Lasse Wrobel | cc-bei.news

Microsoft Copilot – A First Look at the Workday of the Future?

Posted on 25.04.2023 By Lasse Wrobel

Microsoft 365 has around 350 million paying users worldwide who use the Office Suite every day to create presentations, analyze data or collaborate in teams. Most of this daily work is done manually, as automation is not possible for all users due to a lack of knowledge. But it is exactly this challenge that Microsoft wants to solve with the introduction of Microsoft 365 Copilot. In this blog post, the function as well as the application possibilities of the Copilot are presented and fundamental implications of the collaboration between humans and arti-ficial intelligence in the everyday work of the future are shown.

Digitization, News, Nicht kategorisiert, technologies

Distributed Ledger Technology for the Real Estate Market – A Meaningful Synthesis?

Posted on 02.02.2023 By Lasse Wrobel

The global financial crisis is a prime example of the real estate industry’s relevance to and close interconnectedness with the financial industry. To prevent the real estate market from negatively impacting the financial industry, different challenges need to be solved. Technological innovations such as distributed ledger technology (DLT), especially blockchain technology, have opened up new opportunities for addressing these challenges in recent years. This post analyzes the impact of DLT on each step of the real estate acquisition process (particularly the mortgage process).

All, Digitization, technologies

Decentralized Identity – Secure Digital Identity Management?

Posted on 08.07.2022 By Lasse Wrobel

Everyone is familiar with the following situation from everyday life: financial service providers or service providers (e.g., mobile network operators) offer services only for registered and verified users. The consequence: In order to be able to prove one’s own identity online, a new account must first be created using an e-mail address and a selected password. The process of creating and verifying different accounts results in a single user having many online identities and involves almost as many identity providers. Above all, the protection of one’s own data falls by the wayside in many cases. The advancement of blockchain/distributed ledger technology in recent years has given rise to a new approach to online identity processing and verification, Decentralized Identity. This post explores the concept as well as the underlying technology and highlights advantages over the traditional use of identity providers and user accounts.

All, Digitization, technologies

Digital Twins – The Merging of the Real and the Virtual World

Posted on 18.05.2022 By Lasse Wrobel

The amount of data about real products, processes, and services has increased dramatically in recent years. This opens up new possibilities for planning, simulation and analysis. For this purpose, more and more companies use the concept of a digital twin. But what are digital twins and what potentials do they offer at the enterprise level, especially in the financial industry?

All, Data, Digitization, technologies

Federated Learning – Efficient Machine Learning That Respects Privacy?

Posted on 13.05.2022 By Lasse Wrobel

In the financial industry, customers expect high standards with regard to data protection and the integrity of their own data. Nevertheless, from the perspective of value creation, it is essential for banks to evaluate customer data using statistical methods and algorithms. Banks are thus caught in a conflict between maintaining data privacy and enforcing their own business model. To address this problem, the concept of “federated learning” has become established on the market in recent years, in which the data used for model training is always stored decentrally and the models are trained decentrally.

All, Data, Ecosystems, technologies

“Data-centric AI” – A shift in the AI mindset?

Posted on 29.04.2022 By Lasse Wrobel

The traditional approach to AI focuses on the process of training the model. The underlying data is often a secondary concern. This approach works particularly well for Internet corporations, as they have vast amounts of data and the capabilities to analyze it. In contrast, there is little potential for using AI in small businesses with this approach due to a lack of data. Therefore, it is worth taking a look at the data – moving away from model-centric to data-centric AI.

All, Data, technologies