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The Impact of the OpenAI o1-preview Model on AI Dashboards: A New Standard for Analysis and Automation

The Impact of the OpenAI o1-preview Model on AI Dashboards: A New Standard for Analysis and Automation

The introduction of the OpenAI o1-preview model revolutionizes AI dashboards by offering deeper analysis capabilities, advanced workflow automation, and enhanced security, while complementing the fast and versatile performance of GPT-4o. Using both models together allows for addressing a wide range of needs, from simple tasks to complex challenges requiring more sophisticated reasoning.

Machine Learning vs Large Language Models: Understanding the Key Differences

Machine Learning vs Large Language Models: Understanding the Key Differences

Artificial intelligence (AI) is an ever-evolving field with numerous subdomains that shape how we understand and interact with technology. Among these, Machine Learning (ML) and Large Language Models (LLM) are two foundational pillars with significantly different goals and mechanisms. This article explores the distinctions between these two technologies, illustrating their applications with practical examples. We will conclude with a comparative table that summarizes these differences in a clear and concise manner.

How AI Improved the Online Visibility of an Industry Leader

How AI Improved the Online Visibility of an Industry Leader

An industrial leader partnered with Strat37 to automate the management and SEO optimization of over 600,000 product pages. The goal was to enhance their search engine rankings by automatically generating precise descriptions and optimized alt tags using artificial intelligence. This approach significantly increased organic traffic and improved the online visibility of the product catalog.

Claude Styles: An AI That Learns to Write Like You

Claude Styles: An AI That Learns to Write Like You

AI tools are practical, but their tone often feels too generic, requiring extensive edits. Claude Styles changes the game by adapting to your writing style. It automatically adjusts its tone based on the context and can even learn your style from examples. The result? Less editing, more impact, and writing that truly sounds like you.

Are SaaS Solutions Becoming a Commodity?

Are SaaS Solutions Becoming a Commodity?

SaaS solutions have become ubiquitous, but with the rise of AI, their role is shifting. Large Language Models and autonomous agents allow businesses to automate tasks, interact directly with data, and create custom tools without relying on predefined software interfaces. This raises the question: is SaaS becoming a mere infrastructure layer for AI-driven applications? To stay relevant, SaaS providers must specialize in specific industry verticals and integrate AI with consulting to ensure structured, high-quality data. The future of SaaS may be less visible, more modular, and fully AI-powered.

How AI Revolutionized Market Research Analysis

How AI Revolutionized Market Research Analysis

Strat37 developed a Retrieval-Augmented Generation (RAG) platform for a leading insurance company, enabling the extraction of precise information from a vast library of market studies. Using advanced OCR technology and AI algorithms, the solution ensures fast searches and continuously updated data. This approach has optimized decision-making and improved access to strategic insights.

Deep Search: The future of online search with AI?

Deep Search: The future of online search with AI?

Finding relevant and reliable information on the Internet is a constant challenge. Between the multitude of sources, the sorting of results and the risk of misinformation, the search for information takes time and requires increased expertise. That's where Deep Search, ChatGPT's new feature, comes in. Unlike traditional search engines that list links, Deep Search goes further: it collects, analyzes, and synthesizes information from the web to provide a structured and sourced document. A promising advance for professionals, but also a solution that poses certain limitations. We tested Deep Search to understand how it works and assess its effectiveness.

How AI Streamlines Incident Processing and Ticketing

How AI Streamlines Incident Processing and Ticketing

Our client faced a major operational challenge: managing over 4,000 emails per year related to power outage incidents across multiple sites. Each email required manual reading, classification, and ticket creation in ServiceNow. This process was not only time-consuming but also prone to delays and human error. By implementing an AI-driven automation solution, we enabled real-time incident analysis, classification, and ticket generation, significantly improving efficiency and response times.