Roelant Dieben
Cloud architect @ Sopra Steria
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With over 20 years of experience developing software on the Microsoft stack, Roelant Dieben has a lot to share about stuff that has been obsolete for years. At Sopra Steria he is helping companies with their Azure cloud and AI challenges, he is a Microsoft Azure & AI MVP, and has a passion for machine learning & AI and application lifecycle management.
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How will coding be relevant in the future?
The role of coders is changing. We are now entering a new epoch driven by big data, semantic computing, machine learning & artificial intelligence, and 5G. “So, what does this all mean for coders?” – During this session, we will consider what coding for the future will look like.
Key takeaways:
• Understand the importance of continuous learning to keep pace with new open source ecosystems and tools
• Recognise that data, algorithms, neural networks, and natural language processing are becoming increasingly intertwined in code
• Examine the requirement of more end-to-end systems knowledge than before in the coding community
• Explore what this means in the future – should we all be seeking to become data scientists?
• Envisioning a future of human coders - what does it look like with the advent of AI-enabled self-coding?
Demystifying neural networks
Neural networks are used in so many places all around us and can feel a bit overwhelming when you look into them as a software developer.
During this session, I will demystify neural networks, and give you some hands-on tips on how you can leverage them in your own projects. After the session, you will be able to distinguish the moving parts, how it helps us solve complex problems and how these networks are being trained.
The Dark side of AI
Artificial Intelligence is all around us. It is encapsulated in so many aspects of our day-to-day lives. Our phones, laptops, doorbells, and even lawn movers are enriched with technology to make our lives easier.
These beautiful developments also have a dark side and during this session, we take you on a journey to this dark side and beyond touching upon the very important subjects of diversity and inclusion and how these fit into the use of artificial intelligence.
Cost-Effective Solutions: Mastering Cost Management with Azure
In the rapidly evolving world of cloud computing, managing costs effectively is crucial for businesses of all sizes.
During this session, we will look at practical strategies and give insights on how to optimize your resources in Microsoft Azure. We will delve into the core components of Azure cost management, introducing a variety of tools and services that can help you and your organization monitor, allocate, and optimize their cloud expenditures.
Attendees will gain a comprehensive understanding of how to implement cost-effective solutions, identify potential cost savings, and make informed decisions about their Azure resources. Whether you are a seasoned Azure user or just beginning your cloud journey, this session will equip you with the knowledge to use Azure in the most cost-effective way possible.
The Philosophy of Truth in the Age of AI. Is the Truth still out there?
In a world increasingly dominated by AI-generated content, discerning truth from fiction has become a complex philosophical issue. This session seeks to explore this fascinating intersection of technology, philosophy, and truth, using Microsoft Azure's advanced AI capabilities as illustrative examples.
We will delve into the philosophical implications of AI's ability to generate seemingly authentic but fabricated content and the challenges it presents in our pursuit of truth. The session will explore the role of cutting-edge technologies in both creating and combatting this issue, with a special emphasis on Azure's AI and machine learning tools.
Whether you're a philosopher musing on the nature of truth, a technology enthusiast intrigued by the implications of AI, or a professional seeking to understand and navigate this challenging landscape, this session promises thought-provoking insights and practical knowledge.
The truth is out there!
Future-Proofing Your Business with Azure OpenAI
In an age where technological advancements quickly transform business landscapes, the necessity to stay ahead of the curve is paramount. This session aims to provide a comprehensive understanding of how Azure OpenAI can help organizations navigate this digital revolution.
The session will begin with a brief overview of Azure OpenAI, followed by an in-depth look at its potential for business applications. We will explore how Azure OpenAI can automate and enhance various aspects of business operations, from customer service to production processes. We'll delve into real-life case studies where Azure OpenAI has been successfully integrated into business operations, yielding measurable improvements.
Next, we'll focus on strategic decision-making powered by Azure OpenAI. We will discuss how AI can gather, analyze, and interpret data at scale to provide insights, enabling businesses to make data-driven decisions.
Finally, the session will provide guidance on implementing Azure OpenAI in your business context. We'll discuss how to identify potential areas for AI integration, the steps involved in implementing an AI solution, and how to measure its success.
By the end of this session, participants will have a clear roadmap on how to leverage Azure OpenAI to future-proof their business, drive innovation, and maintain a competitive edge in their respective industries.
RAG and Vector Databases Explained: How to hand LLM your Data
Adding your own data to large language models really makes them shine.
Join us for this demo-heavy session where we will explore several ways of handing these models your data, how vector databases are the new cool thing, and how services in Azure, like Azure AI search, help us make these models look even smarter.
This session will immediately get you up to speed with (the power of) RAG and will jump-start your LLM development journey
Tokens 101: Making sense of tokenization in AI
Tokenization is a fundamental concept for large language models, but what exactly is a token, how do tokenizers work, and why would we want to use tokens in the first place?
Join this session and we will unravel the mechanisms behind transforming textual data into machine-understandable formats together.
Through real-world examples and demos, you will grasp the essence of tokenization, the pitfalls, the relevance to prompt engineering, and why it is important to have some understanding of these fundamental building blocks of large language models.
Making sense of unstructured data with AI
Most applications of AI and machine learning are being powered by huge amounts of data in all sorts of forms. Sometimes this data is encapsulated in PDFs, images, video, or audio files, but you would still want the possibility to extract and leverage this data. During this session, you will get an introduction to the cognitive services that Microsoft has to offer and how to combine these amazing services with Azure Cognitive Search for extracting and analyzing your data.
In addition, we will discuss some broader AI concepts, the ingest-enrich-explore pattern, and how this all fits together with leveraging the cognitive services.
After the session, you will be able to infuse your own applications with some AI or a full-blown intelligent search experience.
GitOps on the Microsoft stack
In an ever-changing, fast-paced world in which we deploy our software workloads, we need a set of practices to cope with the challenges we face on a day-to-day basis.
GitOps is focused to help us implement the continuous deployment of our cloud applications and puts the developer experience front and center.
During this demo-heavy session, we explore what GitOps can do for you as a developer, which choices you can make when implementing GitOps, how it differs from DevOps, and how the declarative approach helps us keep things as simple as possible while still automating everything on the Microsoft stack.
After the session, you will be able to differentiate GitOps from DevOps and have the toolset to get started implementing GitOps yourself.
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