การประเมินสมรรถนะ CIO: บริบท AI

🔒 Confidentiality Notice

All information provided in this survey will be kept strictly confidential and used for research purposes only. Your responses will be anonymized and aggregated with other participants' data. No individual or company-specific information will be disclosed without explicit permission.

📋 Instructions

For each of the 10 Dimensions, select the Level (1–5) that best describes your current actual performance and the maturity of your organization's AI adoption.

Section 1: Background and role in AI

1. What is your current job title?

CIO CDO CTO IT Director Other (please specify)

2. Does your role formally include responsibility for AI or data/analytics?

Yes, explicitly (e.g., AI/Analytics in job description or title) Yes, implicitly (AI is part of broader digital/IT responsibilities) No, AI responsibility lies elsewhere

3. How would you describe your role in your organization's AI agenda?

Primary leader for AI strategy and execution Co-leader with another executive (e.g., CDO, CTO, CMO, COO) Contributor / advisor to AI initiatives Limited or no formal role in AI

4. How many years of experience do you have working with AI / advanced analytics initiatives (in any role)?

< 1 year 1-3 years 4-6 years 7-10 years 10+ years

Section 2: AI exposure and organizational context

1. How would you rate your organization's current AI maturity?

1 = Very low (early exploration only) 2 3 = Emerging / pilots running 4 5 = High (multiple AI solutions in production, scaled)

2. Which types of AI does your organization currently use or pilot?

(Select all that apply)

Predictive analytics / machine learning models Generative AI (text, image, code, etc.) Recommendation engines / personalization Computer vision (image/video analysis) NLP for chatbots/virtual assistants Robotic process automation with AI enhancements Other (please specify) None

3. In which business areas are AI initiatives most active in your organization?

(Select up to three)

Customer experience / marketing / sales Operations / supply chain / logistics Finance / risk / compliance HR / talent / learning IT operations / cybersecurity Product / service innovation Other (please specify)

Section 3: CIO's AI responsibilities

Instructions: Use a 1-5 scale where 1 = Not responsible, 5 = Fully responsible

Please rate your level of responsibility for the following AI-related areas:

1. Defining AI vision and strategy

1 2 3 4 5

2. Prioritizing AI use cases and investments

1 2 3 4 5

3. AI governance, risk, and compliance

1 2 3 4 5

4. Data platform and infrastructure for AI

1 2 3 4 5

5. Selection and management of AI vendors/partners

1 2 3 4 5

6. AI talent strategy (hiring, upskilling, organizing teams)

1 2 3 4 5

7. AI change management and adoption in business units

1 2 3 4 5

8. How frequently do you report on AI topics to:

CEO

Executive committee / C-suite

Board of directors

Section 4: AI skills, learning, and talent

Which AI-related learning activities have you undertaken in the last 24 months?

(Select all that apply)

Executive AI program / certificate Online courses on AI/ML or data science Vendor or partner briefings and labs Conferences / summits focused on AI Internal communities of practice or learning circles None

Section 5: Open-ended AI profile questions

1. What are the top 3 AI-related challenges you face as CIO?

2. What capabilities should your CIO successor (next generation CIO) have to succeed in an AI-driven environment?

มิติความสามารถ CIO (10 มิติ)

สำหรับแต่ละ 10 มิติ โปรดเลือกระดับ (1–5) ที่อธิบายผลการปฏิบัติงานจริงในปัจจุบันของคุณและความพร้อมในการนำ AI มาใช้ในองค์กรของคุณได้ดีที่สุด

มิติที่ 1: วิสัยทัศน์ดิจิทัล (บริบท AI)

Anticipating "alpha trends," distinguishing hype from reality (e.g., generative vs. predictive), and foreseeing AI-driven disruption.

Level 1 (Novice): I recognize the basic disruption potential of AI and passively follow industry trends. I have a limited ability to articulate a long-term AI vision and need supervision to identify AI risks. Level 2 (Basic): I can describe core AI technologies (e.g., machine learning vs. generative AI) and their impact. I participate in discussions about future trends and support experimentation under guidance. Level 3 (Competent): I proactively scan the environment for AI trends and forecast business impact. I can propose future opportunities and risks, lead cross-functional awareness sessions, and support strategic AI roadmaps. Level 4 (Advanced): I anticipate AI-driven disruption, future market scenarios, and emerging risks (e.g., hallucinations). I lead broad experiments, shape organizational strategy toward an "AI-first" vision, and drive learning agility. Level 5 (Expert): I shape enterprise-wide AI foresight and set the direction for industry innovation. I influence board-level strategy, author visionary roadmaps, and consistently identify transformative new opportunities that redefine the industry.

