Kim Berg

Kim Berg

Lead Architect Cloud Solutions & Data/AI Platform @Sogeti | Microsoft AI MVP

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 with large enterprise clients based in Sweden.
Part of the Microsoft Responsible AI Innovation Center in Sweden.
Contributor to the open source initiative Enterprise Scale Machine Learning (ESML).


Area of Expertise

  • Information & Communications Technology
  • Manufacturing & Industrial Materials


  • Artificial Inteligence
  • Artificial Intelligence (AI) and Machine Learning
  • Artificial Intelligence and machine learning
  • Azure
  • Azure DevOps
  • Azure Data & AI
  • Microsoft Azure
  • Azure PaaS
  • Azure Data Platform
  • IoT
  • Azure IoT
  • Industrial IoT
  • IIOT
  • Internet of Things (IoT)
  • Machine Leaning
  • Azure Machine Learning
  • Solution Architecture
  • generative ai

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.

Navigating the Complexities of Industrial IoT

Let's dive in to the intricate world of IoT solutions in the industrial sector.
This session will cover Azure IoT reference architectures, tailored for industrial applications and discuss the common pitfalls encountered during implementation.

Participants will gain understanding of what to think about when connecting and managing devices at scale, the importance of interoperability, and the use of open standards like OPC UA for seamless integration.

I'll share valuable lessons learned from real-world deployments, highlighting how these insights can lead to improved efficiencies and faster production. Attendees will leave with actionable knowledge on creating a digital feedback loop to optimize production processes and the role of Azure services in achieving a robust IoT solution.

Whether you’re a seasoned professional or new to the field of IoT, this session promises to equip you with the tools and knowledge to navigate the complexities of industrial IoT architecture and drive innovation within your enterprise.

Øredev 2024 Sessionize Event Upcoming

November 2024 Malmö, Sweden

Experts Live Europe 2024 Sessionize Event Upcoming

September 2024 Budapest, Hungary

Azure User Group Sweden User group Sessionize Event

April 2024

Cloud Technology Townhall Tallinn 2024 Sessionize Event

February 2024 Tallinn, Estonia

Swetugg Gothenburg 2023 Sessionize Event

October 2023 Göteborg, Sweden

Global Azure Stockholm 2022 Sessionize Event

May 2022 Stockholm, Sweden

Kim Berg

Lead Architect Cloud Solutions & Data/AI Platform @Sogeti | Microsoft AI MVP

Norrköping, Sweden


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