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01 Media keeps a finger on the pulse of the latest and greatest in tech trends; technology news coming from large corporations and startups around the world.

How Do I Import EML Files into Office 365 Mailboxes?
One day, my old colleague contacted me. And in between the talks, he told me about his problem related to EML file import. He now uses Office 365, and his old but elite client details are still in EML files, which he created via Windows Live Mail. Since Windows Live Mail has no support, he wanted to import EML files to Office 365 for better access and security.
By Layla Darzi5 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specific parts of the workflow got genuinely useful — and AEC teams that haven't looked recently are working off an outdated mental model of what's actually possible now.Here's what I've seen, what's real, and what still isn't.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
eCommerce Development Services Compared: Shopify Agency vs. Custom Build — The Honest Breakdown
Introduction Choosing the right approach for building your online store is one of the most important decisions for any business entering the digital space. With multiple options available, many companies find themselves deciding between hiring a Shopify agency or going for a fully custom-built solution.
By Aarti Jangid5 months ago in 01
The Dark Side of Generative AI in Cybercrime.
‎The Dark Side of Generative AI in Cybercrime ‎ ‎How ChatGPT, Deepfakes, and AI Tools Are Revolutionizing Digital Crime ‎ ‎We hear a lot about the wonders of generative AI. ChatGPT writes our emails. Midjourney creates stunning artwork. Sora generates hyperrealistic videos from text prompts. Businesses use these tools to save time, cut costs, and unlock creativity. It feels like magic. ‎ ‎But here is the uncomfortable truth that no one wants to talk about at those shiny tech conferences: the exact same tools that make your life easier are making a cybercriminal's life even easier. ‎ ‎While you are using AI to draft a birthday card for your aunt, someone on the other side of the world is using generative AI to drain bank accounts, destroy reputations, and dismantle companies. And they are getting frighteningly good at it. ‎ ‎I have spent years covering cybersecurity, and I have watched threats evolve from clumsy Nigerian prince emails to sophisticated, personalized attacks that would fool almost anyone. But the rise of generative AI has accelerated this transformation in ways that keep me up at night. Let me walk you through exactly what is happening, because the first step to protecting yourself is understanding what you are up against. ‎ ‎The Death of the Obvious Phishing Email ‎ ‎Remember the old phishing emails? The ones with subject lines like "URGENT: Your Account Has Been Compromised" and sentences riddled with spelling errors like "pleese click the link to varify your information"? They were almost comically bad. Only the most vulnerable or distracted people fell for them. ‎ ‎Those days are over. Permanently. ‎ ‎Generative AI has killed the telltale signs of phishing. A cybercriminal no longer needs to speak fluent English or even understand basic grammar. They simply feed a prompt into an AI model: "Write a convincing email from my bank asking me to verify a suspicious transaction." What comes out is flawless. Perfect grammar. Natural phrasing. No red flags. ‎ ‎But it gets worse. Much worse. ‎ ‎AI can now scrape your social media profiles, your company's website, your LinkedIn connections, and even your public posts to craft hyper-personalized attacks. Imagine receiving an email that mentions your recent vacation to Italy, references your boss by name, and includes a seemingly legitimate attachment related to a project you are actually working on. That is not a lucky guess. That is generative AI doing what it does best: pattern recognition and personalized content generation. ‎ ‎Security firm Darktrace reported that in 2024 alone, AI-powered phishing attacks increased by over 4,000% compared to pre-AI levels. Four thousand percent. Let that number sink in. ‎ ‎--- ‎ ‎Deepfakes: When Seeing Is No Longer Believing ‎ ‎We have all seen the videos. Tom Cruise playing ping pong badly. Barack Obama calling Donald Trump a "total dipshit." Keanu Reeves doing weird things with his face. They are funny. They are entertaining. And they are training us to believe that deepfakes are harmless parlor tricks. ‎ ‎They are not. ‎ ‎Generative AI has reached a point where creating a convincing deep fake requires nothing more than a few minutes of someone's voice or a handful of photographs. Free, open-source tools are widely available on GitHub. And cybercriminals are using them to commit fraud on an unprecedented scale. ‎ ‎Let me give you a real example. In early 2024, a multinational engineering firm lost $25 million. How? An employee in the finance department received a video call. On the screen was the company's CFO, along with several other senior executives. The CFO gave a direct, urgent instruction: transfer funds to a new supplier immediately to complete a confidential acquisition. The employee did as they were told. ‎ ‎The CFO and the executives were not real. They were deepfakes. The entire video call was fabricated using generative AI. The employee saw their boss's face, heard their boss's voice, and watched them interact naturally with other fake colleagues. Every defense mechanism the human brain has—trusting what we see, believing what we hear—was weaponized against them. ‎ ‎This is not science fiction. This is happening right now. And the technology is only getting better. ‎ ‎ ‎AI-Generated Malware: The