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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.

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 Transformed Real-Time Business Analysis

How AI Transformed Real-Time Business Analysis

Our client wanted to accelerate access to commercial data, enabling teams to make decisions faster without relying on complex reports or specialized analysts. By integrating a generative AI tool, we automated data extraction and interpretation in real-time, allowing instant analysis and strategic recommendations. This approach reduced decision-making time and improved business responsiveness.

Claude 3.5 Sonnet: AI for Daily Business Tasks

Claude 3.5 Sonnet: AI for Daily Business Tasks

Anthropic has introduced a major advancement with Claude 3.5 Sonnet, an AI featuring the new "Computer Use" capability designed to automate actions on a computer naturally. Built to assist teams with their daily tasks, Claude can navigate interfaces, fill out forms, and manage data with precision, simulating human actions. This innovation opens new horizons for businesses looking to streamline their processes with a proactive, high-performance AI.

How AI Transforms Product Information Management

How AI Transforms Product Information Management

In this article, we explore how artificial intelligence revolutionized product information management for a distribution company struggling with 1.5 million unstructured data points. By leveraging AI, we automated the enrichment of product sheets, improving data accuracy, enhancing e-commerce readiness, and reducing manual processing times. This solution not only increased operational efficiency but also optimized product descriptions for marketing purposes.

Sales & AI: Are you ready?

Sales & AI: Are you ready?

Exploring the integration of artificial intelligence into business strategies: how AI is transforming performance, personalization, and forecasting in the sales industry.