Attendees explore cloud data, AI integration, and application development at the BUILD dev conference for AI and Apps, gaining practical experience through virtual workshops, sessions, and online resources. The event provides developers, data engineers, IT professionals, and technology leaders with hands-on opportunities to apply cloud and AI tools in real-world projects.
The BUILD dev conference is a fully virtual event designed to combine technical and strategic perspectives for participants across multiple industries. It emphasizes actionable knowledge that attendees can immediately implement in their own organizations. The conference brings together thousands of participants from around the world to explore Snowflake’s AI Data Cloud, modern application development practices, and cloud-native workflows.
The BUILD dev conference for AI and Apps is a virtual event designed for developers, data engineers, IT professionals, and technology leaders to explore cloud computing, AI, and application development. The conference focuses on practical ways to apply data and AI in real-world projects and provides online opportunities for learning, discussion, and exploration of new tools.
The event balances technical and strategic content. Developers can dive into cloud-native architecture, real-time analytics, and AI workflows, while business leaders can learn how these technologies influence operations, data governance, and digital strategy. By offering both perspectives, the conference ensures participants gain insights that are applicable to a wide range of roles and industries.
The conference kicks off with a keynote from Snowflake's Sridhar Ramaswamy, CEO, and Christian Kleinerman, EVP of Product . They share their vision for the AI Data Cloud and introduce new capabilities designed to help developers build AI-powered applications. The keynote includes live demonstrations and examples from developers working with these tools, giving participants a clear picture of how the technology works in practice.
Many sessions focus on data-driven application development. Participants can explore cloud data warehousing, real-time analytics, and workflow automation. Presentations cover how cloud platforms manage large-scale data, optimize performance, and maintain security and compliance across distributed environments.
Speakers demonstrate how to build and manage data pipelines, turn raw data into actionable insights, and design applications that can handle both structured and unstructured data. Case studies and demos highlight practical strategies and common challenges, helping developers translate the concepts into real-world application development.
The conference highlights how AI can be embedded into applications. Sessions show methods for deploying machine learning models, running predictive analytics, and optimizing AI workflows for efficiency and reliability. Developers learn how AI can automate tasks, improve decision-making, and deliver personalized experiences within applications.
Virtual workshops cover topics like model training, deployment pipelines, monitoring AI performance, and addressing challenges like bias and explainability. These sessions are designed to help developers apply AI responsibly while enhancing application functionality.
Participants can join more than 50 technical sessions covering cloud-native architecture, real-time analytics, and AI workflow optimization. Developers explore methods for building and managing data pipelines, performing predictive analytics, and designing applications capable of handling both structured and unstructured data. Sessions address security, compliance, and data governance in distributed environments, giving participants insights into building scalable and reliable systems.
The BUILD dev conference features interactive online workshops and labs where participants can explore cloud data tools and AI workflows in a guided, virtual setting. Attendees can follow step-by-step exercises, explore prebuilt examples, and test integration strategies in real time using online environments.
These interactive sessions accommodate all skill levels. Beginners can learn the basics of data modeling, queries, and API integration, while more advanced developers explore real-time analytics, multi-cloud strategies, and automation techniques. By participating virtually, attendees can apply what they learn immediately while engaging directly with instructors and other developers through Q&A and collaborative exercises.
Even as a virtual event, networking plays an important role. Participants have opportunities to interact with peers, industry experts, and technology leaders in structured online sessions, including live discussions, Q&A panels, and virtual roundtables.
These interactions allow attendees to share insights, discuss challenges, and make professional connections that extend beyond the event. Virtual breakout sessions also encourage collaboration between developers and business professionals, helping participants understand how cloud and AI technologies are applied across industries.
Attendees gain access to a range of online resources, including tutorials, code samples, documentation, and prebuilt templates. These resources support continued learning after the event and provide materials participants can use directly in their own projects.
Resources cover cloud architecture, database optimization, AI deployment, and application scalability. Step-by-step guides and reference examples help developers adopt new methods and implement best practices, ensuring that what they learn at the conference can be applied effectively in practical scenarios.
The conference includes presentations from technology leaders, engineers, and strategists who provide insights into emerging trends and long-term developments in AI and cloud computing. Topics include enterprise data strategy, AI frameworks, adoption trends for cloud-native architecture, and the practical use of AI in business processes.
These sessions help attendees understand market dynamics, regulatory considerations, and technical challenges related to implementing AI and cloud solutions. Speakers provide practical guidance for integrating these tools into existing systems, helping organizations improve performance, security, and scalability.
The conference provides a virtual platform for learning, experimentation, and professional engagement. Participants gain knowledge through online sessions, interactive labs, and expert presentations that support development in cloud computing, AI integration, and application design.
It emphasizes practical knowledge that can be applied immediately. Attendees leave with a better understanding of cloud-based data systems, AI workflows, and modern development practices. By combining virtual technical sessions, interactive labs, and professional networking opportunities, the event equips developers and business leaders to implement scalable, effective solutions in their organizations.
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