The tech business is constantly evolving, and new innovations appear on a regular basis. Adapting to changes means gaining all the necessary information about artificial intelligence (AI). As experts in the field, we would like to contribute to spreading the knowledge about AI by answering a set of questions that are frequently asked.
Artificial Intelligence are concepts and technologies that aim to enable computers to perform feats of human-like cognition. For Y.digital, core AI technologies include Natural Language Processing (NLP), Computer Vision, and Knowledge Graphs.
The goal of Natural Language Processing (NLP) is to enable computers to interpret text and spoken language in the same manner that humans can. Example applications include document classification, machine translation, speech processing, and topic extraction.
Computer Vision is a collection of technologies aimed at allowing computers to process images and video. Example applications include object recognition, signature detection and recognition, and table recognition.
Knowledge Graphs are a natural, machine-interpretable way to express knowledge about the world. This knowledge is represented as an interconnected web of attributes, relationships, and values. Knowledge can be automatically distilled from data collections such as texts (e.g. laws and regulations, rules, regulations, work instructions, professional articles, disciplinary law, texts in deeds and statements, etc.), or structured data sources.
Semantic Search helps users find relevant information in the ever-increasing amount of data available online or in a company’s internal repositories (e.g., SharePoint, OneDrive, FileShares, document management systems, email). Semantic Search relies on Natural Language Processing and Knowledge Graphs to go beyond literal matching, keyword-based search algorithms to unearth information that would otherwise be overlooked while avoiding clutter and irrelevant search results.
IDP helps businesses increase operational efficiency and productivity by streamlining their knowledge-intensive processes (e.g. desk & dossier-based work). IDP can significantly reduce the burden on knowledge workers by providing them with decision support on large volumes of dossiers or documents. Additionally, IDP helps to improve compliance, consistency, and data security by relieving human workers of time-consuming manual tasks, hence increasing employee engagement.
Optical character recognition (OCR), Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision are all part of a sophisticated IDP platform. It also employs AI components capable of analyzing both structured and unstructured data while continuously learning and increasing accuracy.
IDP is scalable because it can process as many documents as needed without becoming overwhelmed. Every day, you can handle millions, if not billions, of data points. IDP is the solution if your company has seasons with a higher need for document processing. It grows in conjunction with your business.
A voice app is a voice-activated software that makes an organization accessible via, for example, the Google Assistant or Amazon Alexa. The official term at Google is a Google Action, Amazon calls it a skill. Through a voice app, an organization gives the user the ability to communicate with the organization through the platforms of Google or Amazon.
A Google Action is an application on the Google Assistant. With Google Action, organizations can integrate their products, services, news, or entertainment with the Google Assistant. Think of Google Actions from Bol.com, the Hypotheker, or Racoon.
You can also use a voice assistant in your call center. We call this Smart Call Assistance. The customer can say what he is calling about in his own (natural) language, after which the voice assistant puts him through to the right department. Or he can give the correct answer himself, thus reducing waiting times. It also has a positive effect because waiting times shorten and the workload in the call center decreases.
Voice Search is searching for information using voice commands. Through the voice channel, users can make searches using their voice. To get information through Voice Search, a voice assistant and a device is needed. These include Google Assistant, Apple’s Siri, or Amazon’s Alexa.
More and more users prefer speaking over typing when they enter a search query. This is called Voice Search. Google’s algorithms then search for the best and fastest available answer. The top position is worth a lot here, especially since a voice assistant only gives one answer based on the search algorithm - this is particularly important for devices without a screen, like the Google Home or AirPods.
Voice marketing is serving users or customers through the channel of voice by making information, products, services, and entertainment accessible to the voice channel. As an example, you can optimize your website for Voice Search and develop Google Actions.
In order to make your business more discoverable on Google Assistant, you can do three things: First, create a Google My Business page. Then, make your website more findable by Voice Search and develop a Google Action. Lastly, you can, for instance, promote your company’s products or services in an Action.