How do you transition from a developer to a successful entrepreneur and build a multimillion-dollar business? The real-life journey of founding an AI company in the U.S., raising $2.5M in investments, and key insights into growing a tech business.

Every day, managers and team leads face numerous routine tasks: creating and updating issues in Jira, running meetings, syncing the team, handling retrospectives, and managing documentation. Most of these processes take up valuable time that could be spent on strategic leadership and team development. In this talk, I will show how AI can optimize team processes, automate routine tasks, and make workflows more efficient. You will learn how AI enhances Scrum processes and helps streamline team management. I will also share my experience in automating workflows in Jira and Slack: how to reduce manual work with simple automation rules, set up automatic notifications for blockers, generate Confluence pages, track team productivity, and extract valuable insights.

Among the countless lists of AI tools for marketing, many companies stick to the most obvious choices. But what if there are lesser-known yet far more effective tools that can completely transform your marketing approach? In this talk, I’ll share the real AI solutions my team and I use across different areas of marketing. I’ll explain how these tools help us optimize costs, boost efficiency, and significantly cut our marketing budget—honestly and without the clickbait!)

For the past three years, I have worked at LetsEnhance/Claid, an AI startup that enhances image quality and creates new backgrounds for customer products. While the infrastructure is always the same, it varies: large models, significant latency, and unreliable autoscaling. In this speech, I will discuss our perspective on AI infrastructure and our ideas for its improvement. The topic is for mid to senior-level engineers who are either already in AI or interested in understanding how it differs from traditional infrastructure.

This talk makes AI approachable to the everyday developer to drive real-time business outcomes and goals. We explore running AI locally, getting around some serious limitations with AI like hallucinations and knowledge cutoff, and creating better user experience with AI.

In this topic, we will go through the step by step guide how to build an AI application using PHP and large language models. We will understand how your bot can respond like ChatGPT and manage your private data without training or extensive expertise in Data Science. We will also review existing libraries and how these approaches can be utilized in your applications.

Azure AI Studio provides a single platform for building intelligent applications, seamlessly integrating with Microsoft's suite of Azure AI services. The intuitive interface and robust APIs simplify the development process, enabling rapid prototyping and deployment. You will learn how to leverage generative AI capabilities, such as Azure OpenAI, to create advanced applications that can generate human-like text, images, and more.