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Sie finden Antworten zu folgenden Fragen in diesem Beitrag

Was ist Natural Language Processing (NLP)?

Warum ist NLP wichtig?

Welchen Mehrwert bringt NLP für Unternehmen?

Im Bauwesen bedeutet der Begriff Decke ein horizontales Bauteil, das einen Raum nach oben hin abschließt, er kann aber auch etwas völlig anderes bedeuten – nämlich Decke im Sinne von Tischdecke oder ein aus textilem Material hergestellter Gegenstand zum Zudecken. Dieses Beispiel zeigt, wie verschiedene Personen unterschiedliche Bedeutungen und Zusammenhänge mit demselben Begriff verbinden. 

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? 

To buy or build is a question many companies struggle with as they progress their digital transformation. In the past, “out-of-the-box” solutions used to be synonymous with rigid and inflexibility, so the concept of custom-built to exact specifications is enticing. And, the concept of a custom-built insight engine made to your company’s specifications that can meet your exact needs seems like a no-brainer.

Daten sind das Gold der digitalen Transformation – aber nur, wenn aus ihnen Wissen generiert werden kann. Insight Engines wurden entwickelt, um genau diese Aufgabe zu erfüllen. Daniel Fallmann, Gründer und Geschäftsführer von Mindbreeze, definiert die wichtigsten sechs Insight Engines-Trends für das Jahr 2019

Data is the gold of the digital transformation – but only if knowledge can be generated from it. This is exactly the task that insight engines were designed to accomplish. Daniel Fallmann, founder and CEO of Mindbreeze, defines the six most important insight engine trends for 2019.