The Next Big Thing
Posts about next generation technologies and their effect on business.

2015 – a year of service innovation

crystalball.gifI believe that 2015 will be reflected on as a year of real service innovation. All those technological trends of the past decade are going to come to roost in the services of organizations in every industry. Establishments that view services as someone else’s problem will be left in the dust by those that realize the technologies of IoT, automation and analytics are causing change into the expectations of business value by the services that surround them. New services will spring into existence enabled by the flexibility of solutions like 3D printing, SDN, OpenStack and software defined anything (SDx). This post will try to justify that prediction, in a number of ways.

 

The US (NSF, White House) and EU governments recognize that there is a transformation taking place with services and are looking to see how governments can invest in service innovation. They know that the models and techniques used previously are not up to the task and are looking to shift those efforts to take advantage of the abundance of information technology capabilities that now exist and improve the understanding and capability in the services space.

 

The wearable devices we’ve seen to date have remained relatively stand-alone, providing a bit of interaction and information. As the services that consume that information advance, we’ll see a 3rd generation of wearable devices that interact with their environment, to provide a more proactive set of capabilities. This will be part of a shift in the Internet of Things that will stand up from its current crawling position to (at least) toddle along moving close to an Internet of Everything (and Anything), focusing on an enabled environment.

This will shift business resources away from process workers to a more automated environment consuming more and a different kind of analytics, moving to a human-augmented automation approach in many areas (rather than the other way around). Those interested should invest in the book, The Second Machine Age. These approaches will provide greater insight and transparency to customer actions as well as intent, enabling businesses to proactively provide services.

 

For the consumer the move to services that enable a digital life will continue and accelerate. Using the techniques described above, continuous monitoring and assistance will become a possibility. There will be concerns expressed about this monitoring moving from optional to required, in order to receive certain kinds of services. Similarly, the concerns about autonomous cars will shift from an ‘are they safe’ footing to ‘should they be compulsory’ discussion. Although we’ll not see mandatory automation/tracking… in 2015, the discussion and concerns will move from pockets of zealots into the mainstream, impacting everything from healthcare services to insurance…

 

No discussion of the future is complete without some mention of security and privacy. As enterprises move workloads to the cloud, enterprise-level security needs to follow. Most organizations do not have their processes at this level of maturity so security and privacy will bloom into an even larger service industry, since help will be needed. Although cloud computing helps address the issues of limited energy and resources, security and privacy protection services will become a critical concern in the forefront of business in 2015. The same will be true at the micro level as embedded devices leak more behavior information into the environment and the need for their protection becomes clearer.

 

The services for manufacturing and product production will undergo a shift in 2015 as well. Mass production will still be king, but personalized manufacturing will shake up planning in the global economy. According to Gartner, sales of 3D printers will double each year between 2015 and 2018, and exceed sales of more than 2 million. This will trickle down into transportation, logistics and industries other than manufacturing. We’ll see the products become platforms for further customization. Much like you’ve been able to have Coke or M&Ms personalized for a while now, it will be possible for a greater percentage of products (both physical and services). With the additional of sensors, greater connectivity and computing, these personalized platforms will further expand the momentum for intelligent services. These custom platforms will allow greater consumer engagement, with the producer as well as with the other consumers of the product.

 

In the predictive and analytic space the solutions will shift to enable greater flexibility in engineering the attention of service desk personnel as well as the people who call in. Next generation BPO/call centers will rely on greater levels of automation and less on low cost workers. That shift will not take place in 2015, but the products targeted at this shift will become more prevalent this year. These capabilities will move into other business processes as well, enabling them (HR, Finance…) to become systems of action for the enterprise, shifting to address business goals while at the same time providing greater insight and transparency about shifts in usage and consumption.  

 

The final area I wanted to mention was that the interfaces into these services will change too. We will see a reemergence of augmented reality. Virtual reality research received a great deal of attention in the 1980s, but didn't take off due to the expensive hardware, poor sensing, and display capabilities. All of these limits have now been largely addressed and the ubiquitous mobile device (we all carry) makes it a natural for our always on world. Juniper Research states that annual revenues from mobile augmented reality (AR) services and applications will reach $1.2 billion by 2015, moving beyond the demonstration devices by Google and others onto the edge of mainstream.

 

One aspect of this services shift that needs to be considered is the difference between the desired objectives and the unintended consequences that result. This will be a rapidly changing space, so an iterative approach that starts small and works up will be required. Joining organizations like ISSIP and moinitoring the success (and failures) of others will also be a good investment in 2015.

Grading my predictions for 2014

grading predictions.pngEach year about this time I look back at the prediction post I made the previous year December (200620072008200920102011, 2012, 2013). I didn’t do predictions the first year I blogged but have managed to do one every year since.

 

Now it is time to look at 2014. I said that 2014 was going to be a year of instability. Depending on what industry sector or organization you’re in that was definitely true – but that’s the kind of easy prediction any fortune teller could make. Let’s get into the details:

 

I’ll grade myself with the following scale again this year:

A: Big changes during the year that are having wide effect.

B: Notable progress through the year and isolated areas of significant impact.

C: Progress with some impact

D: Little progress or impact – but work still taking place

F: No progress or the concept abandoned in any commercial sense.

 

Grade

Prediction

Rational

B

Shift from commodity services to a value play

This is definitely happening but slower than I thought it would.

C

Relationships shifting up the stack (from IaaS to Paas or SaaS to business services)

Although business-based outcomes are becoming common, there is still more smoke than fire here.

