IT Infrastructure Upgrades

It's time we call data centers what they truly are: critical infrastructure. The moment services go down, it becomes front-page news as people discover they can't join meetings, shop online, or stream content. Our dependency on data centers is suddenly, painfully visible. But the consumer disruption is only the surface. Modern hospitals run on digital infrastructure powered by data centers. Electronic health records, diagnostic imaging, lab systems, and telemedicine all depend on highly reliable compute and storage environments to function at scale. Similarly, emergency response systems, 911 dispatch, traffic networks, and utility grids increasingly rely on data center–backed infrastructure to operate in real time and at high availability. We've long recognized roads, hospitals, and power plants as assets so essential to society that their protection and development are treated as a national priority. Data centers belong in that same class. At Aligned Data Centers, this isn't an abstract policy debate. It shapes how we design, where we build, and the standards we hold ourselves to. When you understand that your facility is the backbone of a hospital system or an emergency response network, "good enough" isn't a standard you can accept. Data centers are no longer optional IT assets. They are the infrastructure of modern life. Our policy frameworks, public discourse, and investment priorities need to reflect that reality.

Europe just defined how AI must be secured On 15 Jan, the European Telecommunications Standards Institute (ETSI) published a standard, EN 304 223, defining baseline cybersecurity requirements for AI models and systems. ➡️ A common set of AI cybersecurity controls, usable across jurisdictions, vendors, supply chains. Why this matters now Traditional cybersecurity was built for software & networks. AI changes the attack surface: ▫️ training data can be poisoned ▫️ models can be manipulated or obfuscated ▫️ prompts can be indirectly injected ▫️ behaviour can drift in invisible ways ➡️ EN 304 223 explicitly names these risks, treating them as security failures. How this takes effect EN 304 223 is already being pulled into procurement processes, security questionnaires, internal audits, vendor due diligence, insurance reviews. With the EU AI Act, high-risk AI systems will need to demonstrate compliance through conformity assessment either via internal control with robust technical documentation, or through assessment by a notified body. ➡️ EN 304 223 is the operational “how” that law and auditors will rely on. The real breakthrough: lifecycle security The standard defines 13 principles and 72 trackable requirements, organised across 5 phases of the AI system lifecycle: 1️⃣ secure design 2️⃣ secure development 3️⃣ secure deployment 4️⃣ secure maintenance 5️⃣ secure end of life ➡️ Retraining a model = redeploying a system from a security standpoint. AI security becomes a continuous operational discipline. Accountability made operational EN 304 223 assigns accountability across 3 technical roles: ✔️ developers ✔️ system operators ✔️ data custodians ➡️ AI risk lives between teams. This standard makes ownership explicit. The target: production AI EN 304 223 applies to deep neural networks and GenAI models already embedded in products, services, and operational decisions. Academic or research environments are excluded. ➡️ This standard is about AI that is live, scaled, and consequential, particularly in finance, healthcare, and critical infrastructure. What “compliance” means Complying with legal, audit, procurement, and insurance expectations using EN 304 223 as evidence: mapping controls across the lifecycle and ownership across roles. What Boards and executives should do now 1️⃣ Mandate an AI inventory: What AI is live, where, doing what, using which data pipelines, supplied by whom. 2️⃣ Assign named accountability across the lifecycle: Align to the standard’s role logic per system. 3️⃣ Require an AI security evidence pack per high-impact system, mapped across its lifecycle. 4️⃣ Decide your assurance route early. For high-risk systems plan for internal control vs notified body assessment. The bigger signal EU is turning AI security into auditable infrastructure. Trustworthy AI is becoming a standard of execution. For companies operating globally, proof of AI security is becoming the baseline. #AI #GenAI #AIGovernance #AISecurity #Boardroom

