Getting more value from data
summary
How financial organizations can break down data silos and extract more value using AWS: the talk covers AWS services for secure, scalable data storage, management, analytics and interpretation for big data workloads, how to use the AWS data partner ecosystem across the data-value chain, and the application of AI/ML technologies on AWS to build sophisticated data-driven applications.
AI-written summary · about
chapters (8)
- 0:00Data value introduction
- 4:46Data lake challenges and solutions
- 12:35AWS data movement
- 16:49Data storage and governance
- 19:17Data analytics and visualization
- 23:33Machine learning use cases
- 28:08Professional solutions and partners
- 29:57Closing
related talks
24mTurning Data into Insight
29mHow financial services companies derive greater value from data with AWS
29mGrowing insights through hybrid data architectures
42mHarness the power of AWS to build applications
15mHow AI and ML unlock insights for financial services teams
42mModern Data Strategy on AWS
49mBuild modern data architecture and data mesh patterns on AWS
25mreveals Its Data Stack with Partner Solutions