Analytics Insight is digital magazine focused on disruptive technologies such as Artificial Intelligence, Big Data Analytics, Blockchain and cryptocurrencies.

Analytics Insight’s market focus remains on emerging technologies. The market analysis of these technologies helps key decision-makers across organizations and enterprises predict emerging trends, build comprehensive strategies, improve existing products and solutions, plan market expansion, and reach the right customers.

Nov 27, 2024 · The proliferation of Internet of Things (IoT) devices is generating vast amounts of data at the edge of networks. In 2024, edge computing is emerging as a key trend to process and analyze this data closer to its source, reducing latency and bandwidth usage.

Oct 10, 2024 · Data analytics is expected to play a more dominant role in business and society by 2025. The data analytics market, valued at US$51.55 billion in 2023, is expected to grow to US$279.31 billion by 2030.This growth will be characterized by real-time analytics capabilities, which will enable organizations to derive insights faster and act promptly.

Discover the top AI tools that empower financial analysts with advanced analytics, automation, and real-time insights to enhance decision-making and efficiency.

Discover the top AI breakthroughs of 2025, from advanced agents to transformative applications in cybersecurity and data management.

Sep 30, 2024 · Deepfake technology has raised both excitement and concern. As it becomes more accessible, the potential for misuse grows. In 2025, deepfake videos and audio will be more prevalent, driven by advances in AI and machine learning.

Jan 2, 2025 · Data science and machine learning have been subject to much change in the recent past. Innovations are cutting across various sectors. By 2025, the landscape promises a number of advanced platforms that can easily simplify processes and enhance efficiency in delivering valuable insights.

Dec 12, 2024 · Big Data Analytics supports organizations in moving from intuition-based decisions to strategic, data-driven approaches. By analyzing past trends and current data, companies can predict outcomes, allocate resources effectively, and enhance decision-making processes.

Nov 9, 2024 · This type of AI-powered data analytics involves using artificial intelligence and its subcategories, specifically machine learning (ML) and natural language processing (NLP), to perform data analytics. AI makes it possible to automate much of the repetitive work on data cleaning, classification, and pattern recognition, and with a large dataset, this does cut down the time it takes and the ...