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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.
SHOW: 783
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"
SHOW SPONSORS:
SHOW NOTES:
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?
FEEDBACK?
By Massive Studios4.6
147147 ratings
Aaron and Brian talk to Mark Hinkle (@mrhinkle, Founder @peripety_labs) about enabling AI to drive personal productivity, AI experimentation and AIOps soft skills.
SHOW: 783
CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotw
NEW TO CLOUD? CHECK OUT - "CLOUDCAST BASICS"
SHOW SPONSORS:
SHOW NOTES:
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?
FEEDBACK?

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