Optimize Chatbots Using the Crowd
The term chatbot is probably familiar only to a few people, but it is likely that everyone has come into contact with one at some point. For example when you ask your smartphone a question via voice input, or when you contact a service provider’s customer support. Virtual assistants like Alexa, Google Assistant or Cortana are based on chatbots – programs that enable simple and intelligent communication between people and computer-based systems.
Read moreA Snapshot of AI, Machine Learning, and Deep Learning
Real-world examples, prominent use cases, and AI’s (artificial intelligence) potential
The industrialized world is full of machines that outdo humans in strength and speed. Cranes lift steel beams to towering heights, car engines send passengers flying down the road at impossible speeds, and tree shredders pulverize entire pine trunks in a snap. Such inventions replicate and vastly outperform humans at tasks requiring physical exertion. They possess “artificial brawn”.
What then is artificial intelligence?
At a first pass, we can think of AI as a machine (i.e., a computer) replicating human cognitive tasks. A calculator, for example, embodies basic AI to do a job for which humans must use their brains: math.
Read moreCrowdsourcing from its beginnings to the present
Crowdsourcing has its origins in the early 21st century. Wrong! You don’t believe it? We did some research regarding the beginnings of crowdsourcing and came across some fascinating information, which we want to share with you.
Read moreThe new API Explorer
For the past eight years we have provided our customers with a service option that enables them to integrate our services via an API into their IT infrastructure and company workflows. Our customers can use the API for example to place new orders, or submit order data and get the results directly back into their system. This service is popular and is being increasingly used. We have now further optimized the API for our customers.
Define Your Own Crowd with the Building of Teams
In our marketplace you can build any number of Clickworker teams for yourself, which can then either be chosen or excluded during the job creation process.
Usage of Expert Teams
Logically a team of Clickworkers can be put together whose previous work you have been especially pleased with. This allows you to direct the work upcoming jobs specifically to the Clickworkers on your expert team. In this way you can better guide the results and help align them with your expectations.
Usage of Blocklists
On the other hand a team of Clickworkers can be assembled that you wish to exclude from future tasks, and thereby define as a blocklist. This is especially useful when you personally weren’t as pleased with the results, for example their text style, produced by these Clickworkers. But it also makes sense to create a blocklist of Clickworkers for subsequent jobs like online surveys, to prevent the same workers from taking part in the survey again.
In the following, we explain step by step to you how the building of teams works.
Artificial Intelligence – Algorithms on the Rise
Well-known innovations concerning computers and the internet have captured the market, define everyday life and delight users. With artificial intelligence ambitious researchers want to add a new dimension to technical development. Crowdsourcing helps computer systems with self-regulated machine learning.
Watson is an intelligent, semantic computer program, which as a complicated question answering system, can process natural speech. To the question from Todd Spaletto, president of a well-known manufacturer of mountaineering gear, about what the most practical clothing for mountain hiking in rainy pre-summer weather would be, the computer answers: “There is just a three percent chance that it will rain,” and recommends that the outdoor specialist wear a “breathable fleece jacket” of a durable make.
Optimization of speech recognition systems
An increasing number of intelligent system ranging from smartphones, info entertainment systems for vehicles, tablet and smartphone applications, to household devices and building services technology, are controlled via voice input.
However, many of the voice control systems are very error-prone. The human factor has often been disregarded during programming. Human beings do not always apply the same logic; they express themselves differently according to their language skills, nationality, social environment and educational background. As soon as the command entered does not comply with the envisaged and programmed command of the system due to the selection of words, sequence of words or pronunciation, the user is not understood and the command is not carried out. Break-offs and renewed speech input are time-consuming for the user and in some situations distracting and dangerous, for example while driving.
Crowdsourcing in tourism
As a whole, the United States, China and Germany are the major travel nations. But many other countries have followed suit with regard to tourism. Worldwide, spending for travel services has been on the increase for years. The tourism industry is obviously delighted! However, the pleasure is even greater when the use of crowdsourcing provides the tourism industry with effective support to handle increased and new challenges. We want to present a few practical project examples.
