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Is Secure Application Development with Artificial Intelligence(AI) a no brainer?

This article highlights the importance of extending secure development practices, like the Secure Development Life Cycle (SDLC), to accommodate AI-specific needs throughout the entire software development process, emphasizing key differences between AI and traditional software development.

Hugging Face 101: More Than Just a Cute Emoji

Have you ever wondered what Hugging Face is and how to use it? This article offers an introduction to the platform and guides you on how to get started quickly. By the end, you'll understand why it has gained such widespread popularity within the AI community.

Mariana Amaral Garcia Avelino

Google scraps plans for 3p cookie deprecation, it's still going away though ...

Last week, Google announced a major shift in its Privacy Sandbox plans and third-party cookie deprecation strategy. Instead of disabling third-party cookies by default, Google will introduce a new interface allowing users to opt-out. This move comes amidst competitive and regulatory pressures and follows delays in developing effective replacements for third-party cookies. Here is what to make out of this.

Achim Schlosser

Make or buy? The key question when integrating AI tools into an organisation

Companies are integrating generative AI for growth and efficiency, addressing skills shortages without more hires. The challenge lies in managing expectations and avoiding redundant investments. This article explores whether to develop custom AI tools in-house or use commercial solutions.

Harnessing the Power of Multi-Agent Systems for Generative AI (Part 2)

In this second part of our series on multi-agent systems in generative AI, we explore LangGraph, a component of the LangChain framework, and its role in implementing complex information flows. We delve into how LangGraph builds upon Autogen's foundation, offering more precise control over agent communication through directed graphs. By comparing the features, usability, and maturity of both frameworks, you'll gain insights into choosing the right tool for your specific use case and leveraging the power of multi-agent systems in generative AI.

Moritz Georg Glauner

Harnessing the Power of Multi-Agent Systems for Generative AI (Part 1)

As generative AI tackles increasingly complex tasks, multi-agent systems provide a promising approach by dividing the workload among specialized agents. In this blog post, we explore the potential of multi-agent systems in generative AI, discuss when they are most effective, and introduce Autogen, the first framework designed for creating multi-agent setups. By understanding the building blocks and implementation of multi-agent systems using Autogen, you will gain insights into leveraging this powerful tool for automating complex processes and enhancing the capabilities of generative AI.

Moritz Georg Glauner

Automating (legacy) business processes using cutting edge technologies - part 5 (PowerAutomate)

This article discusses a shift in the author's team's approach to enterprise process automation, moving away from PowerAutomate and towards Apache Camel + Camunda 8 for pro-code development. The author shares a personal use case of using PowerAutomate for desk booking, Outlook calendar management, and Teams status updates. The article highlights the time-saving benefits of automating these tasks and mentions the quick return on investment in creating the necessary flows.

Automating (legacy) business processes using cutting edge technologies - part 4 (EASI/Apache Camel)

In this article, we discuss the use of Apache Camel and AWS SQS in automating legacy business processes. We explore the implementation of a microservice for error handling and data transformation between a webshop system and a CRM system as an example. We explain the decision to create our own integration platform and the transition to a Kubernetes environment for scalability and stability. We also touch the integration of Apache Camel and Camunda 8 workflow engine.