Episode #14 of the Data Center Go-to-Market Podcast features an interview with Joaquin (Jack) Fagundo.
- Understand different career paths in the data center industry and how to immerse yourself in data center technology
- Learn advice for understanding data center operations holistically from the infrastructure level up to applications
- Discover tips for future-proofing your career through lifelong learning and specializing in emerging technologies like AI
- Gain insight into opportunities for third-party companies working with hyperscalers in areas like consulting services
- Learn how AI is impacting roles within data centers and how to partner with AI instead of resisting change
- Find out how AI tools are enhancing productivity and changing how people search for information
- Understand perspectives on AI adoption and how security, trust, and ethical implications may evolve over time
- Explore predictions for the growth of cloud computing and data center infrastructure driven by AI and application requirements
Host:
Joshua Feinberg, CEO
DCSMI
Special Guest:
Joaquin (Jack) Fagundo
Joshua Feinberg and Jack Fagundo discussed the future of data centers, with Jack highlighting the growing demand for cloud computing and AI. Jack emphasized the importance of cloud providers investing in data center expansion and security. Later, Joshua and Jack discussed the role of third-party companies in developing and deploying AI technology, acknowledging potential risks but remaining optimistic about the future. Overall, the conversation focused on trends, growth, and innovation in the data center and AI industries.
Action Items
- Consider focusing on understanding concepts like network security, power and cooling infrastructure, and applications in data centers.
- Stay plugged into emerging technologies and consistently upskill yourself in areas like AI, generative AI, and machine learning models. (for others mid-career)
- Look at job postings from companies like Google and Microsoft to see trends indicating growth and opportunities in the data center industry. (Anyone interested in the industry)
Outline
Data center operations, infrastructure, and management.
- Jack Fagundo shares his career path
- Speaker's career evolved from robotics to data center infrastructure, with a focus on applications.
Data center operations and career advice.
- Jack: Immerse yourself in technology to understand data center operations.
- Jack: From environmental to racking, understand data center holistically.
- Jack advises understanding data center operations for customer-facing roles, such as sales or product management.
- Joshua Feinberg agrees, emphasizing the importance of consulting skills for adding value in data center roles.
Career development and partnerships in the data center ecosystem.
- Stay relevant by embracing lifelong learning and specializing in AI-related roles.
- Jack emphasizes the importance of upskilling in AI to stay relevant in the job market.
- The speaker sees the biggest opportunities for third-party companies in hyperscaler ecosystems as niche firms that quickly ramp up practices around market demand.
- Integrators play a critical role in deploying and executing technology for large software companies like Google, leveraging exclusive partnerships to deliver services.
AI's impact on data center industry roles.
- Jack predicts AI will change data center industry roles, shifting tasks to higher skill levels.
- Jack advises following trends to future-proof skills and avoiding legacy projects.
- The speaker agrees that AI is the future, but disagrees that it's a one-size-fits-all model.
- The speaker believes that AI has brought relevance to the market, but it's important to stay relevant and upskill in AI.
AI's impact on productivity, with emphasis on chatbots and search engines.
- AI adoption can replace marketers and accountants who resist change while augmenting those who partner with AI.
- Jack mentions ChatGPT 5.0 and how it's becoming more intelligent and easier to use.
- Jack shares his experience of using chatbots for search and how they're more accurate and faster than traditional search engines.
AI adoption, security, and trust.
- Joshua Feinberg and Jack discuss the potential for AI models to become commoditized and integrated into daily life.
- They believe that enterprise offerings will address security and compliance concerns, and people will pay for these services.
- Jack predicts AI will become ubiquitous, raising concerns about data privacy and security.
- Jack believes AI will become more mainstream, but customers will still have concerns about its safety and ethical implications.
Data center growth, cloud adoption, and AI requirements.
- Jack predicts increased demand for data centers as AI and cloud computing grow.
- Jack believes companies will shift focus from building assets to optimizing business models.
- Jack discusses the benefits of cloud computing for businesses, including cost savings and increased security.
- Jack shares his experience in the data center industry and provides insights on job postings and leading indicators.
Guest Resources
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