Systems | Development | Analytics | API | Testing

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.

For the next interview in our series speaking to technical leaders from around the world, we’ve welcomed Zack Rosenberg, CEO and Co-Founder at CatapultX.

Data science is vital to business success. It’s our window into the likes and habits of our customers, creating opportunities to glean insights from the mountains of data we collect every day. Data has always helped businesses with decision-making, but AI is taking it a step further. So much so that today it can even be applied to the practice of creating impressive email subject lines. Machine learning for information management is now a key ally for every organization worldwide.

ClearML is now officially integrated into the NVIDIA TAO Toolkit 🎉. For those of you that don’t know yet, the NVIDIA TAO Toolkit, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training process by abstracting away the AI/deep learning framework complexity.

For the next interview in our series speaking to tech founders from around the world, we’ve welcomed Shemmy Majewski, CEO at Dlabs.AI.

For the next interview in our series speaking to technical leaders from around the world, we’ve welcomed Bryan Ovalle, CEO of Hello Llama AI. Bryan solidified his love of technology studying at Carnegie Mellon University and has spent his career leading from the frontlines of business for leading companies, combining his passions for tech and business to serve and advance P.I.E. (People, Impact, and Empowerment).

For the next interview in our series speaking to technology specialists from around the world, we’ve welcomed Anand Prajapati, Co-founder and CTO at Leena AI. Anand’s journey with Leena AI has been a culmination of his keen interest in all-things-tech, and his desire to provide the best HR solutions for large enterprises. As the Chief Technology Officer, he is responsible for overseeing existing products and conceptualizing new solutions.