AI & Machine Learning

As a society, we are obsessed with the idea of humanising artificial intelligence (AI). Every day, our conversations with chatbots are becoming more natural, and consumers are increasingly expecting machines to replicate real-life human interactions. We expect the service we receive from virtual assistants on our banking apps to mimic the experience we would have

Artificial Intelligence has been highlighted in the most negative light since it was introduced as part of the workforce. Many people thought it would take their jobs and leave them without any reliable source of income.  In most cases, people forget about the benefits of AI in the workplace. AI-powered tools help in powering remote work but

NLG can help in humanizing analytics for companies that can help them to utilize every bit of data they collect.

AI is extremely powerful and it has a tremendous impact on modern businesses. But it’s not almighty.
Many people mistakenly believe that AI will completely change the way we do business. Our goal is to help you figure out the eight most common myths about AI in the workplace. Let’s take a look!

While intelligent robots are not yet capable of being intergalactic companions, they are leaps and bounds ahead of anything that was available just a few short years ago. They also offer a glimpse of the integrated human/robot society we can look forward to in the years and decades to come.

How to create AI models? What is the process? Well, as should be no surprise, it is complex and susceptible to failure. But then again, there are some key principles to keep in mind. So let’s take a look.

Businesses want to implement more robotic automation. However, it’s hard to know where to start, because planning and implementing that automation project can seem daunting. Here are the five steps to make their automation rollout smooth, cost-effective and repeatable.

Many have wondered whether hidden patterns exist in news coverage. Machine learning reveals that they not only exist, but also offer predictive insights. This is only scratching the surface of the potential for Machine Learning in PR In an industry that has its finger on the pulse of the news cycle and social media, the potential for mining data to uncover relationships and patterns is massive, and the future is exciting.

Machine learning has enormous potential, but it’s important to ensure that your organization can take advantage of it all. Implementing success metrics, and efficient model-building, your organization will soon be ML-friendly. We’ll talk about the four steps that you can follow, so that implementing ML in your enterprise will be a breeze.

What we need is not AI that learns everything from scratch, but algorithms that, like organic beings, have intrinsic capabilities that can be complemented with the learning experience.

Do you feel connected to the technology you use? Wouldn’t it be nice to know that the technology that you are using knows you exist as a real and unique person? The creation of a new unified artificial intelligence interface is becoming a winner take all proposition.