Tools

What once took weeks of filming, editing, and coordination can now be done in hours — and often with more creative freedom. In this eye-opening demo, Tomas Sakro demonstrates how AI-generated elements are transforming traditional video workflows, enabling the creation of high-impact product videos from concept to final cut.

This isn’t just a change in how we make videos — it’s a shift in what’s possible. For marketing, product, and brand leaders, AI-powered video opens the door to faster content cycles, richer visual storytelling, and a competitive edge in communication. With real examples and live demonstration, Tomas will show how anyone can now create studio-quality videos — without a studio.

Articles are increasingly filled with buzzwords like hyper-personalization, AI-driven marketing, and seamless user experience. However, adapting to rapid technological changes is much more challenging in practice—especially when designing production-level, customer-facing solutions.

In this talk, we will explore how AI agents can be integrated into your architecture to deliver personalized content to customers and measure business impact. Additionally, we will examine how cloud-based solutions can help you build scalable systems while minimizing undifferentiated heavy lifting.

AI tools are only as good as the instructions they receive. Many teams using platforms like ChatGPT struggle to get consistent, high-quality outputs—not because the tools are flawed, but because prompts lack clarity or structure.

This workshop focuses on the core principles of prompt engineering to help you get better results from generative AI. Participants will explore how clarity, specificity, and strategic framing directly affect the quality of AI-generated content. Through real-world examples and actionable techniques, you’ll learn how to design prompts that align with your goals—whether you’re drafting text, summarizing content, or streamlining internal processes.

Perfect for professionals who want to move beyond trial-and-error and use AI more intentionally and effectively in their daily work.

In this talk, Marina Meli shares how she uses AI tools to create short corporate videos that explain complex products and solutions—quickly, affordably, and in a visually engaging way. These videos enhance sales by making technical topics easier to understand, without requiring large budgets or long production timelines.

Attendees will learn how to create these videos themselves—from concept and script to visuals and voiceovers—and how to approach promotional content with a creative mindset that drives results. Drawing from her dual experience in IT sales and filmmaking, Marina offers practical insights into how this approach works in real-world business environments.

This talk is especially timely, as AI tools become increasingly accessible. Now is the ideal moment for businesses and individuals to leverage these technologies to gain a competitive edge, refine messaging, and connect more effectively with their audiences.

Marina also addresses the ethical considerations of AI filmmaking, including questions of authenticity, transparency, and responsibility.

This talk is designed for professionals across industries who want to use AI to communicate more clearly, sell more effectively, and tell stories that truly resonate.

Most companies rely on proprietary models like GPT or Claude for their AI applications—but these closed systems come with trade-offs: limited control, vendor lock-in, and challenges around privacy, compliance, or customization.

This session is for engineering leaders and technical decision-makers who are considering a shift to open-source language models like LLaMA or DeepSeek. While these models now offer high-quality performance, making them production-ready takes real engineering work.

In this practical talk, Rachel Rapp shares lessons learned from deploying open models in real-world systems. She’ll walk you through how to:

Optimize inference speed using tools like vLLM and TensorRT-LLM

Add critical features like structured output, streaming, and async processing

Package models in containers and deploy on Kubernetes with autoscaling

The goal: to help your team run open-source AI models in production at scale—without sacrificing performance or developer experience. If you’re thinking about building AI-native applications with more control and flexibility, this session will show you exactly how to do it.

With a growing number of AI tools entering the market, Google continues to make significant investments into artificial intelligence to support real business needs. As an official Google Cloud Partner, TeraSky Baltic will showcase how these technologies are being used to reshape the modern workplace.

In this session, Giedre Kirejeva and Aivaras Tucius from TeraSky Baltic will share real-world examples of how AI is helping companies automate workflows, streamline operations, and build intelligent agents — all while keeping everything connected in one place. They will also introduce practical tools from the Google AI ecosystem that enable this transformation, including:
Vertex AI – for building, training, and deploying machine learning
models at scale.
Agentspace – an enterprise-grade platform that brings together
powerful AI agents, secure enterprise search, and generative
AI — all within a unified, branded interface.
Veo 3 – Google’s latest AI video generation model that creates
visually stunning, high-definition video and synchronized native audio from a single input prompt.

Whether you’re in IT, operations, or business leadership, this session will provide hands-on ideas and inspiration for using Google AI tools to create real impact in your organization.

You will gain a framework for designing multi-step, agentic AI processes, along with practical skills to write and implement custom Cursor rules that maximize the reliability and effectiveness of AI in complex coding tasks.

In this session, Kalle Sirkesalo moves beyond the hype and guides participants in building a real AI agent. This talk provides a clear, step-by-step roadmap for creating their first AI agent from the ground up, with no prior coding experience required. The session demystifies Large Language Models (LLMs) and explores the essential building blocks of AI: powerful prompting and low-code automation.

Through guided, hands-on labs, attendees will construct a functional agent and then give it superpowers by connecting it to external tools and building multi-chain prompts for complex reasoning. Participants will leave this session not with notes, but with a working AI agent they built themselves and the skills to create many more.

Why do most AI projects never make it past the pilot? It’s not the tech that’s failing—it’s the way we’re trying to use it.

Many organizations launch promising AI initiatives, only to see them stall in demo environments or fizzle out after isolated experiments. The missing piece? A strategy that goes beyond just choosing the right model—it’s about building the right engine to drive it.

Too often, companies lean on a single form of automation. Traditional automation is great for repetitive, rule-based tasks. Agentic automation, with its autonomous, adaptive nature, is ideal for dynamic and evolving needs. But each has its limitations—and using only one can hold you back.

This session unveils a hybrid automation model — blending the reliability of rule-based automation with the intelligence of agentic AI. You’ll learn how to go beyond proof-of-concept and build AI that delivers value at scale.

Led by AI expert Sara Maldon, this talk is for leaders ready to stop experimenting and start transforming. If you’re serious about making AI part of your business DNA, this is where it begins.

Many companies want to adopt AI, but most struggle to move beyond isolated pilot projects. These small-scale experiments often show promise—but rarely make it into core operations. The main reason? Most enterprise systems weren’t designed to support AI at scale. Data is siloed, tools don’t integrate well, and off-the-shelf AI solutions often raise privacy, compliance, or infrastructure concerns.

This demo explores how AI-first digital ecosystems—platforms intentionally built from the ground up with AI at their core—can solve this problem. Drawing on live deployments across energy, telecom, infrastructure, and manufacturing, Nur Alam, CEO of GreentecAI, shows how platforms like InsightHub, OperationsCenter, and VisionAI enable real-time, AI-supported decision-making across entire businesses.

Attendees will discover:
-The architectural principles behind scalable, AI-native platforms — including modular design and cloud-native infrastructure
-How to overcome common deployment pitfalls, especially when switching from proprietary models like GPT to open-weight alternatives
-Strategies for balancing performance, latency, and compliance using tools like SecureDeploy
-How technologies such as vLLM, SGLang, and TensorRT-LLM accelerate inference and improve AI responsiveness at scale
-Real-world lessons from GreentecAI’s production deployments across sectors

This demo is ideal for CTOs, enterprise architects, digital transformation leaders, and technical decision-makers looking to move from AI experimentation to robust, integrated platforms that deliver measurable business value.