The concept of machine learning is derived from advanced data analysis of pattern and dependency recognition. ML assumes that when models analyze new data, they can adapt independently and use this new knowledge to develop by learning from previous experiences. Machine learning models can enhance nearly every aspect of a business, from marketing and sales to maintenance.
Interview with Michał Iwanowski, VP of Engineering, about AI development in 2021.
According to research done by Business Insider Intelligence, banks can benefit by $447 billion by 2023 applying Artificial Intelligence. No wonder artificial intelligence is playing an increasingly important role in financial institutions’ roadmap for the coming years – 75% of banks with over $100 billion in assets already have AI strategies in place.
Cost of risk is one of the biggest components in banks’ cost structure. Thus, even a slight improvement in credit risk modelling can translate in huge savings. That’s why Machine Learning is often implemented in this area.
AI has become a powerful force in Computer Vision and it has unleashed tangible business opportunities for 2D visual data such as images and videos. Applying AI can bring tremendous results in a number of fields. To learn more about this exciting area, read our overview of 2D computer vision algorithms and applications.
Modern science is facing a completely new challenge: overload. According to research from the University of Ottawa, the total number of research papers published since 1665 passed the 50 million mark in 2009 and approximately 2.5 million new papers are published every year.
Throughout history, tackling pandemics has always been about using the latest knowledge and approaches. Today, with AI-powered solutions, healthcare has new tools to tackle present and future challenges, and the COVID-19 pandemic will prove to be a catalyst of change.
A trigger-based alert in infrastructure management is currently insufficient to keep operations smooth and uninterrupted. AI-powered IT operations deliver smart alerts that not only improve a team’s ability to respond swiftly but can also deliver significant automation.
Network Traffic Analysis (NTA) is a key component of modern cybersecurity in companies. With machine learning and artificial intelligence solutions, the sheer amounts of data to analyze is an asset to be used rather than, as was once the case, a challenge to overcome.
While making predictions may be easy, delivering accurate ones is an altogether different story. That’s why in this column we won’t just be looking at the most important trends of 2020, but we’ll also look at how the ideas we highlighted last year have developed.