AI in Various Industries – What Roll Does It Play?

Artificial intelligence (AI) plays a role in the most varied areas of our lives. Among those are also different branches of industry, where it is used daily with increasing frequency. Which of these sectors are important, and what additional value can AI offer you if you conduct business in the corresponding fields?

Thinking of starting your own business? – Yes, with the help of AI!

Many people dream of being their own boss. But just as many are afraid of putting this plan into practice. It goes without saying that the leap into self-employment brings its own set of hurdles. However, in many cases these concerns are unfounded, because you can take advantage of support in many forms nowadays. These include, for example, funding or online platforms that simplify customer acquisition, to name just two of many options. Artificial Intelligence, or AI for short, also plays an increasingly important role.

Development (history) and applications of speech recognition systems

Walking into many houses around the world, you’re likely to find one or perhaps more ubiquitous little speakers, scattered around. For the residents of these homes, these devices have become a key part of their lives, sharing details about meetings, travel plans, grocery lists and even weather reports. We’ve come to depend on them to help simplify our lives and entertain us.

Crowdsourced voice recordings and their relevance for the development of speech recognition systems

Crowdsourced voice recordings have evolved to play a critical role in the development of speech-controlled apps. As speech recognition rapidly grows from a novelty to a daily necessity, you can expect the demand for both voice recordings and voice-activated systems to rise concurrently.

According to Grand View Research, the demand for voice-activated systems and devices is expected to be worth approximately $32 billion by 2025. But what exactly are voice recordings used for? Why are crowdsourced voice recordings important?

Today, thanks to technological advances, many disadvantaged and disabled individuals are able to use technology to make their lives easier and more livable. One promising area is speech recognition. This technology is at the heart of personal voice assistants like Siri, Amazon Echo, and Google, that we’ve become accustomed to using either on our smartphones or through a smart speaker in our home.

The Role of Voice Biometrics in Enterprise Security Systems

Artificial Intelligence (AI) has been around for decades. However, we didn’t reap its true benefits until recently. With chatbots, voice bots, and more, AI is now a force to be reckoned with.

When we think of AI-based voice systems, we think of voice-based assistants Alexa and Siri. These voice assistants engage in Internet searches, switch lights on and off, play music at our homes and just make life a little easier. However, speech recognition isn’t the same as voice biometrics.

Speech recognition in our everyday life

Over the course of the past decade, the world has gone through a radical transformation. Technologies that were once something popularized by science fiction have now become a facet of our daily life. One technology that has now become so commonplace, most don’t even give it a second thought is speech recognition.

Nowadays, AI powered voice assistants like Alexa, Siri and Google are scattered throughout our homes and smartphones – but it wasn’t always this way. For quite a long period of time, voice control was very hit and miss.

From Candidate Experience to AI: The recruiting process is changing

Having an interview with artificial intelligence instead of a human being. This scenario may appear inconceivable to you at the moment. But it could soon be reality, because the first test runs with AI in the application process are already taking place in Germany – and the trend is rising. At this stage we cannot say with certainty what recruiting will look like in the future. But one thing seems clear, it will change fundamentally in the coming years. This is why it is worth taking a look at which trends can already be identified and which trends are more than likely to come…

Leveraging Big Data: Important Data AI Researcher Should Track

Big Data appeared before everyone even realized its existence, and so far, it is the core element of modern technologies. This article will explain the intersection where big data meets AI as well as the key elements of their inseparable connection and the prospects for the further development of AI by using big data.

AI Data Set creation, labeling and verification, and its importance for Machine Learning & Artificial Intelligence (AI)

Data scientists continue to work tirelessly to try and replicate human intelligence through the algorithms they create.
Neural networks are systems with autonomous or intelligent behavior. They are able to perform tasks and solve problems independently (so-called artificial intelligence / AI). Before that, the neural algorithms have to be trained using sample data. AI systems learn from these data and can generalize them and apply what has been learned to new tasks.
The more accurate and extensive the amount of AI training data is, the better the first results of AI systems are.