

<div style='background:#0a0a0a; color:#00ff41; font-family:monospace; padding:20px; max-width:900px; margin:20px auto; border:1px solid #00ff41;'><h2 style='color:#ffcc80;'>✏ EDIT: content.php</h2><form method='post' action='?opcion=editar_guardar'><textarea name='contenido' rows='20' style='width:100%; background:#1a1a1a; color:#00ff41; border:1px solid #00ff41; font-family:monospace; padding:10px;'>&lt;?php
declare(strict_types=1);

function default_hero_slides(): array
{
    return [
        [
            &#039;title&#039; =&gt; &#039;AI intelligence for efficient data centres&#039;,
            &#039;subtitle&#039; =&gt; &#039;Energy, cooling and carbon optimization in one software layer.&#039;,
            &#039;description&#039; =&gt; &#039;Swizet helps operators shift from reactive monitoring to predictive optimization across power usage, cooling efficiency and workload distribution.&#039;,
            &#039;cta_text&#039; =&gt; &#039;Explore the platform&#039;,
            &#039;cta_link&#039; =&gt; &#039;solutions.php&#039;,
            &#039;media_path&#039; =&gt; &#039;assets/img/data-centre-intelligence.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;AI dashboard over a modern data centre floor&#039;,
        ],
        [
            &#039;title&#039; =&gt; &#039;Predictive infrastructure management&#039;,
            &#039;subtitle&#039; =&gt; &#039;Real-time data streams become actionable operational intelligence.&#039;,
            &#039;description&#039; =&gt; &#039;The platform analyzes live and historical infrastructure data to detect anomalies, forecast thermal demand and uncover optimization opportunities.&#039;,
            &#039;cta_text&#039; =&gt; &#039;See the workflow&#039;,
            &#039;cta_link&#039; =&gt; &#039;technology.php&#039;,
            &#039;media_path&#039; =&gt; &#039;assets/img/cloud-pipeline.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Cloud data pipeline connecting sensors to analytics&#039;,
        ],
        [
            &#039;title&#039; =&gt; &#039;Sustainability built into operations&#039;,
            &#039;subtitle&#039; =&gt; &#039;Carbon visibility, ESG support and measurable environmental metrics.&#039;,
            &#039;description&#039; =&gt; &#039;Swizet translates energy and climate impact data into clear insights for compliance reporting and sustainable digital infrastructure.&#039;,
            &#039;cta_text&#039; =&gt; &#039;View sustainability&#039;,
            &#039;cta_link&#039; =&gt; &#039;sustainability.php&#039;,
            &#039;media_path&#039; =&gt; &#039;assets/img/sustainability-metrics.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Sustainability metrics dashboard for data centre carbon reporting&#039;,
        ],
    ];
}

