SingleStore Now 2024
2024-10-03
San Francisco, United States
| title | author | length |
|---|---|---|
| What’s New in SingleStore: AI in Production | Matt Newman | 08m |
Workfront runs analytics on 10 billion records across ~250 tables and tens of databases, consolidating from Postgres and Elasticsearch into SingleStore… | ||
| Better Together | Unmesh Jagtap | 19m |
Demonstrates a concrete integration: a SingleStore native app running inside Snowpark Container Services that uses SingleStore pipelines, Kafka connectors and… | ||
| AI Trends, and Running LLMs in the Enterprise | Jose Menendez | 15m |
Groq presents a purpose-built chip for low-latency inference called Groq LPU and claims throughput breakthroughs versus GPUs — live demo shows ~1,200… | ||
| Building Multi-Agent RAG Systems | Jerry Liu | 32m |
Argues that production-grade knowledge assistants need four concrete layers: high-quality parsing and retrieval (not naive 512-token chunking), agentic… | ||
| AI | Deepak Rangarao | 20m |
IBM now owns StreamSets which supplies near‑real‑time pipelines that ingest at scale, auto‑adapt to schema and data drift so pipelines don’t need manual… | ||
| Enterprise AI at Scale | Thomas Roehm | 27m |
SAS describes concrete deployments: a northern European tax authority lowers fraud by over 650 million pounds and raises tax revenue by 7 billion pounds using… | ||
| Enterprise AI Innovation: Gen AI Experimentation | Anand Desikan | 16m |
Just announced strategic collaboration between SingleStore and AWS enables production generative AI workflows using Amazon Bedrock agents and SingleStore… | ||
| AI- and Data-Driven Sales | Mitra Saab | 22m |
Outreach explains a stack that moves from sequence-based sales automation to conversation intelligence and agentic AI, using RAG and vector DBs to fine-tune… | ||
| AI in Production: Lessons Learned | Premal J Shah | 17m |
6sense consolidates legacy Hive Spark and HBase pipelines into SingleStore to serve tens of terabytes with 27 months retention and subsecond account queries… | ||
| AI-Powered Brand Safety | Hyeongjun Park | 10m |
Startup builds an AI brand-safety engine that links into Google Ads/YouTube, runs video-understanding models to block sensitive contexts and surface… | ||
| Building the World’s Largest Identity Graph without a Graph DB | Dr. Kannan | 25m |
A production identity graph replaces a separate graph DB by running joins on SingleStore backed by GCS/S3 object storage, using domain partitioning and… | ||
| Recap | 02m | |
CEO keynote claims platform acceleration will reshape enterprises within 1–2 years, conference gathers 200+ AI experts, and sessions show live demos of… | ||
| Building a Real-Time NBA Analytics App | Rohit Bhamidipati | 11m |
A real time NBA analytics app streams a clip of Game 7 2016 Warriors vs Cavaliers, sends video frames every second into Groq realtime LLM which emits live… | ||
| Building the World’s Largest Identity Graph | Kannan Dorairaj | 25m |
LiveRamp uses SingleStore plus object store (GCS/S3) to build an identity graph that operates at 100 petabytes of data by domain partitioning and ephemeral… | ||
| Real-Time Data Integration | Deepak Rangarao | 20m |
StreamSets integrates with SingleStore and watsonx to provide near-real-time ingestion that scales horizontally, pipelines that claim automatic schema‑drift… | ||
| Fireside Chat: AI-Powered Brand Safety | Hyeongjun Park | 10m |
Pyler Systems deploys an AI defense that links to Google Ads/YouTube, runs video‑understanding models to block sensitive contexts and surface tightly relevant… | ||
| Building an Advanced Knowledge Assistant | Jerry Liu | 32m |
Explains a concrete stack: use a better parser (LlamaParse) to convert PDFs PowerPoints Excel into semantically coherent chunks, store text and images for… | ||
| Enterprise AI at Scale: Success Stories and Insights | Thomas Roehm | 27m |
Shows concrete enterprise wins: a Northern European tax authority cuts fraud by over £650M and adds £7B in revenue; Georgia‑Pacific runs 15,000 models across… | ||
| Fireside Chat: AI and Data-Driven Sales | Abhijit Mitra | 22m |
Outreach runs KAA (knowledge AI assistant) to decode voice and video intent in <5 milliseconds, stores call records in SingleStore, and combines RAG, vector… | ||
| AI Trends: Insights | Jose Menendez | 15m |
Groq positions a purpose‑built LPU for inference that targets low‑latency LLM serving and claims independent benchmarks showing up to 3,000 tokens/sec (demo… | ||
| AI in Production: Key Lessons | Premal J Shah | 17m |
Sixsense runs tens of terabytes with ~27 months of history and a Spark + homegrown ML stack and reports lower TCO after consolidating onto SingleStore. Built… | ||
| Enterprise AI Innovation: GenAI Experimentation | Anand Desikhan | 16m |
Announcement of a strategic collaboration between AWS and SingleStore enables a demoed pipeline that ingests streaming and historical data, runs retrieval… | ||
| Snowpark & SingleStore: A Seamless Integration Demo | unmh jagtap | 19m |
Integration shows Snowflake + SingleStore running side‑by‑side: an installed SingleStore native app inside Snowpark container services reads Iceberg tables… | ||
| What’s New at SingleStore: The Latest Innovations | Dave Eyler, Micah Bhakti, Thilak Dasarathan | 52m |
SingleStore announces concrete performance and product wins: more than 20% of Helios customers run VSearch with sub‑20ms responses, some customers see 10×… | ||
| Natively Engineered for AI: The Evolution | Raj Verma | 43m |
SingleStore traces a concrete engineering path from MemSQL to a multimodel engine: row store plus column store introduced 2016, vectors added 2017, patented… | ||
| nothing matches | ||