Imagine a cattle stampede that continues for five years, and you’ve also pictured how the populace has stampeded from text to video. According to YouTube’s Press page, people watched a lot of YouTube video in 2013. In 2014, they watched three times as much as they did in 2013. In 2015, the numbers tripled again.
The masses aren’t merely watching video. They’re turning to online video as their preferred method of learning, whether the topic is how to do math or how to use a chainsaw. This mass transition to educational videos has dragged corporate Learning and Development departments into the video-production business – and if you’re a corporate L&D pro with no background in video, you’re having to glean knowledge along the way.
Formulating Courseware Strategy on Common Knowledge Is a No-go
What’s the approach to formulating a strategy for video-based courseware effectively?
You hear tidbits on trends and “common knowledge” in the industry such as: “A training video can be only five minutes long,” or “Millennials watch training videos on smartphones, but everyone else watches on PC.”
Is such “common knowledge” really… knowledge? Where’s the data that supports these “facts”?
Folklore deserves healthy skepticism.
To plan and gauge our courseware effectively and optimize our customer’s learning experiences, we need firsthand, well-sourced data about how people actually interact with video.
I get such data from Ooyala, a resource that offers broadcasters and premium content providers (such as Vudu, Sky Sports UK, Star India) management tools that help them monetize video content. Ooyala tracks and analyzes the viewing behavior of more than 120,000 anonymized viewers in more than 100 countries, then publishes their findings quarterly. You can download Ooyala’s Global Video Index free and study it yourself.
Defying conventional wisdom, three surprising findings from Ooyala’s most recent report could help you optimize your Learning & Development efforts.
Video Trend #1: Longform Is In on Smartphone, Tablets and PCs
For three of the last five quarters, the majority of video watched online was longform – industry-speak for running times over 20 minutes.
The takeaway: While many factors determine how long your viewer sticks with you (to name a few: relevance, production quality, their reason for watching), the latest research directly contradicts the rote “knowledge” that viewers leave after a few minutes. Although the video offerings Ooyala measures mostly consist of entertainment, their data reveals that the majority of viewers will complete a 22-minute video if it’s interesting, regardless of subject material.
Questions to consider: How might using a longer format affect the way you subdivide your content? Can your content hold interest that long? Can you identify topics where learning and retention would benefit from not being shoe-horned into five minutes?
Video Trend #2: Mobile Video Is Mainstream Now
In Q1 of 2018, the number of videos viewed on mobile devices was up all over the world. For example, of all video plays in Asia-Pac, 60.7% occurred on mobile devices. EMEA and Latin America hit all-time highs for mobile’s share of video plays.
Mobile video views also rose to being the majority of views in every age demographic, everywhere.
The takeaway: Common knowledge held that mobile viewership was a niche for the young or for early adopters. Now, the majority of all video views occur on a tablet or phone. If you’re still developing courseware primarily for desktop PCs, you’re offering yesterday’s modality to an audience that’s rapidly leaving it. Consider whether your courseware developers should start thinking, “Mobile first.”
Video Trend #3: Streaming Is Overtaking Conventional TV
Sixty percent of all households that have a broadband Internet connection have at least one Streaming Video On Demand (SVOD) service (think Netflix, Hulu, HBO Now). The most rapidly growing segment is “households with four or more services.”
Content creators are scaling up massively to meet the anticipated need for content on demand. Top content providers processed three times as much content in Q1 2018 as they did in Q1 2017. This trend won’t abate as heavyweights such as Apple and Disney race smaller providers to launch new streaming services in 2019.
The takeaway: Consumer culture drives relentlessly toward “get what you want, when you want it.” In that context, how happy are your customers to wait weeks for your five-day training class to roll around again? Businesses that offer customers video training on demand will probably enjoy a growing advantage over competitors offering conventional courseware.
At Dell EMC Education Services, we are working tirelessly to develop an on-demand video learning platform so customers can choose traditional classes, instant video support, or a combination. We’ve also begun adding interactivity so that viewers can click on a video table of contents, or click within a video to branch to a more in-depth related video. This is the near-term future of learning.
In times when what “everyone knows” about learning videos might be unfounded, finding a reliable source of data can improve your predictions and planning. Ooyala is not the only source, but it’s free, well-derived, and gives me a refreshing reality check against what I thought I knew. Check out the report for yourself. When it comes to customer behavior, timely trend-spotting can determine whether your training content lands with a thud or a whoop – and whether your fiscal year ends with an oops or a yay!
