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The value of creative AI

Podcast host Kimberly Boyd | Podcast guest Jarno Kartela
September 14, 2021 | 37 min 53 sec

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Brief summary

Companies are looking to AI/ML to deliver better customer experience, improve productivity, or keep up with the competition. Beyond the popular use of replacing tedious and repetitive tasks with automation, Principal Consultant Jarno Kartela explains the more creative and strategic opportunities to solve business problems and improve product innovation. This episode is for modern decision-makers who want to become more data-enabled, data-informed and science-backed in their operations and strategic planning.

Episode Highlights:


  • Using technology, AI and ML to create value. Start with the business stakeholders and try to understand what's the problem we want to solve and what's the narrative of doing so, and does it even require a technology? Then work back from that to technology. 
  • Considering technology in a creative capacity. Start with the co-planning, co-designing, co-creating. What's the problem? What are the scenarios and things and systems we could throw at it? What are the pros and cons of each? Start with exploring all the possibilities, be willing to get in that creative space first, before having a definitive point of view.
  • Start with the business problem. The business usually does not trust the technology folks to solve the business problem. The technology folks feel that business doesn't understand the set of possibilities with technology. There's this lack of trust between two parties. Building that trust to technology is understanding what data actually is? How is it created? When can you use it? When can you not? Building trust to technology is a lot about building trust in data and building trust in data requires competencies of understanding what that is about.
  • Data can only tell us so much about what's happening in the world, it can only tell us so much about what's happening in our customer base, and it can only tell us so much about the future. What is the way that I should use all of this new technology to improve how I do strategic planning, how I do simulation, and the future-oriented tasks of a CXO? Scenario modeling simulations are going to hit the mainstream in five years, and the overall umbrella decision science is going to be the next big thing. 
  • You have to take a leap of faith. To get to outsized value, to get to the things that your neighbor and your competitor is not doing, it takes a lot of courage. It takes a phenomenal culture of the organization to say, we want to disrupt how this thing is working. We want to disrupt the entire industry. I think now it's the time for the early adopters. It's the time for the first ones on the markets to reap the benefits. Those who ask, “Are we courageous enough to try that?" will certainly reap the benefits. 
  • You do not have to understand AI and applied data science. Understanding what data is, how can you use it, where it comes from, how it works and how you can apply that to create business value, is going to be a desired skill. Organizations have evolved from digitalization, they have evolved from information technology, but they have not evolved from, "How can we use data as a business asset?" There's a lot of grounds to cover in order to get to AI. 


Learn more about AI/ML on Perspectives: Augmenting the future of business, creativity and innovation

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