Latest Stories
Most recently published stories in 01.
Japan Whey Protein Market: Size, Growth and Industry Trends. AI-Generated.
Market Overview The whey protein market in Japan is experiencing steady growth, supported by rising health consciousness, increasing fitness participation, and growing demand for nutritional supplements. Whey protein is widely used for muscle development, recovery, and overall wellness, making it a key component of modern dietary habits.
By Jackleen Jackleen5 months ago in 01
Japan Furniture Market: Trends, Demand and Future Outlook. AI-Generated.
Market Overview The furniture market in Japan is experiencing steady growth, driven by increasing urbanization, evolving lifestyle preferences, and rising demand for functional and aesthetically appealing living spaces. Furniture is no longer just a utility product—it plays a key role in enhancing comfort, productivity, and interior design.
By Jackleen Jackleen5 months ago in 01
Japan Electric Motor Market Is Accelerating with Electrification and Automation. AI-Generated.
Market Overview Electric motors are devices that convert electrical energy into mechanical motion, making them essential components in a wide range of applications. They are widely used in industrial machinery, household appliances, electric vehicles, robotics, and infrastructure systems. Electric motors play a critical role in improving efficiency, reducing energy consumption, and enabling automation across industries.
By David Michel5 months ago in 01
Japan Cyber Insurance Market Is Expanding in Response to Digital Risk. AI-Generated.
Market Overview Cyber insurance is a specialized type of insurance designed to protect businesses and organizations from financial losses caused by cyber incidents such as data breaches, ransomware attacks, system failures, and other digital threats. These policies typically cover costs related to data recovery, legal liabilities, business interruption, and regulatory compliance.
By David Michel5 months ago in 01
DeFi Demystified: Can Decentralized Finance Replace Banks?. AI-Generated.
The financial world is undergoing a quiet revolution. Decentralized Finance, commonly known as DeFi, is emerging as one of the most disruptive innovations in the blockchain space. DeFi is based on decentralised networks and aims to recreate traditional financial systems like trading, lending, and borrowing without the need for middlemen like banks. But the big question remains: can DeFi truly replace traditional banking systems, or is it just another technological trend?
By Muhammad Talha Ahmad5 months ago in 01
Algorithmic Trading Software Development: What It Really Takes to Build an Automated Trading System. AI-Generated.
Most people imagine algorithmic trading as a strategy problem. They picture signal logic, model quality, maybe a clever edge. In practice, the harder part is usually everything around the strategy: the data arriving on time, the orders reaching the market without confusion, the risk controls stepping in before a bug becomes a loss. That is why teams building these products often borrow patterns from broader fintech platform development, where reliability matters just as much as feature depth.
By Valeriia Shulga5 months ago in 01
Best Crypto Arbitrage Bots for Indian Users in 2026: Features, Benefits, and How to Choose
As cryptocurrency adoption continues to grow, traders are exploring smarter ways to navigate price differences across exchanges. One of the most discussed tools in this space is the crypto arbitrage bot. In 2026, Indian users are increasingly turning to automation to improve efficiency and take advantage of market gaps without constant manual monitoring.
By smithtaylor5 months ago in 01
The CAC Problem in SaaS Is an Engineering Problem. AI Is the Fix.
SaaS customer acquisition costs have climbed more than 60% over the last five years. The average cost per acquired customer now sits around $205. For enterprise-focused products, that figure often exceeds $500.
By ViitorCloud Technologies5 months ago in 01
How AI is Automating Scan to BIM in 2026
I'll be honest about where I stood on this two years ago: skeptical.Not skeptical that AI would eventually change how we process point clouds into BIM models — that trajectory was obvious. Skeptical of the timeline. Every six months there was a new announcement about automated scan-to-BIM, automated object recognition, AI-generated Revit families from scan data. And every time we tested the actual output on a real project, the gap between the demo and the deliverable was significant enough that we kept our modeling team doing what they'd always done.That started shifting in late 2024. It's shifted more in 2025 and into 2026. Not because AI suddenly got magic, but because specific parts of the workflow got genuinely useful — and AEC teams that haven't looked recently are working off an outdated mental model of what's actually possible now.Here's what I've seen, what's real, and what still isn't.
By ViBIM - BIM Modeling Service5 months ago in 01
What is Scan to BIM?
I want to start with a story before I get into definitions. A few years back, our team took on a renovation project for a 1960s office building in the mid-Atlantic region. Three floors, roughly 28,000 square feet (2,600 m²), and — like most buildings from that era — the as-built drawings were a mess. Some floors had partial CAD files. One floor had only paper drawings, scanned to PDF, rotated at a slight angle that nobody had noticed until we tried to use them. The structural drawings disagreed with the architectural drawings on column locations by up to 4 inches (about 100mm) in some spots.
By ViBIM - BIM Modeling Service5 months ago in 01
