Downloaded 17 times
Uploaded bySingleStore
Teaching Databases to Learn in the World of AI
The document discusses how databases need to learn and adapt like artificial intelligence in order to power real-time applications, highlighting that databases must be simple, capable of real-time processing, and adaptable by learning behaviors and making autonomous decisions. It also promotes MemSQL's vision of teaching databases to learn by consolidating infrastructure, enabling real-time queries on fresh data, and allowing both transactions and analytics workloads.
More Related Content
Similar to Teaching Databases to Learn in the World of AI
![[Redis Released]- FalkorDB - Redis + Graph Agentic Memory’s Secret Sauce](https://cdn.slidesharecdn.com/ss_thumbnails/redisreleased-falkordbslidedeck-1125-251115194922-e1c0046b-thumbnail.jpg?width=640&height=640&fit=bounds)
Teaching Databases to Learn in the World of AI
- 1. Teaching Databases toLearn in the World of AI Nikita Shamgunov, CEO, MemSQL 27 Sep 2017
- 2. Today, we are pushingthe limits to make applications more HUMAN
- 3.
- 4.
- 5.
- 6.
- 7.
- 8.
- 9.
- 10. SIMPLE 1. Consolidate Infrastructure 2.Close the Operational Gaps 3. Streamline Workflows
- 11. REAL-TIME 1. Scoring onIngest 2. Live Queries on Fresh Data 3. Extreme Performance
- 12. ADAPTABLE 1. Transactions ANDAnalytics 2. Learned Behavior 3. Make Decisions on Your Behalf
- 13.
- 15.
- 17.
- 18. Application Reference Store New Data MemSQL Spark Connector Real-TimeData Platform Spark
- 19. TECH SESSION Exploring Real-time Capabilitieswith Spark SQL 2:05pm | 1A 21/22
- 20. Application Reference Store Exactly-once Semantics Real-Time DataPlatform New Data
- 21. Building a Real-Time Feedback Loop forEducation 11:20am | 1A 04/05
- 22.
- 23. 23 AI in APPLICATIONS AIin SYSTEMS
- 24. NEW BOOK Grab acopy at the MemSQL booth!