มิติที่ 2: การสอดคล้องเชิงกลยุทธ์ด้านดิจิทัล (บริบท AI)

Integrating AI into the "core fabric" of the business, aligning with the "tsunami of data," and ensuring AI is not just a "shiny object."

Level 1 (Novice): I understand the basics of AI strategic alignment and follow existing frameworks. I execute small tasks under guidance. Level 2 (Basic): I can draft AI strategies aligned to business priorities. I assist in building use cases and support departmental integration with close oversight. Level 3 (Competent): I independently lead business case development for AI. I drive cross-functional adoption, deliver measurable value (ROI), and manage stakeholder communications regarding AI. Level 4 (Advanced): I architect and implement enterprise AI strategies. I guide transformation at scale, forecast impacts, and lead culture change and investment prioritization for AI initiatives. Level 5 (Expert): I strategically transform business models across the enterprise using AI. I align AI innovation with the corporate vision, inspire CEO and board-level buy-in, and set new standards of organizational relevance.

มิติที่ 3: ธรรมาภิบาลและการปฏิบัติตามกฎเกณฑ์ด้านดิจิทัล (บริบท AI)

Managing "Shadow AI," ensuring ethical AI (fairness, honesty), and navigating regulations like the EU AI Act.

Level 1 (Novice): I am learning basic AI governance concepts. I follow compliance checklists and rely on AI policies set by others. Level 2 (Basic): I participate in data/process audits for AI. I help design risk registers for algorithms and implement approved controls. Level 3 (Competent): I design and review governance frameworks. I identify compliance/application risks (e.g., bias), perform independent audits, and educate stakeholders on responsible AI. Level 4 (Advanced): I proactively manage complex, dynamic AI risk environments. I drive the creation of ethical guidelines and processes organization-wide to manage the "live wire" nature of AI. Level 5 (Expert): I set enterprise-level governance and compliance standards. I lead regulatory engagement, shape industry best practices for AI ethics, and mentor executive leaders.

มิติที่ 4: สถาปัตยกรรมองค์กรและธุรกิจ (บริบท AI)

Designing "AI-native workflows," creating "centaur" (human+AI) teaming models, and re-architecting operations.

Level 1 (Novice): I understand basic business architecture for AI. I follow existing workflows and support simple integrations under direction. Level 2 (Basic): I participate in targeted process re-engineering projects for AI. I apply known architecture patterns and support data platform development. Level 3 (Competent): I lead cross-departmental workflow redesigns to incorporate AI. I manage integrated AI platforms and measure resulting process performance improvements. Level 4 (Advanced): I architect scalable, future-proof AI business models. I drive change management for enterprise transformation and establish robust governance for the "AI app stack". Level 5 (Expert): I design industry-leading architectures and build integrated ecosystems. I set the strategic direction for business model evolution via AI and author reference frameworks.

มิติที่ 5: ข้อมูลและการวิเคราะห์ (บริบท AI)

Shifting from "model-centered" to "data-centered," ensuring data veracity/integrity, and handling unstructured data.

Level 1 (Novice): I am learning basic concepts of AI data strategy. I support collection/curation with guidance and manage small tasks. Level 2 (Basic): I implement data quality checks and apply basic analytics. I assist in the preparation of data for AI model training. Level 3 (Competent): I lead the development of centralized data platforms. I apply predictive analytics and drive data-driven decisions across business units. Level 4 (Advanced): I architect scalable data ecosystems. I mentor teams on analytics and foster enterprise-wide data culture and literacy to support AI. Level 5 (Expert): I shape data strategies for industry disruption. I integrate unstructured data at scale and author standards for governance and ROI in a data-centric AI environment.

มิติที่ 6: ความปลอดภัยทางไซเบอร์และความเสี่ยง (บริบท AI)

Mitigating "data poisoning," "prompt injection," and securing the converged IT/OT environment against cognitive attacks.

Level 1 (Novice): I understand essential AI security risks. I implement basic safeguards under direction and follow standard protocols. Level 2 (Basic): I participate in AI risk assessments. I apply approved policies and assist with compliance and monitoring of AI systems. Level 3 (Competent): I independently lead complex risk audits for AI. I manage AI-specific threat intelligence and establish proactive controls. Level 4 (Advanced): I design enterprise-wide risk management frameworks for AI. I drive security innovation and ensure compliance at scale across the AI lifecycle. Level 5 (Expert): I shape industry practices for AI risk. I lead executive-level incident management for AI misadventures and mentor future leaders on holistic risk governance.

