Data veracity – why should you never forget about it
Data, in itself, has many characteristics and challenges, especially in the world of big data. Those who utilize or collect data know about the hardships it brings. That’s why there are some widely known descriptions and parameters of data where certain characteristics are described for better management. One of the best examples are 5 V’s […]
Why should you focus on augmented data management
As time goes on and the volume of data rises, traditional data management processes aren’t enough. It gets more complicated and time-consuming to draw out valuable data, process it, and prepare it for other data-related tasks. But, with the development of AI, we see the possibilities of augmented data management. Traditional approaches are falling somewhat […]
How to manage the pull of data gravity
If you are an enterprise company or an entity that either generates or collects enormous amounts of data, then you must be familiar with the fact that the more data you have, the more you’ll add on. As soon as you recognize the value of data in your everyday operations, you will see that data […]
The rise and impact of adversarial machine learning
Getting into machine learning is all fine and well. And, yes, it’s something that has revolutionized businesses and started so many opportunities for better products and services. But, like with everything that brings good, there are threats to it. And in comes adversarial machine learning (AML), as a threat to machine learning and its outcomes. […]
Feature store in machine learning – why you need it?
With the way machine learning unfolds, data used in testing and modeling must come at the best quality relevant to the learning process. From data cleaning to data labeling, the process can be tasking. It’s not only about creating a simple data pipeline, machine learning and data processing extend beyond that. Machine learning often isn’t a […]
Synthetic data generation and why is it becoming popular
No one can stress enough how data is one of the most valuable resources these days, not only in business but in our daily lives as well. But like the real world, data also isn’t perfect. It’s hard and costly to collect data, and it comes with its own set of shortcomings, not to mention […]
How to successfully build data and AI teams
A lot of companies are becoming data-driven. Which is a fabulous thing since the world we live in is primarily revolving around data. Markets, businesses, and consumers, all drive decisions and actions based on information. But, purely recognizing the need for data is not enough. Becoming data-driven means either building your own data and AI […]
When is data fabric great for your business?
In a previous post, we had an introduction to the data fabric concept and architecture. Renato covered the topic perfectly and outlined the benefits and why should you embrace implementing it into your business. It might seem like a new buzzword, but in earnest, it shifts the trends in data analytics and data management. But, […]
How to tackle data security and concerns
In these days of massive data amounts, AI, the development of online media, and such, data privacy and personal data have become an all-time concern. Alongside people that try to test the boundaries of data security and put such information at harm, even data systems and infrastructure can show weaknesses in their defenses. But what […]
Get to know our data detectives – Wilim
Come and meet Wilim, our data detective and data engineer. With a name so unique, you can bet his data skills are also unique. Dive deep into what he loves about his works, what motivates him, and why he believes data engineering brings so much fun and creativity. Tell us who you are and what […]