Please feel free to comment or share your insights with me below.
The post 3 Surprising Video Trends that Should Inform Your L&D Strategy appeared first on InFocus Blog | Dell EMC Services.
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Verifiable vehicle journeys are critical to building a trusted, intelligent, and shared mobility ecosystem.
AUSTIN, Texas (PRWEB)October 01, 2018
Cerebri AI, the creator of the Cerebri Values™ system for customer experience, has joined the Mobility Open Blockchain Initiative (MOBI), a peer-to-peer consortium making transportation safer, more affordable, and more widely accessible using blockchain technology. The company, which already maps and measures ‘vehicle journeys’ for millions of automotive customers, leverages advances in artificial intelligence (AI) to deliver insights that personalize a customer’s experience. With the potential to greatly impact the daily transportation and mobility needs of the future, Cerebri AI will collaborate with MOBI working group members to foster blockchain-based standards as a catalyst for innovation across the entire transportation ecosystem.
Cerebri AI has developed a system that analyzes the unique impact of each vehicle journey, an array of vehicle and driver interactions and touchpoints, to arrive at a single metric called a Cerebri Value. This value quantifies, in monetary terms, a range of potential outcomes that mobility industry players can use to ensure businesses and consumers have security and sovereignty over vehicle and driving data, efficiently manage ride-share and car-share transactions, and more easily communicate and transact with each other across mobility commerce platforms. As a universal measure for vehicle makers, infrastructure and service providers, the Cerebri Value highlights ROI-positive tactics for achieving higher profits and better customer satisfaction.
“When it comes to the future of mobility, the output from advanced analytics powered by machine learning is one of the major use cases for blockchain technology,” said Chris Ballinger, CEO and co-founder of MOBI. “Cerebri AI is making incredible progress in using data to advance the automotive industry and we are excited to welcome them as the newest member of the MOBI team.”
Big-name car makers BMW, General Motors, Ford, and Renault are behind the nonprofit MOBI consortium which launched earlier this year. The group focuses exclusively on the automotive space and its potential use cases, and now represents more than 80 percent of global auto manufacturing by volume. As a MOBI sponsor, Cerebri AI joins the organization’s global roster of members alongside stalwarts such as Bosch, World Economic Forum, Blockchain at Berkeley, Hyperledger, IBM and Accenture.
“Verifiable vehicle journeys are critical to building a trusted, intelligent, and shared mobility ecosystem,” said Jean Belanger, CEO and co-founder of Cerebri AI. “AI and blockchain are the two biggest disruptors in technology today. We look forward to working with MOBI members across the mobility value chain to bring these technologies together as we create interoperable, scalable solutions that reimagine the business models of the future.”
About Cerebri AI
Leveraging the massive amounts of customer data recorded by Fortune 500 companies, Cerebri AI delivers actionable insights via its patent-pending Cerebri Values system, which uses artificial intelligence and machine learning to personalize customer experience (CX) at scale. Cerebri Values quantifies each customer’s commitment to a brand or product and dynamically predicts the next best actions for CX success. Headquartered in Austin with offices in Toronto and Washington, DC, the company has 50 employees who have been awarded over 130 patents to date. To learn more about Cerebri AI and the Cerebri Values system, visit cerebriai.com.
So if we are talking about the VNX and the 2U/2.5″ drive/DAE5S or 3U/3.5″ drive/DAE6S enclosures, and if I am understanding the question correctly, no you don’t need to (nor can you) manually set the bus or the enclosure id’s. It is assigned automatically based on the bus it is connected to and will be the next contiguous enclosure id to what it is daisy-chained to. Now this does present a (slight) issue though if you happened to move the DAE after it was assigned, but even then there is a KB article to clear that (emc267717 but not visible to the general public and would require following up with support to walk you through it). However, again that would only pertain to you if you happened to move the DAE after you brought it online for the first time so maybe tuck that KB article away until it becomes an issue for you. In the previous architecture though, you did need to manually set the enclosure id by depressing a recessed button but the bus id was also auto-sensed even in that design.
If you follow the USM you will be fine, but unlike the previous architecture, it won’t at any time prompt you to manually set any id.