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

Fluid.IT – turning BYOD inside out, to focus on me

fluid.jpgOne of the issues with efforts like BYOD and IoT is that it can easily add more complexity for the individual. Attention is one of the scarcest resources we have and these new approaches need to demand less from users not more and more. They need to recognize the context of what’s happening and filter or even act upon it – rather than cry out for attention.

 

There is quite a bit of press related to various approaches recently to shift how email is used, but most of these efforts still remain focused on email. Frankly, email is a conduit and most of us have many of these conduits feeding into our lives. Also, it is just one of many conduits, depending on your role. What I want is a digital butler on steroids that works on any device and makes sense of your e-life, e-work and e-history. It hides the complexities of the systems and provides a unified experience around me.

 

This is exactly the kind of research some of the individuals in HP Labs and PPS showed me the other day. A tool called Fluid.IT that shifts your focus from the various sources (e-mail, CRM systems…) to focusing your attention on what you’re really like to get done – no matter where it needs to happen. With Fluid.IT you don’t need to know where your services are (after the initial setup), you just know it’s doing what you need done. This is sort of like when you put your money in the bank. You know something is happening there with it, but you don’t really care. You just want to be sure you can take it out when you need it. Fluid.IT derives the context and aggregates what is important to me, providing more about what I need and less about the plumbing of addressing that need.

 

It includes concepts like liquid-talk that facilitates collaboration in the ideal method of the receiver not just the sender and allow for both enterprise-level and individual customization. The whole approach is delivered using platform independent techniques that allow you to consume wherever and whenever you need to. It is an examples of providing a customized approach in a standard way leveraging the tools that already exist in your personal and enterprise life.

 

Are there systems where you can see this approach applied? I can see it for sales (as I mentioned with CRM) or in the healthcare provider space where you’re pulling together information from a variety of systems and would like to have situational awareness with minimal distractions. They have implemented gamification techniques to facilitate the behavioral understanding and improvement from across a range of systems.

 

I see these kinds of systems as a stake in the ground for what we’ll all be expecting in the near future for our interactions.

The fallacy of the ideal entry level job out of college

 

Sisyphus.pngI was talking with an individual this week that was looking at accepting their first ‘real’ job. They were torn between the job that was offered and the job they really wanted to have. They were also debating about the constraints this job would put on their personal life.

 

Since they have a background in the sciences I advised them to break it down. Will this job:

  1. Give them greater flexibility to do the kind of things they really want to do – than you have right now?
  2. Provide experience that would look good to future employers in the areas where they’d like to work - in the future?
  3. Allow them to develop skills they know will be valuable both now and in the future?
  4. Have a culture that you can survive and even thrive?
  5. Put food on the table – right now?

I think they were having a bit of an issue with a big decision that definitely thrust them into the real word. I told them that everyone changes jobs many times in their lives. This is only the start, not the end. My own philosophy is that after 2 years, I am part of the problem not part of the solution – so I tend to move around organizations quite a bit.

 

I also described to the person that this whole idea of a work-life balance is a ‘first world problem’. Sure it is great to talk about when you have fluid cash and time on your hands, but it gets down to the fact that there is only life. Work, leisure, personal goals - they all drain from the same pool. You can’t spend your entire life looking for greener grass, when you don’t yet even have a yard.

 

After working as long as I have, it can be enlightening to help someone with these kinds of decisions. They are the ones that will need to pick up ‘the next big thing’ and do something with it – and hopefully pay taxes along the way to support people like me once I’m gone.

 

Of course if they really get desperate they can flip a coin that usually makes the decision your subconscious has made for you a bit clearer.

 

Tags: future| Trends| Vision
Labels: Future| Trends| Vision

What should be the goal of cognitive computing?

automated decisions.pngSome organizations think that cognitive computing is about getting better answers more quickly, typically using English to form the questions. There is no doubt that there is tremendous appeal to getting the answer to question in natural language, but is that really enough. In a world of data abundance, it can be difficult to know the right question to ask.

 

Unfortunately, many times it is the questions we never knew to ask, that turn into potential big gains or losses. One of my co-workers from HP labs mentioned that:

“It is interesting to note that change detection is a core competency (and survival property) of the visual cortex; it responds quickly because it constantly compares visual input with memories of what the world should look like. Thus, as we build next-generation systems based on large amounts of rapidly changing data, you want the data to self-organize, recognize similarities, detect changes, and help you assess anomalies so that these may be investigated.”

 

In addition to systems, we need services that enable the decision maker (human or machine) to react, respond and investigate based on the context of the information available, so that the entire ecosystem learns and adapts. It could be that having the future approach focus on better questions than better answers and how to display those questions and their answers more effectively should be the goal.

 

When I talk to leaders about where the future of services is headed, this is where my thoughts tend to go and it is going to take different techniques than organizations have deployed today.

Enterprise Automation: a cure for matrix management woes?

 

automated decisions.pngMatrix management came about to increase communications, flexibility and collaboration between the various parts of an organization. In the process, some people view that it has increased the latency in decision making and the ability of organizations to respond quickly to situations.

In a recent HBR article, Tom Peters wrote about moving Beyond the matrix organization. In the article, he talked about the issues matrix organization structures are trying to address and the various unintended consequences.

 

We have new tools today that can address communications, flexibility and collaboration (among other characteristics) that didn’t exist when the concept of matrix management was formed. The article states:

 

“Under the time-honored principle of management by exception, the organization runs itself until divergence from plan triggers off a warning signal. However, in today’s complex organizations, equipped with overly elaborate planning and control systems, warning signals are constantly being triggered. Giving the attention of top management to each (the implicit consequence of matrix structure) means dissipating the company’s sense of direction.”

 

These seems to be exactly the kind of issue that cognitive computing techniques and automation could be applied, sifting through these triggers and handling the ones that are understood and focusing our creativity on those that actually could benefit – we have the compute power. The alerts coming from these systems would not be distractions, but opportunities. We’re seeing exactly these techniques enabling cloud computing, enabling leveraging of large arrays of resources. Now it just needs to be expanded into the rest of the enterprise.

 

 

Automating programming in a self-aware enterprise

 

AI.pngThere was an interesting article in NewScientist about a new approach to providing computing capabilities, computers with human-like learning that will program themselves. They talk about new approaches for computers to program themselves.

 

Earlier this year when ‘the machine’ was announced at HP Discover, this scenario was one of the first things that came to mind, since memristors can be used to provide neuron-like behavior. When you have universal memory whole new possibilities open up. When I saw the NewScientist article, it did make me think about a number of applications in the enterprise, since these techniques will be as far beyond today’s cognitive computing as today’s approach is from the mainframe.

 

Always bet on the machine is in a post from 2008, that was contemplating the future of development. What I probably meant was: those who learn to work with the machine will still have a career.

 

I’ve mentioned before that much of today’s management function is ripe for automation. With approaches like this, an enterprise autopilot is conceivable that can optimize a businesses’ response to normal business situations. Questions probably has more to do with ‘when’ than ‘if’.

 

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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.
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