As the utilization of machine learning and MLOps (machine learning operations) continues to gain traction within organizations, it is imperative to stay abreast of the latest advancements and developments in the field.
With inflation and other disruptive market dynamics massively impacting consumer behavior, is it any surprise that personalization tops the list of strategic actions for CMOs in 2023? Yep, people tend to stick around when digital products and experiences fulfill their personal needs quickly and accurately. And topping the list of powerful tools for personalization? Machine learning and AI, of course, from product recommendations to targeted offers based on digital customer and behavioral data.
In the latest instalment of our interviews speaking to leaders worldwide in tech, we’ve welcomed Mady Mantha, CTO and co-founder of Happypillar.
Artificial Intelligence (AI) is coming, whether we like it or not. It is likely to transform every aspect of what it means to be human and represents an existential opportunity – or potential threat – to everyone living and yet to be born. Hyperbole aside, ChatGPT software intelligence has been a hot news topic of late. While it has some limitations, to many of us it’s the first real glimpse of AI’s capabilities.
Built with BigQuery: How to Accelerate Data-Centric AI development with Google Cloud and Snorkel AI.
Artificial Intelligence has drastically changed the way we look at things today. What was previously possible only by human intervention can now be done with the help of AI. With AI making inroads into most industries, the world of website creation is not far behind. Many large e-commerce companies like Amazon are using AI technology to better understand their customers, provide product recommendations, and improve the user experience on their websites.
Deploying models is becoming easier every day, especially thanks to excellent tutorials like Transformers-Deploy. It talks about how to convert and optimize a Hugging face model and deploy it on the Nvidia Triton inference server. Nvidia Triton is an exceptionally fast and solid tool and should be very high on the list when searching for ways to deploy a model. If you haven’t read the blogpost yet, do it now first, I will be referencing it quite a bit in this blogpost.
