The launch of ChatGPT in late 2022 brought years of AI research into the spotlight
gxt 2025-06-16
The launch of ChatGPT in late 2022 brought years of AI research into the spotlight. Despite the excitement, many companies struggle to move GenAI projects into production. This article presents five case studies of early adopters to share their experiences.
The launch of ChatGPT in late 2022 brought years of AI research into the spotlight. Despite the excitement, many companies struggle to move GenAI projects into production. This article presents five case studies of early adopters to share their experiences.
TUI
TUI, a holiday firm, is fully committed to using AI. They use Snowflake to create a data - led change platform. Generative AI is employed for data analysis, and chatbots are used in training programs, speeding up the onboarding process for new staff. They also utilize Cortex AI, Snowflake's large language model. For example, they conduct sentiment analysis using Cortex functions like translation, which is very useful when dealing with customer feedback in different languages. TUI has created official documentation with two principles: enablement to encourage employees to suggest use cases and ensuring human involvement in the decision - making process.
Hastings Direct
Hastings Direct, an insurer, uses AI in underwriting and handling customer queries. The key to their success is ensuring data is in a format that AI can understand. They use Azure - powered machine learning in underwriting, which has refined their pricing and risk models, leading to a more than 100% improvement in speed to market and a three - fold increase in underwriting changes. They also use AI to improve the readability of customer complaint letters, with the score increasing from 50 to about 70. The company emphasizes that AI should be used in the right areas and implemented carefully.
JP Morgan Chase
Gerard Francis from JP Morgan Chase believes that AI will solve several business challenges related to structured and unstructured data. Their early exploration into AI shows its potential in handling various data - related issues.
TUI
TUI, a holiday firm, is fully committed to using AI. They use Snowflake to create a data - led change platform. Generative AI is employed for data analysis, and chatbots are used in training programs, speeding up the onboarding process for new staff. They also utilize Cortex AI, Snowflake's large language model. For example, they conduct sentiment analysis using Cortex functions like translation, which is very useful when dealing with customer feedback in different languages. TUI has created official documentation with two principles: enablement to encourage employees to suggest use cases and ensuring human involvement in the decision - making process.
Hastings Direct
Hastings Direct, an insurer, uses AI in underwriting and handling customer queries. The key to their success is ensuring data is in a format that AI can understand. They use Azure - powered machine learning in underwriting, which has refined their pricing and risk models, leading to a more than 100% improvement in speed to market and a three - fold increase in underwriting changes. They also use AI to improve the readability of customer complaint letters, with the score increasing from 50 to about 70. The company emphasizes that AI should be used in the right areas and implemented carefully.
JP Morgan Chase
Gerard Francis from JP Morgan Chase believes that AI will solve several business challenges related to structured and unstructured data. Their early exploration into AI shows its potential in handling various data - related issues.
