Vital Trends in Digital Experience and Transformation in 2016

This year I was invited again to come to Dreamforce in San Francisco and present on the latest developments in digital experience and digital transformation for the conference’s Emerging Tech Trends track. Surprisingly well-attended given the satellite location of the track at the Hilton Union Square, having to prepare this session is always a good opportunity for me to go over my research in the last year and map out what’s likely going to happen next.

For myself at least, it’s clear that human change has become closely linked to and as important as digital change, so I have divided up the trends list in the last two years into a tech dimension and a human dimension.

The bottom line: How we think, work, and react as people has tremendous impact on the usefulness and effectiveness of emerging technology. It’s what separates the digital native from those who are just beginning the journey. For example, those not inclined to share information won’t get much use from the technologies and techniques of social business, nor will those who are uncomfortable and unused to spending time in virtual worlds be able to take advantage of the rich opportunities of virtual reality. And if we’re not changing our leadership skills to be more network-centric as opposed to hierarchy-centric, then much of the business value of digital experience and engagement is wasted on us. The list goes on.

What’s more, not only are we co-evolving with our tech, but we need to understand how we need to change just as much as the technology is changing. This is required in order to a) understand the art of the possible and b) to be able to access technology’s unique and historic new value propositions.

What's Next in Digital and Social Experience and Digital Transformation in 2016

Another point I make early in the presentation is the technology is changing exponentially right now and has climbed into a rather steep part of the curve, yet our organizations just don’t change on the same curve. Instead, we change far more linearly, at best logarithmically (see slide 8.) That’s not to say that that enterprises can’t organize themselves to change much faster, but in order to do so we must employ fundamentally new ways to transform organizations. Certainly, some organizations are adapting faster and digital transforming more sustainably (see data on slide 4.)

Sidebar: I’ve recently been exploring what these new models for sustainable yet highly scalable models for digital transformation, even proving them out on client projects I’ve been working on over the last few years. The key seems to be a more network-based, decentralized, and emergent approach I’ve called a Network of Excellence.

Emergent Tech Trends Inputs

For this year’s round-up of emerging tech trends, in addition to original research, I used as inputs several items:

Major new additions to the list include digital assistants/bots/chatbots, blockchain, omnichannel, workplace app integration, and collaborative EMRs, along with significant tweaks in a variety of the existing trends.

You can see the whole deck with an overview of each trend on Slideshare. I’ll post any video that is produced as well.

Also, in other Dreamforce news, you can review my live blog of the main Dreamforce keynote as well as my current assessment this week of the Salesforce platform and ecosystem.

Additional Reading

Digital priorities for the CIO in 2016 | ZDNet

The Building Blocks of Digital Transformation: Community, Tech, Business Models, and a Change Platform

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How Chatbots and Artificial Intelligence Are Evolving the Digital/Social Experience

Digital engagement is once again shifting, as we can see from the main discussions at Facebook’s F8 conference this week about the new release of Messenger and its smart chatbots, or when we look at what’s happening with popular team messaging services like Slack, which is being “overrun by friendly, wonderful bots.” While bots seem like a minor improvement to digital user experience, some believe — including myself — that a combination of today’s latest technologies will transform this what’s-old-is-new-again technology into a major new force in contemporary digital experience and social engagement.

Over the last couple of years, conversing in everyday language with our digital devices has become relatively commonplace with the advent of widely used digital concierge services like Siri, Google Now, and Amazon Echo. Known more formally as ‘conversational user experiences (UXs)’, this dialogue-based interaction model actually has quite a long history going way back to command-line programs like Eliza and Zork (both of which yours truly spent far too much time with when younger), the first commercial expert systems in the 1980s, IRC bots, and other early examples.

Anatomy of a Chat: How Conversational UXs Add Value

While there’s always been an assumption that bots had a bit code behind them with a little situated intelligence — from performing simple services like scheduling reminders via IM all the way up to the first textual AI-based systems such as MYCIN for helping doctors diagnose infections — most conversational interfaces tend to be relatively simple affairs with a little bit of basic natural language processing connected to a decision tree.

That’s clearly about to change in a major way as the introduction of more powerful forms of artificial intelligence and machine learning are combined with new UX channels like voice, video, virtual reality (and soon enough brain/machine) into solutions designed to assist people in their daily activities. These bots will ultimately be unleashed on a) all of the visible digital data in existence, b) apply vast computing power and cutting-edge algorithms to make sense of it all, and c) provide the ability to use this knowledge to converse with us about the world in a deeply meaningful way.

Siri on Apple devices, the conversational UX I use most, has been able to handle increasingly complex and useful queries over the years, often aided by deep smarts from 3rd party services like Wolfram Alpha. Siri is a good example of the overall progress of general purpose chatbots, but it — and the others like it — are really just the tip of the iceberg. I predict you’ll see chatbots appear in almost every user interface in the near future as a way to almost completely remove the friction between our computing systems and us.

How Chatbots Will Impact Online Community

How will the rise of chatbots with AI affect the most important new digital environments for our organizations, online communities and enterprise social networks? I wondered this recently, in particular how it might affect the highly strategic and valuable role of community management. To explore this more, I posed this question yesterday on Twitter to a couple of top colleagues in the space, Rachel Happe and Carrie Basham-Young, with Constellation’s Alan Lepofsky joining in:

Chatbots for Community Management: A Twitter Conversation with Rachel Happe, Alan Lepovsky, and Carrie Basham Young

Why would chatbots help with digital leadership roles like community management? By being connected to the global activity stream and then assisting in the most fundamental — and therefore most common — community management scenarios. This would offload a very overworked role to handle routine digital enablement like helping users through common issues, basic community skill building, ensuring a basic SLA for questions and answers, and providing coaching to community/ESN users on the fly. Other likely scenarios include capturing community data and reporting on it and providing a queryable interface on community needs, hotspots, and quiet zones to improve social business adoption and drive business performance. Chatbots in this space have great potential in my opinion and we’ll soon see them more and more in the social business world.

How Chatbots and Artificial Intelligence could Help Community Managers

But are chatbots for community management — and other domains of digital engagement — really going to happen? I’d argue that since they already are in many other similar functions, such as Web site sales and support, that it’s almost certain, as a greater share of conversation shifts from human-to-human (H2H) to human-to-machine(H2M.) In fact, an employee from Cognizant even chimed into the above Twitter conversation that they are actually working on this. A smart chatbot to aid in community management will likely do volumes to improve the effectiveness of online communities, which are still getting short shrift in terms of investment in the professional skills needed to manage and facilitate them well.

In short, I believe smart chatbots will revolutionize digital/social engagement by adding a much needed automation and support of communication, knowledge management, and collaboration. There are also high value scenarios for chatbots connected to the e-commerce especially, an area that Facebook was careful to emphasize at F8. Chatbots will likely contribute to some digital noise as well, but filtering has proven effective in general for social environments in recent years. Overall, the emerging ensemble of conversational technologies is going to offer a compelling new access point to digital value for the average people in a very substantial way. At this point, I’d strongly recommend that most organizations add them to the new enterprise technologies to watch.) I will be adding smart chatbots to my upcoming 2016 enterprise tech watchlist on ZDNet as well.