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Making Data Simple
Cracking the AI Code: ROI, Challenges, and Insights with Luke Arrigoni | Part 2
Aug 24, 2023
Luke Arrigoni, Chief Executive Officer at Arricor, discusses the challenges of building functional AI models, the importance of cost-effective AI systems, tailored solutions to avoid bias, the future of AI, the impact of the pandemic on businesses, the importance of trust and non-bias in AI models, and the significance of role models and mentors.
24:08
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Quick takeaways
- Building cost-effective and practical AI systems is crucial for successful implementation and profitability.
- To overcome the trust barrier, companies must frame AI issues appropriately, identify specific problems, and evaluate potential benefits and risks.
Deep dives
The Common Enterprise Problem: Taking AI Models to Production
One of the main challenges in the AI industry is that companies often struggle to take their AI models into production. While impressive models are being built, the transition to production becomes a practical problem that leads to financial losses. Companies like Microsoft are spending substantial amounts of money hosting models like GPT, which is not feasible for everyone. The key is to build systems that are cost-effective while still being practical and useful for the industry. Luke Aragani's team at Ericor focuses on making advanced models practical and profitable by solving real problems without excessive spending.
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Discover
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