Artificially intelligent machines are becoming smarter in every day. Deep learning and machine learning techniques enable machines to perform many tasks at the human level. In some cases, they even surpass human abilities. Machine intelligence can analyze big data faster and more accurately than a human possibly can. Even though they cannot think yet, they see, sometimes better than humans (read our computer vision and machine vision articles), they can speak, and they are also good listeners. Known as “automatic speech recognition” (ASR), “computer speech recognition”, or just “speech to text” (STT) enables computers to understand spoken human language.
Data collection is an important aspect of developing artificial intelligence related products. In this article, we provide a simple guideline for deciding on what data collection method to use and how to decide on that method. Then, we showcase some methods to collect data, such as text analytics, mobile analytics and image analytics. Those methods are becoming more popular and becoming real-life applied methods rather than theoretical frameworks.
Surveying studies the sampling of individual units from a population. It aims to make statistical inferences about the population.
Content is insights! Expressed in myriad forms and styles, it is information that makes readers feel, think and change their lives. We’ll dive into the world of automatic content creation but before that let’s cover a bit of the terminology.
If you google for content, you mainly encounter with the phrase content marketing.
What is content marketing
Content marketing is one of the most effective strategies for inbound and digital marketing. Content raises awareness of your brand, builds trust with your audience and turns them into customers who may become evangelists. Content marketing is mostly related to social media platform such as Twitter, Facebook, Pinterest since they are great publishing platform to reach out millions of people.
Movies have been feeding us physical robots for a long time. However the first AI bots that we will work with are software bots. This shouldn’t be surprising as hardware is hard while software is eating the world.
As you can see in the graph above, interest in RPA has grown ~10x in the past 1.5 years. This is no surprise since Fortune 500 CEOs can not stop talking about it. As John Cryan, CEO of Deutsche Bank said in September 2017:
In our banks we have people behaving like robots doing mechanical things, tomorrow we’re going to have robots behaving like people
Several years ago, I waited 45 minutes in the queue just to buy a simple beverage and I thought whether we really need cashiers in retailers, or not. I knew the answer was no. In my opinion, it was possible to walk in, grab whatever you like and leave with a self-checkout system. However, because of the lack of technical knowledge, I could not come up with a brilliant idea. The only idea came to my mind was RFID (Radio-frequency identification) tags. The idea was simple; tag every product with RFID tags (like we see on books or DVDs) that will enable customers to scan each product with their smartphone –Near Field Communication (NFC) technology is standard for most of the smartphones today- and add the products to their cart and pay online.