Webinar Reliable Data Products
Webinar Reliable Data Products Read More »
Introduction Are you eager to find out how you can implement data products with a ‘Digital Highway’ approach powered by quality assurance and pipelining best practices? Do you want to know how to do this technically? In this hands-on guide, we demonstrate how to structure a GitLab CI pipeline to implement data as a product
Tech Guide: Data Contracts & Data Tests for Your Data Product Digital Highway Read More »
The term data mesh was coined by Zhamak Dehghani in 2019 and is based on four fundamental principles that bundle well-known concepts. But before we dive deeper into the four main concepts, let us take a closer look at the general definition of a data mesh. Data mesh is a sociotechnical approach to building a
Introduction to Data Mesh, Data Product & the Digital Highway Approach Read More »
The Swiss Digital Network (SDN), Switzerland’s first independent and open consulting network, is elated to welcome two new innovative cells in Basel and in Bern. Machine Learning Architects Basel and PhiloSolvis contribute innovative, highly effective and supplemental expertise and value propositions to the network. The new additions set the total of active cells at three,
Machine Learning Architects Basel and PhiloSolvis join the Swiss Digital Network Read More »
Great SREs are not hired, they are trained! We are bringing you effective 5-day bootcamps for individuals and customizable enterprise trainings for teams, developed by industry practitioners of the Swiss market leader for Site Reliability Engineering (SRE). These bootcamps will enable you for DevOps and MLOps in enterprise environments. Machine Learning Architects Basel (MLAB) is
Launch of first Effective SRE Trainings by Engineers for Engineers in Switzerland Read More »
Machine Learning Architects Basel (MLAB) launches an innovative Data Science for Life Sciences (DSfLS) training to help your pharma, biotech and healthcare teams and organizations unlock their Data Science potential. At MLAB, we believe that Data Science is inherently multi-disciplinary, and everyone can and should be a “Citizen Data Scientist”.We conceptualized this training with a
Launch of Data Science for Life Sciences Training Read More »
It may not be the first time you hear about MLOps. This agile approach, first introduced by Google in 2015 in the famous article “Hidden Technical Debt in Machine Learning”, has since then been at the center of interest of new Machine Learning approaches. At ML Architects Basel, we conceptualized and developed a simplified and
Effective MLOps: Scope & Framework Read More »
Effective MLOps is the concept we preach at ML Architects Basel to democratize MLOps and make it accessible to non-high-tech companies and businesses. In a previous blog post we shared our scope and framework of this innovative approach. In this piece, Effective MLOps in action, we aim to demonstrate the technical implementation dimension of Effective
Effective MLOps in Action Read More »
The use of Machine Learning (ML) and its operationalization through the Machine Learning Operations (MLOps) paradigm bring a lot of benefits. Business decisions can increasingly be made based on or aided by data and automated methods, inferring information from that data. Tedious and repetitive tasks can be completed without human interaction or new business cases
Effective MLOps: Maturity Model Read More »
Healthcare & Digitalization The digitalization of the healthcare sector turned out to be a double-edged sword. On the one hand, it brought us impressive advances in medical imaging and opened the door to effective remote health monitoring. On the other hand, in some cases, instead of improving healthcare provision, digitalization has led to a significant
Machine Learning for Healthcare: Opportunities and Challenges Read More »