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Digital twins and insight engines in the context of aircraft maintenance You’re probably familiar with the feeling of sitting in an airplane, waiting for take-off, and just letting your mind wander. A glance through the cabin reveals countless welding seams, screws, or – if you look out of the window – the turbine, the wings and their flaps, and so much more.
Digitalization encompasses many different facets ranging from business process transformation to digital twins. Digital twins themselves are really nothing special, considering that they have been around for a long time – just think of all the social media platforms and the profiles they maintain. However, the notion of a digital twin is also an interesting concept for businesses and is attracting increasing attention in digitalization projects. That’s because the technologies used in this process provide new perspectives on real objects or existing processes. How companies can benefit from this and what role insight engines are playing in this process is brought to light in our blog series.
The digital transformation imposes tough demands on every company, no matter what their size or which industry they serve. More than anything else, the speed at which decisions have to be made has increased dramatically in recent years. This means that the companies that understand how to process their data so that they can actually leverage it any time and anywhere as a real basis for decision-making are the companies that will reap competitive advantages. In this article, Daniel Fallmann, founder and CEO of Mindbreeze, illustrates how much significance insight engines have already gained in this field today and which trends are emerging for the year 2020.
In recent years, the increasing significance of digitalization has also made itself felt in the healthcare sector. Digitalization offers new ways to optimize business processes at the organizational level and to use artificial intelligence to make the work of doctors and healthcare professionals simpler and more efficient – to enhance, but by no means “replace,” the human factor.
Obviously, business processes have come a long way. Just think of the way an accountant’s job has evolved over the past 100 years: from handwritten spreadsheets and mechanical calculators to fully electronic systems on computers. And the next revolution is just about to take place − blockchain systems that verify transactions quickly, securely, and completely autonomously.
Questions this Cheat Sheet seeks to answer: What is NLP? Why does NLP matter? What is the difference NLP can make for your business?
To journalists, a good tip is newsworthy information or documents that are shared exclusively with them. Yet to servers at a restaurant, a good tip is a sum of money given to someone as a reward for their services. This is just one example that shows how different people attach different meanings and context to the same keywords or phrases.
Organizations are only starting to get to the place where they are able to strongly focus on data quality. This evolution is still only at its beginning. Until we harness the power of data quality into the hands of employees, data will struggle to become impactful in organizations.
When digital television was introduced in the United States, networks waited fifteen years to switch off their analog signals. Smartphone applications support generations of operating systems for years. Even leaded gasoline wasn’t phased out overnight.
The rapid growth digital transformation has changed the way companies do business. There are new ways to manage data, harness insights and engage customers are just some of the opportunities that digital transformation provides businesses.
As a customer yourself, you can probably relate to this: A Forrester survey found that customers’ biggest pain points in getting customer service was consistency and lack of agent knowledge. As consumers, we’re acutely aware of those pain points, but what are internal teams doing to solve the issue? 

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