Rise of Polymorphic Code ‎ ‎Traditional antivirus software works by recognizing signatures. When a piece of malware is identified, its unique code is added to a database. The next time that same malware tries to infect a computer, the antivirus says, "I have seen this before," and blocks it. ‎ ‎Generative AI has rendered this approach almost obsolete. ‎ ‎Cybercriminals are now using AI to write polymorphic malware—code that changes every single time it is deployed. Think of it like a shapeshifter. The malware's core function remains the same, but its digital fingerprint is constantly evolving. Antivirus software that relies on signature recognition is chasing a ghost. ‎ ‎Researchers at a leading cybersecurity firm recently demonstrated an AI tool that could generate thousands of unique, functional malware variants per minute. Each variant was different enough to evade detection but similar enough to carry out its malicious purpose. Traditional defenses simply could not keep up. ‎ ‎And here is the real kicker: you do not need to be a skilled programmer to do this. Generative AI has democratized malware creation. A teenager with a laptop and malicious intent can now generate sophisticated attack code by simply asking an AI chatbot to write it for them. Some AI models have safeguards, but they are trivial to bypass with basic prompt engineering. ‎ ‎--- ‎ ‎Voice Cloning: The Weaponization of Trust ‎ ‎Your voice is unique. It is how your mother knows it is you on the phone. It is how your spouse knows you are really calling from the grocery store. It is a fundamental building block of human trust. ‎ ‎Generative AI can clone your voice with three seconds of audio. ‎ ‎Three seconds. ‎ ‎A voicemail greeting. An Instagram story. A video clip from a work Zoom call that someone recorded. That is all it takes. The AI analyzes your vocal patterns, your pitch, your cadence, your accent, and then it can make you say anything. Anything at all. ‎ ‎The "grandparent scam" has been around for decades. Someone calls an elderly person, pretends to be their grandchild in legal trouble, and asks for money to be wired immediately. These scams worked on some people, but the voice never quite sounded right. The accent was off. The phrasing was unnatural. ‎ ‎Now imagine that same call, but the voice is perfect. It sounds exactly like their grandchild. It uses their pet names. It references specific family memories scraped from social media. The elderly person has no reason to doubt. They hand over their life savings. ‎ ‎The Federal Trade Commission reported that voice cloning fraud losses exceeded $1 billion in 2025. And that is only what was reported. The actual number is almost certainly much higher. ‎ ‎ ‎AI-Generated Fake Identities: The End of Verification ‎ ‎Creating a fake identity used to be hard work. You needed fake documents, fake references, fake history. It was time-consuming and risky. ‎ ‎Now, generative AI can create an entirely fictional person with a complete life story, professional history, social media presence, and even realistic photographs in minutes. These are not crude cut-and-paste jobs. They are indistinguishable from real people. ‎ ‎Cybercriminals use these synthetic identities to open bank accounts, apply for credit cards, rent apartments, and even secure jobs at target companies. Once inside an organization—whether as a remote employee or a contractor—they have access to internal systems, sensitive data, and financial accounts. ‎ ‎One criminal network in Eastern Europe used generative AI to create over 200 synthetic identities. They used those identities to open bank accounts, which they then used to launder money from ransomware attacks. The accounts looked legitimate. The identities checked out. It took banks over a year to realize that none of these people actually existed. ‎ ‎ ‎Bypassing Biometric Security ‎ ‎Biometric authentication—fingerprint scanners, facial recognition, voice verification—was supposed to be the future of security. Unlike passwords, which can be stolen or guessed, your physical characteristics are unique to you. Or so we thought. ‎ ‎Generative AI is cracking biometric security wide open. ‎ ‎Researchers have demonstrated that AI can generate synthetic fingerprints that fool up to 80% of commercial fingerprint scanners. Deepfake videos can bypass facial recognition systems. Voice clones can defeat voice authentication for banking and customer service lines. ‎ ‎A recent experiment showed that an AI-generated deepfake could unlock a smartphone using facial recognition. The phone belonged to a journalist. The attacker had no physical access to the journalist. They simply trained the AI using photographs scraped from the journalist's public social media accounts. The phone unlocked on the first attempt. ‎ ‎Your face is not a secret. You post it on Instagram. You use it on LinkedIn. It appears in news articles and on video calls. Every time you share a photo, you are potentially handing a cybercriminal the key to your digital life. ‎ ‎ ‎What Can You Do? Practical Defenses ‎ ‎I have painted a grim picture, and I do not apologize for that. You cannot defend against a threat you do not understand. But there is good news: awareness alone is a powerful weapon. Here are practical steps you can take right now to protect yourself and your organization. ‎ ‎Establish verification protocols. Never trust a request for money, sensitive information, or password resets based on a single communication channel. If you receive an urgent email from your CEO, call them. If you get a panicked call from your child, hang up and call them back on a number you know is theirs. Use a code word with family members for emergencies. ‎ ‎Invest in