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A powerful technology, artificial intelligence, is rapidly transforming business across several industries. One of the key advancements associated with this powerful technology is its ability to leverage AI capabilities in the cloud. Cloud-based AI, also known as AI in the Cloud,” proposes a wide range of benefits and opportunities for businesses.

The primary advantage of AI in the cloud is its scalability. Cloud platforms provide the infrastructure and resources required for deploying and scaling AI models quickly and efficiently.

AI capabilities can also be leveraged by businesses without investing in expensive hardware or being concerned with infrastructure limitations. AI services are in demand, allowing AI initiatives to be scaled to meet their needs.

AI in the cloud also benefits from its accessibility. The cloud platforms provide user-friendly interfaces and APIs to enable businesses to interact with AI models and services easily.

AI technology is democratized by businesses because of its size and technical expertise. Companies can tap into AI’s power without the need for extensive AI knowledge or dedicated AI teams.

Cloud-based AI also provides businesses with access to a vast amount of data. The cloud platforms also provide storage and data management capabilities, allowing companies to store, process, and analyze large datasets efficiently.

The data-driven approach also provides more accurate and powerful AI models for better insights and decision-making. Cloud platforms support AI marketplaces or communities for businesses that can access pre-trained models to share their models and collaborate with other organizations.

The collaborative ecosystem also provides innovation and accelerates AI development to benefit businesses across several other sectors.

But… but…. But, any new technology is never without its constraints, limitations, or potential challenges. While adopting AI in the cloud supports business revenue generation with more accurate data, the challenge of data security and privacy cannot be avoided. The data is also adequately protected by businesses when leveraging cloud-based AI services.

Robust security measures and complying with relevant regulations are also crucial for data integrity and confidentiality.

Cloud-based AI companies can tap into the transformative power of AI without the need for extensive resources or experience to enhance productivity and competitiveness in the digital age.

IT resources are substantially required by AI applications, mainly in terms of computational power, and companies are facing challenges in meeting these requirements. AI operations are crucial for graphics processing units (GPUs) due to their ability to accelerate complete calculations.

The surge in demand and supply bottlenecks led to inflated GPU prices; hence, businesses are having difficulty acquiring cost-effective hardware for their AI projects.

However, companies are also exploring alternative approaches to overcome the hurdle:

• Cloud service providers offer GPU instances to enable businesses to access the required computational power without significant upfront investments in hardware.
• GPU optimization can be achieved by companies optimizing the AI algorithms and models by using techniques such as model compression, quantization, and efficient memory utilization to reduce computational requirements.
• Collaborative partnerships with companies for accessing GPU resources The partnerships include academic institutions, research labs, or specialized AI service providers.
• AI projects for companies prioritize their strategic value and allocate available GPU resources accordingly. The potential impact and return on investment of each project were assessed carefully.

A lot of large companies are providing cloud-based AI technologies with advanced capabilities to support smaller and mid-sized companies. The companies are supporting implementation through rollout to daily use.

For many German companies, AI-as-a-service has become an integral part of their everyday lives, with the cloud offering suitable, tailored AI services for high flexibility with good computing power and storage capability.

Source: industry of things, cas, readwrite, Thorn Technologies