Agile Disruption Generative AI Technology 
ImagineNation
OCTOBER 7, 2023
Moving into unchartered job and skills territory We don’t yet know what exact technological, or soft skills, new occupations, or jobs will be required in this fast-moving transformation, or how we might further advance generative AI, digitization, and automation.
Daniel Burrus
MARCH 13, 2024
When it comes to the concept of disruptions in this world, we tend to focus on all the new digital tools that are creating ripples in headlines. From generative AI to digital currency, these digital disruptions are definitely leaving their impact. The word “disruption” is a key stumbling point for many.
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Leapfrogging
MARCH 19, 2024
The Intersection of AI and Innovation Management Defining Innovation Management with AI Innovation management refers to the process and activities that organizations use to manage and nurture new ideas into marketable products and services. It helps organizations to: Anticipate future trends and consumer demands.
Daniel Burrus
AUGUST 30, 2023
What will happen with certain businesses or industries if the economy shifts, if technology disrupts, or if a new product or service falls flat? There is no doubt that uncertainty breeds fear, anxiety, and even a type of mental agility that treads water until you feel all is clear. Yes, we do live in constant uncertainty.
Leapfrogging
MARCH 19, 2024
Plus, everyone wondered how AI could be leveraged as a source of process innovation in the innovation management process itself. As I delved deeper into the processes that underpin effective innovation management that AI could transform, I realized the potential for even greater disruption than I had thought.
Planview
MARCH 15, 2024
But while the increasing number of companies adopting VSM has changed how teams build from project to product, a new innovative approach hits the spotlight: generative AI (genAI). In essence, AI models can take inputs in various forms and generate new content based on the modality of the model. What is genAI?
Planview
FEBRUARY 29, 2024
These challenges underscore the complexities inherent in managing and evolving the technological framework of automotive software. Striking a delicate balance between innovation and the intricacies of managing legacy code demands strategic foresight, requiring a keen understanding of the evolving technological ecosystem.
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