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Bitte bringen Sie Ihren eigenen Laptop für die praktische Übung mit. Keine AWS-Vorkenntnisse erforderlich, Grundkenntnisse in Programmiersprachen sind hilfreich. In diesem Workshop werden die Teilnehmer:innen einen generativen KI-Prototypen auf Basis von Amazon Bedrock entwickeln. Durch eine Reihe von praktischen Übungen, die sowohl für Anfänger als auch Fortgeschrittene geeignet sind, werden die Teilnehmer:innen lernen, die Fähigkeiten von Large Lanugage Models (LLMs) einzusetzen und mittels Amazon Bedrock Geschäftsprozesse zu verbessern. Amazon Bedrock ist ein vollständig verwalteter Dienst, der eine Auswahl hochleistungsfähiger Foundational Models (FMs) von führenden KI-Unternehmen wie AI21 Labs, Anthropic, Cohere, Meta, Mistral AI, Stability AI und Amazon über eine API-Schnittstelle bereitstellt um generative KI-Anwendungen sicher, gemäß aktueller Datenschutzverordnungen und auf Basis von ‘Responsible AI’ zu entwickeln und betreiben.
Christian works as Partner Solutions Architect at AWS where he helps consulting partners to develop the next generation of their AWS offerings. He has experience in batch processing, web development as well as managed services and is passionate about Machine Learning.
AI is already reshaping every industry, by augmenting our capabilities, transforming work, and shaping a new world of possibilities. In this session we will talk about how Microsoft's Cloud offering can help you power your AI transformation. Right from Copilots that help you become more productive to advanced LLMs and SLMs, we will look at how you can lead the Era of AI. We will also talk about building modern Data Platforms that act as the foundation for your AI initiatives. With Microsoft Fabric for Analytics & Microsoft Purview for Governance & Security, we got the entire Data Estate covered.
As an Azure Global Black Belt (GBB) Specialist at Microsoft, I help the largest and most complex companies in EMEA to modernize their data estate. I support our customers by evangelizing technology, providing collaborative guidance, helping them design end-to-end analytics solutions and driving digital transformation in the era of AI.
As a Go-to-Market Manager for Analytics at Microsoft, I drive the successful launch and adoption of analytics solutions. I collaborate with cross-functional teams to develop insights from market research, competitive analyses, and industry trends. My goal is to create differentiated value propositions aligned with customer goals and execute effective go-to-market strategies.
Make Data and AI a team sport! Bring AI to all your data (structured and unstructured) with a simple approach. Understand how to activate GenAI powered data insights. Learn what features on Google’s Data Cloud help you to set up a mature Data and AI ecosystem.
Alejandro Mesas Garcia is a Data passionate that enjoys working and learning new things in a sector constantly evolving and improving. During his career had different roles from Data Engineer, Data Architect , ML Engineer and Solutions Architect which gave him a brother overview of the challenges and opportunities to improve in the different levels. Alejandro Loves working with Technology but even more trying to help people to find simple solutions in their Data Journey.
Data analytics solutions have been one of Christine Schulze's favorite projects in several companies for over 20 years. After an excursion as a guest lecturer at the Rosenheim University of Information Systems, she is now supporting customers on their way to becoming a “data-driven company” in the Google Cloud team for over 4 years. Her passion lies in the topics of data governance, building data platforms and data & AI.
Join us to explore the World of Data Vault Modeling and discover the keys to successful agile EDW deployments. We will answer the questions: What is Data Vault Modeling? How is it different from other techniques? Why do we use it? And, how can we apply DV successfully? This is a dynamic and interactive session where we will pursue ideas, discuss patterns and take the first steps into modeling a Data Vault. And as a bonus you will meet other data modelers and learn something new.
Remco Broekmans is the vice president of international programs for Genesee Academy. He works in Business Intelligence and Enterprise Data Warehousing as a trainer, advisor, facilitator and speaker with a focus on modeling and architecture including Ensemble and Data Vault modeling. He works internationally, and is based in the Netherlands. The last 15+ years, Remco has taught different classes on data modeling, business intelligence and data warehousing, and is acting as a coach for several teams to improve their skills in data modeling. Specialties: Information Management and Modeling, Ensemble Modeling, Data Vault Modeling, Agile Data Warehousing, Education and Business Development.