How to prepare your hotel for the Agentic AI upheaval? I believe priority #1 for independent hoteliers, midsize and smaller hotel brands is to create true two-way APIs among three crucial technology pieces: PMS-CRS-CRM. This is the only way to prepare the property for the agentic AI, expected to take over hotel bookings, guest relationships and personalization over the next years. Where do hoteliers start? Implement a CRM technology to aggregate all of the property’s first-party and zero-party data, which is then cleansed, de-duped, enriched and appended. If you already have CRM in place, consider upgrading to a CDP to empower property operations and deliver above-and-beyond customer service and personalization. First-party data is the customer data (past customers & guests, website users, opt-in email subscribers, lists of corporate travel managers, meeting planners, wedding and event planners, SMERF group leaders the property has been doing business with or at least in communications with, etc.) that comes from the PMS, CRS, WBE, from the property's website, opt-in email sign-ups, even customer lists sitting on laptops of sales and marketing personnel. The CRM (and CDP for more complex independents, midsize and smaller brands) provides “a single source of truth” for guest data and creates 360-degree guest profiles, augments these with preferences, social media ambassadorship, customer engagement data, etc., which enables ALL hotel departments to do their job more efficiently and effectively. The more you know about your guests, their preferences, their likes and dislikes, their past stay history, and their RFM value (Recency, Frequency, and Monetary), the better you can deliver value, recognition, and personalized service. AI can make this process a thousand times more efficient and effective. Ex. Operations can now anticipate guest requests and preferences, and personalize customer experiences; Marketing can finally embark on one-to-one marketing and can significantly increase customer engagements via similar audiences marketing. First-party and zero-party guest data have become more precious than gold today due to government privacy regulations as well as browsers and search engines own privacy protections. The moral of the story? Before jumping into futuristic AI connectivity projects with Model Context Protocol (MCP) or Agent-to-Agent (A2A), take care of the fundamentals to prepare for the upcoming Agentic AI upheaval that will, inevitably, take over hotel bookings, guest relationships and personalization over the next years.

Sustainability Integration in Digital Strategy 🌎 As sustainability expectations increase, companies must address both the environmental impact of their digital infrastructure and the role technology plays in driving broader decarbonization across their operations and value chains. BCG proposes a two-pronged approach to guide this integration: Sustainable Tech and Tech for Sustainability. The first focuses on reducing the carbon footprint of IT itself, while the second leverages digital tools to reduce emissions across the business and ecosystem. Key actions to decarbonize IT include measuring emissions from IT operations, optimizing their footprint, and sourcing hardware and services with sustainability criteria in mind. These steps lay the foundation for a greener digital infrastructure. In parallel, technology can be used to advance sustainability across operations. Measuring and optimizing emissions beyond IT, and actively engaging in ecosystem-level collaboration, can help companies drive systemic change using digital enablers. Both dimensions are supported by three strategic phases: defining purpose and vision, setting priorities, and enabling the organization. Together, they provide a clear path for integrating sustainability into digital strategy with structure, accountability, and impact. #sustainability #sustainable #business #esg

By unifying networking capabilities with advanced security controls, SASE expresses a strategic vision where performance and protection work together to support resilient digital infrastructures. Looking at the current landscape, the pressure on organizations to integrate flexibility and security into their network architectures is higher than ever. Remote work, cloud adoption, and distributed applications create a scenario in which both connectivity and defense mechanisms must be delivered seamlessly. SASE addresses this demand by bringing under one framework elements such as SD-WAN, which enhances connectivity by intelligently routing traffic across multiple links to ensure speed and reliability, and CASB (Cloud Access Security Broker), which secures the use of cloud applications by monitoring access, enforcing policies, and protecting sensitive data. Alongside these, bandwidth aggregation, network as a service, zero trust, and firewall-as-a-service contribute to a unified and adaptable approach. The strength of this model is its ability to align performance with security without forcing organizations to choose one over the other. I believe this approach represents an evolution in the way enterprises think about digital infrastructures, encouraging leaders to move from fragmented solutions toward an integrated strategy capable of responding to complex needs with clarity and control. #SASE #Cybersecurity #Networking #CloudComputing #CASB #SDWAN

🛡️ The Quantum Clock is Ticking quietly: Is Your Financial Infrastructure Ready? The financial industry is built on a foundation of digital trust, currently secured by #cryptographic standards like RSA and ECC. However, the rise of Cryptographically Relevant Quantum Computers (CRQC) poses an existential threat to this foundation. As we navigate this transition, here are 3 key pillars from the latest Mastercard R&D white paper that every financial leader must prioritize: 1. Addressing the 'Harvest Now, Decrypt Later' (HNDL) Threat 📥 Malicious actors are already intercepting and storing sensitive #encrypted data today, intending to decrypt it once powerful quantum computers are available. Financial Use Case: Protecting long-term assets such as credit histories, investment records, and loan documents. Unlike transient transaction data (which uses dynamic cryptograms), this "shelf-life" data requires immediate risk analysis and the adoption of quantum-safe encryption for back-end systems. 2. Quantum Resource Estimation & The 10-Year Horizon ⏳ While a CRQC capable of breaking RSA-2048 in hours might be 10 to 20 years away, the migration process itself will take years. Financial Use Case: Developing Agile Cryptography Plans. Financial institutions should set "action alarms" for instance, once a quantum computer reaches 10,000 qubits, a pre-prepared 10-year migration plan must be triggered to ensure infrastructure is updated before the "meteor strike" occurs. 3. Hybrid Implementations: The Bridge to Security 🌉 The transition won't happen overnight. The paper highlights the importance of Hybrid Key Encapsulation Mechanisms (KEM), which combine classical security with PQC. Financial Use Case: Enhancing TLS 1.3 and OpenSSL 3.5 protocols. By implementing hybrid models now, banks can protect against current quantum threats (like HNDL) while maintaining compatibility with existing classical systems, ensuring a smooth and safe transition. The Bottom Line: A reactive approach is no longer an option. Early adopters who evaluate their data's "time value" and begin the migration today will be the ones to maintain resilience and protect global financial assets tomorrow. #QuantumComputing #PostQuantumCryptography #FinTech #CyberSecurity #DigitalTrust #MastercardResearch

