Follow product development and get updates about work-in-progress features on this blog archive. Here’s also the place for in-depth insights of built-in technology. As we watch the autoML and AI community very closely, we might share some information on latest developments in the regime as well. If you want to follow our work and make sure you do not miss a thing, visit us regularly! We try to push out news once a quarter at least. We’re also glad to get your feedback on blog articles, let us know via the contact form.

FLAML – “A fast library for AutoML” reaches v1.0! Should you use it?

With the recent release of version 1.0 in March 2022, FLAML, Microsoft's open source AutoML library takes a big leap towards productive usage. Fast progress on fast AutoML When FLAML started in late 2020, the first release includes hyperparameter and sample size methods. For example, developers added "cost frugal

Three reasons for user churn – and how to retain customers in 2023

Does your organization lose customers quicker than expected? This article outlines frequent reasons for user churn to get you started on minimizing customer attrition in 2023. Read to the end to learn about a modern approach for customer retention. Not the right topic? Find out about AI-based business solutions

5 benefits of On-Premise compared to cloud for data analytics

When it comes to data analytics, organizations have a choice between using cloud-based or on-premise solutions. While cloud-based solutions have gained popularity in recent years, there are still many compelling reasons to follow an on-premise approach for data analytics. In this article, we will explore some of the key

Challenges of small, medium enterprises for AI adoption

Small and medium enterprises (SMEs) face a range of challenges when it comes to adopting artificial intelligence (AI) technologies. While larger organizations have the resources and expertise to develop and implement AI solutions, SMEs often lack the same level of technical expertise, financial resources, and access to data. In

AI-based Lead Classification for improved sales success

Machine learning (ML) is a rapidly growing field that has revolutionized the way businesses operate. ML software utilizes algorithms that can learn from data, identify patterns, and make predictions or decisions without human intervention. One of the most valuable applications of ML is customer lead classification, which helps businesses

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