Four ways Covid-19 has forever changed workforce learning
As it becomes even easier to create learning content as seen by so many vendors, we now have the ability to search and find the right answer, video snippet, page of content to answer a user’s question. AI technologies to understand, index and enable a cognitive search experience make this happen. Companies like Coveo and Lucidworks have solutions for work at home or at work employees. Feathercap, our own predictive answer platform is designed for this as well and to track everything users view and do. Such as time spent viewing every answer, second of video or page of content. This lets us understand your content and provide the right answers matched to every team member’s need and role. All of these solutions feature sync with content sources from Box, Dropbox, Sharepoint and any PDF, video, or document.
Covid-19 forced us all to rethink on demand learning however. In this new normal, having access to learning content and training isn’t enough. We see both at work teams and those working from home need the right job answers immediately to stay agile. According to a recent article on remote workforces from Josh Bersin, the #2 and #4 biggest concerns for remote work at home workforces are having the right technologies to do their job and maintaining engagement and productivity remotely.
Back in 2017, Box.com one of the worlds largest Enterprise Content Collaboration Platforms announced they would be applying NLP to all 30 billion files that they manage for their clients.  The main methods currently used for content curation: 1) Social rating – what you experience when using social sites like Facebook by measuring “likes”, shares and votes. 2) Collaborative filtering based on users past actions and 3) Cognitive Analysis which understands the meaning of small segments of the content and then applying machine learning analyzes relationships between all these segments for future suggestion or recall of specific content. The third approach, cognitive analysis has grown substantially. Today, vendors as well as Feathercap are offering solutions using cognitive analytics. Projects may require set up and consulting to tune the system for a particular content set, employee or audience demographics for best success. Feathercap’s predictive answer platform combines tracking and success metrics to best reflect each user’s individual experience and goals to provide just the right answer at the right time. The advantage to this approach is that initial tuning and deployment are minimized. Users can be up and running in minutes.
As learning authoring becomes easier, what content that hasn’t been already curated or bought by the learning department teams won’t be only on their shoulders to produce. Team leads and even the rank and file employees themselves can create and share content they wish to contribute. Until the above curation methods came along, this idea has been difficult to follow through on. There would be too much content for any L&D department to manage in addition to their other duties.
Learning analysts and learning vendors themselves argue for or against the continued viability of LMSs (Learning Management Systems).  These are the enterprise wide systems frequently budgeted from the HR department for managing courses, classroom training, group training as well as the overall enforcement of training completion by employees. They are also the point of curation for most learning content found in the enterprise. Today, LMSs are predominantly used for longer form compliance training employees in most companies must complete to meet local and federal employment laws and standards. When we start to see voice enabled learning and AI driven curation current LMSs will surely have to transition to these approaches or fade to irrelevance. We have seen the combined Cornerstone OnDemand / Saba acquisition focus on micro learning content as well as Linked Learning’s demand go into overdrive and come into its own offering up to date content for all companies.
LXP vendors such as Degreed are growing well and taking on the talent marketplace role of combining competency data and skill attainment through their platform with talent goals of companies to be able to show newly “credentialed” employees as opportunities for filling job vacancies. A blending of talent, LXP and recruiting.
Feathercap lets your people look up answers to their questions.
Employees, staff, partners and customers can instantly receive the right answer as a sentence or video segment found within any existing learning content, document, Powerpoint, pdf or video. Our AI driven predictive answer platform combines our deep tracking and success metrics to best reflect each user’s individual experience and goals to provide just the right answer at the right time.
To sign-up for a free trial check us out: https://feathercap.net
 “Remote Work Is Sinking In: And The Impact Is Bigger Than We Realized” , May 6, 2020. Josh Bersin. https://joshbersin.com/2020/05/remote-work-is-sinking-in-and-the-impact-is-bigger-than-we-realized/
 “AI will fundamentally change how we manage content” – https://finance.yahoo.com/news/ai-fundamentally-change-manage-content-131654635.html
 “The LMS is quickly losing ground”, Feb 23, 2017. Carol Leaman. http://www.clomedia.com/2017/02/23/lms-market-quickly-losing-ground/
 “Do we still need the LMS?”, April 5, 2017. Josh Bersin. https://www.clomedia.com/2017/04/05/still-need-lms/
 “Opinion: The LMS isn’t dead…yet”, July 21, 2017. Mike Rustici. https://www.clomedia.com/2017/07/21/lms-isnt-dead-yet/
 “Degreed acquires Adepto, let the LXP showdown begin”, December 13, 2019. Josh Bersin. https://joshbersin.com/2019/12/degreed-acquires-adepto-the-lxp-showdown-begins/
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