Insights

As we shift to Industry 4.0, organizations of all sizes are making use of technologies such as cloud computing and analytics, AI, ML and IoT to modernize their production processes.

Companies that base their business on data generate more revenue than those that rely on intuition or other approaches in their decision-making.

I’m here with Rahim Hajee, Chief Technology Strategy Officer at Adastra to discuss the emerging concept of Customer 720, and how it can be beneficial for organizations to get a more complete picture of their customers and therefore provide them with a higher degree of personalized services.

Lambda is a serverless computer service, used within AWS to orchestrate pipelines and workflows. It can be triggered to run by set events from over 200 other AWS Services.

Katya Dunets, the Data Science Practice Lead at Adastra uncovers insights from big, structured, and unstructured data as well as perform advanced and predictive analytics to help organizations derive value.

Adastra’s survey reveals key planning challenges—manual processes, data prep delays, and Excel’s limitations.

More than 40,000 visitors met at the AWS Summit Berlin to exchange about current developments in the areas of AI and digitization.

Machine learning (ML) models understand your data on a much deeper level and provide dynamic solutions that contribute to a better business transparency.

Previously with Rahim, we had focused on helping organizations get more value out of their customer journey and how it relates to the enterprise data model. Today’s conversation will focus on Data Mesh and Data Fabric.

Today, the use of at least one public Cloud platform is a standard. The nature of this usage is increasingly expanding to the implementation of complex, microservices-based applications for Advanced Analytics and Machine Learning.

From 17th to 18th February, our experts from Adastra participated in Big Data Minds Europe both onsite in Berlin and via the virtual event platform.

It is well documented that organizations are generating more data than ever before. Increasingly, the data that is gaining in both volume and veracity is described as unstructured.

It is increasingly necessary for companies to have the same data in various systems. In this context, data virtualization has become rather a hot topic.

Increase your productivity with these five tools for cloud architects. Discover the five essential tools that cloud architects rely on daily to optimize cloud infrastructure, enhance productivity, and ensure seamless operations.

Exploring data, searching unstructured sources, and finding direct answers to company-specific questions in internal systems are vital but cumbersome tasks for many businesses.