How AI is changing the meaning of innovation

How GenAI is changing the world  

Generative AI has awakened the world to the transformative potential of artificial intelligence (AI). More than analysing and classifying existing data, generative AI can create something new: text, images, audio, synthetic data, and more.   

In business, science, industry, and even society, GenAI has revolutionized human creativity and productivity. It's time to ask what GenAI's next steps are and how we can channel this powerful tool in our companies and in our lives! 

Open Innovation is also about to be AI-driven 

Alberto Onetti , Professor of Entrepreneurship at the University of Insubria and Chairman and President of Mind the Bridge confirms that corporates are already changing how to innovate and realizing that the only way to succeed and keep on innovating is to join forces with special innovation vehicles, also known as startups and scaleups, around the world. This is where emerging trends in AI-driven open innovation come in.   

From including innovation/matching platforms, some with extended functionalities to integrate Startup Relationship Management (SRM) capabilities, to incorporating GenAI capacities in helping corporates define their innovation challenges, startup scouting is about to become AI-driven. Also, idea generation and early-stage/seed investments are increasingly powered by AI.  

There’s no doubt that AI is already taking over innovation. If you'd like to learn more about the future of open innovation powered by AI, check out the full blog article written by Alberto Onetti. 

Three steps to turn the use of GenAl into true business value 

There's no doubt that due to GenAI processes will include more human-machine interactions in general. After all, GenAl has the potential to be beneficial for every single employee and has become an essential tool for businesses. People and businesses must be aware of the potential of AI and specific use cases to tailor them to the needs and requirements of each person.  

By following three simple steps companies and employees can easily understand and learn how to work successfully with GenAI and generate business value from it.  The first step is to understand what generative AI is, how it works and the limitations. Then comes the phase of exploring strategies for experimentation and business process integration. Finally, it’s time to implement strategies for automation and optimization using AI tools.  

To learn how to develop data fluency and machine learning skills, discover the potential of these three simple steps, with DAIN Academy methodology. Unlock the full potential of generative AI to boost business efficiency, productivity and profitability by downloading our free whitepaper.   

Keeping on the cutting edge of AI and innovation 

We leave in the air the desire for innovation and the endless possibilities of using artificial intelligence to our advantage. To keep up to date with disruptive innovations and trends in AI and how it is revolutionizing the way we live, work, and think, check out our "AI to Go" blog.