Director of Information Security Operations in Consumer Goods, 1,001 - 5,000 employees
Depending on the technology on who is leading the IT..😄 Director of Information Security Operations in Consumer Goods, 1,001 - 5,000 employees
And same thing for the IS in this company Senior Security and Compliance Auditor in Software, 1,001 - 5,000 employees
In my experience, slow adoption is usually driven by a sluggish company culture and not industry category or even company size. I would say that Government is slow due to all the bureaucracy that needs to be satisfied and Healthcare goes even slower in favor of profits over innovation (at least the IT side of things).Group Chief Information Officer in Construction, 5,001 - 10,000 employees
I believe it all related to the leadership and C-suit maturity and background VP of Global IT and Cybersecurity in Manufacturing, 501 - 1,000 employees
Agree with feedback, in my experience the slow adoption was not related to the industry, it was the business itself and perhaps for a variety of reasons. I have worked in both healthcare and automotive organizations, business leadership (includes head of IT) and overall company culture set the pace, not the industry itself. Â
Chief Cloud Officer in Software, Self-employed
I do agree with most that it is about company culture and need more than industry. I will throw this in also. The amount of regulation seems to drive the adaption of new technologies. I work in mostly financial services, insurance, and healthcare and they seem to adapt new technology faster as they must meet additional regulations and/or controls. I call this an external influencer.Chief Information Officer in Manufacturing, 10,001+ employees
I would say that Higher Eduction is typically slow to adopt technology which is usually based on budget constraints. Head of Product & Software Development in Construction, 11 - 50 employees
In my opinion, I think it's the construction industry.Director - Transformation in Software, 1,001 - 5,000 employees
Any industry that is capital intensive, in the public sector or deals with regulated workflows(construction, manufacturing, oil and gas, transportation, healthcare) will generally be resistant to adopting new tech. These industries look at tech as cost cutting and efficiency improvement levers rather than strategic investments. This is changing in the transportation and manufacturing sectors lately thanks to the likes of Uber and Tesla. CIO in Hardware, 1,001 - 5,000 employees
It all depends on the leadership.. The industries which were considered thoroughly traditional are doing more in technology than the so called new age organizations..Content you might like
We lack AI governance policies23%
We’re banned from using these tools37%
Our staff and/or leadership are resistant41%
We have concerns about the results being generated45%
We have third-party security and risk concerns27%
We don’t trust current vendors5%
Other3%
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Chief Data Officer in Travel and Hospitality, Self-employed
Data & AnalyticsCTO in Software, 201 - 500 employees
Without a doubt - Technical Debt! It's a ball and chain that creates an ever increasing drag on any organization, stifles innovation, and prevents transformation.CEO in Services (non-Government), Self-employed
Using AI tools 2-3 a week. Use cases:Â -summaries of contentÂ
-slide outlines
-abstracts
-citations.Â
-Beauti.Ai for slide preparation
-Chat GPT 4
-Styluschat
<6 months8%
6-12 months55%
12-18 months24%
18-24 months6%
>24 months5%
697 PARTICIPANTS