Besides publishing on this topic, I help companies with AI implementation and talent development.
Here are the top 5 challenges for AI adaptation that I come across:
🚩 Decentralized and Siloed Data: Information is highly fragmented and disorganized across various emails, spreadsheets, and unsynced databases. This lack of centralized, quality data is a fundamental barrier to AI.
🚩 Resistance to Change: A workplace culture where employees are accustomed to established methods creates significant inertia against adopting new technologies and processes.
🚩 Lack of Standardized Processes: An absence of standardized, repeatable, and documented business procedures creates inconsistent workflows, making it difficult to effectively integrate AI.
🚩 Talent and Skills Gaps: The workforce lacks sufficient technical skills and specialized AI expertise, which hinders the development, implementation, and adoption of AI systems.
🚩 High Costs and Unclear ROI: The significant investment required for AI, combined with the difficulty of clearly measuring its financial return, creates a major hurdle for securing funding and support.
This is great! I also see particularly talent gap and resistance to change as huge factors, especially in traditional long standing businesses and non profits.
I bet there's good opportunity in consultancies/agencies helping organizations implement AI changes that avoids all those issues. The agency could tackle everything and train people, recommend tools, and create systems to ensure min-maxed benefits and risks.
Ooohh fair enough. Probably not consultancies then, but more like agencies. Like a full package, AI implementation agency. The main goal being to stitch together technology and culture and help businesses become AI integrated.
Loving the bungee cord analogy! Even seasoned leaders need guardrails (like AI governance committees and security audits) to avoid predictable disasters. The tools work. It's the assumptions that fail. Great piece @Joel Salinas and @Jake Handy !
I think so may fail because it's just early. We're in the experimentation phase. I run a dozen experiments simultaneously and expect none to work ie become validated enough to get behind them. But every now & then POP 💥. One go bang! And I new company is created 📈 Living with failure as your friend is so important. Celebrate the failures. Reward the risk taking 💙
Yeah, I wish there was a bit more leniency with failure at larger corporations. Willingness to fail and iterate is a huge part (the most important part?) of why startups can leapfrog big companies
Besides publishing on this topic, I help companies with AI implementation and talent development.
Here are the top 5 challenges for AI adaptation that I come across:
🚩 Decentralized and Siloed Data: Information is highly fragmented and disorganized across various emails, spreadsheets, and unsynced databases. This lack of centralized, quality data is a fundamental barrier to AI.
🚩 Resistance to Change: A workplace culture where employees are accustomed to established methods creates significant inertia against adopting new technologies and processes.
🚩 Lack of Standardized Processes: An absence of standardized, repeatable, and documented business procedures creates inconsistent workflows, making it difficult to effectively integrate AI.
🚩 Talent and Skills Gaps: The workforce lacks sufficient technical skills and specialized AI expertise, which hinders the development, implementation, and adoption of AI systems.
🚩 High Costs and Unclear ROI: The significant investment required for AI, combined with the difficulty of clearly measuring its financial return, creates a major hurdle for securing funding and support.
This is great! I also see particularly talent gap and resistance to change as huge factors, especially in traditional long standing businesses and non profits.
Just ran accross this again, Kamil. Interested in expanding on this with your 5 challenges above in a collab? Not sure if you do collabs
I bet there's good opportunity in consultancies/agencies helping organizations implement AI changes that avoids all those issues. The agency could tackle everything and train people, recommend tools, and create systems to ensure min-maxed benefits and risks.
It’a tricky to convince smaller companies to go for consultancies (rightfully so), and larger companies will almost always go the McKinsey route
Tricky to break in. Most consultancies are money wasters so it’s not surprising
Ooohh fair enough. Probably not consultancies then, but more like agencies. Like a full package, AI implementation agency. The main goal being to stitch together technology and culture and help businesses become AI integrated.
Yes, there is! And demand will only rise. Something I'm keeping in the back of my head :)
orrr bring it forward and … launch a startup :D
im launching two, let's do this thirs one together late Fall ;)
*let's do this third one...
Hah! I'm game! 💪
✨😎🤩
Loving the bungee cord analogy! Even seasoned leaders need guardrails (like AI governance committees and security audits) to avoid predictable disasters. The tools work. It's the assumptions that fail. Great piece @Joel Salinas and @Jake Handy !
Thank you!! Well said :)
I think so may fail because it's just early. We're in the experimentation phase. I run a dozen experiments simultaneously and expect none to work ie become validated enough to get behind them. But every now & then POP 💥. One go bang! And I new company is created 📈 Living with failure as your friend is so important. Celebrate the failures. Reward the risk taking 💙
Yeah, I wish there was a bit more leniency with failure at larger corporations. Willingness to fail and iterate is a huge part (the most important part?) of why startups can leapfrog big companies
Celebrate failures and learning from them, that's such a huge part of the game.