Embracing Ethical AI

whitePaper | January 11, 2023

Improving the trustworthiness of artificial intelligence (AI) systems is a shared priority for the private and public sectors, as indicated by prolific research and guidelines in recent years.

whitePaper | February 15, 2023

Artificial intelligence (AI) is an enabling technology impacting the global economy and international trade. Combined with business-process-oriented automation and more efficient data flow exchanges, AI further promises to lift barriers to international trade, stimulate growth in global electronic commerce and allow for better predictions and associations to inform policy decisions.

whitePaper | August 26, 2022

Evolving data centers into intelligent hubs for digitized business processes poses numerous challenges for IT managers. Many organizations are already adopting hybrid IT concepts to make their data center operations more flexible. However, they also have to keep an eye on new requirements such as IoT, AI, blockchain, container technology as well as data security, legal regulations and climate change. How can all this be seamlessly integrated and managed? And, what will matter next for the data center of the future?

whitePaper | August 30, 2022

Traditional database management systems have become more essential than ever, as data volume, velocity, and variety all increase at breakneck speed. But the harsh truth is that legacy database management systems were never designed for a digital-first business climate shaped by such factors as cloud computing, pervasive mobility, microservices, new data sources, and cloud-native application development.

whitePaper | May 15, 2023

The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.

whitePaper | July 16, 2020

Is cloud computing becoming the norm? As part of the digital offensives by many companies, cloud infrastructures are fast becoming a crucial technology driver and success factor for innovative business models and digital products. The growing interest in the Internet of Things and machine learning sent the adoption rate of the cloud soaring at numerous companies. Now, it is a question of “how” rather than “whether” cloud services can be used successfully at German companies.