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.

Artificial intelligence – cooperation between man and machine

Technological change comes hand in hand with fears. Many people associate artificial intelligence with the dominance of machines over mankind and the topic of AI as a job killer is well suited for any discussion. But, above all, the cooperation between human beings and intelligent machines offers opportunities.

The Benefits and Risks of Artificial Intelligence

Artificial Intelligence or AI is rapidly gaining momentum around the world. While AI is often portrayed in film and television as a precursor to the end of the world, in reality, it is quite a bit more benign. AI, as we know it currently, is relatively innocuous.

Known as narrow or weak AI, it is only able to perform relatively simple tasks. Things like responding to your search requests on Google or facial recognition on the photos on Facebook are areas where weak AI can excel. A great example of a weak AI that we are all familiar with is the digital assistants we use in our daily lives.

Millions utilize Alexa, Siri, and Google’s digital assistant on smartphones and smart speakers worldwide for information and assistance. However, the goal is to eventually create general AI (also known as strong AI) that is capable of acting more autonomously.

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.

Artificial intelligence in medicine

Big Data as the basis for reliable diagnoses, machine learning to select the best treatment, AI systems for accelerated drug development – The importance of artificial intelligence is also growing in the field of medicine. What is the potential of self-learning algorithms in the healthcare sector?

Does Artificial Intelligence Optimize Human Beings?

The concept of the perfect human is as old as humanity itself. But self-learning algorithms are bringing the realization of this idea a little closer now, just as they entail the fear of the omnipotence of machines. Does artificial intelligence make us smarter, better looking, healthier and happier? Four questions and four answers.

Does Artificial Intelligence benefit the Common Good?

The invention of the steam engine triggered revolutionary societal changes. Machines replaced physical work. They produced goods cheaper, faster and more effectively. In the end everyone profited from that through more prosperity. A similar development is becoming apparent today: in many areas artificial intelligence is replacing processes which require human thinking. Will we also all benefit from this?