Introduction to advertising and marketing technology on AWS
summary
AWS examples show concrete wins: Salesforce uses DynamoDB, Auto Scaling and Spot to cut costs by 62%, Merkle builds a privacy clean room with Redshift data sharing, FreeWheel moves to SageMaker Studio and frees 60% of data‑science effort while halving infra cost, Integral Ad Science handles 1–2M bids/sec at sub-10 millisecond latency, SparkPost rearchitects with Lambda, SQS and DynamoDB to cut cost per mille by 30% and analytics cost by 50%.
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chapters (15)
- 0:00Intro
- 0:43Customer challenges in advertising and marketing technology
- 2:27Amazon Web Services Unmatched cloud capabilities, solutions, and partnership opportunities for the advertising and marketing technology Industry
- 4:01More sizes and types of compute = more opportunities to optimize performance & cost
- 5:40Broad capabilities for advertising science and analytics
- 8:02More partnership opportunities & data agility from the most widely adopted cloud provider
- 10:21AWS advertising and marketing technology solution areas
- 10:32AWS for first-party data platforms
- 10:51Salesforce CDP unifies consumer data at exabyte scale on AWS
- 11:57AWS for data sharing and interoperability
- 12:57AWS for advertising intelligence
- 13:30FreeWheel, A Comcast Company uses Amazon SageMaker for ad inventory prediction
- 15:17AWS for advertising platforms
- 16:00Integral Ad Science goes all in on AWS to scale ad verification globally
- 17:10AWS for customer experience
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