Discover upcoming AI conferences in Austin for 2026.

AI Conferences in Austin 2026

### Overview
LLMday returns to Austin, Texas on May 12, 2026 for a full day dedicated to Large Language Models, AI and ML. The event takes place at The Sunset Room in downtown Austin (310 E 3rd St, TX 78701, United States). The day is structured to showcase a wide range of topics from production grade AI and LLM deployment to open source AI, observability, and data powered AI systems. The program emphasizes practical patterns, governance, and real world applications for engineers, data scientists, platform teams, and executives evaluating how to scale AI responsibly.

### Agenda
The agenda centers on a single-day schedule with a keynote style opening and a sequence of talks across multiple tracks. Highlights include sessions on SRE and open source AI, agent driven AI workflows, and production readiness for LLM systems. The day includes breaks for networking and a lunch & networking segment. A parallel emphasis is placed on practical patterns in LLMOps, governance, and security when deploying AI in enterprise contexts. Attendees can expect a mix of technical talks, demos, and case studies that translate classroom concepts into concrete engineering patterns and decision making for real projects.

### Tracks and Sessions
Track style sessions cover architecture, tooling, and engineering patterns for LLMs in production. Notable topics feature:
- Keynotes and talks on agentic AI, tool integration, and guardrails for autonomous AI systems.
- Practical patterns for LLM deployment in regulated industries such as healthcare and finance.
- Observability and instrumentation for AI systems, including OpenTelemetry integrations and instrumentation score concepts.
- Real-world production lessons, including guardrail design, escalation paths, and governance frameworks.
- Integrations with cloud platforms (AWS, Datadog, Salesforce) and enterprise data pipelines to enable scalable AI workflows.

### Speakers
The program features senior practitioners and experts from leading technology organizations. Featured speakers include:
- Miko Pawlikowski, SRE Author and keynote presenter on open source and SRE topics.
- Sandhya Subramani, AWS Senior Developer Advocate focusing on generative AI and applied ML.
- Whitney Lee, Datadog engineer and AI observability advocate.
- Alfonso Cancellara, Red Hat Open Source advocate and AI platform engineer.
- Nilima Rodrigues, Align Technology data leader and architect of enterprise data platforms.
- Nikita Kothari and Varun Joshi, Salesforce and AWS engineers presenting on production LLM patterns.
- Jim Markunas, The Austin Consulting Group, on agentic workflows and governance in production.
- Sivakumar Selvaraj, Caesars Entertainment, on AML detection using agentic AI and large-scale data projects.

### Format and FAQ
The event blends talks, demos, and live engineering patterns with opportunities for Q&A and networking. Tickets can be secured through the event page, and CFPs are hosted via a partner platform. Attendees should expect session topics to cover production readiness, governance, and practical implementations of LLM driven solutions. If you are an software engineer, data scientist, platform engineer, or technology leader evaluating how to deploy AI at scale, LLMday Austin provides a focused forum for hands-on guidance and industry insights.

### Who should attend
Engineers, developers, data scientists, site reliability engineers, platform engineers, and technology decision makers who are evaluating or building AI powered systems in production. The day is designed to provide tangible takeaways for implementing agentic AI workflows, monitoring and governance for LLMs, and practical patterns that translate into real-world deployments.

LLMday Austin 2026

### Overview
Airflow Summit 2026 is the premier conference for the worldwide community of developers and users of Apache Airflow. Hosted in Austin, USA, the event brings together data engineers, software developers, data scientists, and BI professionals to explore the latest features of Apache Airflow, learn best practices, and connect with peers and leaders in the Airflow ecosystem. The program emphasizes real-world usage, scalable data workflows, and the integration of Airflow with machine learning, data engineering, and business intelligence workflows. Attendees will engage with hands-on sessions, keynote talks, and community-led discussions designed to accelerate the adoption and effective use of Airflow across industries.

### Agenda
The event spans three days from August 31 to September 2, 2026. Attendees can expect a diverse schedule including confirmed keynotes, numerous sessions, and a broad range of in-depth tracks. The site highlights:
- 3 days of programming with a mix of keynotes, sessions, and workshops
- Over 100 sessions covering advanced Airflow topics, best practices, and real-world use cases
- Networking opportunities to connect with industry peers and contribute to the Airflow community
- A focus on features of the latest Airflow releases and emerging technologies related to data engineering and AI

### Format
Airflow Summit 2026 is presented as an in-person conference with a robust agenda of sessions and workshops. The site notes an offline event attendance mode, with a venue in Austin and a comprehensive program structure that includes confirmed keynotes, confirmed sessions, and confirmed speakers. The event aims to facilitate hands-on learning, practical demonstrations, and ample opportunities for attendee interaction and networking. A sponsor showcase and community involvement are also featured as part of the event experience.

