A fundamentally different approach for building intelligent industrial systems

whitePaper | December 22, 2022

We live in a digital world in which data analytics and artificial intelligence significantly impact our daily lives. They influence what we wear, what we eat, where we travel, and how we spend our free time. In medicine the impact of data has much more drastic effects, as access to high-quality medical data is a matter of life or death for patients every day. In this particular area, the desire to save human life by discovering modern methods of therapy and diagnostics often contradicts another fundamental right of the patient - the right to privacy and the right to dispose of one’s data.

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

whitePaper | June 27, 2023

Data mesh is an innovative approach to data management that offers a solution to the most common challenges organizations face when dealing with large-scale data management. Data mesh concept consists of four key principles for large-scale data management in a multi-tiered, multi-domain organizational structure: domainoriented ownership, data as product, federated computational governance and a self-service data platform. These all promote a more agile, efficient and scalable data architecture. However, one of the central challenges to implementing data mesh is designing decentralized governance mechanisms that align with its core principles.

whitePaper | November 18, 2022

Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture. Organizations use data lakes to efficiently store and process a combination of structured, semi-structured and unstructured data at scale, powering multiple business intelligence and data science initiatives to support a variety of business units across an organization.

whitePaper | November 25, 2022

We live in a world of exponentially growing data. Within these massive datasets lies incredible potential, but only if users are equipped with tools capable of managing big data at scale and without lag.

whitePaper | December 28, 2022

For companies looking to innovate, minimize costs, and monetize new opportunities, how they drive value from their data estate is a determining factor in whether they succeed or fail. Similar to the speed, scalability, and efficiencies offered by Cloud computing, the ability for companies to do the same with their data operations – although not yet realized for most – will have a similar impact.