They are especially effective at dynamically optimizing bandwidth use—and therefore CDN use—across different device and network types. SmartSight QBR can result in material savings in data and energy use, but a core service QoE benefit is the ability to add higher bitrate profiles to the content bitrate ladder in the confidence that SmartSight QBR will only select those profiles when content complexity and QoE targets dictate. This could result, for example, in data use being unchanged whilst QoE for a premium content library being materially enhanced. There's likely going to be more discussion of this topic in the next months - and one set of observations will be presented at the upcoming NAB conference by Thierry Fautier from Harmonic. Read more about the SmartSight QBR solution here. The Team at MediaMelon. Your Source for Streaming Intelligence.",
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  "articleBody" : "You’ve got great content on your streaming video service, so match that content with great viewing experiences for your customers! Take the hard work out of improving the consumer experience and growing your business! Streaming businesses require real time anomaly detection and resolution to provide the best QoE In video streaming, there is constantly new content being streamed that varies widely in genre, content type, target audience and video duration. Added to this, there are a host of other variables in the streaming workflow that can influence the quality of viewer experience. It is almost impossible for a business to identify issues in real time by relying on manual configuration of thresholds and alerts and the constant monitoring quality of experience dashboards in person. Manual issue detection systems do not automatically adapt to your changing service Rule based alerting of issues are useful to inform every time a predefined threshold is triggered, however they are not able to automatically adjust to the changes in seasonal patterns, user behavior, or any other changes in the key and contributing metrics. Manual issue detection systems require analysis effort Manual detection of issues requires knowledge, time and resources to know what to look for and what and how to act on them. Even then, this approach cannot scale to all the metrics that matter to your business. Anomalies can occur in seemingly insignificant metrics, or metrics that no one is tracking through manual alerts. Using SmartSight QoE to accelerate issue detection and resolution The SmartSight QoE Anomaly Detection system takes the hard work out of identifying issues. It uses Machine Learning and continuously monitors key quality of experience, engagement and business metrics to trigger alerts in real-time whenever anomalies are detected in the data points. Customers are notified of anomaly alerts through the SmartSight user interface, as well as interactively over Slack, Email or Webhooks for workflow automation. The above example shows details of a user session where the user experienced a high buffering ratio. MediaMelon’s anomaly detection automatically detected at what point in video playback the user experienced buffering, for how long and what caused the buffering issues. Key Benefits of Automated Anomaly Detection Resolve issues faster Analysis is a complex and time consuming activity that risks not noticing the issues as they occur and tends to be retrospective rather than real-time and immediate. Anomaly detection with point of failure analysis is a real-time activity that automatically identifies the root cause of issues and allows the team to focus more of their time on solving issues rather than investigating the source. Retain and engage your viewers, don’t churn them Reduce the time to resolution of key delivery issues with Machine Learning powered issue detection across all your metrics with point of failure analysis. Move beyond manual alerts that don’t handle the constant variation in viewing habits that today’s online streaming services have. Monetize advertising and avoid wasted inventory Ads are particularly problematic due to the complex ecosystem involved with many points of failure from creative to them appearing in the video player. The SmartSight anomaly detection solution analyses all the time, finding the needle in the haystack to ensure that issues are rapidly resolved avoiding unfilled impressions and poor monetization.",
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