AI Guides

The article explores the future impact of AI on various industries, highlighting its role in data analysis, research, human care, household tasks, workplace efficiency, and safety. It discusses the increasing adoption of AI by enterprises and the influence of generative AI tools like ChatGPT, providing insights into the evolving landscape of artificial intelligence.

The MIT report highlights a concerning 95% failure rate of generative AI pilots in companies, emphasizing the challenges in implementing enterprise AI solutions. This article sheds light on the GenAI Divide, offering valuable insights into the core issues hindering the success of AI initiatives in organizations.

Learn how to leverage the COMPLETE function in Snowflake Cortex AI to integrate large language models (LLMs) into SQL queries, enabling advanced AI-driven data interactions. This tutorial by Christopher Marland offers practical examples for generating insights from data and optimizing AI models within Snowflake.

This article from RAND delves into the root causes of failure for artificial intelligence projects, highlighting insights from data scientists and engineers. It offers recommendations to avoid common pitfalls in AI implementation, making it a valuable resource for AI developers and builders to enhance project success rates.

Snowflake Cortex is a fully-managed AI service integrated within Snowflake, enabling businesses to leverage machine learning and AI capabilities through simple SQL commands. It offers pre-built ML functions for tasks like forecasting and anomaly detection, making it easy to gain insights and automate tasks without specialized programming knowledge.

This beginner's guide from Coursera provides a structured approach to learning artificial intelligence, emphasizing the importance of creating a learning plan, mastering prerequisite skills, and starting with AI fundamentals. It highlights the wide-ranging applications of AI in everyday life and the potential career opportunities in the field.