What goes better together than AI and the Cloud?
What goes better together than AI and the Cloud?
For 100pts. name that movie! (should be an easy one).
It could be said that AI was born in the cloud, although many purest and diehard AI-nerds would disagree. But it's hard to argue that the tech that made cloud possible also enabled the resurgence of AI as we know it today.
It could be said that AI was born in the cloud, although many purest and diehard AI-nerds would disagree. But it's hard to argue that the tech that made cloud possible also enabled the resurgence of AI as we know it today.
Cloud Computing
Gartner forecasts spending on cloud tools and services to reach $679 billion in 2024 (and we're already more than half way there - can you believe it!) and $1 trillion by 2027.⁹ Much of this spend will be driven by the growing demand for new AI-powered platforms and as-a-service offerings. AI models, such as the LLM that powers ChatGPT, are trained on huge amounts of data, requiring vast amounts of compute power. Most businesses don’t have the resources or infrastructure to do this themselves, but by accessing AI-as-a-service through cloud-native platforms, they can leverage real-time data collection and analysis required to enable AI.
AI and Cloud Use Cases
AI and Cloud Use Cases
- Optimized Scaling and Resource Allocation Based on Real-time Demand
- Predictive Analytics for Proactive Allocation/Predictive Scaling
- Automation - Resource Provisioning, Software Deployment, Config Mgmt, etc.
- Application Performance Monitoring
- Application Tuning and Optimization
- Load Balancing/Dynamic Workload Scheduling
- FinOps - Optimize Spending
- Data Management - Warehousing, Pipelines, ETL
- Robotics Process Automation (RPA)
- Artificial Intelligence solutions - AI has its own needs requiring an intense variety of resources (CPUs, GPUs, Storage)
Resource Optimization
Resource Optimization
AI-driven cloud management platforms optimize resource allocation and performance to meet changing demand. For example, a cloud provider can use AI algorithms to dynamically adjust server capacity based on workload fluctuations, ensuring optimal performance and cost-efficiency. By automatically scaling resources up or down as needed, businesses can minimize downtime and reduce infrastructure costs.
Predictive Maintenance
Predictive Maintenance
AI analytics predict equipment failures and schedule maintenance proactively to prevent downtime. By analyzing vast amounts of data collected from the cloud infrastructure, AI algorithms can detect patterns, anomalies, and potential risks. For example, a manufacturing company can use AI algorithms to analyze sensor data from industrial machinery across all work sites and identify signs of impending malfunctions. By scheduling maintenance tasks before equipment failure occurs, businesses can minimize disruptions to production and maintain operational efficiency.
Robotics Process Automation (RPA)
AI-driven, cloud-based RPA enables businesses to automate their processes more quickly and easily than traditional, on-premises RPA solutions. For example, a finance team can leverage RPA technology hosted in the cloud to automate the receipt, data extraction, validation, entry, approval, payment, and archiving of invoices from various suppliers. By utilizing optical character recognition (OCR) for data extraction and integrating with the company's ERP and accounting software, the RPA system efficiently processes hundreds of invoices in diverse formats with minimal human intervention. This automation also offers scalability during peak times and cost savings over traditional on-premises solutions.
The "natural" integration of AI and cloud computing is not just a technological advancement but a strategic imperative for businesses aiming to stay competitive. As spending on cloud services continues to skyrocket, the adoption of AI as a Service (AIaaS) will become increasingly essential. By embracing these advanced technologies, organizations can optimize resources, anticipate and prevent disruptions, and automate processes (and adopt AI of their own) at an unprecedented scale, paving the way for a more efficient and innovative future.
AI Readiness Assessment
Am I ready for AI?
What AI solutions should I apply in my business?
Where should I start?
Our proprietary and innovative tool will help you get started, streamline, and focus your AI strategy by asking the right questions, matching your business needs with solutions and suppliers, and eliminate guesswork.
You'll get a custom, tailored report specifically for you and your situation - giving you clear guidance on where to start and a radmap for the future.
Increase value to your stakeholders and ownership - we'll help you become an AI expert, quickly.
About Cloud 9
At Cloud 9, we are deeply passionate about the transformative power of emerging technologies, particularly all the exciting wonders around Artificial Intelligence. We are committed to helping our clients harness AIs immense potential. We empower clients to leverage our unparalleled education, resources, and supplier guidance for cutting-edge AI technologies and cloud solutions. Our expertise on integrating AI spans customer experience (CX), cloud computing, mobility, IoT, and advanced networking, with a strong focus to enhance security measures.
Our engineering and architecture teams are at the forefront of AI-driven business transformation and cloud innovation, ready to guide you in identifying and seizing new AI opportunities to tackle your most critical business challenges. As your business evolves, we ensure you stay protected and ahead of the curve, providing clear, actionable insights and strategies for a secure, AI-enhanced future.
