Are you tired of some of the vocabulary that you use currently? the Value added, reengineering, lean management, kaizen, core competences, among so many others? Then it is time to start using new terms and words. Renew your stock and go consuming as you speak, exposes or writes. There is a new language and a new linguistic ecosystem waiting for you. See 10 examples. Among many, many more that are available.
1) IoT – Better to use the acronym than to mention extensive. We all have to know that this is the Internet of Things. What is this? All that we are able to put to communicate to the network (the internet infrastructure devices, pc’s and quejandos that ensures the existence of a network) and not to the web (where is the information). Even more simple? Good, if we can put ourselves to communicate to the network would be, for example, through a set of sensors, which aporíamos in ourselves, that would measure and transmitiriam the number of beats the heart, our temperature, several hours of meal, the calories consumed, the number of steps or run, the calories lost in accordance with the exercise. We can do it with a device disconnected, however on the network (internet) there are several applications that allow you to accumulate data and create our story in a number of dimensions. Who says our says of all the objects that we want to connect to the internet: the statue of the Marquis of Pombal (you can always want to evaluate your temperature, not the mood) to the door of our refrigerator (in order to know the number of times it has been opened in a given time period).
2) Agile & Scrum – Applicable to projects or teams or even companies. In supply chain there are years that uses agility as a form of combination of time and cost (low). The term, however, gains expression because it is a term easy and simple, and is in addition to the lean (cost and quality of service, arising out of the supply chain) but also if you can reconcile with him. Now the agile means being flexible to address the various problems and issues that appear in unpredictable ways. While, for example, that we have an approximation of lean it is necessary to have some predictability in the demand in the agile unpredictability reigns. However, the unpredictable can be treated with trial and error to re-do trial and error until you get it right. Quickly. Without necessarily being sequential. Doing or promoting short cuts. Attached to agile comes from the term scrum that dictates, in a simplified manner, a frame of mind to the development of a product or a pr oject – among others – using people in cross-functional teams and self-managed. Agile is, therefore, a movement or a philosophy where people practice scrum in terms of the foundational.
3) Ecosystem – Ecosystem that is more than a system. A system has parts, or elements, with respect to certain rules, with a border and having a character teleological, i.e., purpose. And the system can be open or closed, such as the ecosystem. However, the ecosystem must have more than just that is asked of a system because it has parts eco. Which parts of the eco? Good, in the limit we, humans, are going to be the part of eco system. Thus the biotic factors of the ecosystem will be the human that it swarming. The abiotic factors will be, by inference, all computers, devices, and because not elements of nature: earth, air, fire, water, for example, and among other not echo.
4) Code Ninjas – Are employees of companies/organisations with specific characteristics. Will be part of the ecosystem. These employees usually have good knowledge of programming languages, in particular, are able to produce code in languages such as C++, C#, Python, Delphi, Pascal, HTML, CSS, Java, JavaScript, ActionScript, Lua, among others. Sometimes, for managers, are wild cards that bring knowledge of how to materialize an idea, for example, in the digital ecosystem.
5) IT artisans – Are also collaborators with strong skills in technology. Anyone who develops content for the web that have some sophistication behind it, namely that enable automation and response without human interaction, are IT artisans. Can sometimes be Code Ninjas if you dedicate to programming. But they can be different and just be, or to have a literacy informational greater than the average to be able to be artisans. Are employees very tech oriented and who would hardly know how to think of solutions without technology informational, for example.
6) Actionable analytics (& Self Service Analytics – SSA) – to the extent that the V s of Big Data (data from formats and different sources, and workable if they are going to making operacionalizáveis, i.e., as we are able to work large volumes of data, with great speed and in great variety – not to forget the accuracy of the same (from the source to the results of the data) – then the analysis becomes possible, actionable. Then to actionable analytics…we are close.
7) Millennials – individuals born in the years 80 and 90, and which are adults (or almost) at the time of the new millennium. Turn out to be a fusion between generation X and generation Y, and bring numerous challenges when integrated in organizations: are difficult to understand because they do not want the comfort of employment, prefer to learn and continue to learn how to eventually earn more money, replace the work "stable" for a trip around the world when they win a little cash, have got used to the feeling of insecurity, are often indifferent to what goes on around you and, above all, as little comprehensible by the generations that preceded them because no one can manage or sustain. Are often interpreted as a deeply selfish nonetheless have some misgivings that the explanation is as simple as that.
8) Deep learning & advanced machine learning (AML) – In fund is to grant to the machines, designing them to do so, including computers, the possibility to learn without being explicitly programmed for that purpose. It is a combination of pattern recognition and artificial intelligence to explore the study and construction of algorithms that can learn from and be predictive from multiple data sources diversified.
9) the Uber of something – a business or a company which became as emblematic as the Uber and that you can, seemingly sustainable, becoming a success case.
10) Engagement – a contributor, or someone committed to something (a project, product, service, or other), in a company or organization. Someone engaged is someone who is able to be motivated and committed with any aspect of the organization. Fiancé is what you want of the employees and all professionals. Or of the students. And, why not say it, of the teachers.
to get Used to this new (?) language. The new linguistic ecosystem. A good part of the new terminology is closely related to digital – the eleventh and most important term in the lexicon and which was missing in the list above.
Professor, Nova SBE – Nova School of Business and Economics, crespo.carvalho@novasbe.pt
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