Newsroom, Press media corner and Blog

According to Gallup, 52% of employees who voluntarily quit their jobs said employers could have kept them somehow.  This statistic is interesting because, even though the costs of replacing the high-skilled workers can go up to 25k in lost productivity, many organizations worldwide still struggle to recognize this.  Employees believe they could have bigger paychecks […]

On Monday (November 6, 2023) OpenAI’s first developer conference was held in San Francisco. This conference will be remembered since it is going to reshape the Generative AI (GenAI) landscape forever. A lot of astonishing announcements have been made so here is a summary of the most important revelations.

PropTech has seen many innovations in the past decade, especially with the rise of data collection methods and algorithms to analyze them and make smarter decisions. It has disrupted the whole real estate industry – from construction machinery to property management and finances. However, the hottest area for PropTech is the sector of smart buildings. […]

The entire business world expects significant changes now that we are on the brink of implementing 5G, the fifth generation of wireless technology, globally. From faster speeds and greater capacity for transmitting data, to lower latency and improved connectivity.  We could also expect new business models and services to arise. Yet, we could also expect […]

In the fast-paced world of retail, convenience stores face many daily challenges: managing inventory, staying competitive, meeting customer demands, and adapting to changing market trends. In this article, we’ll explore the benefits (and challenges) of a data-driven approach to retail and use cases.

Before your organization adopts AI, it needs a data strategy. Yet, only 32% of companies have it, which is concerning. Download our whitepaper to find out more about AIDA from a technical perspective or schedule a demo with our business analyst. At the very least, you’d get a feeling there are simple solutions to seemingly complex problems.

Before forming SmartCat, my partners and I had vast experience working with (and for) traditional web development companies. When it came time to start our own thing, we tried to apply the same processes and steps to build a data science team. It was quickly obvious that this would be a long learning process, and we needed to adjust our way of thinking if we hoped to bring AI projects successfully into production.

Hyper-personalization is a process of using data analytics and collection tools, and Artificial Intelligence/Machine Learning algorithms to process that data and automate experience creation, tailored to customers’ needs, in real-time.

MarTech isn’t going anywhere. Our mindset is shifting. We should start thinking about technology as a tool, not as an end-goal. In our vast industry experience, companies tend to integrate technology, and then base their strategies around them, when it should be vice-versa – create a strategy and then pick tools that help you achieve your business objectives.