Data Discussions is a day of group conversations, birds of a feather, town hall style meetings, etc. No presentations. No slide desks. Just conversations - the stuff you can't do on YouTube.
This is a separate event from Data Day Texas, and will be held on Sunday, January 26, 10am-5pm.
Registration is open exclusively to Data Day Texas attendees, and to preserve the conversational nature of the event, will be limited to first 200 registrants.
Sunday Data Discussions!
We are now receiving discussion topics from speakers and attendees, and will publish them here. For the latest updates, follow Data Day Texas on Linkedin.
Hyperdimensional Horizons: Exploring Neuromorphic Intelligence and Graph Applications
Hosted by David Hughes and Amy Hodler
Join us for an interactive discussion of hyperdimensional computing (HDC) and neuromorphic cognitive computing. We'll explore the principles of HDC, its alignment with brain-inspired architectures, and its transformative potential in graph-based applications. From innovative data representation techniques to advanced use cases in cognitive analytics, HDC and neuromorphic cognitive computing has the potential to unlock new possibilities in computing at the intersection of artificial intelligence and neuroscience. Come with your questions, and be prepared to explore these concepts with colleagues and industry experts.
Navigating the Challenges of Deploying Generative AI in the Real World
Hosted by Clair Sullivan
Deploying generative AI applications in real-world environments comes with a unique set of challenges, requiring more than just traditional software development techniques.
Let's discuss the key steps for navigating this complex landscape, beginning with prompt engineering and an exploration of how to develop effective evaluation strategies for practical, production use cases to assess LLM performance, ensuring alignment with business objectives. Next, let's discuss the question of whether to fine-tune models to better fit specific use cases. We can also cover best practices for monitoring model performance over time, ensuring continued accuracy and reliability as models and tools evolve. Along the way, we’ll address the adaptation of traditional software engineering practices, such as unit testing, to generative AI applications.
AMA Session on Superintelligence
Hosted by Jonathan Mugan
Join Jonathan for an open discussion about what LLMs lack, what superintelligence will look like, and what it will take to get there.
Transforming Agentic Workflows and Tasks Using Graphs as Operational Models
Hosted by Amy Hodler and Prashanth Rao
Join us for a discussion to explore the transformative potential of graphs as operational models in AI.
We invite you to explore ideas together as we look at:
- The evolution of graphs from theoretical constructs to practical operational models.
- How graph structures enhance knowledge representation, reasoning, and task decomposition in AI systems.
- The integration of graphs with large language models and other AI technologies such as agents.
- Applications of graph-based operational models.
- Challenges and future directions in graph-based AI and inference processing.
This discussion will provide valuable insights for data scientists, software engineers, and anyone interested in the future of AI architectures and workflows. Attendees will gain a deeper understanding of how graphs are shaping the next generation of intelligent systems and processing techniques.
Whether you're a seasoned professional or new to the field, this discussion will offer fresh perspectives on leveraging graphs to create more efficient, interpretable, and powerful AI solutions. Join us for an engaging dialogue that bridges theory and practice in this rapidly evolving domain.
Freelancing Unlocked: Mastering the Art of Independent Data Science
Hosted by Clair Sullivan
Transitioning to freelancing in data science isn’t just about changing where you work; it’s about rethinking how you work, who you work with, and what success means to you. This roundtable discussion offers a unique space for aspiring and early-stage freelancers to explore the nuanced challenges and rewards of this path. We’ll discuss essential topics such as pricing models, how to build a diverse client portfolio for financial stability, strategies to avoid common freelancing pitfalls, and tips for building a brand that stands out. You’ll have the opportunity to ask questions, share experiences, and problem-solve alongside peers and seasoned freelancers alike.
Expect a candid exploration of issues like finding your first clients, navigating the learning curve of independent work, and managing multiple projects without burning out. We’ll also tackle practical matters like developing an efficient portfolio, handling unexpected client demands, and structuring your work-life balance to make freelancing sustainable in the long term. Bring your questions and concerns to this supportive, interactive session, and leave equipped with actionable strategies to build the freelance career you’ve envisioned.