# HPE Chief Technologist's Five-Point Plan to Cut AI Infrastructure Emissions TLDR; Sustainability for AI needs to be planned from the outset and consider the full stack, not bolted on later. Great to see our own John Frey, Senior Director and Chief Technologist for Sustainable Transformation at HPE, interviewed in this article for Capacity Media - a techoraco brand this week. John runs through the five levers of efficiency, and here's my take on them: 1. Equipment efficiency: We typically overprovision and underutilise IT equipment, so consider how to maximise utilisation of the assets you have before adding more capacity 2. Energy efficiency: Maximise performance per Watt of energy consumed, and make use of low power states when resources are idle 3. Resource efficiency: Advanced cooling options like DTC and fanless liquid cooling are more energy efficient than air cooling for power dense workloads. Consider heat recovery to convert waste heat into an asset that can decarbonise other forms of heating 4. Software efficiency: In AI, Python is popular for notebooks and experimentation but as a high-level interpreted language it's also the least energy efficient. Particularly when deploying to production, consider compiled alternatives like Rust or C++ to minimise processor cycles. The Green Software Foundation's Software Carbon Index (SCI) is a useful tool for calculating the carbon impact of software in meaningful terms like number of concurrent users, prompts or tokens 5. Data efficiency: Data exists everywhere and it is inherently messy, it resists our attempts to constrain it into neat boxes. Data strategies need to consider the energy cost of data movement - embracing a hybrid, distributed approach to data management and bringing the AI to the data can significantly reduce unnecessary data movement, loading and duplication. Check out the full interview with John here: https://lnkd.in/eimVfv9d HPE has a long history of building some of the world's most energy efficient AI computers, making use of technical and energy innovations to optimise performance per watt. Now that AI is becoming part of everyone's IT portfolio, efficiency is more important than ever. #sustainableIT #livingprogress #fiveleversofefficiency #ITefficiency

In our push to stay secure, it’s easy to overlook the environmental cost of digital defense. India’s data center capacity is set to reach 2,070 MW by the end of 2025, nearly double from where we are today. It’s a sign of progress, but also a wake-up call. These centers consume massive amounts of energy, and without sustainable practices, the impact can be severe. But there’s hope. Companies are taking proactive steps. For instance, the Adani Group is set to supply clean energy to power Google’s cloud services in India, aligning with Google’s goal to operate entirely on clean energy by 2030. As cybersecurity professionals, we have a role to play: 🔹 Optimizing Data Storage: Implementing smart data retention policies to cut down on unnecessary storage and energy consumption. 🔹 Adopting Energy-Efficient Encryption: Using hardware-accelerated encryption to enhance security while saving energy. 🔹 Enhancing Data Center Efficiency: Targeting lower Power Usage Effectiveness (PUE) to ensure more efficient energy use. This #EarthDay, let’s commit to embedding sustainability into our cybersecurity frameworks. By doing so, we not only protect our digital assets but also contribute to the health of our planet. #EarthDay2025 #Cybersecurity #GreenIT #DigitalDefense #CyberSustainability #DataCenters

