In 2022, businesses and other organizations face any number of operational challenges. From choosing the right type of business contract to implementing more effective remote working protocols, there’s a lot to think about. But perhaps the most … Read more
DataOps
How to Manage Multisystem Interaction Consistency with AWS Step Functions
Logistics is one of the most advanced areas in ICT and related technologies today. All recent issues arising - microservices, coexistence with legacy systems, process streamlining, big data cleansing, data streaming - are currently dealt with using … Read more
Database as a Service: The Case for PostgreSQL on Kubernetes
Why Kubernetes? Kubernetes is an orchestration tool that runs containerized workloads in the Cloud. It is a great choice when working towards a manageable and cost-effective digital and data transformation: Kubernetes offers a well-structured … Read more
Bring More AI/ML Projects to Production by Increasing Access to Primary Data
Building a machine learning model is simple: you collect data, split them into datasets, feed the model with data from an open-source framework, refine the model, retest it, and hey presto!, magic in the making - right? Well, if that’s your … Read more
Clean Water and Sanitation: Data Analysis to Spread Awareness about the Most Precious Resources for Life
Over the past 50 years, our Planet has been seriously injured by the human race. A prodigious environment moved by forces that are in part still a mystery to us is changing as a result. Some would argue that it's fighting against a threat to its own … Read more
Cyber and Data AI
Artificial Intelligence is a very powerful tool that can be used to boost your capabilities and your business. It can be used to optimize existing patterns in data and processes, or to relentlessly explore proactive approaches to finding solutions … Read more
How to Implement Data Version Control and Improve Machine Learning Outcomes
It may surprise you to hear this, but machine learning is in something of a crisis. In recent years, machine learning researchers have found it increasingly difficult to reproduce the findings made by algorithms. A key problem that has been … Read more