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Alex Shatalov

Data Scientist & ML Engineer

Alex is a Data Scientist & ML Engineer with an NLP specialization. He is passionate about AI-related technologies, fond of science, and participated in many international scientific conferences.

Articles by Alex Shatalov

17 April 2024

AI Chatbot Security 101: Building Trust in Digital Dialogue

Chatbots are rising! By 2027, one out of four businesses will employ them as a primary tool for customer service. It is easy to see why. Chatbots are always on the alert, able to manage multiple tasks at once. They are also efficient and friendly thanks to the latest innovations in generative AI. But a crucial question arises: how secure...

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12 April 2024

Generative AI in Retail: Use Cases with Examples

Retail is one of the core industries in the world. It provides people with groceries, clothing, and other goods. As with any other industry, it is subject to changes due to technological advancements and global market shifts.  According to the NVIDIA survey, 98% of retailers are planning to invest in generative AI models over the next  18 months. And no...

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26 March 2024

Benefits of MLOps: Realizing the Advantages of Automated ML Operations

If you want your business to become data-driven, then most likely you will start with AI and ML development services. Thankfully, there is a way to build your own ML model without unnecessary hurdles and overwhelming costs. Today, we want to discuss machine learning operations and how they can be beneficial for you. What Is MLOps? Machine learning operations (MLOps)...

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22 March 2024

Exploring MLOps Use Cases: 8 Real-World Examples and Applications

While creating your machine learning model you might notice that the process is very complicated. Terabytes upon terabytes of convoluted data, constant maintenance, random bugs – the list goes on. But it doesn’t have to be this hard. In recent years, the ML industry developed a set of principles that make the development process much easier and faster.  By combining...

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21 March 2024

The Main MLOps Challenges and Their Solutions

When looking into ways to develop a machine learning model, you might encounter articles promoting machine learning operations (MLOps). And while it’s true that adopting it into your workflow will be beneficial, materials on the internet rarely cover possible issues you might face on your way to success. Today, we will talk about MLOps challenges you might encounter and, of...

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