đšď¸ The AI Operations Manager
Hello! Adam Thornhill here. âThe Podcast Guyâ saving you 10 hours a week.
Enjoy the 15th Podup AI, with special thanks to ChatGPT Consulting.
Today, weâll dive into the best insights and ideas from The AI Breakdown.
Most people have heard of AI, but few are truly adopting it. Businesses need to move faster in translating AI for their teams and customers if they want to boost productivity and deliver memorable experiences. But hereâs the catch: is AI operations the answer?
New role within your team
Donât stop at prompt engineering. A skillset every forward-thinking company wishes they had is AI operations. This is using AI in systems, processes, and automations that can be used to help a business truly scale.
Rachel Woods
Why it matters
As AI continues to evolve, so do the roles within your team. One role that particularly stands out is the AI Operations Manager. They can act as the bridge between the old world and new world, helping employees take advantage of AI-powered software to dramatically improve their productivity.
By mastering skills like system design, task design, and dataset design, AI Operations Managers can solve challenging problems in innovative ways. Think of democratizing data analysis using Amazon Bedrock, or automating the majority of your customer service queries with Fin.
With that said, even the most advanced AI canât fix flawed operations. Youâd just be putting lipstick on a pig. The real value accrues when you rethink your operations from first principles. By leveraging AI, youâll be better positioned to adapt, innovate, and scale your business.
Next steps
Pause and reflect. Before you jump on the AI bandwagon, assess whether your operations are optimized. AI wonât fix a broken system.
Rethink roles. Donât immediately hire an AI Operations Manager. Consider training your existing operations team to adopt an AI-first mindset.
Start with the problem, not the tool. Identify the operational bottlenecks that AI can actually solve. Donât implement AI for AIâs sake.
Measure beyond KPIs. Look at the impact of AI on employee satisfaction, customer experience, and other âsoftâ metrics. Then learn, iterate, repeat.
Expect the unexpected. AI is not a silver bullet. Be prepared for unforeseen outcomes and use them as learning opportunities.
Editorâs note: Ask yourself âWhoâs responsible for rolling out AI at my company?â My bet: you canât confidently say a name. A missing piece of the puzzle for many businesses is fixing the lack of AI ownership and alignment among the C-suite (check out this BCG study for more stats). Address this issue first before anything else.
Your thoughts?
Thanks to ChatGPT Consulting for making this post possibleâŚ
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Quotes were pulled at different points of the episode. Sentences were left out to make the narrative more concise. Podup AI is not associated or affiliated with any podcast.