Jive Software CEO Elisa Steele spoke to a group of press in the British Museum this week to discuss her firm’s latest views and positioning. The discussion itself was themed around a title that was detailed as ‘Corporate Memory & the connected digital workplace’.
The developer angle is tangible with Jive; the firm’s collaboration platform technologies are being connected to various partners’ platforms in the pursuit of helping people to become better so-called ‘knowledge workers’. Further, Jive can be used by developer teams themselves.
“Our customers innovate with our technology on our open APIs all the time. We then work with these same firms (sometime to co-innovate) and look for ways to bring developments to other customers who might benefit from them,” Steele told the audience.
We are moving towards a service-based economy (obviously, we know this because of cloud)… but we will also see this trend in human terms because 40 of the world workforce will be freelance by 2020, or so Jive claims.
Jive’s Steele talks about what it likes to call ‘corporate amnesia’ in terms of where applications are used by particular employees and, if an employee leaves, that information (and possibly some IP) gets lost. Jive is seeking to validate the use of its collaboration platform as a counter this problem.
This predicament is made worse today due to the number of employees that work remotely and the sheer number of employee turnover stats we see today (23% in the USA and somewhere around 13% in the UK).
At a developer level, this problem is played out almost exactly in parallel i.e. when team members leave a development project with the code base at whatever level of development, if they fail to leave the requisite amount of ‘annotations’ and explanatory notes, then subsequent team members will always struggle to progress as well as they should do.
Jive is using every tool it can in order to help build a more connected collaborative future with automation intelligence… in particular the firm is using predictive analytics and machine learning to see what people do with what applications in what scenarios.
Jive also provides anonymised data so that other firms can benefit from the analytics that comes from studies of Jive user data. To explain this concept more clearly: a firm might have a marketing, sales and PR department… so we will want to be able to study who talks to who at what point in time to be able to find where the disconnects are.
This scenario plays out equally well in pure software application development departments i.e. we want to be able to know whether development is talking to operations and all the sysadmin, DBA functions and so on.
“Jive provides a collaboration hub that solves the problem firms have as they try to harness the knowledge inside their organisations,” said Steele.
But could we store and track too much data?
We have to look at the person’s role and what they do and tie that information to their Line of Business responsibilities.
“We can see through the ‘work graph’ who the trusted people are inside an organisation and what impact they have upon the firm,” explained Steele.
Our future workplace is digital of course. But more so we may now see how and where we will find collaboration tools like Jive employing intelligence from predictive analytics and machine learning to help us know more about what we do.