Discussions about AI could be heard throughout the 7th annual Appian Government event, held November 29, 2023 at Capital One Hall in Tysons, Virginia. At breakfast, a customer sitting next to me mentioned how he’s looking forward to hearing how AI can help mine his historical data. “And securely,” another added. In a lunchtime conversation, yet another customer told me about the productive meeting they had with Appian on incorporating AI into their processes.

In 2023, generative AI took the spotlight, emerging as the most talked-about technology of the year. This content creating powerhouse can do everything from text, image, and video generation to answering questions through natural language queries. And its potential uses are vast. While many industries are still in the experimental phase, the insurance sector is poised to benefit significantly from the integration of artificial intelligence into its ecosystem.

Customer services now constitute one of the key distinguishing factors of banks in an ever-changing environment. With increasing customer requirements, banks must adopt and incorporate novel technological methods to provide customized services. A very promising technology in this regard is generative AI. Generative AI in core banking systems will enable banks to transform their customer services by increasing efficiencies and building meaningful customer relationships.

This tutorial shows how to use ClearML to manage MONAI experiments. Originating from a project co-founded by NVIDIA, MONAI stands for Medical Open Network for AI. It is a domain-specific open-source PyTorch-based framework for deep learning in healthcare imaging. This blog shares how to use the ClearML handlers in conjunction with the MONAI Toolkit. To view our code example, visit our GitHub page.

Natural language processing and large language models to help BigQuery process dataframes.