IoT starts to come home

Over the years, I’ve played around with a few IoT solutions. Sunday, I decided to seriously tackle some outdoor lighting, by replacing one of my light switches with one that can be controlled from the Internet.

372.jpgI looked at a number of solutions and found that there are surprisingly few that will replace a 3-way switch (in fact the only 3-way switch I found was from GE and then I would need a controller…). After looking at my requirements, it appeared I only needed normal light switches and the one I chose was the Belkin Wemo® Light Switch. Fortunately, my house was already wired with switches that looked fairly similar, so my wife was happy with the result.

Thanks to Amazon same day delivery, the new switch was at my house at 6PM on Sunday.

I had it unboxed, wired in and controlled by IFTTT in under an hour. So now I can control when the light go on and off automatically and can turn them on manually from my phone. Not bad… for an hours work.

I have a few more projects that I am planning to do around the house, so I’ll write about those too, as well as anything I learn along the way. An example setting up a dedicated wireless LAN just for the IoT devices (to localize any security issues).

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Action as a services moving forward…

action 002Had to laugh when I saw this post from Forrester titled: “Big Data” Has Lost Its Zing – Businesses Want Insight And Action since this is a song I’ve been singing for a number of years now. The first post about this I could identify was back in 2007.

Big data efforts should be measured in time-to-action, not time-to-insight. IT organizations need to be defining, developing and deploying systems of action.

To quote myself: “the organizations that can understand “normal” and focus the people on the areas that need their creativity will shine in the end. This relationship between situational awareness and automation needs to be part of organizational strategic planning, much more than what most architectural processes allow.”

Glad to see that analysts are recognizing this.

General fact checking falls to automation too?

true or falseFact checking by humans cannot keep up with the tremendous volume of information generated online. Now, computers can do fact-checking for any body of knowledge, according to Indiana University scientists, writing in a paper titled: Computational Fact Checking from Knowledge Networks. Computational fact checking may significantly enhance the ability to evaluate the validity of all the dubious information, the Internet is known for.

Using factual information from summary info boxes from Wikipedia as a source, they built a “knowledge graph” with 3 million concepts and 23 million links between them. A link between two concepts in the graph can be read as a simple factual statement, such as “Socrates is a person” or “Paris is the capital of France.”

The researchers aim to conduct additional experiments using knowledge graphs built from other sources of human knowledge, such as Freebase (the open-knowledge base built by Google).

The future of work…

working at a deskFast Company had a thought provoking post on The New Rules of Work – What Work Will Look Like in 2025. The focus of the article is on the technology enhanced human, enhanced by offloading many of the mundane elements of work on automation. Some of those elements (like recognizing faces) may weaken some of our mental faculties but the automation of other areas will likely refine our skills.

One statement that holds true today though is:

Workers will need to engage in lifelong education to remain on top of how job and career trends are shifting to remain viable in an ever-changing workplace

There is also a few expressed that the automation could eliminate bias from the hiring process. Personally, I doubt that since it would just codify the bias into the selection algorithm through the encoded selection criteria. Granted it may not bias based upon race or gender, but for those who really want a diverse set of perspectives in their workforce employee selection will still be difficult to do well.

One of the best elements of this article though is the number of links to other material on a range of topics. There were a number of links related to the topic of the redefinition of retirement.

In any case the workplace and the type of work being performed will be shifting and this article is food for thought.

Automation and leadership

automation2One topic that has been getting people excited over the last few years is that robots are going to replace many jobs or make some jobs much more boring. That is not even touching on the whole autonomous robot rebellion crowd’s concerns (I posted about an AI risks related podcast on NPR just last week).

Robotics is taking important roles ranging from milking cows, to working in kitchens, to logistics and order fulfillment. Now they are taking on more important functions in our business processes that used to be the domain of knowledge workers (even though it is happening slowly).

I do believe that the increased use of automation should shift how enterprises architects think about the enterprise and how that environment is structured. Automation is just another enterprise resource that needs to be defined, understood and optimized. The leaders are going to have to include these possibilities in their thought processes too.

These changes are inevitable. That got me thinking about a post that McKinsey put out about beating the transformation odds – after all automation efforts will be a transformation. Most of the article focused on the need for executive vision, clarity and communications. It also discussed the need for continuous improvement as part of the plan. Too often teams and breathe a sense of relief once a project is deployed, when in reality that is just point where it was given birth and now needs to develop and mature. Automation efforts are no exception.

Transformation is hard work, and the changes made during the transformation process must be sustained for the organization to keep improving.

Waste can be Good – it’s all relative

AbundanceAs businesses makes the transition to where the edge of the enterprise is wired into the operational processes of the business, we will start to consume our resources quite differently than we have in the past. We can use the abundance of computing capabilities to shed light on all the dark data currently available to develop a deeper contextual understanding of situations we encounter. Money may not be growing on trees, but there is much more we can be doing.

An article in Wired magazine back in 2009 discussed how: Tech Is Too Cheap to Meter: It’s Time to Manage for Abundance, Not Scarcity. In this world of exponential increases in capability, 2009 is ancient history, even so, the article is useful. It works through examples like how Alan Kay used the precious resources of the computer to display pictures on the screen instead of just textual data. George Gilder called this “wasting transistors” — making people more productive by using the transistors (computing capability) available.

The funny thing about waste is that it’s all relative to your sense of scarcity.

As we look to use higher levels of automation to handle more “normal” activities and focus people’s attention to turning anomalies into opportunities, we’ll use pattern recognition and other techniques that may appear to waste cycles. I hear people today complain about the expense of cloud computing and that it is out of control. That is more about what they use these resources for, how they measure impact and exercise control than anything to do with cost, at least from my perspective. As more capabilities become available and algorithms improve, we’ll need to do even more with more – not less.

The Wired article shows how behavior needs to change as we move from a perspective of scarcity to abundance:

From a perspective of Scarcity or Abundance

Scarcity Abundance
Rules Everything is forbidden unless it is permitted Everything is permitted unless it is forbidden
Social model Paternalism (We know what’s best) Egalitarianism (You know what’s best)
Profit plan Business model We’ll figure it out
Decision process Top-down Bottom-up
Organizational structure Command and control Out of control

This kind of shift in perspective is disruptive, useful and the right thing to do to take maximum advantage of a truly scarce resource – the human attention span.

Future of AI podcast

AIFor those interested in Artificial Intelligence, automation and the possible implications on the future, last week the Science Friday podcast had a panel discussion asking AI questions like:

  • Will robots outpace humans in the future?
  • Should we set limits on A.I.?

The panel of experts discusses what questions should be asked about artificial intelligence progress.

What was nice about this discussion was it goes into a bit more depth than the usual ‘sound bite’ approach in most media articles.

One thing that is clear from these discussions is that the simple rules described by Asimov are not really up to the task. After all each of his Robot stories was about the conflicts that come from the use of simple rules.

The podcast also prompted T. Reyes to write a post: The Prelude to the Singularity that discusses the controls needed before we let this genie out of the bottle.

For some reason, I now want to reread The Moon is a Harsh Mistress.