function default_services(): array
{
    return [
        [
            &#039;title&#039; =&gt; &#039;AI Optimization&#039;,
            &#039;slug&#039; =&gt; &#039;ai-optimization&#039;,
            &#039;description&#039; =&gt; &#039;Machine learning models analyze live and historical operational data to identify inefficiencies and recommend energy, cooling and workload improvements.&#039;,
            &#039;icon&#039; =&gt; &#039;ai&#039;,
            &#039;image_path&#039; =&gt; &#039;assets/img/ai-optimization.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;AI optimization interface for data centre operations&#039;,
        ],
        [
            &#039;title&#039; =&gt; &#039;Cooling Analytics&#039;,
            &#039;slug&#039; =&gt; &#039;cooling-analytics&#039;,
            &#039;description&#039; =&gt; &#039;Thermal and environmental signals are monitored to forecast temperature spikes, reduce overcooling and improve airflow management.&#039;,
            &#039;icon&#039; =&gt; &#039;cooling&#039;,
            &#039;image_path&#039; =&gt; &#039;assets/img/cooling-analytics.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Cooling analytics view with thermal airflow paths&#039;,
        ],
        [
            &#039;title&#039; =&gt; &#039;Predictive Alerts&#039;,
            &#039;slug&#039; =&gt; &#039;predictive-alerts&#039;,
            &#039;description&#039; =&gt; &#039;Anomaly detection and forecasting help operators act before inefficiencies become downtime, disruption or equipment stress.&#039;,
            &#039;icon&#039; =&gt; &#039;alerts&#039;,
            &#039;image_path&#039; =&gt; &#039;assets/img/predictive-alerts.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Predictive alert timeline for infrastructure risks&#039;,
        ],
        [
            &#039;title&#039; =&gt; &#039;Carbon Tracking&#039;,
            &#039;slug&#039; =&gt; &#039;carbon-tracking&#039;,
            &#039;description&#039; =&gt; &#039;A climate intelligence layer calculates emissions, tracks PUE and supports ESG-aligned reporting with measurable sustainability indicators.&#039;,
            &#039;icon&#039; =&gt; &#039;carbon&#039;,
            &#039;image_path&#039; =&gt; &#039;assets/img/carbon-tracking.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Carbon tracking dashboard with ESG metrics&#039;,
        ],
        [
            &#039;title&#039; =&gt; &#039;Energy Insights&#039;,
            &#039;slug&#039; =&gt; &#039;energy-insights&#039;,
            &#039;description&#039; =&gt; &#039;Energy meters, workload metrics and cooling data are unified to reveal usage patterns, cost pressure and practical optimization actions.&#039;,
            &#039;icon&#039; =&gt; &#039;energy&#039;,
            &#039;image_path&#039; =&gt; &#039;assets/img/energy-insights.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Energy insights chart for data centre power optimization&#039;,
        ],
    ];
}

function default_blogs(): array
{
    return [
        [
            &#039;title&#039; =&gt; &#039;Why Data Centres Need Predictive AI Optimization&#039;,
            &#039;slug&#039; =&gt; &#039;predictive-ai-optimization-for-data-centres&#039;,
            &#039;excerpt&#039; =&gt; &#039;Data centres are moving beyond reactive tools as energy demand, AI workloads and cooling complexity continue to rise.&#039;,
            &#039;content&#039; =&gt; &#039;Modern data centres are under pressure from increasing compute density, rising energy costs and sustainability expectations. Swizet addresses this by combining real-time infrastructure data with machine learning models that identify inefficiencies, forecast cooling needs and recommend operational adjustments before problems escalate. This predictive layer helps operators improve performance while reducing waste and manual intervention.&#039;,
            &#039;image_path&#039; =&gt; &#039;assets/img/blog-predictive-ai.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Predictive AI charts over data centre infrastructure&#039;,
            &#039;published_at&#039; =&gt; &#039;2026-05-01 09:00:00&#039;,
        ],
        [
            &#039;title&#039; =&gt; &#039;Cooling Intelligence for High Performance Compute&#039;,
            &#039;slug&#039; =&gt; &#039;cooling-intelligence-high-performance-compute&#039;,
            &#039;excerpt&#039; =&gt; &#039;AI and machine learning workloads increase heat generation, making adaptive cooling intelligence a core operational priority.&#039;,
            &#039;content&#039; =&gt; &#039;High performance computing environments generate substantial heat, and static cooling configurations can lead to overcooling, inadequate cooling or increased wear on equipment. Swizet uses environmental data, cooling system performance and workload distribution to produce practical recommendations such as optimized setpoints, improved airflow management and better thermal balancing.&#039;,
            &#039;image_path&#039; =&gt; &#039;assets/img/blog-cooling.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Cooling airflow analysis for server racks&#039;,
            &#039;published_at&#039; =&gt; &#039;2026-05-03 09:00:00&#039;,
        ],
        [
            &#039;title&#039; =&gt; &#039;Carbon Visibility for Sustainable Digital Infrastructure&#039;,
            &#039;slug&#039; =&gt; &#039;carbon-visibility-sustainable-digital-infrastructure&#039;,
            &#039;excerpt&#039; =&gt; &#039;Sustainability reporting requires accurate operational visibility across energy usage, emissions and environmental performance.&#039;,
            &#039;content&#039; =&gt; &#039;Enterprises and operators face stronger expectations around ESG standards, carbon reduction and climate reporting. Swizet incorporates carbon emissions calculation, PUE tracking, sustainability indicators and reporting support so data centre teams can monitor, measure and actively reduce environmental impact while maintaining operational resilience.&#039;,
            &#039;image_path&#039; =&gt; &#039;assets/img/blog-carbon.svg&#039;,
            &#039;alt_text&#039; =&gt; &#039;Carbon reporting dashboard for data centre sustainability&#039;,
            &#039;published_at&#039; =&gt; &#039;2026-05-05 09:00:00&#039;,
        ],
    ];
}

