Ash Ryan Arnwine, Ignacio Riesgo, Irina Gontcharova & Robert Thielicke
Decoding Trends: Strategies for Success in the Evolving Digital Domain
#1about 6 minutes
Cybersecurity is a foundational necessity not a passing trend
Security is a permanent priority that requires a zero trust mindset and developer ownership across the entire software development lifecycle.
#2about 2 minutes
Moving beyond the hype to personalize AI applications
AI will augment rather than replace developer jobs, with the most exciting potential lying in personalizing systems beyond generic queries.
#3about 4 minutes
Finding the business model and ROI for AI integration
AI monetization comes from integrating it as a commodity into existing products to drive innovation, similar to previous mobile and cloud transitions.
#4about 5 minutes
Leveraging private data with local and small AI models
Techniques like Retrieval-Augmented Generation (RAG) and running local models allow for the use of private data without compromising security.
#5about 6 minutes
Open source models ensure a competitive AI ecosystem
The AI landscape will feature a healthy coexistence of open and closed models, preventing a monopoly and promoting transparency and innovation.
#6about 3 minutes
The developer shortage is a continuous learning challenge
The perceived shortage of developers is actually a challenge of acquiring new talent and the constant need for existing developers to learn new technologies.
#7about 3 minutes
Fostering a developer-centric culture to drive innovation
Companies must shift to a "learn-it-all" culture, break down silos, and empower developers who are now at the core of business strategy.
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+3
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02:11 MIN
Future trends including AI and platform consolidation
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02:40 MIN
Defining the future of the modern developer role
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Final thoughts on the opportunities and risks of AI
Panel: How AI is changing the world of work
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