Kim Berg
Lead Architect Cloud Solutions & Data/AI Platform @Sogeti
Norrköping, Sweden
☁ Azure focused solution architect that loves to design innovative solutions.
🗣 Spreading the knowledge I've gained by speaking at public conferences and mentoring.
Started the IT career as an operations technician hosting data centers, but found my love for the cloud around 7 years ago.
Started specializing within Azure and the passion grew.
Currently working with Enterprise scale AI, Machine Learning and IoT solutions and platforms as a part of the Sweden national CoE @Sogeti.
Contributor to the open source initiative Enterprise Scale Machine Learning (ESML) and responsible for the solution accelerator SARAH.
Links
Area of Expertise
Topics
What's possible with Azure OpenAI?
So you have seen and heard about GPT, DALL·E, Whisper and other models, but what can you actually use them for?
With Azure OpenAI it's possible to leverage these models together with the different services in Azure. Azure OpenAI also offer built-in responsible AI and you can utilize enterprise-grade Azure security.
This session will show some examples on how you can use this powerful offering and give you ideas on what's possible!
Productionize Machine Learning on Azure
Machine Learning (ML) has gained widespread adoption among companies, exploring use-cases and serving as a powerful tool for unlocking value.
Getting ML projects from experimentation to production remains a formidable challenge for most organizations.
In this session, I will introduce a solution accelerator designed to address this very hurdle. The accelerator encompasses turnkey MLOps capabilities, alongside other essential components such as AutoLake.
By attending this session, you’ll gain a comprehensive understanding of the accelerator’s features, enabling you to streamline your Machine Learning journey. Additionally, I will provide practical examples illustrating the transition from research and development (R&D) to successful production deployment! 🚀🔍📈
Scaling AI use cases in Azure
With increasing number of AI services in Azure that also integrates with other Azure services, the question about how to implement this at scale and fit it into the Cloud Adoption Framework for Azure arise.
To answer and solve this question, let's build automation on how to implement Enterprise Scale AI landing zones in Azure. These landing zones will accelerate any kind of AI use case in Azure. Machine Learning, Computer Vision, Generative AI or any of the other capabilities that Azure offer.
For example, if you plan to use Azure OpenAI you also need to deploy other supporting services such as Storage Accounts, Key Vault, Private Endpoints, Azure Application Gateway and Api Management to securely expose your deployments and services and to be able to monitor you models.
So, to make sure you harness the full potential of the Azure AI services and AI in general, a robust and scalable infrastructure is crucial.
But, the infrastructure is just the first step. We also need to include a target operating model, MLOps, monitoring and lot's more.
Join me on this session and I'll show you my take on this!
Prompt Engineering for Generative AI: Tips and Tricks
Generative AI models can produce amazing content such as text, images, code, and music from natural language prompts. But how do you write prompts that get the best results from these models? What are the dos and don’ts of prompt engineering?
In this session, you will learn the patterns and approaches for writing effective prompts for large language models. We will cover topics such as:
The basics of prompt engineering: what are prompts, why are they important, and how do they work?
Different types of prompts: direct, example-based, chain-of-thought, and more.
Prompting strategies: how to use constraints, examples, roles, and feedback to guide the model’s output.
Prompt iteration: how to test, refine, and optimize your prompts for different tasks and domains.
By the end of this session, you will have a better understanding of prompt engineering and how to apply it to your own generative AI projects.
Innovating with Azure AI: A World of Possibilities
Join me in a enlightening session where we delve into the dynamic world of Azure AI services. This session is designed to showcase the breadth of Azure’s AI capabilities and how they can be applied to various real-world scenarios. Whether you’re new to AI or looking to expand your existing knowledge, this session will provide valuable insights into choosing the right Azure AI services for your needs.
We’ll explore a range of services, including Azure Cognitive Services for vision, speech, and language understanding, as well as Azure OpenAI to explore Generative AI and Azure Machine Learning for more custom solutions. Through engaging demonstrations, you’ll see these services in action, solving common business challenges and enhancing customer experiences.
I'll also go through some use cases where Azure AI have been used, providing you with practical examples and inspiration. By the end of this session, you’ll have a clearer understanding of the potential that Azure AI holds and the confidence to start implementing these services in your own projects.
Don’t miss this opportunity to accelerate your journey with Azure AI and get inspiration that can change the way you do business.
Azure User Group Sweden User group Sessionize Event
Cloud Technology Townhall Tallinn 2024 Sessionize Event
Swetugg Gothenburg 2023 Sessionize Event
Global Azure Stockholm 2022 Sessionize Event
Kim Berg
Lead Architect Cloud Solutions & Data/AI Platform @Sogeti
Norrköping, Sweden
Links
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top