C

Similarly the view of BYOD will shift to more of a services perspective.

This one I also give myself mixed reviews. Although the BYOD momentum has shifted to more services, we are still not seeing real security brokerage services or other high value services in a standardized form.

A

New style of business

We have definitely seen much more discussion about the business capabilities and new needs provided by new computing capabilities. The concept of a race with the machine has definitely gained in mind share in 2014. Although the self-aware enterprise is still a long way off.

B

Wearables

I have mixed feelings on this rating. Although you can’t throw a rock and not hit someone coming to market with a new wearable device, they are not being effectively embraced in business processes and enterprise user interface design. They are also not yet forming networks of functionality.

B

Software defined anything

The open approaches of   OpenStack for Cloud OS and OpenFlow for software defined networking have definitely come into their own in 2014. There are still distractors who are fighting this rising tide but most see where this is headed and incorporating the shift into their mental model.

B

Software and analytics

2014 has definitely been the year for big data and analytics buzz words. I don’t think it has come to the point of there being widespread embracing of systems of action. Mobile is still viewed as something special and not just one of the many the interface points by most working in the ‘mobile’ space.

D

Software portfolio assessment

Of all the prediction areas, a fundamental reassessment of the software portfolio against the revised needs of the business, is an area where we’ve most missed our potential in 2014. Most organizations have not shifted to a holistic environmental perspective that will empower the organization and enable them to empower others. Organizations still need to assess what is abundant in this new world and maximize value from what will still be scarce for them and others.

A

Engaged and motivated employees will still be scarce

This is definitely true. In this age of automation, the value of good people and a predictable talent creation pipeline may actually be more important than ever. People are not fungible and as we increase our automation, that will be even more true, not less.

 

Based on these scores, my predictions for 2014 were at least not too conservative. My personal goal is to get close to a C+. If I get too high a grade, I am not trying to stretch my thinking (or yours for that matter) enough. Maybe I should strive to stretch enough to get at least one D??

 

My view is the same as when I finished up my post in 2011:

 

“Having said all that, it is a great time to be in IT. Most of our concerns are currently driven by an overabundance of capabilities that most organizations have not tapped into effectively. Those who can have the vision will be in for quite a ride this year as they look to do more with more.”

 

I should have my predictions for 2015 out later in December.

 

 

An IoT example everyone can understand and many of us have already encountered

Sometime this holiday season I am going to be at some function where I’ll be asked about a real IoT application. I usually like to have an example that a layperson can relate to and ideally experienced -- more than the smart thermostat or metering that we’ve been talking about for over a decade.

 

This short video about Kroger does a good job (about 36 seconds in) of explaining an innovation that many have already experienced and not really known it was happening. They’ve had QueVision® implemented at my neighborhood Krogers for a while. It really does cut down queue length for the consumer.

 

 

We know IoT is having impact – when it doesn’t draw our attention. It is also a good example of using automation in a subtle way to improve the experience of everyone involved in a process.

It is not a panacea though, these efforts may point out issues in other processes. You can’t make just one part of a business super-efficient without having impact elsewhere. There is a lesson there as well.

 

Macro and micro opportunities – it is more than just perspective

magnify.pngLately I’ve been in a few conversations that focused on Smart Cities. I view this as a specialization of a set of problems that deal with systems of system -- a macro view of an opportunity set. I was in a discussion today with some folks talking about IoT but they had a very micro view of the opportunities and value possibilities. It seemed to be a case of not being able to see the forest for the trees. They were almost totally focused on looking at the data in and the management of the devices.

 

With the shift in computing capabilities taking place and the new approaches to highly parallel and distributed computing the approach to programming will need to shift away from the more common approaches to environments that specialize in highly distributed data and processing techniques to generate value.

 

The macro issues of data blending and derivation to identify patterns and behaviors will shift our definition of value and even what’s possible. This is going to enable new levels of automation and that means new skills for those involved. It is all part of a fundamental shift in computing over the coming years, so it is not so much about ‘smart cities’ as it is about a shift from ‘things’ to a focus on the actions enabled and the value generation possibilities within and around an ecosystem.

 

There was a twitter chat that I was able to sit in on for a few minutes today and they were talking about the ‘digital’ potential and direction for 2015. To me, the separation implied by the word ‘digital’ was jarring.

 

We need to focus on the potential at the micro and the macro level and the holistic view of what it is going to take culturally, behaviorally and technically. It is an ‘and’ not an ‘or’ world and not everyone or every enterprise or city will progress at the same rate – and that’s OK and hopefully we can understand why.

 

Powerful automation tool for Android

android.pngThere are a number of tools to automate mundane tasks in android like:

  • turning on WiFi when I get home
  • turning off WiFi when I am in the car
  • putting the phone in silent mode when I am in a meeting

I recently came across On{x} from Microsoft that helps you ‘automate your life’. It looks like it’s been in beta since June, but I didn’t come across it until October.

 

The tool allows you to program various actions based on triggers in JavaScript. There is also a repository for sample recipes that you can look at and extend. Just what a technologist needs on those cold winter nights.

Labels: automation| Mobile
Search
Showing results for 
Search instead for 
Do you mean 
Follow Us
Featured
About the Author(s)
  • Steve Simske is an HP Fellow and Director in the Printing and Content Delivery Lab in Hewlett-Packard Labs, and is the Director and Chief Technologist for the HP Labs Security Printing and Imaging program.
Labels
The opinions expressed above are the personal opinions of the authors, not of HP. By using this site, you accept the Terms of Use and Rules of Participation.