In this episode of Some Goodness, the focus is on AI readiness and effective deployment in businesses. Host Richard Ellis interviews Ben Scoones, Director of Data Science at Kythera Labs, discussing research showing a gap between AI investment and meaningful integration.
Download the ebook Ben wrote with our Revenue Innovations team: https://www.revenueinnovations.com/AI-ebook
Key insights include understanding workflows, avoiding misconceptions about AI capabilities, and the importance of data and clear processes. Five practical applications of AI in go-to-market strategies are highlighted, such as improving efficiency, research, ideation, co-pilots, and democratizing skilled work. The episode wraps up with a discussion on the necessity of evaluating AI's output and a recommendation for the book 'Non-Computable You' by Robert Marks.
 
Chapters
00:00 AI Investment Trends and Challenges
00:49 Introduction to the Guest: Ben Scoones
01:35 Understanding AI Readiness
02:03 The Importance of Workflow in AI Integration
04:26 Common Misconceptions About AI
13:37 The Role of Data in AI Strategy
19:52 Practical AI Applications in Go-to-Market Strategies
27:04 Final Tips and Human Expertise in AI
28:49 Conclusion and Book Recommendation
 
Keywords
AI readiness, workflow mapping, process documentation, automation, generative AI, machine learning, LLMs, algorithmic thinking, predictive modeling, AI deployment, data strategy, data quality, training data, retrieval augmented generation, knowledge management, process optimization, documentation as code, AI integration, sales onboarding, tribal knowledge, go-to-market strategy, sales enablement, marketing automation, customer success, AI applications, research efficiency, ideation, co-pilots, democratizing skills, analytics assistants, skill gaps, MLOps, human validation, algorithmic limits, non-computable tasks, human expertise, philosophical AI, contextual intelligence, AI in business, workflow evaluation, AI experimentation, efficiency gains, AI ethics, machine learning operations.
 
Sound Bites
 


“AI may amplify our work, but only clarity makes it effective.”


“If you can’t define a person’s role well enough for them, why would you expect AI to do a good job with it?”


“AI is not the best solution for every problem. You have to make sure you’re applying it to the right problem.”

 

“An algorithm is just a series of steps for completing some task. A very simple everyday example of an algorithm is a recipe.”


“You can’t just prompt an LLM and say, ‘I want you to do this,’ and expect it to perform miracles. You have to construct those higher-order capabilities step by step.”


“Companies seeing the highest ROI from AI are those that mapped out their processes before automating.”


“Documentation as code...that idea of maintaining your knowledge base as carefully as your software has never been more important.”


“AI lets you democratize skilled work. You can focus on what to do with the information rather than how to retrieve it.”


“Someone’s got to decide what good looks like. That’s where the human expertise still matters.”

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