Drawing on hands-on experience, Irina will explore how agentic AI goes beyond traditional RPA by integrating advanced decision-making, adaptive workflows, and seamless human-AI collaboration. The talk will showcase practical architectures, deployment strategies, and integration patterns that enable agentic AI to deliver measurable ROI – faster, at scale, and across diverse enterprise environments.

Attendees will gain insights into:
The core components and capabilities of agentic AI within the UiPath platform
How to orchetrate and implament agentic workflows that drive end-to-end automation
Self-healing agent capabilities

Whether you’re an automation architect, developer, or business leader, this session will equip you with the technical know-how and strategic perspective to harness agentic AI for transformative business value.

Bridging the Gap explores the technology stack, architectural choices, and model selection strategies that enable scalable, reliable, and maintainable AI systems tailored for the energy domain. We will also examine what a modern AI development stack looks like today and how organizations can prepare for long-term maintenance and evolution.

Finally, Bringing it All Together distills lessons learned from real-world implementations: what works, what persistent challenges remain, and how collaboration and trust can shape the path forward. This presentation aims to equip stakeholders with a grounded understanding of both the opportunities and the practical steps required to bridge the gap between AI’s potential and its successful adoption in the energy sector.

Enter a new era of clinical support, forged by a partnership between eSolutions, specialists in Big Data & AI architecture, and Symfonia Softeh, experts in clinical applications and EHR solutions. We have developed an AI Medical Assistant designed to function as a doctor’s trusted assistant. Our solution integrates into existing clinical workflows to:

1. Instantly Summarize Patient Histories: Generates concise, accurate medical summaries with full source traceability.
2. Enable Augmented Clinical Chat: Allows clinicians to converse with an AI assistant to explore differential diagnoses and clarify patient data.
3. Automate Medical Report: Assists in drafting comprehensive medical summaries and notes, directly within the EMR.

This session will unveil the synergy behind our collaboration: combining deep healthcare domain expertise with cutting-edge, enterprise-grade AI. We will showcase the platform’s architecture, featuring specialized AI agents, robust data governance, and secure, native EMR integration.

Attendees will witness a live demonstration of key features and gain actionable insights into best practices for adopting AI in a clinical setting – safely and at scale.

In this keynote, we will explore how Apache Iceberg, the open-source table format, is fundamentally reshaping the modern data architecture. This session is not just about a new technology; it’s about a new paradigm—one that is inherently open, massively scalable, and designed to be future-proof.  We will also share real-world use cases and their architectural patterns from leading companies that have successfully modernized their data platforms with Apache Iceberg.

Join us to learn how to break free from the constraints of the past and build a data architecture that is not only powerful today but is also ready for the innovations of tomorrow.

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Marian Simpetru will demonstrate how Alteus enables seamless adoption of generative AI through a versatile Chat Assistant (supporting top LLM providers like OpenAI, Google, Anthropic, and Perplexity), advanced context augmentation with Retrieval-Augmented Generation (RAG) and the Multi-Agent Capability Protocol (MCP), a centralized Admin Console for managing API keys, agents, data, and user permissions, an intelligent API Proxy for access management and cost control, and integrated Railguard models for safety and compliance.

Building on this foundation, Radu Gheorghe from Vespa AI will take a deeper look at the RAG component, exploring how Alteus leverages up-to-date data and semantic search to deliver relevant information to AI models. He will explain the interplay between models and data – how models require fresh facts retrieved via Vespa.ai, and how data retrieval itself relies on models for semantic search and ranking. This synergy enables Alteus (and other retrieval clients) to provide scalable, efficient, and context-rich AI solutions.

Join us to learn how the Alteus AI Platform helps organizations adopt AI effectively while ensuring security, governance, and cost control.

You’ll learn about improvements that make Cassandra easier to run, more powerful for developers, and better connected to the broader data ecosystem. From advances in performance and resilience to new integrations with tools like Spark, Kafka, Kubernetes, and OpenTelemetry, we’ll explore how Cassandra is becoming more flexible and future-ready.

Whether you’re already running Cassandra or just curious about its roadmap, this talk will give you a clear view of how the community is shaping the next generation of distributed data.

Adopting AI is never just a technological shift – it’s a cultural transformation. Without guiding principles, AI adoption risks remaining superficial. For any company starting this journey, the first two foundational steps are:

• Crafting an AI Manifesto tailored to your organization’s unique culture and objectives
• Building momentum through carefully selected internal pilot projects that demonstrate real-world value and foster organizational learning

An AI Manifesto makes adoption a conscious, strategic process. It’s a living document that clarifies values, goals, and acceptable behaviors—offering descriptive guidance rather than prescriptive rules. This empowers teams to act responsibly while retaining the freedom to innovate.

Pilot projects begin with Discovery Sessions, where domain experts and AI developers collaborate to identify high-impact, relevant use cases for your industry. These sessions surface real business challenges and opportunities, ensuring pilot initiatives are practical and strategically aligned.

Corina and Paz will guide participants in identifying core values and objectives, leading them through the steps to create an AI Manifesto and explore use cases for their companies, with Alteus AI as an active companion throughout the process.