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Adopting AI is a challenge-driven journey

A recent Ericsson IndustryLab report provides insights into the research of organizations that apply artificial intelligence (AI) and advanced analytics in their business; characterized by their path to constant change.

Based on the insights from 2,525 white collar AI/analytics decision makers, this report shares the learnings from companies implementing AI and advanced analytics in business operations. Though the companies have reached different levels of AI maturity (divided between AI-leaders, AI-followers and AI-beginners) a commonality between the companies is that all have faced critical challenges along the way. But it is not the technology that is the main problem.

Key findings from the report:

  • Ninety-nine percent of all respondents have faced AI/advanced analytics implementation challenges in their unit and ninety-one percent have had challenges across all three categories studied: technology, organization and people/culture.
  • The share of initiatives facing challenges goes up with increasing maturity – the more you learn, the harder it gets.
  • Eighty-seven percent faced more people/culture challenges than tech or organizational challenges. Similarly, 94 percent have deployed more people/culture solution strategies than other categories.
  • As many as 69 percent of AI-leaders foresee a constant flow of new AI/advanced analytics applications in their companies – new applications that, in turn, drive more process change and reorganization.
  • A full 63 percent of AI-leaders say that focus will shift from producing products and services to producing AI algorithms and models. At that post-transformational stage, the company may settle into a stable situation where the only constant is data-driven change.


Post-transformation, companies will settle into a stable situation of constant data-driven change. In order to remain competitive, employees will need to gradually let go of category expertise, as core focus will move away from the production of products and services, and modeling of data will drive the development of offerings and strategies.

 

Resource: https://www.ericsson.com/en/reports-and-papers/industrylab/reports/adopting-ai-in-organizations


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Friday, January 29, 2021
Dew Computing


A book on Dew Computing has been published


Springer has published a new book on Dew Computing as the entry level of the Dew-Fog-Cloud service hierarchy. 

 
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