Cloud computing is poised to revolutionize artificial intelligence (AI) and enterprise operations by 2025. Industry experts predict that advancements in cloud computing will significantly impact Managed Service Providers (MSPs) and Managed Security Service Providers (MSSPs), driving value and revenue for these service providers. The expected developments will not only enhance AI capabilities but also transform business operations, leading to increased productivity and efficiency.
The Role of Cloud Computing in AI Evolution
Cloud computing will play a critical role in the evolution and deployment of AI. According to J.J. Kardwell, CEO of Vultr, the need for new innovations in cloud infrastructure to fully leverage AI’s potential is paramount. As AI matures, enterprises will require agile, scalable, open, and composable ecosystems to support rapid AI model deployment without incurring high overheads. This shift may challenge the traditional dominance of Big Tech cloud providers, paving the way for alternative cloud providers capable of delivering these open ecosystems.
These alternative providers are expected to democratize AI innovation, creating a level playing field for enterprises worldwide. Kardwell posits that as businesses rebuild their operations with generative AI at the core, significant enhancements in productivity and operational efficiency will follow. For MSPs, this presents an opportunity to shape their services around AI integration, ensuring compliance and security in the use of AI. By staying ahead of the curve and adopting these new technologies, MSPs can provide cutting-edge solutions to their clients and maintain a competitive edge in the market.
Moreover, the ability to leverage cloud computing to deploy AI models quickly and efficiently will be a game-changer for many organizations. The agility and scalability of these ecosystems will enable businesses to respond swiftly to changing market demands and stay ahead of their competitors. As AI continues to evolve, the importance of cloud computing in facilitating its development and deployment cannot be overstated. The collaboration between cloud providers and AI developers will be crucial in driving innovation and ensuring the widespread adoption of AI technologies across various industries.
The Rise of Agentic AI
By 2025, agentic AI is predicted to move from a concept to a necessity, revolutionizing enterprise automation. Kardwell envisions self-directed AI applications that will enable real-time, data-driven decision-making in sectors that already utilize sovereign and private clouds. Early adopters, likely in sectors with minimal capital expenditure constraints, will deploy high-performance GPU and CPU clusters for mission-critical applications. This will allow these organizations to harness the full potential of agentic AI and achieve unparalleled productivity and efficiency gains.
Lighter agentic AI solutions are expected to thrive through alternative cloud providers, enabling serverless inference at the edge and reducing costs and complexity. By outsourcing infrastructure management, businesses can focus on optimizing the AI application layer, leading to enhanced productivity and customer engagement. The deployment of specialized models paired with vector databases and retrieval-augmented generation (RAG) at edge locations will support large-scale AI inference, providing the ultra-low latency necessary for efficient AI interactions. This edge-focused architecture will be instrumental in managing the high volume of AI interactions and ensuring the seamless operation of agentic AI applications.
Furthermore, the rise of agentic AI will also drive advancements in enterprise automation. By enabling real-time, data-driven decision-making, these self-directed AI applications will transform the way businesses operate, allowing them to respond quickly to changing market conditions and make informed decisions based on accurate data. This will not only enhance operational efficiency but also improve customer engagement and satisfaction, as businesses can provide more personalized and timely services to their clients. The integration of agentic AI into enterprise operations will be a key factor in driving innovation and staying competitive in the ever-evolving business landscape.
Multi-Cloud Adoption and Its Benefits
Multi-cloud adoption is anticipated to rise by 2025, with hyperscalers like Google, Microsoft, and AWS embracing this strategy. Paul Horn, Senior Director of Global Microsoft Partnership at Nasuni, suggests that for Google Cloud, adopting a multi-cloud approach could extend its reach across diverse cloud environments. This flexibility will enable customers to leverage various cloud providers to suit their needs, opening up new co-sell opportunities across partner ecosystems. The ability to integrate multiple cloud platforms will provide businesses with the versatility to deploy their applications and services more efficiently and effectively.
Hyperscalers will also focus on developing industry-tailored products and services, with AWS and Microsoft leading the charge. This development will deliver substantial value to sectors like healthcare, finance, and manufacturing by providing cloud solutions that address unique regulatory and operational requirements. Businesses in these industries can anticipate more precise and effective support for their specialized needs. The customization of cloud solutions will enable organizations to meet their specific demands and enhance their operational efficiency, ultimately driving better business outcomes.
Additionally, multi-cloud strategies will offer businesses greater resilience and mitigate risks associated with relying on a single cloud provider. By diversifying their cloud infrastructure, organizations can ensure continuous operation and data availability even in the event of a failure or disruption with one provider. This approach will enhance the overall reliability and security of enterprise operations, providing peace of mind to businesses and their stakeholders. As multi-cloud adoption becomes more prevalent, it will redefine the cloud computing landscape, driving innovation and offering new opportunities for businesses to capitalize on.
Implications for MSPs and MSSPs
Cloud computing is set to revolutionize artificial intelligence (AI) and enterprise operations by the year 2025. Experts in the industry foresee that advancements in cloud technology will bring about substantial changes for both Managed Service Providers (MSPs) and Managed Security Service Providers (MSSPs). These improvements are expected to drive significant value and revenue streams for these service providers. The anticipated developments in cloud computing will not only boost AI capabilities substantially but will also transform the way businesses operate. Increased productivity, greater efficiency, and enhanced technological integration are some of the key benefits that businesses are likely to experience, leading to a notable shift in enterprise operations. Furthermore, the synergy between cloud computing and AI will enable businesses to leverage vast amounts of data for more informed decision-making, innovation, and competitive advantage. Ultimately, companies adopting these advancements are expected to outperform their peers, positioning themselves better for long-term success in a rapidly evolving technological landscape.
