Oana Olteanu

Partner, SignalFire

Oana is an ML engineer with operating experience in enterprise software and investment experience at the Seed, Series A and Series B stages. She is currently a Partner at SignalFire strengthening their technology portfolio with a focus on seachange technologies across the software stack. Prior to VC, Oana worked at SAP where she contributed to the development of the backend systems used by SAP for its solution portfolio. She also developed assessment frameworks and evaluated requests for funding from more than 70 product teams, across different stages of the life cycle. Oana received a BS in Computer Science with a specialization in Machine Learning from Jacobs University and an MS in Computer Science and Business with specialization in Machine-to-Machine Platforms from Mannheim University.

Oana Olteanu

Sessions / 2022 / 1 talk

  • Data infrastructure as a category is booming with the global market expected to exceed $100B by 2027 reflecting 200% growth since 2020. We’re also seeing an explosion of data itself, with total data produced expected to top 175 Zettabytes in the next 4 years; that’s up 350% from 2020 numbers. As a community, we’re also seeing a proliferation of data infrastructure options across both the traditional analytics stack as well as in innovative ML tooling and platforms. Data is hot, and data tooling of all kinds is even hotter. But how are we to make sense of these new data tools and new categories of tools? How should we be thinking about the modern data stack when it comes to cloud & hosted options vs. OSS and self-hosted infra? Which tools and categories of tools play together nicely, and where might we start to see consolidation across the stack? For the Next Big Opportunities in Data Infrastructure panel, we’re joined by 4 top investors who look at data infrastructure tools every day. They’ll share with us their mental models of the space and insights into how they make investment decisions across the expanding data infrastructure landscape. Founders and practitioners alike will benefit from their insights on which categories are here to stay and which are yet to be proven. Join us for a lively discussion on where the future opportunities of data infra are and where these experts think the field is headed next.

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