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

Diversity of perspective is needed for IoT efforts

 

crayon.pngLately I’ve been coming across more articles like this one that states: 12 Hurdles Hampering the Internet of Things. It is definitely the case that there are positives and negatives for every new technology. In a previous post: Preventing the IoT from being the Oort cloud of the enterprise, I provided a few of some of these challenges.

 

I realized that there was not much about maximizing the positive benefits and minimizing the negatives. Diversity of perspective plays an important role – after all if we’re all thinking about the problem in the same way, only one of us is really needed. To tackle this problems you need individuals who look at both the business implications and the technology.

 

Like a successful market system, the innovation process has two dynamics: supply and demand. Supply is the reserve of ideas. It’s generated when leadership creates an environment that encourages those in the enterprise ecosystem to bring new ideas forward, to question the status quo. It comes from employees who live and work in that setting.

 

Demand is the organizational expectation of improvement. It’s the process of setting objectives and ensuring that everyone is clear on how they will be measured. It’s about establishing expectations to ‘do even more with more’ using the abundance of capabilities available.

 

For the Internet of Things you need different views on security, those who want to make the most out of the data for good and those who can see the implications of its improper use.

 

I was talking with some folks the other day about completing a Proof of Concept and mentioned to them that a PoC should be designed around answering questions. Sometimes the answers are yes and other times no. They shouldn’t view it as a failure if they don’t get the answer they wanted. The fact that they know something now rather than basing their perspective on supposition means the PoC was a success (even that knowledge can be fleeting though because there is so much change in capability today). Strive for better questions and let the answers fall where they may. Finding the lines is more important than coloring within them.

 

 

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.

 

 

World quality month

36796-125x125-WQM-14.gifDuring the month of November, organizations around the globe join together to celebrate World Quality Month. The hash tag on twitter is: #wqm14. The goal of WQM is to: “promote the use of quality tools in businesses and communities. Quality tools, such as flowcharts and checklists, reduce mistakes and help produce superior products. Quality principles could reduce headline-making errors, like food safety, toy recalls, and financial disruptions.”

 

Quality is one of those words that the definition is dependent on an individual’s context. Sure you can have SLAs in a contract, but if you’re still not happy at the end of the day, the definition of quality wasn’t quite right.

 

When I talk to technical leaders about their role one of the statements I commonly make about their role and quality is: “Quality is what you’ll put up with.”, since that demonstrates what you’ll accept to others.

 

Another example of leveraging sensing

 

cosmic ray detection.jpgA few weeks back I had a post about the underwater use of the IoT, focused on a surprising use of an existing sensor pack. In a similar vein there is a project - CRAYFIS (Cosmic Rays Found in Smartphones) – that is aimed at using the cameras in smartphones and tablets to detect the lower-energy particles that are produced when cosmic rays strike the Earth’s atmosphere. It could built a very large array of high quality sensors that would be financially impossible to create any other way. The data collected may be useful to study a number of important issues, like changes in the earth’s magnetic field.

 

I always find it interesting when a sensing pack is designed for one function, but once it is in place other uses are found. As the enterprise use of IoT expands these stories will be more commonplace, as well as stories of unintended consciences.

 

Labels: IoT| Mobile| Sensing| Sensors

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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