Cloud Architecture for Generative Models
The need to solve complex human problems has driven humanity to intense research on artificial intelligence (AI). While AI has been around for a long time, generative AI (GenAI), an arm of AI that is capable of generating new content such as audio, text, code, images, simulations and videos has led to a shift in how AI can be used to advance business and production use cases with inventions such as ChatGPT and Google Bard among other tools slipping into day to day work
In this review we look into how the cloud provides a solution to the development of Generative AI models and how the threats and opportunities of such development can be harnessed.
Generative AI is the next big thing in artificial intelligence. It has the potential to revolutionize the way we create content, design products, and solve problems. ~ Gary Marcus
Digital Products Innovation Through Experimentation
Successful business products are at the core appealing to end-users, and this is true even for B2B companies. While every business strives to be the market differentiator, building digital products demand a holistic approach.
Building culturally contagion digital products requires experimentation as a meta-capability that starts with a focus on design, customer obsession and a focus on B2C. An understanding that's consequential in unveiling novel dependencies in decision making and customer's intrinsic behavioural patterns.
Read more on how you can tap into the power of experimentation
Experimentation is a meta-capability beyond R N D that will drive the next-generation digital products