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Six tactics to leverage the full potential of SAP SuccessFactors

Get the most out of a SAP SuccessFactors implementation or any other HR transformation project.

What are the challenges of scaling engineering teams after a funding round?

‍No matter how hard you try to keep your startup mojo, you will inevitably have to impose some structure on your engineering teams (on other teams, too), or things will break.

Is Gaia-X a solid alternative to other cloud platforms?

Politicians, CISO's, and other IT pundits see the European cloud as a valid alternative to cloud platforms from the USA or China. But is it?

Going multicloud? These are the 6 biggest challenges

Increasingly, companies rely on more than just one cloud platform. But the challenges with a multicloud approach are not to be ignored.

Spending for cloud services has skyrocketed in 2020

In 2020, the spend on cloud services skyrocketed, and all of the hyperscalers reported massive growth.

Demand for drone-powered services is growing

Drones are sophisticated devices equipped with sensors suitable to collect numerous data and companies start to see the value.

Is blockchain suitable for storing our digital identity?

Is blockchain the right technology to store our identities? Several companies are working on this use case

Predictive analytics: the crystal ball of Big Data

Predictive analytics is one of the most important big data concepts. But what is predictive analytics? How does it fit with the other data analytics concepts? And how can companies use these concepts.

Big Data and the aviation industry - in search for new revenue

The aviation industry, especially airlines, is in desperate need to find new revenue streams. Big Data and predictive analytics might be the answer.

How to recruit a winning data science team?

To keep up with the pace of the market, your company needs to start making data-driven decisions. And for that, it needs people with extraordinary data science skills.

The 5 steps of managing a data science project

The concepts used in data science can be complex and overwhelming, but the process of managing the project is quite straightforward. To get you started, here are some fundamental ideas.

Six types of problems machine learning can solve

Building products is about solving customers’ problems. As a Product Manager – before diving into development – first, you should focus on framing the problem. The more precise the better.

How to verify if a company is using real AI technology in its product?

Labeling software products as AI-capable is a common practice among companies, specifically those seeking funding. Here is a list of four ingredients you should firstly look at before investing.

Starting a digital lab? Keep these four points in mind

Digital labs are an elementary component of many organizations' strategies. Often seen as a failure of the existing corporate structures, they became core to digital transformattion