มิติที่ 7: โครงสร้างพื้นฐานทางเทคโนโลยี (บริบท AI)

Managing specialized compute (GPUs), hybrid cloud for AI, and the complex "AI app stack infrastructure."

Level 1 (Novice): I understand the critical importance of AI infrastructure. I operate basic IT/AI workloads under close supervision. Level 2 (Basic): I assist in cloud migrations. I support the selection/procurement of AI hardware/software and manage simple data integrations. Level 3 (Competent): I lead infrastructure modernization for AI. I optimize compute resources (e.g., GPUs), ensure security/privacy for AI systems, and manage vendor relationships. Level 4 (Advanced): I design modular, hybrid architectures. I solve complex integration problems, align infrastructure with business strategy, and drive secure AI deployment. Level 5 (Expert): I orchestrate global, scalable infrastructure. I influence technology directions, ensure organization-level readiness, and set open ecosystem standards for innovation.

มิติที่ 8: การบริหารโครงการดิจิทัล (บริบท AI)

Managing "probabilistic outcomes," avoiding "stupid projects," and overcoming "pilot purgatory."

Level 1 (Novice): I follow prescribed AI project processes. I support scoping and basic implementation phases under direction. Level 2 (Basic): I coordinate simple POC (Proof of Concept) projects. I track risks and metrics for small deployments and ensure compliance checklists. Level 3 (Competent): I independently manage cross-functional AI project teams. I resolve technical/organizational challenges and deliver tangible ROI. Level 4 (Advanced): I orchestrate enterprise-scale AI rollouts. I mentor teams in scaling and adaptation and architect change management initiatives for AI adoption. Level 5 (Expert): I set industry benchmarks for AI project execution. I author transformation playbooks and drive continuous improvement and innovation culture.

มิติที่ 9: กลยุทธ์นวัตกรรมดิจิทัล (บริบท AI)

Acting as an "internal venture capitalist," fostering rapid prototyping, and defaulting to "yes" for experimentation.

Level 1 (Novice): I identify opportunities for small-scale AI experiments. I contribute ideas and learn from iterative cycles. Level 2 (Basic): I design and test targeted POCs. I report on incremental improvements and collaborate in cross-functional pilot projects. Level 3 (Competent): I lead broader organizational innovation initiatives. I prioritize value-driven use cases and manage rapid scaling from POC to production. Level 4 (Advanced): I architect enterprise-wide innovation pipelines. I mentor teams on creative problem solving and lead continuous talent transformation. Level 5 (Expert): I shape the organizational mindset for sustained digital innovation. I author industry-leading AI products/services and set the vision for disruptive, systemic change.

มิติที่ 10: โมเดลธุรกิจดิจิทัล (บริบท AI)

Leveraging AI to create new revenue streams and fundamentally reimagining how value is created and captured.

Level 1 (Novice): I participate in business model innovation workshops. I understand basic AI integration principles in business transformation. Level 2 (Basic): I support the design/redesign of business models for targeted use cases. I help apply generic AI solutions under close guidance. Level 3 (Competent): I lead cross-functional business model transformation. I apply AI in context to deliver high-impact outcomes and manage KPI frameworks. Level 4 (Advanced): I aim for agile, modular AI architectures. I forecast industry impacts and oversee adoption and adaptation across departments. Level 5 (Expert): I author new market-defining business models. I influence C-suite strategies, codify best practices, and write entrepreneurial transformation playbooks.

Please answer all required questions before submitting.

Answered: 0/20 required questions

Submitting your survey...

การประเมินสมรรถนะ CIO: บริบท AI

มิติที่ 1: วิสัยทัศน์ดิจิทัล (บริบท AI)

มิติที่ 2: การสอดคล้องเชิงกลยุทธ์ด้านดิจิทัล (บริบท AI)

มิติที่ 3: ธรรมาภิบาลและการปฏิบัติตามกฎเกณฑ์ด้านดิจิทัล (บริบท AI)

มิติที่ 4: สถาปัตยกรรมองค์กรและธุรกิจ (บริบท AI)

มิติที่ 5: ข้อมูลและการวิเคราะห์ (บริบท AI)

มิติที่ 6: ความปลอดภัยทางไซเบอร์และความเสี่ยง (บริบท AI)

มิติที่ 7: โครงสร้างพื้นฐานทางเทคโนโลยี (บริบท AI)

มิติที่ 8: การบริหารโครงการดิจิทัล (บริบท AI)

มิติที่ 9: กลยุทธ์นวัตกรรมดิจิทัล (บริบท AI)

มิติที่ 10: โมเดลธุรกิจดิจิทัล (บริบท AI)