Nenad Božić

Functional testing series In my previous post on the topic of functional testing, Blackbox Testing Microservices, I gave an explanation how we created a separate application which uses REST client to communicate with the main application, thus giving it a kind of input and waiting for a response to verify it. This post will be built […]

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.

Years ago it was enough to know one programming language and one storage engine in order to build a system, but nowadays you need to be a polyglot in every aspect. That’s why you need to be familiar with the cost of each choice and to introduce a new technology only when the benefits from it are much higher than the complexity it brings to the table.

To compete in today’s IT market, you must be truly agile, you must listen to your customers, and deliver features promptly.

This tuning guide underscores understanding your unique use case. No one-size-fits-all solution exists for optimizing the DataStax Java driver with Apache Cassandra. Remember: grasp your use case before adjusting the driver and Cassandra settings.

Data analytics is changing our world in unprecedented ways, driving new products, business models, and breakthroughs in every industry. Machine learning helps companies act strategically on the data they have, homing in on the insights with impact, and allows executives to make much better-informed decisions.

If you are aware of all the potentials of the current Big Data landscape and you want to transform your business to be smarter, but you have a hard time finding the right people for this organizational change, we can help you.

If your company is starting with AI or planning to hire an external consulting company such as ours, this information is a valuable resource that helps to evaluate your level of readiness for this kind of project.

Just a couple of years ago, the decisions faced by software architects were quite easy, such as which language to choose, in which DB to store data, what kind of frontend technology to use etc. Basically you could divide your application into a couple of building blocks, choose the best for each building block and […]