HubSpot is an American software development company. It has 8,000 employees and branches in several countries around the world. Processes related to lead generation and qualification were time-consuming and not always efficient, reducing sales productivity.
AI in Practice: DHL Has Accelerated the Delivery of Parcels
DHL is one of the largest logistics companies in the world. It provides transportation and delivery of parcels in many countries. However, route planning, warehouse management and demand forecasting were difficult and often inefficient.
Microsoft, a global tech giant, faced challenges with its complex financial processes, which involved extensive financial planning and analysis (FP&A). Traditional methods were time-consuming and sometimes inaccurate, leading to delayed decisions and potential financial risks.
Unilever is an international company with more than 155,000 employees. Company faced a time-consuming process of recruiting talent. The recruitment process involved manually sifting through thousands of resumes and many hours spent on interviews, which was inefficient and costly.
The two most popular AI image generation platforms. We gave both platforms the same prompt and compared the outputs. What are the most important differences?
Interview with visionary and YouTuber Ondřej Bačina about artificial intelligence, Tesla and content delivery.
Machine learning (ML) and Artificial intelligence (AI) are related fields, but they are not the same thing. AI is a broader field that encompasses many different technologies, including machine learning. Check with us the key differences between machine learning and artificial intelligence.
Machine Learning allows companies to be efficient, search for patterns in data, automate and make decisions with minimal human intervention. Learned algorithms solve defined tasks in real time and based on input data. At the same time, they learn from the new data and adapt to changing conditions.
