Unleashing AI: Why AI needs a better cloud strategy

Key Takeaways:

– Speed is a key metric for business success
– AI is now commercially available and can enhance speed and efficiency in various business functions
– AIaaS solutions, similar to SaaS, provide accessibility to AI modeling, NLP, and LLMs
– AI adoption has the potential to boost profitability for businesses by 38% by 2035
– Connectivity is a common bottleneck for businesses to fully benefit from AI technology
– Connectivity infrastructure, such as interconnection technology, is crucial for optimal AI performance
– Cloud-based AI requires a dedicated highway for fast and secure data transfer
– Interconnection technology bypasses the public internet and offers near real-time insights and lightning-fast processing
– Cloud routing services on interconnection platforms enable direct cloud-to-cloud communication and boost application performance
– Businesses need to be in the cloud and have the right connectivity infrastructure to thrive in the AI-driven market.


Speed has always been one of the key metrics of business success. The need for speed has been amplified in recent years, with time-to-market, streamlined production, seamless logistics, and round-the-clock customer service all now expected as a baseline for companies that want to compete. We’ve reached the limit of what hard work and elbow grease can achieve in these fields, and that’s where artificial intelligence (AI) takes the baton and runs with it.

AI models are no longer a fringe technology. They’re now commercially available, and companies can train them to suit their own specific use cases. In no small part, this new-found accessibility is due to the cloud environment and the agility, flexibility, and scalability that comes with it. The marriage of AI and the cloud has paved the way for AI-as-a-Service (AIaaS) solutions – just as the majority of businesses now benefit from Software-as-a-Service (SaaS) to avoid lengthy vendor lock-ins and dependence on outdated platforms, AIaaS brings the benefits of AI modeling, natural language processing (NLP), and large language models (LLMs) to the masses.

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AI Eclipse TLDR:

The combination of speed and artificial intelligence (AI) has become a crucial factor in business success. With the increasing demand for fast time-to-market, efficient production, seamless logistics, and round-the-clock customer service, companies are turning to AI to meet these expectations. AI models are now widely available, thanks to the cloud environment, which offers agility, flexibility, and scalability. This has led to the emergence of AI-as-a-Service (AIaaS) solutions, similar to the popular Software-as-a-Service (SaaS) model. According to Accenture, AI adoption has the potential to increase profitability for businesses by an average of 38% by 2035.

However, connectivity remains a major bottleneck for businesses looking to leverage AI. The speed and robustness of connectivity are critical for harnessing AI effectively. Advanced AI use cases also require a well-configured multi-cloud environment that guarantees security and performance. To address this issue, businesses need to ensure they have a dedicated highway for AI processing, rather than relying on basic public internet connectivity. Interconnection technology offers a solution by using direct connections from company IT infrastructure to cloud services, bypassing the public internet. This setup allows for near real-time insights and lightning-fast processing, avoiding the unreliability of the public internet. Additionally, implementing a cloud routing service on an interconnection platform enables direct cloud-to-cloud communication, enhancing application performance and interoperability between clouds.

Businesses are increasingly adopting AI, with 35% of global businesses already using it in some form. The AIaaS market is expected to grow by close to 40% per year until 2030. To take advantage of this trend, businesses must embrace the cloud and ensure they have the necessary connectivity infrastructure in place to thrive. AI has the potential to optimize key performance indicators (KPIs) and improve overall business performance, but only if businesses can overcome the connectivity bottleneck.