Natural Language Processing (NLP) is a type of AI that focuses on recognizing, comprehending, and using human languages. It is one of the most intriguing disciplines in AI, having already led to the emergence of technology such as chatbots, voice assistants, translators, and a plethora of other tools we use daily. Every second, channels such as social media, in-app communications, and forums generate a tremendous volume of text data. And, due to the massive amounts of text data and the extremely unstructured source of data, we can no longer utilize the traditional technique to understanding the text, which is where NLP comes in.
Artificial intelligence and machine learning have become very popular. This technology provides companies with insight into trends in customer behavior and company business patterns, as well as assistance in developing new products.
Some of the largest companies, such as Google and Facebook, use machine learning in the basics of their operations.
The COVID-19 pandemic has prompted new applications and technological improvements in the industry. It has accelerated AI adoption in fields such as healthcare, where AI-based technology and applications are widely used.
Detecting the human face is a difficult problem that is faced by experts in the computer vision field. The main reason is because the human face is a dynamic object in which there is a high degree of variability as every face is different.
In his presentation named „Machine learning in the Python world”, Boško will talk about his experience working in the field of machine learning and will mainly discuss Facial expression recognition, eye tracking and other machine learning applications. He will also go over the fundamental steps in programming machine learning in Python and the different field of machine learning.
BFSI is one of the industries where AI/ML is causing significant upheavals in 2021 and beyond. Despite the pandemic, interest in AI and ML implementation has been resilient. According to a survey conducted by the Bank of England, around 40% of respondents said that the relevance of machine learning for future operations has increased, with 10% of institutions on a significant rise. The relevance of machine learning has not decreased at any of the banks. The financial sector is heavily utilizing artificial intelligence and machine learning to automate and simplify processes.
Machine Learning algorithms are based on large amounts of data that need to be processed for the algorithm to learn. GDPR requires companies to comply with regulations that will secure consumer data. But questions have been raised about how this regulation will address automation in analytics as the AI and machine learning market grows. GDPR outlines six data protection principles, and according to Norwegian Data Protection Authority, AI is facing four of them.
There are many reasons why companies integrate Machine Learning into their fundamental activities. But before you decide to transform your business with Machine Learning, you should take a couple of things into consideration to check whether your company is ready for new technology adoption.