Imagine a world where software development is more like a casual chat with a clever AI assistant than a tedious typing marathon. New programming languages and frameworks will emerge, optimized for LLM generation and large-scale testing.

We will also cover the inevitable, revolutionary new path of open source in an AI world. With a sprinkle of humor and a dash of optimism, our talk will discuss how we can help the community transition towards a more efficient, streamlined, and dare we say, amusing future of software development.

Passwordless systems are fast becoming a reality as many of the big players (Microsoft, Google, Okta, AWS Cognito) implement support for FIDO2 and related technologies.

Although developers are making great progress in using these technologies to implement new passwordless architectures for the users of their products, we are years behind in doing the same for our own internal infrastructure. Tokens, passwords, and other secrets that are shared internally among developers are a major security risk, yet are extremely common among companies of all sizes.

This talk gives an overview of the current situation and associated security risks, a review of FIDO and FIDO2 standards, the options we have to improve our designs, and a case study of a sample passwordless infrastructure stack. We'll also discuss things to look for and avoid when selecting vendors and development tools to greatly improve security posture.

Learn how your team, regardless of size, can put all of the pieces together to implement a more secure, passwordless infrastructure.

Artificial intelligence (AI) is rapidly transforming our world, from the way we work and communicate to the way we make decisions and interact with each other.

As AI systems become more advanced, they raise complex philosophical questions about the nature of intelligence, consciousness, and ethics.

In this talk, we will explore these questions from a scientific and philosophical perspective, examining the latest research on deep artificial neural networks and their implications for our understanding of cognition, ethics, and safety.

Back in 2018 in his book “21 lessons for the 21st Century”, historian Yuval Harari emphatically noted that “Already today, ‘truth’ is defined by the top results of the Google search.”. The recent developments and disruptions caused by foundational AI models (to put it simplistically) such as ChatGPT denote the gravity and criticality of integrating the AI technology in every aspect of our lives. However, how feasible is it to trust AI systems? In 2022, journalist Karen Hao’s article about Facebook’s AI systems, reveals an interesting truth; tech organizations may not be in control of their AI systems. What seems to be even more worrisome, is that tech organizations may not want to be in control of their AI if this impedes their growth, or profits (or both).

AI systems tend to be highly dependent on data, so their error-proneness and potential impact rely on how they treat those data. If we consider that data are socially constructed or simply put, data reflect how we, humans, live, then this means essentially two things:

• AI systems need to be designed in a way that ensures they can be trusted,
• The organizations that own and operate AI systems should be mature enough for governing them responsibly.

All these beg several questions such as: What are the best practices when evaluating how an organization governs an AI system? What are the upcoming regulations dictating how we can audit AI systems? What are the essential aspects of an AI system that we as engineers need to test? How is it possible for an organization to find a balance between building Trustworthy AI versus optimizing for efficiency and for maximizing their business profits?

In his speech, Yiannis Kanellopoulos will elaborate on the above mentioned questions in a practical way and provide real-life examples on how an AI system can be tested in terms of its Performance, Fairness, Accountability, Transparency and Safety/Security.

Do you know that the greenhouse gas emissions from software applications surpassed those of the aviation industry in 2021? As our reliance on technology continues to grow worldwide, so does the environmental impact of software applications. But as software developers, we have the power to make a positive impact in the fight against climate change.

This session revisits the established development practices, providing practical guidelines that developers and architects can follow to measure and reduce the environmental footprint of software applications.

The focus is on practices requiring a minimal development effort, still providing the maximum savings in carbon emissions. At the same time, most of these practices will help reduce the costs of your cloud applications because they minimize the consumed resources (CPU, memory, storage, network). It is assumed you are involved in building software applications and aspire to help prevent climate change.

Quantum technologies use the quantum properties of physical objects (e.g. photons, atoms or more macroscopic objects) for both practical purposes and scientific experiments. In the last century, these effects have been mostly studied in academic settings, but recent years have seen an increasing development towards real-world applications.

In general, quantum technologies can enable measurements with higher precision (e.g. gravity & accelerations, time & frequency, electromagnetic fields, etc…), that are leading to new type of devices (quantum computer, quantum cryptography) or enable fundamental physics science experiments (e.g. exploring limits of quantum theory, quantum gravity).

In many of these applications, space plays an important role. Additionally, new concepts such as the rising performances of quantum computers, the quantum internet or quantum sensing devices offer many opportunities for being used either in space or being beneficial for the space industry in general. In this talk,

I am going to present the status of European Space Agency in view of space technologies and payloads in relation to satellite quantum optical communications and Cyber security.

Evangelizing the importance of Security Awareness, not only for End Users, but for Tech People as well (ICT & IS).

Proving via real-life paradigms that EVERYONE could potential fall for something rogue and make, vendor independent, suggestions on how to make the whole Sec Awareness Life Cycle (SALC; resembles to SDLC - right?!) more effective. Combating every user's FEAR and/or BOREDOM is key to a safer world...

This talk will explain the general concept, and then walk through a few examples, explaining terms and pointing out tradeoffs and nuances along the way. It will show creating genetic algorithms to solve two different problems, extracting a simple generic “evolver” from the code for those, and using that to supply the common parts for a third problem.

You will come away equipped with a powerful technique for solving problems in ways no human would probably ever think of directly!"

Writing postmortems after incidents and outages is an essential part of Google's SRE culture. They are blameless, widely shared internally, and allow us as an organization to maximize the insights from failures.

We touch on how postmortems are written and used at Google, as well as how they can help in making decisions and driving improved reliability. We also show how you can get started with your own lightweight postmortem process.

Focus will be to describe how Data Science and AI can support every industry and how we are embracing new and innovative technologies to better address clients' challenges.