A closer look at analytics that matter You’ve trained your AI agent. It runs. It talks. It reacts. But does it actually work? That’s the part where most teams freeze. They launch these sleek autonomous systems, agents meant to handle …
I didn’t want to start this post by quoting the percentage of data science projects failing to deliver commercial value or business utilization. Many data science projects fail – and that’s a fact. What’s important is to make sure that …
This confirms Things Solver’s strategy to continuously enhance its solutions and offer the most advanced products and services to customers Joining forces with the established IT partner ASEE, together we will accelerate the development of existing and new products based …
Over the last few decades, recommender systems have gained prominence with the emergence of platforms like YouTube, Amazon, and Netflix. These algorithms play a pivotal role in suggesting relevant content for online users – from e-commerce product recommendations to personalized …
In the previous text, we talked about the basics of streaming, what it means in theory, what are the advantages, disadvantages and mentioned some streaming tools. This text is more technical, and we will talk about Flink in general as …
Needs in the IT sector are constantly changing. After Coronavirus hit us unexpectedly, this is true, more than ever. In order to keep distance from each other, we were forced to limit all our activities that can’t be done online. …
Data streaming has become very popular in the big data industry. It is used for processing large amounts of data from different sources which are continuously generated, in real-time. When we say “real-time” we need to understand that it can …