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Adaptive Computing, Inc. Target Audience
User Segments
Age: 48
Gender: Male
Occupation: CIO (Chief Information Officer)
Education: Master's Degree, Computer Science
Age: 42
Gender: Female
Occupation: HPC System Administrator
Education: Master's Degree, Information Systems
Age: 52
Gender: Male
Occupation: Research Lead, Financial Institution
Education: Doctorate Degree, Quantitative Finance
David Chen
Goals
- To significantly reduce operational costs associated with on-premise data centers by strategically leveraging cloud bursting solutions
- To ensure the organization's IT infrastructure can scale rapidly and efficiently to meet unpredictable computational demands for AI and ML projects
- To drive technological innovation within the company to maintain a competitive edge and support new business initiatives.
Pain Points
- Dealing with escalating costs and inefficient resource utilization of existing on-premise HPC infrastructure
- Struggling to quickly provision and de-provision computing resources, leading to project delays and missed opportunities
- Ensuring data security and compliance while expanding into hybrid cloud environments presents significant challenges.
Adaptive Computing, Inc. Geographic Distribution
Adaptive Computing primarily serves the US market (65%), with significant presence in the UK and Germany, reflecting global HPC demand.
Top Countries
United States
United Kingdom
Germany
Canada
Australia
Age Distribution
Key Insights
Primary age group concentration shows strong presence in:
31-35
Most active age range
Target Audience Socio-economic Profile
Users primarily come from high-income households with 3-4 members, reflecting their professional and financial standing.
Employment Status
Income Distribution
Education Level
Adaptive Computing, Inc. Behavior Analysis
Behavior Profile
Device Breakdown
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