Data Mesh is a relatively new concept and architectural approach for managing and organising large-scale data systems within organisations. It was introduced by Zhamak Dehghani, a software architect at ThoughtWorks, and it aims to address the challenges that arise as companies deal with increasingly complex and distributed data landscapes. In a traditional centralized data architecture,
In today’s fast-paced business environment, data-driven decision-making is not just a competitive advantage—it’s a necessity. Companies that leverage their data efficiently can uncover insights that drive growth, boost operations, and reduce risks. AIDOSOL, a leader in data solutions and consulting, is at the forefront of helping businesses harness the power of their data to make
In today’s world, data analytics is changing the way we look at healthcare. AIDOSOL, with its expertise in data analytics, is playing a crucial role in this transformation by using data to personalize healthcare for individuals. Data analytics is also helping healthcare work better. AIDOSOL can analyze data from things like medical records and fitness
In the modern digital era, data has become incredibly valuable. Companies worldwide, gather, analyze, and use vast amounts of data to improve their businesses. Data monetization refers to the process of generating revenue from available data assets. Organizations can unlock new revenue streams by leveraging data effectively, improving operational efficiency, and enhancing customer experiences. Data
Introduction Explainable artificial intelligence (AI) is gaining popularity in data analytics as businesses seek to understand and trust AI system decisions. This blog post will explore the concept, methods, advantages, risks, and future developments of Explainable AI, particularly in the context of AIDOSOL, a company specializing in data solutions. Understanding Explainable AI Explainable AI refers
AI and data analytics-driven market research surveys give companies practical information to improve their offerings in terms of goods, services, and consumer satisfaction. By utilizing AI in surveys, businesses can obtain a competitive advantage by comprehending consumer preferences and market trends. Businesses may make data-driven, well-informed decisions in real time with AI-driven surveys, which can
In the modern business landscape, data is often acknowledged as the new oil, just as oil has driven the industrial age, data is driving the digital era. However, raw data is good for nothing. It is the insights that derived from data that hold the true power, and you cannot draw the picture of insights