Data teams overcome challenges by building data pipelines, using advanced analytics and developing machine learning models. These challenges often span across disciplines to incorporate multiple data types, technologies, and tools — this is the driver of data lakehouse adoption.
Are you a practitioner solving data, analytics and AI challenges using Apache Spark™, Delta Lake, MLflow, TensorFlow, PyTorch, Scikit-learn, BI and SQL analytics, real time streaming, deep learning and machine learning frameworks? If so, we invite you to share your experience with our global Summit community.
Draft your proposal for a 15-minute lightning talk, 40-minute session or 90-minute technical deep dive about how you are simplifying data, analytics and AI challenges. Share your expertise with the largest gathering of data and AI professionals.
Please visit the Data + AI Summit 2023 website to learn more about this year's Call for Presentations.
Do you have an innovative story or a lakehouse case study to share? Have you built new features in popular open source technologies? How about tips and tricks, how-tos and best practices? If so, we want you on the Data + AI Summit stage. Submit today to share your expertise with the data community!
Please submit before January 13, for a chance to be featured at the global hybrid event.
- Data Lakehouse Architecture
- Data Governance
- Data Sharing
- Data Engineering
- Data Streaming
- DSML: Production ML/ MLOps
- DSML: ML use cases/ technologies
- Data Analytics, BI and Visualization
- Research
- Data Strategy
A maximum of 2 speakers will be accepted per presentation. You'll need to include the following information for each proposal:
- Proposed title
- Presentation overview
- Suggested themes and topics from above thematic categories
- Speaker(s): Biography, Headshot, and Mobile Number
- A video or a YouTube link of you speaking. If you don't have a previous talk, please record yourself explaining your suggested talk.
- Level of difficulty of your talk: Beginner (just getting started), Intermediate (familiar with concepts and implementations), and Advanced (expert)
Help us understand why your presentation is the right one for Summit. Please keep in mind that this event is for global data and AI professionals. All presentations and supporting materials must be respectful and inclusive. Here are some best practices to reference when writing your proposal:
- Be authentic: Your peers need original ideas in real-world scenarios and examples of how you've solved data challenges for your organization.
- Give your proposal a simple and straightforward title.
- Include as much detail about the presentation as possible.
- Keep proposals free of product, marketing or sales pitch.
- Improve the proposal's chances of acceptance by writing a jargon-free proposal with clear value for attendees.
- Keep the audience in mind: the majority are knowledgeable data practitioners and are already pretty smart.
- Limit the scope:
- In 40 minutes, you won't be able to cover 'everything about framework X'— instead, pick a useful aspect, a particular technique, or walk through a simple program.
- Your talk must be technical and show code snippets or some demonstration of working code.
- Explain why people should attend and what they'll take away from it from the session.
- Don't assume that your company's name buys you credibility. If you're talking about something important that you have specific knowledge of because of what your company does, spell that out in the description.
- Does your presentation have the participation of a woman, person of color, or member of another group often underrepresented at a tech conference? Diversity is one of the factors we seriously consider when reviewing proposals as we seek to broaden our speaker roster.
Please contact [email protected]