Read more →
With this logic, many sectors of the economy have moved ahead with remarkable speed. Technology, Healthcare, and Finance are all areas in which the intensive investment in Human Capital has yielded enormous fruit in terms of growth, profit, and innovative advancement. Unwilling to be left behind, “traditional” sectors like Manufacturing, Energy, and Transportation, too, have adopted similar attitudes, programs, and processes to ensure that they optimize their benefit from the maximal use of Human Capital, both internal and external to the organization.
Productivity and Creativity are the keys to this connection between “people-power” and business success. Both of these elements are essential to the development of a progressive, “learning” organization that is able to create and capitalize on new ideas, new trends, and new offerings. It is here, in the combination of two seemingly disconnected or even antagonistic factors, that the conundrum lies: how does an organization manage to both maximize “output” and to pivot creatively? In the common conception, the former is about operational efficiency, and the latter is about artistic license; these two ideas can be in conflict, but great organizations create a space in which both are possible and—you guessed it—technology plays a huge role in this harmonization.
Connection between “people-power” and business success
With regard to Productivity which, put in a different lexicon, implies the ability to produce outcomes at scale, the recent adoption of Machine Learning offers enormous potential. Beneath the technical surface, Machine Learning implies both intelligence and automation powered by data and prediction. In this way, ML allows for intelligent systems in which agility and automation create speed and scale at a heretofore unimaginable magnitude. Advances in both software and hardware allow organizations to avail of the benefits of ML at a manageable cost; as such ML is far more widespread than it was even a year ago and is growing exponentially.
While ML is undergirded by Human Capital insofar as brilliant engineers and scientists are required to create “agility by algorithm,” many believe that it will undercut Human Capital because, frankly, it is too powerful a tool for intelligence and automation. Why do we need humans, they ask, if machines are adaptive and smart? The debate about the extent that ML will either produce or reduce human capabilities and jobs is far beyond the scope of this piece, but suffice it to say that whatever one’s views on the matter, it is clear that the combination of ML and human creativity is the most potent.
A combination of ML and human creativity is the most potent
This is true for a variety of reasons that underpin, the idea espoused at the beginning of this piece, namely that Human Capital and creativity are core sources of advantage. The argument for this is simple-yet-powerful.
First, ML itself is based on human ingenuity. While there are arguments that machines will soon pass the famous “Turing Test,” we are still not at the stage in which human creativity, with its infinite permutations, is replaceable by machine.
Second, given the infinitude not only of ideation and creativity, but of consumer behavior, the acts of “human understanding and empathy” is not matchable by machine. Given that most businesses require products and services that humans, with their seemingly infinite frailties, variations in taste, and temporal behavioral changes, have to buy, the human-to-human connection prevails as the most important source of inspiration. Creativity and empathy provide the motive force, while ML creates the scale and speed required in the modern enterprise. Both are necessary while neither is sufficient.
Third, much of business is built on relationships and not optimal transactions. This point requires no explanation.
Fourth, since presumably ML is an “equalizer” insofar as any relatively solvent organization can pay for platforms that are ML-enabled, people are the differentiator, not systems.
Great organizations emphasize and laud Human Capital but also provide humans with the tools required for massive operational success. ML is just such a tool and when put in the hands of great teams, is the source of sustainable advantage.
Home Management Automation is huge in today’s busy world. Concepts like One Touch, Checking-In On Your Home, and Virtual Home Management have become staples for our fast-paced world. So naturally, technology that can manage communication to and from devices and services seems a perfect fit for maintaining safety and smooth running of the place you go to relax and refresh! How did we develop our unique take on this exciting tech notion? Glad you asked…
At Akvelon, we are constantly working on a variety of Internet of Things (or simply IoT) projects! Recently, we demonstrated how easily you can create an app to control AllJoyn powered devices. Now, we will take our ingenuity a step further by enabling more natural interaction with AllJoyn powered devices – via the power of machine-based AI and intelligent services provided by Microsoft Cognitive Services and Cortana Intelligence Suite.
Microsoft introduced the Bot Framework (part of the Cortana Intelligence Suite) a few months ago, so that everyone can easily build and connect intelligent bots to interact with your users naturally. This means the user could be anywhere, using any popular service – from text/SMS to Skype, Slack, Office 365 mail or virtually, anywhere. We believe this same approach is applicable to home automation scenarios as well. Just as you connect services and interact with other users, you can now interact and manage your Smart Home via intelligent bots.
Check out demo below:
The scenario above demonstrates a very simple case (treat it as proof-of-concept). You can also target complex and intelligent scenarios using another Cortana Intelligence Suite component called, Language Understanding Intelligent Service (LUIS). LUIS offers a fast and effective way of adding language understanding to applications by using pre-existing, world-class, already-built models from Bing and Cortana. (try examples). And when you need specialized models, LUIS guides you through the build process, in a fast and easy way!
LUIS is well integrated and fully supported by Microsoft Bot Framework. Watch Building a Conversational Bot: From 0 to 60 to learn more about Microsoft Bots and LUIS support.
Below is proposed architecture to use intelligent bots to control your home.
Step 1 = Set up your Local/Home network
1. Use the following instructions to create Windows10 UWP app to control your home smart devices using AllJoyn: https://www.linkedin.com/pulse/windows-10-alljoyn-make-your-iot-devices-apps-speak-sergei-grebnov-1
2. Install created app on Windows 10 device (for example, Raspberry PI 2 or 3 with Windows 10 IoT Core)
Step 2 = Create the Bot
1. Use Bot Framework Getting Started to learn how to create new bot.
2. Learn how to integrate LUIS to your bot: http://docs.botframework.com/sdkreference/csharp/dialogs.html
3. Register the bot and add communication channels: https://dev.botframework.com/bots/new
Step 3 = Connect the Bot (cloud) and Windows 10 App (home)
Taking into account that the Bot is ASP.Net web application with REST API, we can use SignalR as communication channel between the Bot and home Windows 10 app.
1. Bot (SingalR Hub): add hub functionality to push content to the client (tutorial, sample code).
2. Windows10 UWP app (SignalR Client): add logic to connect to the hub and process incoming commands (tutorial, sample code).
That’s it!!! You are all set! Now, you can use your preferred client app…like Skype, Slack, etc. … on your favorite mobile or desktop platform to interact with Smart Technology in your home. Whether you are in a local network or outside and remote, you stay connected and keep your Home running the way you want.
1. Visit AllSeen Alliance to learn more about AllJoyn or meet local community (AllJoyn Ambassadors).
2. Learn more about Windows 10 and AllJoyn and how to create your first AllJoyn application for Windows 10 device.
3. Visit Bot Framework Getting Started to create your first bot.
4. Reach us if you have any question.
We held our annual Akvelon Holiday Party on December 18th! Check out some of the photos from the event:
Sorry, the comment form is closed at this time.