When you evaluate AI software vendors, what is your top priority (aside from cost)?
A history of AI development4%
Integration capability28%
Model performance and accuracy36%
Data privacy and security features23%
Scalability7%
Other - write in comments1%
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We’re evaluating a new ERP. Our company, PROENERGY is a vertically integrated power partner (gas plant design/build, O&M, manufacturing including our PE6000 turbine, and 2.6 GW ERCOT operations).
Considering: SAP Public Cloud, Oracle Fusion Cloud, Microsoft Dynamics, IFS, and Infor Construction Cloud.
Key needs: manufacturing, complex structure with built-in consolidation/reporting, long-range planning, procurement/inventory, and core accounting.
We use Microsoft Dynamics today for CRM/Field Service. Biggest concerns: implementation partners and support resources.
Would love your thoughts.
Who are the biggest proponents of using AI software engineering agents in your organization? Pick all that apply.
CEO21%
CIO41%
CTO32%
Software department leadership 29%
Team leads28%
Software engineers/developers24%
Someone else (comment to share)3%
N/A — no plans to use AI agents for software engineering1%
What are key ways in which your organization should hire affordable AI and data science talent? Check all that apply.
Recruit talent from diverse or non-traditional backgrounds (e.g. different degrees, institutions, or work experience)34%
Recruit less experienced AI talent with a high aptitude to learn 48%
Communicate the intrinsic benefits of the role (e.g., mission, culture, resources, opportunity for impact) 27%
Build talent pipelines through partnerships with academia and professional societies46%
Hire and upskill internal talent51%
Use specialized AI recruitment agencies11%
Other (please share details in comments)3%
OK, I chose other because AI is a general purpose technology, but procurement and architectural alignment principles don't change. I am not surprised to see model performance and accuracy as top in the rankings, followed closely by model performance and accuracy (which is akin to architectural fit). Surely I agree these are important. But business is business and procurement is procurement and whether I am focusing on brake sensors in a car or an AI driven vision system, the basic principles don't change!
If I were buying paint, certainly chemical formulation and practical adhesion tests would be at the top of my TQM strategic sourcing matrix. But I wouldn't buy paint or AI any differently. That's the point. Ignore the hype and treat AI like a general purpose technology for the development of a strategic asset.