2024 Look Ahead - Using AI to Enable Personal Productivity
Jan 3, 2024
Guest Mark Hinkle talks about using AI to drive personal productivity, AI experimentation, and AIOps soft skills. They discuss the potential of AI for businesses, automating mundane tasks, and the future of AI in 2024.
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Mark's Year Of Rapid Gen AI Learning
Mark Hinkle pivoted from cloud/open source roles to focus full-time on AI after chat interfaces made models practical.
He notes a year's hands-on gen‑AI experience now feels like a decade of learning in previous eras.
insights INSIGHT
Generative AI Drives Immediate Productivity Gains
AI delivers large productivity gains now, especially in sales, marketing, software development, and R&D.
Mark Hinkle reports being three to four times more productive after adopting generative AI tools and aims for 10x on specific tasks.
insights INSIGHT
Middleware Made Practical Retrieval Augmented Generation
Middleware projects like LangChain and LlamaIndex transformed building AI apps by enabling retrieval and orchestration.
Hinkle cites them as foundational for creating RAG pipelines and combining model outputs with private data.
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Aaron and Brian talk to Mark Hinkle (@mrhinkle, Founder @peripety_labs) about enabling AI to drive personal productivity, AI experimentation and AIOps soft skills.
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Topic 1 - Welcome back to the show. Give our audience a little bit of your background and what you focus on now with Peripety Labs?
Topic 2 - If you’re a business leader today, where are you focusing your priorities in terms of taking advantage of AI to improve the business?
Topic 3 - If you’re a knowledge worker today, where are you focusing your priorities in terms of taking advantage of AI to improve your job?
Topic 4 - What’s a good way to think about experimentation with AI vs. trying to start measuring results now? Any tips to help companies or workers accelerate their learning curves?
Topic 5 - What are some of the biggest misconceptions you’re seeing across the industry right now around AI? Concerns, fears, anti-patterns, etc.
Topic 6 - We’re learned over many years (and technology trends) that the most successful ones align technology and people/culture/organization. What are the AI alignments of people and technology that are most needed?
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