Business Organization for AI readiness

AI skills for business readiness

Nearly three-quarters of companies are now using AI (31%) or exploring its use, while 43% of IT professionals surveyed, said their companies have accelerated AI rollouts as a result of COVID-19. 

The advancement of AI provides an opportunity for organizational leaders to differentiate and defend their business and is expected to generate additional global economic activity of approximately $13 trillion by 2030. 

 

 

AI can be applied to fulfil various business purposes, such as enabling better decision making and improving processes, products, and services. 

AI adoption involves more than reimagining a business process. 
 

AI’s non-linear nature

 
Based on the previous figure and  the scope of effort and potential value define following cases: 

Single-point solutions: 
  • automating simple processes, often in back-office areas most prone to standardization
  • AI can generate quick efficiencies, therefore, a relatively easy way for an agency to start using AI, with relatively quick returns to build support for AI solutions

Use case targeted:
  • Process- or problem-focused, e.g. intelligent chatbots in contact centers, or natural language processing and predictive analytics for units that deal with large amounts of data
  • Agency leaders, who are evangelists in scaling AI across their enterprise, tend to emerge

Transformative:
  • Develop AI-fueled breakthroughs in back-office performance or mission outcomes. 
  • Transformational uses of AI can maximize the technology's value as an enabler of organizational change.

Business Benefits

 
 

AI skills

Ingeniørarbejde:
  • Big Data-forvaltning og datavidenskab
  • Kunstig intelligens / maskinlæring / dybdegående læring

    Strategi:
  • Indsamling og indsamling af data
  • Databehandling og fortolkning

    Organisation:
  • Organisationsdiagram
  • Ledere og evangelister

    Infrastrukturer:
  • Datawarehouses og datasøer
  • AI-behandlingsværktøjer

    Sikkerhed og regulering:
  • Databeskyttelse og GDPR
  • AI-regulering
  • Etik

Self-reflection

What could AI do in your business sector that is not doable with traditional practices?

References

  • IBM's "Global AI Adoption Index 2021," conducted by Morning Consult on behalf of IBM

  • Ng, A. (2019). How to Choose Your First AI Project. In T. Davenport, E. Brynjolfsson, A. McFafee, & H. Wilson, Artificial Intelligence: The Insights You Need from Harvard Business Review (pp. 79-88). Harvard Business Review Press.

  • Davenport, T. (2020). The State of AI in Businesses. In T. Davenport, E. Brynjolfsson, A. McAfee, & H. Wilson , Artificial Intelligence: The Insights You Need from Harvard Business Review. Harvard Business Review Press.

  • Daugherty, P., & Wilson, H. (2018). Human + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press.

  • Deloitte Insights, AI readiness for government, 2020

Exercises

Exercise: Multiple choice

What is the nature of AI considering the scope of effort and the potinetial value

Exercise: Multiple choice

What are the main characteristics of single-point AI solutions?

Exercise: True / False

The performance of systems and applications can be increased by means of AI.

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