Sri Varadarajan
Employers on the program
- 2026BMC1 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
- Big Data LDN
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 23, 2026 | Big Data LDN 2026 | Big Data LDN | speaker | Your AI Is Only as Trustworthy as the Data and Context Beneath It as BMC Software Enterprise AI projects rarely fail because the model is not sophisticated enough. More often, the problem lies beneath it: stale or unreliable data, fragmented…Show lessEnterprise AI projects rarely fail because the model is not sophisticated enough. More often, the problem lies beneath it: stale or unreliable data, fragmented pipelines, limited visibility, and missing business context. As organizations move from AI experimentation to autonomous agents making decisions on live data, those weaknesses become more than an inconvenience. They become a liability. In this session, learn what it takes to build a trusted foundation for enterprise AI through reliable data pipelines, end-to-end observability, meaningful context, and strong governance. Because before you can trust AI to act, you have to trust the data guiding its decisions. |
Frequent co-speakers
No one else spoke at two or more of the same events.
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.