#organizational-readiness

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Artificial intelligence
fromTheregister
9 hours ago

AI still doesn't work very well in business, reckoning soon

Enterprise organizations lack clear AI strategies and reference architectures, requiring experimentation and feedback loops to understand AI's actual capabilities and limitations before full deployment.
fromMarTech
1 week ago

Why most marketers are still only experimenting with AI | MarTech

According to the report, more than 80% of marketers say they feel pressure to introduce AI into their workflows. Yet only 6% say AI is fully embedded in their day-to-day operations. Most teams remain in the experimentation phase rather than using AI as part of core marketing processes.
Marketing tech
fromTheregister
2 weeks ago

Execs love AI, just not enough to pay for user training

Only 38 percent have a dedicated budget for investing in AI development and are struggling to embed the tech into core business processes. Almost every executive surveyed claimed they are developing AI skills in their staff, but the report says most organizations rely on informal or ad hoc approaches such as mentorship or self‐directed online courses.
Artificial intelligence
fromNonprofit Quarterly | Civic News. Empowering Nonprofits. Advancing Justice.
3 months ago

Reconciling Future-Back and Present-Forward in Strategy | Nonprofit Quarterly | Civic News. Empowering Nonprofits. Advancing Justice.

I can imagine where you might be coming from with this question. Like so many of us, you may have seen strategy processes consumed by envisioning what could be, heavy on big-picture vision but light on what it might take to get there. The resulting strategies can struggle to offer practical guidance. On the flip side, I have also seen strategy processes cling too tightly to what we're comfortable committing to, inadvertently reinforcing organizational inertia.
Non-profit organizations
#ai-adoption
Marketing tech
fromMarTech
8 months ago

CMOs, CEOs and marketers are all struggling with martech data issues | MarTech

Organizations are facing widespread challenges in data integration and maturity despite ongoing digital transformation efforts.
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