– 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majority of businesses now benefit from Software-as-a-Service (SaaS) to avoid lengthy vendor lock-ins and dependence on outdated platforms, AIaaS brings the benefits of AI modeling, natural language processing (NLP), and large language models (LLMs) to the masses.
These benefits are difficult to ignore. According to a report by Accenture, AI adoption has the potential to boost profitability for businesses by an average of 38% by 2035. However, for businesses to reap the benefits of this now highly accessible technology, they will need to overcome one of the most common bottlenecks – connectivity. Not only is the speed and robustness of connectivity critical for harnessing AI, advanced use cases also demand an expertly configured multi-cloud environment that guarantees security and performance.
CEO at DE-CIX, a leading provider of premium interconnection services.
Putting the “P” in KPI
All businesses use key performance indicators to measure their success, from first call resolution (FCR) to the time it takes to get a product to market. The scope and ambition of these KPIs are naturally limited by what the business can realistically achieve, but AI is changing that. Take Amazon, for instance, which leverages AI to create tailored product recommendations, optimize pricing strategies on a regional basis, and detect fraudulent reviews and transactions. All of these functions tie directly to KPIs such as sales volume, recurring custom, and risk mitigation – all made possible through the deployment of AI. One of Facebook’s most high-pressure KPIs in recent years has been the moderation of content on its platform. It too has leveraged AI and machine learning to flag and remove inappropriate content, allowing it to increase its KPI targets and meet them to preserve trust in its brand.
The car manufacturing industry is another great example. Car manufacturers will have countless KPIs around driver and passenger safety, which can now be bolstered using AI. Onboard infotainment systems can use real-time sensors to detect things like driver tiredness – something that would not have been possible without the inclusion of artificial intelligence.
As tools such as OpenAI’s ChatGPT and Google’s PaLM increase in sophistication and availability, the opportunity for businesses of all shapes and sizes to optimize their KPIs and achieve a higher level of performance is now within reach – but only if they avoid the connectivity bottleneck.
Connectivity is the bedrock of cloud-based AI
Adding more traffic to an already congested road will only lead to more problems, particularly when that traffic needs to move at lightning speeds in order to be useful. Adopting AIaaS with basic public internet connectivity is like setting racing cars on a busy urban road. It’s technically possible, but won’t yield the desired results. If businesses are going to invest in the race car (AIaaS), they need to ensure there’s a dedicated highway for them to use. Interconnection technology can offer that highway.
The speed of data transfer (the race car) to and from the cloud is crucial, and the public internet’s unpredictable routes can slow down traffic and, perhaps worse, risk the exposure of sensitive data. Interconnection achieves optimal performance by using direct connections from company IT infrastructure to cloud services that bypass the public Internet. Businesses can still use the urban road (public cloud) for non-critical traffic, and use the dedicated highway offered by interconnection technology for AI processing. This setup avoids the unreliability of the public internet, offering near real-time insights and lightning-fast processing. Implementing a cloud routing service on an interconnection platform also allows direct cloud-to-cloud communication, eliminating the need for data to travel back to the company infrastructure. This service boosts application performance across systems and ensures seamless interoperability between clouds – perfect for multi-cloud setups.
So, the race is on. According to IBM, 35% of businesses globally have already adopted AI in some form, and the AIaaS market is set to grow by close to 40% per year until 2030. To be part of this upward curve, businesses need to be in the cloud – but more than that, they need to have the connectivity infrastructure in place to thrive in the cloud.
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.