We asked a few questions recently to Nick Barber, senior analyst with Forrester Research on video and what’s changing with the advancements of artificial intelligence (AI). Here’s what Nick had to say based on his research around enterprise video and related communications technology.
You can hear more from him on through this on-demand webinar: Transform the Employee Experience with AI Driven Video Communications.
There’s a gold mine of data in live video streams — data that can guide communications programs and help organizations refine future presentations. Important engagement clues are buried deep in the data: How long are viewers actually tuning in to company video? Are they responding to calls to action? How often are they engaging?
During any live stream, metrics are key for assessing performance, spotting trends and honing everything from a video’s message to its quality. Here are four impactful (and often overlooked) data points to collect from your live video analytics to get a complete picture of the event’s success.
This week in Cannes, France, IBM Watson Captioning was honored in the Advanced TV Innovation of the Year category at the Content Innovation Awards 2018. The award highlights technology that has improved the TV experience, overcome challenges to the market or enabled viewers in new ways. In this respect, IBM had recently launched IBM Watson Captioning Live, which debuted in April of 2018 to offer live intelligent closed captions for broadcast networks.
The solution, which aids in automated caption generation, helps solve some of the most critical issues facing live content creators today in providing captions. This includes both the ability to scale caption generation and in regards to accuracy, all through infusing the technology with artificial intelligence. This article details what is IBM Watson Captioning and some background on the Content Innovation Awards. For even more information on this technology, also download our white paper Captioning Goes Cognitive: A New Approach to an Old Challenge.
71% of executives describe distributing video without harming the corporate network as a top priority purchase decisions in streaming technology.
Video, especially live video where large simultaneous audiences can occur, is a very bandwidth intensive process. Without a proper delivery strategy in place, it can easily compromise the network, halting other activities that might require network bandwidth. So what does a proper strategy look like? Well it often includes an ECDN (Enterprise Content Delivery Network) solution.
This article tackles this topic of ECDN provider features and how to find the best solution for you. It will arm you with a better understanding of features that are out there to help you start to build a checklist of what’s important based on your needs and scope out your optimal setup. This includes considerations like ease of use and monitoring capabilities alongside the different types of available solutions, including efficient delivery over unicast networks and multicast options.
For those looking for even more information on this topic, including comparing unicast, multicast and P2P options along with firewall considerations, download our Internal Video Delivery Without Bottlenecks eBook.
Looking for a streaming video analytics API and other developer tools related to video metrics?
IBM has expanded the analytics options available to IBM video streaming and enterprise video streaming users. This includes a set of APIs that allows developers to take metrics related to their video content and infuse them into other applications. These available analytics can be used to track content broadly, seeing metrics on all content. However, they can also be used to track individual usage, associated with an email address gathered either after a user authenticates for restricted internal content or fills out a registration gate for video marketing content.
This article covers what type of data you can get through using the streaming video analytics API, where to find them and API use cases. Some of these are focused on the idea that they will be used for video marketing, while others on the very different use case of internal comms. For the latter, also be sure to download our Using Video for Internal Corporate Communications, Training & Compliance white paper as well.
Looking for cloud video editing capabilities? Tools that can let you trim content online while also looking into value adds like the ability to chapter content for better accessibility?
IBM Watson Media offers capabilities for content owners to modify videos, either uploaded or archived from previous live sessions, online. This is non-destructive, meaning changes can be reverted, and is collaborative as multiple managers and admins can utilize the same account to edit video content.
This article covers this feature set along with highlighting improvements that have been made, moving the technology to being HTML5 based. Also be sure to register for our Getting Started with Enterprise Video Management webinar as well, which will cover this and any additional improvements and features to the IBM Watson Media services.
Want to improve the end user experience while simultaneously removing strain on your site’s wide-area network?
Through using IBM Enterprise Content Delivery Network (ECDN) and AT&T FlexWare, companies will get a fully managed service for enabling delivery of streaming video within their enterprises. This encompasses reducing strain on the network for the main offices down to smaller locations to achieve a scalable streaming video solution.
This article covers what is ECDN technology, the benefits of it and why you should be using it with AT&T FlexWare. It also details how it works as part of the overall SD-CDN (Software Defined Content Delivery Network) process. To learn more about this, also download our SD-CDN: Scaling Video Delivery to Reach Massive Audiences white paper.
The Salesforce platform provides users a 360 degree view of their customers, helping them connect and nurture relationships in a whole new way. An initiative at the company is Salesforce Live, which has webcasts, productions and events, including a live broadcast of Dreamforce.
Hosted in downtown San Francisco by Salesforce, Dreamforce is an annual, massively attended conference. Bringing together a mixture of thought leaders and professionals, the event has historically attracted over 170,000 people to attend. The focus of the show is often on keynote addresses, training sessions and networking events among many other activities that take place at the conference.
When it came to the topic of expanding the audience for the venue, online proved a natural fit. “Streaming is a huge part of Dreamforce, has been for many years,” said Michael Rivo, Business Director of Salesforce Live. “We put a big effort into driving large audiences for our Dreamforce broadcast. For the past several years we’ve had millions of viewers in real time watching the live stream of the broadcast.”
To help achieve this goal, the underlying technology had to be accessible and reliable while creating an overall high quality production for online viewers. For more information on the infrastructure used to support the large audiences, be sure to download this Live Video Delivery System Built for Scalability white paper as well.
Artificial intelligence is transforming industries, increasing efficiency and improving our ability to manage complex issues. That technology also has many benefits within the video space, ranging from language processing to metadata management and enrichment.
As the market and technology continues to improve, those that are shaping it are being honored. This weekend, two of Watson Media’s video solutions were highlighted at the CSI Awards 2018. Announced in Amsterdam, IBM Watson Video Enrichment and IBM Watson Captioning and were cited as the ultimate winners for the “Best Use of AI or Machine Learning in Video” category. These solutions bring to market key advantages for tackling ongoing issues in the video space: the scalable generation of accurate closed captions and effective analyzation of large libraries of content.
Read on for more details on this technology and the awards themselves. For a greater elaboration of these concepts, also be sure to download our Uncovering Dark Video Data with AI white paper as well.
Whether content owner or service provider, the amount of time it takes to make content available in the required formats has consistently and significantly decreased. Today’s status quo is 24 hours or less for non-live broadcast offerings; however in many cases customers need it in less than six hours . This means that a finished “program” is transmitted via file-based terrestrial IP from a post house in Los Angeles to New York where it is then transcoded, packaged, and distributed. It’s not unusual for there to be 300 aggregation points (e.g. post houses and facilities from around the world), packaged into 150 different format permutations, and distributed to at least 100 worldwide partners.
This article talks about how to intelligently manage and distribute content to virtually any platform or screen—multiplied by the power of Watson. It includes an example around the logistics of VOD and OTT distribution and how it can function as part of a larger workflow as well. For more strategies and information around managing large libraries of content, also download this Video Metadata: Management and Tools white paper.