Sponsored Solutions Track IV

From this track


Designing AI Agents with System Thinking

Wednesday Oct 4 / 10:35AM PDT

AI agents are a perfect fit for serverless environments, as they can leverage the power of the cloud and the edge for fast and accurate decision making.  It is often the case that AI applications do not require the costly vector database and compute solutions which are often used today, to s

Speaker image - Logan Grasby

Logan Grasby

Founder @Azule.ai


Can’t Apps and Databases All Just Get Along?

Wednesday Oct 4 / 11:45AM PDT

Availability is a tricky thing. In order for your tier 0 endpoints to be available all their hard dependencies have to be available. For Stytch that means basically network, compute, database, and messaging providers.

Speaker image - Joshua Hight

Joshua Hight

Software Engineer @Stytch


Introduction to Real-Time Training and Scoring in AI/ML

Wednesday Oct 4 / 01:35PM PDT

In the rapidly evolving landscape of AI/ML, the shift from batch to real-time data processing is significant. It impacts how quickly and dynamically we can learn from data, leading to more responsive AI applications.

Speaker image - Wes Wagner

Wes Wagner

Solutions Engineer @Redpanda


Simple Platform Engineering and Simply High Cardinality Observability

Wednesday Oct 4 / 02:45PM PDT

Platform engineering transforms repetitive Engineering requirements into standardised and dependable services, or "paved roads". These paved roads offer engineering teams a smooth way to develop and deploy business logic layers continuously.

Speaker image - Piyush  Verma

Piyush Verma

Co-Founder and CTO @Last9


LLMs + Knowledge Graphs = Better Together

Wednesday Oct 4 / 03:55PM PDT

LLMs are often like the know-it-all at a bar - they can quickly and confidently produce realistic sounding answers to just about any question - even if the answers are complete fabrications.

Speaker image - Mark Quinsland

Mark Quinsland

Senior Field Engineer @Neo4j


Wednesday Oct 4 / 09:00AM PDT