Participants will examine the technological underpinnings of AI-driven image creation and discuss strategies to mitigate biases

• A Closer Look at the Technology Behind GenAI Image Creation

• Humans are biased, generative AI is even more so - what can we do about it?

• Addressing Biases Related to Gender, Age,or Skin Color in Image Creation

• Examining Your Dataset

• Potential Regulations to Prevent AI Bias

How can we make sure that the implementation of Gen AI tools keep pace with technology jumps? Participants of this workshop will learn about latest product drops and features by Microsoft.

• The Evolution of AI: Microsoft’s Groundbreaking Model Updates

 • Dive into the latest advancements in AI from Microsoft

• Rise of Small Language Models (SLMs): A Game Changer for Businesses

• Microsoft’s AI Vision: Transformative Products & Capabilities

 • Discover the future of AI with Copilots: From personal productivity to enterprise

 solutions

 • Create your own AI Copilot: Democratizing AI for everyone

 • AI in Embedded Devices: Powering the next generation of intelligent hardware

• The Emergence of Agentic AI ( Exploring autonomous AI agents )

• Real-World AI Applications: Industry Use Cases

• Fine-Tuning AI - To fine-tune or not: Evaluating the need and possibilities

• Operationalizing LLMs: From Evaluation to Deployment with LLMOps

Sonika Kapil

AI & App Chief Architect
Microsoft

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Not every problem needs to be solved by AI. If you consider the full toolbox available to you to solve tasks, you will realize that AI is mainly an extension of it, adding new tools and therefore new possibilities to solve business problems. However, one of the main challenges is to cultivate a new mindset and culture around working with AI-related technologies and products. In this workshop, you will learn how to identify and prioritize business problems that can and should be solved with AI.

• Developing AI-literacy in the management teams

• Working through common mental blocks, such as the fear of being replaced by AI in the

 near future.

• Creating the right expectations around project management in AI context.

• Finding a framework to prioritize AI projects according to risk vs. potential and

 identifying low effort and high impact projects.

• Build vs. buy: opportunities and risks of using “out of the box” AI tools

Eric Joachim Liese

Strategic Advisor and Lead Architect for AI & Data
BSH Home Appliances Group

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Dr. Rahim Malekshahi

AI Platform Technology Manager
BSH Home Appliances Group

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Explore cutting-edge techniques for enhancing collaboration among agents and understand the significant impacts these systems can have on operational efficiency and decision-making processes.

• Advanced Techniques: Gain a deep understanding of the latest strategies and tools

 used to improve the coordination and interaction between different AI agents.

• Operational Insights: Discuss real-world applications and case studies that highlight the

 transformative effects of multi-agent systems on business operations and

 organizational dynamics.

• Interactive Discussions: Participate in group discussions and scenario-based activities

 to brainstorm potential implementations and innovations in your own fields.

 This workshop is ideal for AI researchers, developers, and technology strategists seeking

 to leverage the power of multi-agent systems to solve complex problems and enhance

 the capabilities of their AI solutions.

Donatien Chedom Fotso

AI & ML Team Lead
Deutsche Bank

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