The rise and impact of adversarial machine learning

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?

feature store

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

synthetic data

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

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?

data fabric

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

data security

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

data engineer data detective

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 […]

Data ethics and why it’s important for brand trustworthiness

data ethics

There isn’t a blog post nowadays without someone saying this: “All companies are data companies.” And it’s absolutely true. Data has become the pillar of business society and something people trade with. Information in the digital age has become somewhat of a gold mine. But, with each piece of information comes the hot topic of […]

Conversational analytics and everything you need to know about it

conversational analytics

With how the trends have been behaving lately, a lot of the spotlight was directed toward artificial intelligence and its capability to converse with humans. From AI-based chatbots and AI content generators to others, we have seen technology use available data to interact with others. But, it’s one thing to use data available through databases […]

Data observability in a nutshell

data observability

There is a lot of talk about broad aspects of data science and data engineering, but few mention the importance of quality data and the processes behind it. Data observability is a term that handles data behind the scenes. From infrastructure to data movement, it’s integral to provide an unobstructed flow of information.  Data observability […]