All Case Studies Design Development Interviews Our Way Project Management
The age of generic services is dropping off. Today's customers expect more, and they want you to produce software tailored to their needs. This can be done with machine learning.
Read more

7 Challenges for Machine Learning Projects

Although scientists, engineers, and business mavens agree we might have finally entered the golden age of artificial intelligence when planning a machine learning project you have to be ready to face much more obstacles than you think.
Read more
It’s 2018, and we’ve gained a level of advancement in machine learning technology that no one expected this soon. Images made using algorithms don’t look artificial, retailers’ smart recommendations raise sales, and the stock market has forever been changed by predictions based on machine learning. It’s a revolution happening right before our eyes, and those late to the party might find themselves at a huge disadvantage as their business competitors leverage ML and leave everyone else in the dust.
Read more
If you’ve been following the latest trends in technology, you’ve probably noticed that machine learning (ML) and deep learning (DL) are not just buzzwords anymore (see what is the difference between ML and DL). In fact, they’re responsible for some of the most impressive achievements in artificial intelligence so far, like the spotting of a distant eight-planet solar system or beating real humans at master-level chess. But are you also familiar with the concept of convolutional neural networks (CNNs or ConvNets), and how they contribute to AI development (see how does AI differ from ML)?
Read more

Top 3 Machine Learning Trends in 2018

Machine Learning has been growing at an incredible pace in 2017. We’ve witnessed many breakthroughs such as AlphaGo beating the best world’s Go players, the comeback of evolution algorithms meta learning, or WaveNet generating speech that mimics any human voice. Deep Learning research has been skyrocketing since 2012, and it’s not going to stop. Carlos Perez - Co-Founder of Intuition Machine - predicts that the number of research papers related to Deep Learning will triple or even quadruple in 2018!
Read more

Machine Learning vs. Deep Learning Explained

Machine Learning (ML) and Deep Learning (DL) are two data science terms that have become hot buzzwords in tech, business, and marketing. In fact, ML and DL are two different terms often confused for the same thing. Here’s the difference: Deep Learning is a part of Machine Learning, an advanced technique of teaching algorithms to take independent decisions, which is a part of a broader field of Artificial Intelligence.
Read more
The power and potential of machine learning (ML) to bring huge benefits and new capabilities to mobile and web applications is remarkable. Today, more and more businesses and app developers are opting to build machine learning into their products to the extent that this once avant-garde technology is now becoming decidedly mainstream.
Read more
Machine learning is one of the strongest trends in today's tech scene. A recent survey revealed that 61% of organizations picked machine learning as their most critical data initiative for 2018.
Read more
AI and machine learning have moved from the fringes to the very centre of the technology debate. But which industry has the huge datasets, along with the capital and staffing resources, to make the most of AI? As recently reported by both PwC and Gartner, it is the financial sector.
Read more
Both artificial intelligence and machine learning are hot buzzwords right now. It's not surprising at all, since that’s exactly what modern technologies, such as: virtual agents, decision management, and even content creation, are starting to rely on.
Read more
Newer
Need a successful project?
Estimate project or contact us