### Speakers and Sessions
The program is built around confirmed keynotes, confirmed sessions, and confirmed speakers. While specific speaker names are listed on the site, the page emphasizes that attendees will hear from leading practitioners and the Apache Airflow community. Expect sessions that cover advanced workflow orchestration, data engineering patterns, and practical guidance for deploying Airflow at scale. The conference will also feature talks that explore integration with machine learning pipelines and business intelligence workflows.

### Venue and Tickets
The event takes place at the Hyatt Regency Austin, located at 208 Barton Springs Rd, Austin, TX 78704, USA. The venue provides a central location in Austin for attendees to access multiple program tracks and sponsor showcases. Tickets are available through the event site, with a listed price of USD 550 and availability for in-stock attendees. The organizers position Airflow Summit as a community-driven gathering organized by the Apache Airflow ecosystem and the broader developer community, offering attendees valuable insights, networking, and opportunities to contribute to the ongoing evolution of Airflow.

### Who Should Attend
Airflow Summit 2026 is designed for developers, data engineers, data scientists, and BI professionals who use or plan to use Apache Airflow. It is suitable for those interested in learning about new Airflow features, best practices for orchestration in data pipelines, and how Airflow integrates with modern data and AI workflows. Attendees should be prepared to engage with technical content, participate in discussions, and explore real-world case studies presented by community members and industry experts.


Airflow Summit 2026

### Overview
The 6th Tech Summit on Big Data, Data Science and Machine Learning is a flagship event organized by Aver Conferences. It is positioned as a comprehensive forum for academicians, researchers, and industry professionals to explore a wide range of topics at the intersection of data engineering, analytics, and AI. The event is designed to bring together practitioners from various sectors to discuss strategies, tools, and best practices for handling large data sets, deriving insights, and applying machine learning in real-world scenarios. The conference emphasizes not only technical topics but also governance, ethics, and the practical implications of data-driven decision making.

### Agenda
The site presents an extensive agenda organized into multiple tracks and sessions, including panels and workshops on the following themes:
- Big Data Analytics and Data Governance and Compliance, emphasizing governance frameworks and regulatory considerations.
- AI and Machine Learning in Big Data, focusing on how AI techniques can be applied to large data sets and complex data pipelines.
- Cloud Computing and Big Data, covering scalable storage, processing, and deployment paradigms in cloud environments.
- Data Integration, ETL processes, and Data Storage Management, addressing the end-to-end flow of data from ingestion to analytics-ready formats.
- Edge Computing, IoT Data, and related topics that discuss data generated at the edge and its integration into central processing systems.
- Data Ethics, Bias, Fairness, and Blockchain considerations, exploring responsible AI practices and data integrity.
- Career pathways in Data Science and Big Data, providing guidance for professionals and students entering the field.

The description also references an overarching structure of accordion-style sessions with collaborative and interactive components, designed to facilitate in-depth exploration of each topic area. The schedule appears to include multiple sessions per topic area with a focus on practical demonstrations and case studies.

### Format and Venue
The event is described as a multi-day in-person conference with a traditional conference layout, including keynote-style sessions, parallel tracks, and opportunities for networking. The site features a visual banner with event dates and location, and it lists a variety of partner and media partner organizations, suggesting a well-supported program with industry involvement. The agenda sections imply structured sessions, with collapsible modules for different topics and a focus on hands-on discussion and knowledge sharing.

### Who should attend
The conference targets a broad audience in the data and AI community, including researchers, data engineers, data scientists, data governance professionals, and students or early-career professionals seeking to understand current trends in Big Data, Data Science, and Machine Learning. With topics spanning governance to technical implementations, the event aims to be valuable for anyone involved in the end-to-end data lifecycle, from data ingestion to deployment of AI systems.

### FAQs and practical details
The site signals a strong emphasis on practical learning and career development, highlighting benefits such as networking opportunities, exposure to global experts, and the chance to present or learn about cutting-edge research and industry practices. While specific speakers and session abstracts are not listed in detail on the page, the breadth of topics and the high level of organization indicate a well-structured conference designed to offer actionable knowledge and professional growth for attendees.

AI Conferences in Austin 2026

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