We are inundated with discussions on new AI tools and other innovations, how much has it affected your internal strategy and planning processes? Particularly when it comes to digital transformation already in place?
Very positive15%
Some positive65%
No affect16%
Some negative2%
Very Negative0%
You certainly are not alone. The issue however, is not only "we need to figure this out yesterday" is we don't know what we don't know when it comes to the AI coding (such as CHAT GPT must have an answer therefore essentially lies when it doesnt have access to the need data) and what databases are being used , etc
I am certainly a proponent of AI, however, this is a good approach as just because we can use AI, doesnt mean we should use AI (and I speak as a Digital Transformation consultant who drives some clients crazy who want this new toy, but no business case for it)
I couldn't agree with you more , "we" need to understand that technology, in any form, needs to be understood as an enabler not a solution in itself
Even digital giants and leading creators of generative AI are feeling the panic and pressure of technology running away from them. A variant to this poll would be, "How much has it affected your strategy and operations." With some of the options being:
"We threw out the book and are engaged in how to make AI positioning, AI probing, AI sense making, and AI automation the core of our strategic respondoing."
"We are ignoring. We have a 3 year plan."
"We are still going along, fully aware the world has changed in the last 5 years, but struggle with the implications for the next 5 years."
Great insight on this topic Paul. As discussed in this thread, technology is an enabler, not a solution in itself. AI is very much in that world where it needs to be understood as an enabler, thereby needing to do the analysis on how this helps enable customers, the business etc ... Thanks for sharing
For me in Finance there are key functions that can be automated, for efficiency, cost reduction and additional checks for risk and compliance.
What used to take weeks ... filled with a lot of assumptions ... is now compressed into hours and a few days.
When it comes to the discussion about accuracy, it's not a roadblock because ultimately if buyers are captivated by the content ... whether AI-generated or human-generated ... they'll engage.
Engagement metrics reveal whether or not the messaging has triggered an emotional response.
When you launch and learn the market will tell you if what you launched strikes oil or falls on deaf ears.
What's cool is that AI can provide actionable feedback about the content that's 'clicking' with an audience, which informs sellers about the topics to accelerate.
AI will help many sellers to stop talking about what they think buyers want to hear ... and shift into joining the conversation already going through a buyer's mind.
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Slow recovery response times34%
Data availability is limited49%
Too expensive to scale effectively52%
Difficult to manage for widespread use37%
Prone to misconfiguration12%
No - There are no drawbacks7%
Predict the future: The majority of data-driven business decisions will be automated within the next
Year6%
5 years52%
10 years27%
15 years9%
20 years3%
>20 years1%
Never2%
No question, the type and nature of business is a huge factor, particularly in these early days. Which is why, when I post and comment on the results, I do parsing between all industries and specific industries. But again, to your point, these are extremely early days and though we can see how some businesses as starting to use AI tools, I think even a year from now, we will see utilizations we don't see today. Very mcuh in the vein that we don't know what we don't know