AI-powered defenses.The irony is not lost on me: fighting AI with AI. Next-generation security tools use machine learning to detect anomalies that traditional signature-based antivirus misses. They look for behavioral patterns, not just known malware signatures. ‎ ‎Limit your digital footprint. Do you really need to post your birth date, your children's names, your pet's name, and your vacation plans on social media? Every piece of information you share publicly is ammunition for an AI-powered attacker. Lock down your privacy settings. Think before you post. ‎ ‎Train your people relentlessly. Technology will only get you so far. Human judgment is still your best defense. Regular, realistic phishing simulations that use AI-generated content will prepare your team for the real thing. Make security awareness part of your culture, not just an annual compliance checkbox. ‎ ‎Demand multi-factor authentication everywhere. Passwords are dead. Biometrics are vulnerable. Multi-factor authentication—requiring two or more verification methods—remains your strongest defense. Use authenticator apps, not SMS-based codes. Physical security keys are even better. ‎ ‎The Road Ahead ‎ ‎Generative AI is not going away. The cat is out of the bag, and no amount of regulation or ethical guidelines will put it back in. The same tools that empower artists, writers, and entrepreneurs also empower criminals. That is the dual-use nature of all powerful technology, from the printing press to the internet itself. ‎ ‎The question is not whether generative AI will be used for cybercrime. It already is. The question is whether we will adapt our defenses quickly enough to stay ahead. ‎ ‎I believe we can. But it requires a fundamental shift in how we think about security. We cannot rely on the old tells—bad grammar, suspicious links, obvious fakes. Those are relics of a simpler time. We must build systems and habits that assume deception is possible, that trust must be verified, and that the person on the other end of the screen might not be a person at all. ‎ ‎Stay vigilant. Stay skeptical. And for heaven's sake, hang up and call back. ‎ ‎If you found this article helpful, please share it with your colleagues and family. The more people understand these threats, the harder we make it for cybercriminals to succeed. Have you or your organization experienced an AI-powered cyberattack? I would love to hear your story in the comments below. ‎ ‎Written by DDM ATIQ ‎
By DDM ATIQ 5 months ago in 01
Digital Experience Design for Museums: Creating Memorable Visitor Journeys
The Audience Shift Museums face a massive demographic shift in 2026. Young digital-native visitors process information through screens. They ignore static exhibits completely. They refuse to read small printed text cards. They expect interactive screens and instant information. Cultural spaces must adapt their physical buildings to survive. They achieve this transformation through modern digital experience design.
By ViitorCloud Technologies5 months ago in 01
Move Data from Personal OneDrive to Business OneDrive: Sharing My Real Story
The moment I realized that I needed to move files was when my startup business started growing, and what I stored and made accessible was getting messy. My client files, invoices, & personal photos all in one place were truly getting to confuse every day. That’s when I got access to a business account and knew it was time to move files from personal OneDrive to Business.
By Layla Darzi5 months ago in 01
Different Types of Python Libraries Used in Web Scraping Workflows
80% of data on the web is unstructured. If you know how to extract that data cleanly and efficiently, you’re already ahead of most developers. Web scraping sounds simple until you try to pick the right tools. There are dozens of options, each promising speed, flexibility, or power. Few deliver all three.
By Swiftproxy5 months ago in 01
What Enterprise Leaders in Dubai Need to Know About Mobile Innovation
Dubai has rapidly evolved into one of the most technologically advanced business hubs in the world. From smart city initiatives to AI-powered services, the region is embracing digital transformation at an unprecedented pace. Businesses across industries are realizing that mobile applications are no longer optional—they are essential tools for growth, engagement, and operational efficiency.
By Steve Waugh5 months ago in 01
How I Managed to Import an OST File into Office 365 (After a Few Failed Attempts)
I didn’t expect this to be as confusing as it turned out to be. All I wanted was to move some old Outlook data into Office 365. Simple, right? But the moment I tried importing an OST file directly, I realized Outlook just doesn’t allow that.
By Layla Darzi5 months ago in 01
How to Structure App Content for AI Citation in 2026
Knowing how to structure app content for AI citation is the primary differentiator. This sets visible brands apart from those lost in AI training data. By 2026, the traditional SEO landscape has shifted toward Answer Engine Optimization. This is also known as AEO. In this environment, AI agents do more than index your text. They parse it for verifiable truth and semantic relationships. They also look for technical accessibility. Your app content must be formatted for these agents. Otherwise, your product will not be cited as a source. Users now rely on natural language responses. This guide provides an implementation framework for technical founders. It also helps product owners. We will move beyond basic metadata. We will explore the architecture of "Citation Nodes." We will also cover "Semantic Hierarchy." AI models require these to trust and reference your content.
By Devin Rosario5 months ago in 01