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# Category: Business
07.12.2022.

Natural Language Processing (NLP) Use Cases

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.
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11.11.2022.

7 Artificial Intelligence and Machine Learning Trends

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.
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10.12.2021.

AI in Finance – Use Cases and Challenges

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.
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30.09.2021.

Machine Learning meets GDPR

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.
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23.07.2021.

3 Things to Consider Before Implementing Machine Learning

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.
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01.09.2020.

The Disruptive Technology of AI in Retail [WEBINAR]

Artificial Intelligence can help retail companies stay on top of the industry. This is what we discussed in our 30-minute webinar that you can find here.
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10.07.2020.

Tire Recognition meets Machine learning v.2: Step by step approach – Frank’s case [PART 2]

While in first part about Frank’s case we explained what the problem was, modus operandi and taken steps, here we are going to describe approach conducted and what was the final output and business benefits.
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10.07.2020.

Tire recognition meets Machine Learning v.1: Things to consider and modus operandi

Frank’s tire catalogue included 80 tire manufacturers and over 20 000 unique tire models, with 5digit number of tires moving daily. Aside from the risk of human error during sorting upon arrival, there was a risk of human error when sorting prior to shipping out.
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18.06.2020.

Without a DevOps and Machine Learning, you will fall behind in Industry 4.0

It’s very important for revenue growth to use these technologies, especially because the global business environment is going to be uncertain for a while because of COVID-19. We do not know what consumer spending will look like or how it will bounce back in every industry. You need to maximize the advantages that you have.
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