Hotel Front Office Performance Improvement Plan Objective: Enhance efficiency, guest satisfaction, and overall service quality in the front office. 1. Staff Training & Development A. Customer Service Excellence • Conduct regular training on guest interaction, complaint resolution, and personalized service. • Role-playing scenarios for handling difficult guests and special requests. B. Technical & System Training • Ensure all staff are proficient in Property Management Systems (PMS) like Opera or Fidelio. • Cross-train employees in reservations, check-in, and concierge services for better flexibility. C. Upselling & Revenue Maximization • Train staff on upselling techniques for room upgrades, spa packages, and dining options. • Implement incentive programs for successful upsells. 2. Streamlining Check-In & Check-Out Process A. Digital & Mobile Check-In • Implement online pre-registration and self-check-in kiosks. • Provide QR codes for quick digital check-ins and payments. B. Express Check-Out & Billing Transparency • Offer mobile and email invoices for seamless check-out. • Ensure guests review bills before departure to prevent disputes. 3. Enhancing Guest Experience A. Personalized Service • Use guest history to customize room preferences, welcome amenities, and personalized greetings. • Train staff to remember repeat guests and their preferences. B. Efficient Communication Channels • Introduce AI-powered chatbots for quick query resolution. • Utilize WhatsApp or SMS for instant guest communication. C. Guest Feedback & Problem Resolution • Implement real-time guest feedback collection using digital surveys. • Empower staff with authority to resolve issues without manager approval for quick service recovery. 4. Workforce Optimization & Scheduling • Use demand forecasting to optimize staff allocation during peak and off-peak hours. • Rotate shifts fairly to maintain staff motivation and efficiency. 5. Technology Integration & Automation A. Property Management System (PMS) Optimization • Automate room assignments for better occupancy management. • Ensure seamless integration with housekeeping and maintenance systems. B. AI & Chatbots for FAQ Handling • Use AI-powered chatbots to handle common inquiries and reservations. • Reduce front desk workload by automating routine tasks. C. Contactless Payment & Digital Documentation • Promote digital payments to reduce check-in time. • Implement e-signatures for registration cards and waivers. 6. Enhancing Internal Communication • Use tools like Slack or hotel management apps for instant team communication. • Hold daily briefings to align staff on VIP arrivals, complaints, and occupancy status 7. Performance Monitoring & Continuous Improvement • Set key performance indicators (KPIs) such as check-in time, guest satisfaction scores, and upselling revenue • Conduct regular audits and mystery guest evaluations. •Reward high-performing employees to boost motivation

Most hotel owners try to automate guest emails first. That's the wrong place to start. For the past year, I've been building automations inside my hotel. The tool doing most of the heavy lifting now sits on my laptop. Three layers came out of that work. There's an order to them. Get the order right and each layer makes the next one easier. Get it wrong and you stall. Here's the framework I use. Call it Inside-Out Automation. Layer 1 — Automate the work YOU hate doing Start with yourself. Your inbox. Your reports. The 30 little things you keep pushing to next week. Why first? Because every hour you free up is an hour you can spend building the next automation. It compounds. You can't automate your team or your guests if you're still drowning in your own admin. This is the layer that changed my life the most. Biggest personal payoff, by far. Layer 2 — Automate your team's repetitive work Now you have time. Spend it on the boring tasks your team does every day. Three things happen at once: ○ Morale goes up. Nobody got into hospitality to copy data between systems. ○ Output per hour goes up. Same team, more done, lower cost per task. ○ Your processes get cleaner. AI can't automate chaos. To hand a task to an AI, you have to write down how the task actually happens. That alone makes the business better. This is where you quietly rebuild your hotel for an AI-first world. From the inside. Layer 3 — Automate the guest experience Most owners want to start here. I get it. It's the layer everyone talks about. But it should come last. Here's why: by the time you get to it, you're not just doing staff work faster (answering emails, sending confirmations). You're doing the work your team never had time to do. Things like: ▷ Reaching out to every booking that week and offering an upgrade if a better room is open. ▷ Helping plan the trip before they arrive. ▷ Booking the restaurant. The private chef. The beach club. The driver. ▷ Sending a short itinerary built around what they told you. That's not staff work. That's the work staff would do if they had infinite time. This is the layer that changed the business the most. Biggest ROI. But it only works because you did the first two layers first. --- Here's what I'd do if I were starting this week. If you own a small hotel, block 3 hours in your calendar in the next 7 days. Open Claude Code. Connect three things: ☑ Your email ☑ Your Google Drive or Dropbox ☑ Your PMS That's it. Nothing else. Anyone telling you that you can't do this yourself is afraid you'll find out how easy it actually is. Small business owners can now automate things that only large hotel groups could touch a few years ago. That's a real shift. It's especially big for hospitality, where the work is operational, repetitive, and emotional all at once. Three hours. Three connections. Inside-out. That's the start.