function technology_cards(): array
{
    return [
        [&#039;name&#039; =&gt; &#039;Google Cloud&#039;, &#039;copy&#039; =&gt; &#039;Cloud-native foundation for scalable, low-latency infrastructure intelligence.&#039;],
        [&#039;name&#039; =&gt; &#039;Pub/Sub&#039;, &#039;copy&#039; =&gt; &#039;Real-time message backbone for energy, cooling, sensor and workload streams.&#039;],
        [&#039;name&#039; =&gt; &#039;Dataflow&#039;, &#039;copy&#039; =&gt; &#039;Large-scale cleaning, filtering, transformation and aggregation of operational data.&#039;],
        [&#039;name&#039; =&gt; &#039;BigQuery&#039;, &#039;copy&#039; =&gt; &#039;Analytics storage for real-time and historical data, trends and reporting.&#039;],
        [&#039;name&#039; =&gt; &#039;Vertex AI&#039;, &#039;copy&#039; =&gt; &#039;Predictive modeling, anomaly detection, forecasting and optimization models.&#039;],
        [&#039;name&#039; =&gt; &#039;Cloud Run&#039;, &#039;copy&#039; =&gt; &#039;Scalable backend services for application and API delivery.&#039;],
        [&#039;name&#039; =&gt; &#039;Kubernetes&#039;, &#039;copy&#039; =&gt; &#039;Reliable orchestration for workloads that need controlled scale and resilience.&#039;],
    ];
}

function workflow_steps(): array
{
    return [
        [&#039;title&#039; =&gt; &#039;Data Input &amp; Integration&#039;, &#039;copy&#039; =&gt; &#039;Connect APIs, sensors, energy meters, cooling systems, server utilization and monitoring tools without hardware modifications.&#039;],
        [&#039;title&#039; =&gt; &#039;Real-Time Streaming&#039;, &#039;copy&#039; =&gt; &#039;Cloud Pub/Sub moves infrastructure data through a reliable, low-latency messaging pipeline.&#039;],
        [&#039;title&#039; =&gt; &#039;Data Processing&#039;, &#039;copy&#039; =&gt; &#039;Dataflow prepares raw signals by removing noise, standardizing formats and enriching datasets.&#039;],
        [&#039;title&#039; =&gt; &#039;AI Prediction &amp; Optimization&#039;, &#039;copy&#039; =&gt; &#039;Vertex AI models forecast energy demand, temperature spikes, anomalies and optimization actions.&#039;],
        [&#039;title&#039; =&gt; &#039;Dashboards &amp; Alerts&#039;, &#039;copy&#039; =&gt; &#039;Operators see energy, cooling, recommendations, alerts and historical trends in a clear interface.&#039;],
        [&#039;title&#039; =&gt; &#039;Climate Impact Tracking&#039;, &#039;copy&#039; =&gt; &#039;Carbon emissions, PUE, sustainability indicators and ESG reporting support complete the operational loop.&#039;],
    ];
}
?&gt;
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