Alicia Trent
Employers on the program
- 2021–2025Amazon Web Services3 talks
- 2022Digital Transformation1 talk
The year around now
Talks in the past 12 months and announced talks ahead, one row per conference, January to December. Hover a mark for the talk.
Appearances by year
- AWS re:Invent
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Dec 1, 2025 | AWS re:Invent 2025 | AWS re:Invent | breakout | Deploy Quick Suite at scale with confidence and control as AWS Learn how enterprise deployment strategies enable Quick Suite scale while maintaining security and operational excellence. | Video |
| Dec 2, 2024 | AWS re:Invent 2024 | AWS re:Invent | breakout | How Principal Financial improved productivity with Amazon Q Business as AWS Delivering an exceptional customer experience is crucial for businesses to succeed in today’s competitive landscape. In this session, Principal Financial shares…Show lessDelivering an exceptional customer experience is crucial for businesses to succeed in today’s competitive landscape. In this session, Principal Financial shares its transformative journey leveraging the powerful capabilities of Amazon Q Business. | Video |
| Nov 28, 2022 | AWS re:Invent 2022 | AWS re:Invent | breakout | Improve uptime with predictive maintenance for industrial equipment as Digital Transformation Predictive maintenance is an effective way to avoid industrial machinery failures and expensive downtime by proactively monitoring the condition of your…Show lessPredictive maintenance is an effective way to avoid industrial machinery failures and expensive downtime by proactively monitoring the condition of your equipment so that you can be alerted to any anomalies before equipment failures occur. However, this technology has historically been difficult to implement. | SlidesVideo |
| Nov 29, 2021 | AWS re:Invent 2021 | AWS re:Invent | chalk talk | Implement predictive maintenance for industrial equipment [REPEAT] as Sr. Specialist, AWS AI Successfully implementing predictive maintenance requires using the data from your machine sensors under your unique operating conditions and applying machine…Show lessSuccessfully implementing predictive maintenance requires using the data from your machine sensors under your unique operating conditions and applying machine learning to get accurate predictions about potential machine failures. In this chalk talk, walk through a full end-to-end predictive maintenance model using Amazon Lookout for Equipment, an industrial equipment-monitoring service that... | Slides |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Aarthi Raju | 4 | — | 2025 |
| Abhi Khanna | 4 | — | 2025 |
| Adam Hill | 4 | — | 2025 |
| Adnan Bilwani | 4 | — | 2025 |
| Alan Halachmi | 4 | — | 2025 |
| Alex DeBrie | 4 | — | 2025 |
| Alex Kestner | 4 | — | 2025 |
| Alexandra Huides | 4 | — | 2025 |
| Ali Saidi | 4 | — | 2025 |
| Amit Kumar | 4 | — | 2025 |
| Amit Shah | 4 | — | 2025 |
| Ana Cunha | 4 | — | 2025 |
| Andrew Baird | 4 | — | 2025 |
| Andrew Crudge | 4 | — | 2025 |
| Andrew Kane | 4 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.